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description Publicationkeyboard_double_arrow_right Article , Journal 2019 ItalyPublisher:Elsevier BV Bosisio, Alessandro; Berizzi, Alberto; Le, Dinh-Duong; Bassi, Fabio; Giannuzzi, Giorgio;handle: 11311/1080248 , 11571/1464783
Abstract Traditionally, the rating of an overhead transmission line is determined under a set of specified and standardized conditions. However, weather conditions along the line change during operation. Therefore, the standard rating of the line might be either underestimated, leading to inefficient utilization of the line, or overestimated, leading to unsecure operation. This is the major drawback of the traditional approach: the so-called dynamic thermal rating (DTR), that takes into account the actual operating conditions along the line to determine the rating, is today a critical need. In this paper, we develop a comprehensive methodology for exploring all necessary information about stochastic processes of environmental variables surrounding and along the line using available data. The results can be used as input to determine the actual rating of the considered transmission line to enhance the determination of the rating for transmission lines.
RE.PUBLIC@POLIMI Res... arrow_drop_down Electric Power Systems ResearchArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2019.02.028&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down Electric Power Systems ResearchArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2019.02.028&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 ItalyPublisher:Elsevier BV Bosisio, Alessandro; Berizzi, Alberto; Le, Dinh-Duong; Bassi, Fabio; Giannuzzi, Giorgio;handle: 11311/1080248 , 11571/1464783
Abstract Traditionally, the rating of an overhead transmission line is determined under a set of specified and standardized conditions. However, weather conditions along the line change during operation. Therefore, the standard rating of the line might be either underestimated, leading to inefficient utilization of the line, or overestimated, leading to unsecure operation. This is the major drawback of the traditional approach: the so-called dynamic thermal rating (DTR), that takes into account the actual operating conditions along the line to determine the rating, is today a critical need. In this paper, we develop a comprehensive methodology for exploring all necessary information about stochastic processes of environmental variables surrounding and along the line using available data. The results can be used as input to determine the actual rating of the considered transmission line to enhance the determination of the rating for transmission lines.
RE.PUBLIC@POLIMI Res... arrow_drop_down Electric Power Systems ResearchArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2019.02.028&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down Electric Power Systems ResearchArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2019.02.028&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021 ItalyPublisher:IEEE Bosisio A.; Berizzi A.; De Cal F.; Morotti A.; Greco B.; Iannarelli G.;handle: 11573/1615539 , 11311/1198613
Recent efforts to decrease energy consumption and greenhouse gas emissions have resulted in sustainable, intelligent districts with energy-efficient buildings, distributed multi-energy generation systems, and alternative transportation approaches. However, there is usually slight or no coordination between the district planners and the distribution system operators. Most attention is paid to the district's annual load and generation without considering the electrical distribution network impacts. The paper presents an approach that embeds heating, cooling, several households, office appliance, and distributed generation load profiles to investigate the opportunity given by integrated planning and operation of new urban districts with distribution networks. The model has been applied to the decommissioned Farini railway yard in Milan, considering five scenarios with different electrical appliances, Combined Heat and Power (CHP) plants, and Photovoltaic (PV) systems. Several district load profiles are simulated and their influence on local distribution networks is investigated by considering different demand and distributed generators (DGs) production. Preliminary results show promising opportunities both for end-users and utilities.
RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2021Archivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.23919/aeit53387.2021.9626949&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2021Archivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.23919/aeit53387.2021.9626949&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021 ItalyPublisher:IEEE Bosisio A.; Berizzi A.; De Cal F.; Morotti A.; Greco B.; Iannarelli G.;handle: 11573/1615539 , 11311/1198613
Recent efforts to decrease energy consumption and greenhouse gas emissions have resulted in sustainable, intelligent districts with energy-efficient buildings, distributed multi-energy generation systems, and alternative transportation approaches. However, there is usually slight or no coordination between the district planners and the distribution system operators. Most attention is paid to the district's annual load and generation without considering the electrical distribution network impacts. The paper presents an approach that embeds heating, cooling, several households, office appliance, and distributed generation load profiles to investigate the opportunity given by integrated planning and operation of new urban districts with distribution networks. The model has been applied to the decommissioned Farini railway yard in Milan, considering five scenarios with different electrical appliances, Combined Heat and Power (CHP) plants, and Photovoltaic (PV) systems. Several district load profiles are simulated and their influence on local distribution networks is investigated by considering different demand and distributed generators (DGs) production. Preliminary results show promising opportunities both for end-users and utilities.
RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2021Archivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.23919/aeit53387.2021.9626949&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2021Archivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.23919/aeit53387.2021.9626949&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 ItalyPublisher:Elsevier BV A. Bosisio; A. Berizzi; E. Amaldi; C. Bovo; A. Morotti; B. Greco; G. Iannarelli;handle: 11573/1561792 , 11573/1668208 , 11311/1146722 , 11571/1450109 , 11571/1515699
Abstract This paper presents a novel methodology for the Distribution Networks expansion planning based on Geographic Information Systems. The proposed methodology combines Delaunay Triangulation with a Mixed-Integer Linear Programming model in a 2-steps approach. Secondary substations are grouped in primary substation clusters, considering both normal and contingency operation. Topological and electrical constraints have to be fulfilled as well as a given level of reliability; the mathematical formulation includes feeder and substation constraints. The proposed methodology is expected to be only the first step of the whole network expansion planning. Hence, it has to be able to give macro information that planners can refine in the following steps of the planning process. A numerical case study on a real network illustrates the effectiveness of the proposed approach for the Distribution Network expansion planning problem.
Archivio della ricer... arrow_drop_down Electric Power Systems ResearchArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2020.106684&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu23 citations 23 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down Electric Power Systems ResearchArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2020.106684&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 ItalyPublisher:Elsevier BV A. Bosisio; A. Berizzi; E. Amaldi; C. Bovo; A. Morotti; B. Greco; G. Iannarelli;handle: 11573/1561792 , 11573/1668208 , 11311/1146722 , 11571/1450109 , 11571/1515699
Abstract This paper presents a novel methodology for the Distribution Networks expansion planning based on Geographic Information Systems. The proposed methodology combines Delaunay Triangulation with a Mixed-Integer Linear Programming model in a 2-steps approach. Secondary substations are grouped in primary substation clusters, considering both normal and contingency operation. Topological and electrical constraints have to be fulfilled as well as a given level of reliability; the mathematical formulation includes feeder and substation constraints. The proposed methodology is expected to be only the first step of the whole network expansion planning. Hence, it has to be able to give macro information that planners can refine in the following steps of the planning process. A numerical case study on a real network illustrates the effectiveness of the proposed approach for the Distribution Network expansion planning problem.
Archivio della ricer... arrow_drop_down Electric Power Systems ResearchArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2020.106684&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu23 citations 23 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down Electric Power Systems ResearchArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2020.106684&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2022Embargo end date: 01 Jan 2022 ItalyPublisher:Elsevier BV Bosisio A.; Soldan F.; Morotti A.; Iannarelli G.; Bionda E.; Grillo S.;handle: 11311/1218622 , 11571/1464773
COVID-19 pandemic has been a disruptive event from health, social, and economic points of view. Besides that, changes in people's lifestyles, especially during the 2020 lockdowns, also affected energy networks. COVID-19 pandemic has resulted in a significant decline in electricity demand. The lockdown measures applied to handle the health crisis have caused the most relevant energy impact of the last years. In this paper, the local experiences of the distribution network of Milano, a city in northern Italy, are reported. The analysis starts with a summary of the restrictions imposed during 2020 and focuses on both active and reactive power flows, and faults. To this end, a comparison with 2019 data has been performed, highlighting the main differences with 2020. The outcome of the analysis is a valuable tool to predict urban distribution networks behavior during times of disruption, helping distribution system operators to prepare feasible short-term and long-term resilience plans.
PubMed Central arrow_drop_down Sustainable Energy Grids and NetworksArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefhttps://dx.doi.org/10.48550/ar...Article . 2022License: arXiv Non-Exclusive DistributionData sources: DataciteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.segan.2022.100755&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert PubMed Central arrow_drop_down Sustainable Energy Grids and NetworksArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefhttps://dx.doi.org/10.48550/ar...Article . 2022License: arXiv Non-Exclusive DistributionData sources: DataciteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.segan.2022.100755&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2022Embargo end date: 01 Jan 2022 ItalyPublisher:Elsevier BV Bosisio A.; Soldan F.; Morotti A.; Iannarelli G.; Bionda E.; Grillo S.;handle: 11311/1218622 , 11571/1464773
COVID-19 pandemic has been a disruptive event from health, social, and economic points of view. Besides that, changes in people's lifestyles, especially during the 2020 lockdowns, also affected energy networks. COVID-19 pandemic has resulted in a significant decline in electricity demand. The lockdown measures applied to handle the health crisis have caused the most relevant energy impact of the last years. In this paper, the local experiences of the distribution network of Milano, a city in northern Italy, are reported. The analysis starts with a summary of the restrictions imposed during 2020 and focuses on both active and reactive power flows, and faults. To this end, a comparison with 2019 data has been performed, highlighting the main differences with 2020. The outcome of the analysis is a valuable tool to predict urban distribution networks behavior during times of disruption, helping distribution system operators to prepare feasible short-term and long-term resilience plans.
PubMed Central arrow_drop_down Sustainable Energy Grids and NetworksArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefhttps://dx.doi.org/10.48550/ar...Article . 2022License: arXiv Non-Exclusive DistributionData sources: DataciteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.segan.2022.100755&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert PubMed Central arrow_drop_down Sustainable Energy Grids and NetworksArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefhttps://dx.doi.org/10.48550/ar...Article . 2022License: arXiv Non-Exclusive DistributionData sources: DataciteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.segan.2022.100755&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 ItalyPublisher:MDPI AG Bosisio A.; Berizzi A.; Merlo M.; Morotti A.; Iannarelli G.;doi: 10.3390/app12126008
handle: 11311/1218623 , 11571/1464779
The paper aims to provide primary substations’ optimal siting and timing to expand existing distribution networks. The proposed methodology relies on three main features: a geographic information system for capturing, elaborating, and displaying spatial input data; a particle swarm optimization algorithm to locate and timing the new primary substations; a Voronoi diagram-based approach to find the primary substation service areas and loading. The optimization criteria follow the approach of serving every customer from the nearest primary substation to ensure that the distribution delivery distance is as short as possible, reducing feeders’ cost, electric losses, and service interruption exposure. The algorithm also considers the primary substation transformers’ capacity limit. Thanks to Unareti, the distribution system operator of Milan and Brescia, the methodology was tested by carrying out several simulations, progressively increasing the number of new primary substations. The results obtained confirm the proposed approach’s effectiveness and show that the methodology is a valuable tool to guide Unareti, and distribution system operators in general, in expanding distribution networks to face the challenges of the energy transition.
Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2076-3417/12/12/6008/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app12126008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2076-3417/12/12/6008/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app12126008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 ItalyPublisher:MDPI AG Bosisio A.; Berizzi A.; Merlo M.; Morotti A.; Iannarelli G.;doi: 10.3390/app12126008
handle: 11311/1218623 , 11571/1464779
The paper aims to provide primary substations’ optimal siting and timing to expand existing distribution networks. The proposed methodology relies on three main features: a geographic information system for capturing, elaborating, and displaying spatial input data; a particle swarm optimization algorithm to locate and timing the new primary substations; a Voronoi diagram-based approach to find the primary substation service areas and loading. The optimization criteria follow the approach of serving every customer from the nearest primary substation to ensure that the distribution delivery distance is as short as possible, reducing feeders’ cost, electric losses, and service interruption exposure. The algorithm also considers the primary substation transformers’ capacity limit. Thanks to Unareti, the distribution system operator of Milan and Brescia, the methodology was tested by carrying out several simulations, progressively increasing the number of new primary substations. The results obtained confirm the proposed approach’s effectiveness and show that the methodology is a valuable tool to guide Unareti, and distribution system operators in general, in expanding distribution networks to face the challenges of the energy transition.
Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2076-3417/12/12/6008/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app12126008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2076-3417/12/12/6008/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app12126008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2019 ItalyPublisher:IEEE Bosisio A.; Berizzi A.; Rossetto Moraes G.; Nebuloni Riccardo; Giannuzzi G.; Zaottini R.; Maiolini C.;handle: 11311/1121048
In this study, a new PMU-based method of identification of electromechanical oscillations is presented exploiting Principal Components Analysis (PCA). The proposed method makes it possible to carry out analysis on a limited number of the so-called Princial Components (PCs), obtaining information on the behavior of voltages and currents at buses following a small perturbation. The analysis is completed using the Prony analysis on the PCs, which is able to determine the amplitude, frequency and damping of a mode. To assess the effectiveness of the method, the algorithm has been applied on a test system based on the Kundur Two-area system as well as on a real event.
RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2019https://doi.org/10.1109/iccep....Conference object . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccep.2019.8890192&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu5 citations 5 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2019https://doi.org/10.1109/iccep....Conference object . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccep.2019.8890192&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2019 ItalyPublisher:IEEE Bosisio A.; Berizzi A.; Rossetto Moraes G.; Nebuloni Riccardo; Giannuzzi G.; Zaottini R.; Maiolini C.;handle: 11311/1121048
In this study, a new PMU-based method of identification of electromechanical oscillations is presented exploiting Principal Components Analysis (PCA). The proposed method makes it possible to carry out analysis on a limited number of the so-called Princial Components (PCs), obtaining information on the behavior of voltages and currents at buses following a small perturbation. The analysis is completed using the Prony analysis on the PCs, which is able to determine the amplitude, frequency and damping of a mode. To assess the effectiveness of the method, the algorithm has been applied on a test system based on the Kundur Two-area system as well as on a real event.
RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2019https://doi.org/10.1109/iccep....Conference object . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccep.2019.8890192&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu5 citations 5 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2019https://doi.org/10.1109/iccep....Conference object . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccep.2019.8890192&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 ItalyPublisher:MDPI AG Authors: Bosisio A.; Moncecchi M.; Morotti A.; Merlo M.;doi: 10.3390/en14144133
handle: 11311/1181722 , 11571/1464776
Currently, distribution system operators (DSOs) are asked to operate distribution grids, managing the rise of the distributed generators (DGs), the rise of the load correlated to heat pump and e-mobility, etc. Nevertheless, they are asked to minimize investments in new sensors and telecommunication links and, consequently, several nodes of the grid are still not monitored and tele-controlled. At the same time, DSOs are asked to improve the network’s resilience, looking for a reduction in the frequency and impact of power outages caused by extreme weather events. The paper presents a machine learning GIS-based approach to estimate a secondary substation’s load profiles, even in those cases where monitoring sensors are not deployed. For this purpose, a large amount of data from different sources has been collected and integrated to describe secondary substation load profiles adequately. Based on real measurements of some secondary substations (medium-voltage to low-voltage interface) given by Unareti, the DSO of Milan, and georeferenced data gathered from open-source databases, unknown secondary substations load profiles are estimated. Three types of machine learning algorithms, regression tree, boosting, and random forest, as well as geographic information system (GIS) information, such as secondary substation locations, building area, types of occupants, etc., are considered to find the most effective approach.
Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/14/4133/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14144133&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 16 citations 16 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/14/4133/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14144133&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 ItalyPublisher:MDPI AG Authors: Bosisio A.; Moncecchi M.; Morotti A.; Merlo M.;doi: 10.3390/en14144133
handle: 11311/1181722 , 11571/1464776
Currently, distribution system operators (DSOs) are asked to operate distribution grids, managing the rise of the distributed generators (DGs), the rise of the load correlated to heat pump and e-mobility, etc. Nevertheless, they are asked to minimize investments in new sensors and telecommunication links and, consequently, several nodes of the grid are still not monitored and tele-controlled. At the same time, DSOs are asked to improve the network’s resilience, looking for a reduction in the frequency and impact of power outages caused by extreme weather events. The paper presents a machine learning GIS-based approach to estimate a secondary substation’s load profiles, even in those cases where monitoring sensors are not deployed. For this purpose, a large amount of data from different sources has been collected and integrated to describe secondary substation load profiles adequately. Based on real measurements of some secondary substations (medium-voltage to low-voltage interface) given by Unareti, the DSO of Milan, and georeferenced data gathered from open-source databases, unknown secondary substations load profiles are estimated. Three types of machine learning algorithms, regression tree, boosting, and random forest, as well as geographic information system (GIS) information, such as secondary substation locations, building area, types of occupants, etc., are considered to find the most effective approach.
Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/14/4133/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14144133&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 16 citations 16 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/14/4133/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14144133&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 ItalyPublisher:Elsevier BV Authors: Bosisio A.; Moncecchi M.; Cassetti G.; Merlo M.;handle: 11311/1106250 , 11571/1464782
Abstract The paper provides a methodology for the techno-economic optimization of microgrid systems and its application on the case study of St. Mary Lacor hospital of Gulu, Uganda. The low reliability of the Ugandan national grid represents a barrier for the operation of the infrastructures in the hospital and leads to extra costs for back-up solutions. Authors performed a two months data collection campaign, then the electrical load of the hospital has been simulated adopting two hundred realistic profiles obtained by means of a Monte Carlo procedure based on an on-site survey. Such data has been adopted in order to design a theoretical new microgrid capable to optimally feed the loads operating both in a grid tied and in a stand-alone configuration. One of the main goals of the microgrid is in the maximization of the energy supply reliability. The optimization method developed is based on the Poli.NRG tool, developed by Politecnico di Milano; it defines the optimal size of the system components as well as their dispatch strategy. The numerical results of the simulation could be adopted by the Hospital managers in order to evaluate new generators to be deployed in the facility and to identify the best energy policy.
RE.PUBLIC@POLIMI Res... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2019.100535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2019.100535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 ItalyPublisher:Elsevier BV Authors: Bosisio A.; Moncecchi M.; Cassetti G.; Merlo M.;handle: 11311/1106250 , 11571/1464782
Abstract The paper provides a methodology for the techno-economic optimization of microgrid systems and its application on the case study of St. Mary Lacor hospital of Gulu, Uganda. The low reliability of the Ugandan national grid represents a barrier for the operation of the infrastructures in the hospital and leads to extra costs for back-up solutions. Authors performed a two months data collection campaign, then the electrical load of the hospital has been simulated adopting two hundred realistic profiles obtained by means of a Monte Carlo procedure based on an on-site survey. Such data has been adopted in order to design a theoretical new microgrid capable to optimally feed the loads operating both in a grid tied and in a stand-alone configuration. One of the main goals of the microgrid is in the maximization of the energy supply reliability. The optimization method developed is based on the Poli.NRG tool, developed by Politecnico di Milano; it defines the optimal size of the system components as well as their dispatch strategy. The numerical results of the simulation could be adopted by the Hospital managers in order to evaluate new generators to be deployed in the facility and to identify the best energy policy.
RE.PUBLIC@POLIMI Res... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2019.100535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2019.100535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:Journal of Modern Power Systems and Clean Energy A. Bosisio; A. Berizzi; D. Lupis; A. Morotti; G. Iannarelli; B. Greco;handle: 11573/1657642 , 11311/1235126 , 11571/1470176
Fault restoration techniques have always been crucial for distribution system operators (DSOs). In the last decade, it started to gain more and more importance due to the introduction of output-based regulations where DSO performances are evaluated according to frequency and duration of energy supply interruptions. The paper presents a tabu-search-based algorithm able to assist distribution network operational engineers in identifying solutions to restore the energy supply after permanent faults. According to the network property, two objective functions are considered to optimize either reliability or resiliency. The mathematical formulation includes the traditional feeders, number of switching operation limit, and radiality constraints. Thanks to the DSO of Milan, Unareti, the proposed algorithm has been tested on a real distribution network to investigate its effectiveness.
Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2023License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaIRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.35833/mpce.2022.000150&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 14 citations 14 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2023License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaIRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.35833/mpce.2022.000150&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:Journal of Modern Power Systems and Clean Energy A. Bosisio; A. Berizzi; D. Lupis; A. Morotti; G. Iannarelli; B. Greco;handle: 11573/1657642 , 11311/1235126 , 11571/1470176
Fault restoration techniques have always been crucial for distribution system operators (DSOs). In the last decade, it started to gain more and more importance due to the introduction of output-based regulations where DSO performances are evaluated according to frequency and duration of energy supply interruptions. The paper presents a tabu-search-based algorithm able to assist distribution network operational engineers in identifying solutions to restore the energy supply after permanent faults. According to the network property, two objective functions are considered to optimize either reliability or resiliency. The mathematical formulation includes the traditional feeders, number of switching operation limit, and radiality constraints. Thanks to the DSO of Milan, Unareti, the proposed algorithm has been tested on a real distribution network to investigate its effectiveness.
Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2023License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaIRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.35833/mpce.2022.000150&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 14 citations 14 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2023License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaIRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.35833/mpce.2022.000150&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:MDPI AG Authors: Durim Musiqi; Vjosë Kastrati; Alessandro Bosisio; Alberto Berizzi;doi: 10.3390/app132312690
handle: 11571/1504843
This paper makes use of machine learning as a tool for voltage regulation in distribution networks that contain electric vehicles and a large production from distributed generation. The methods of voltage regulation considered in this study are electronic on-load tap changers and line voltage regulators. The analyzed study-case represents a real-life feeder which operates at 10 kV. It has 9 photovoltaic systems with various peak installed powers, 2 electric vehicle charging stations, and 41 secondary substations, each with an equivalent load. Measurement data of loads and irradiation data of photovoltaic systems were collected hourly for two years. Those data are used as inputs in the feeder’s model in DigSilent PowerFactory where Quasi-Dynamic simulations are run. That will provide the correct tap positions as outputs. These inputs and outputs will then serve to train a Deep Neural Network which later will be used to predict the correct tap positions on input data it has not seen before. Results show that ML in general and DNN specifically show usefulness and robustness in predicting correct tap positions with very small computational requirements.
Applied Sciences arrow_drop_down IRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app132312690&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 6 citations 6 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert Applied Sciences arrow_drop_down IRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app132312690&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:MDPI AG Authors: Durim Musiqi; Vjosë Kastrati; Alessandro Bosisio; Alberto Berizzi;doi: 10.3390/app132312690
handle: 11571/1504843
This paper makes use of machine learning as a tool for voltage regulation in distribution networks that contain electric vehicles and a large production from distributed generation. The methods of voltage regulation considered in this study are electronic on-load tap changers and line voltage regulators. The analyzed study-case represents a real-life feeder which operates at 10 kV. It has 9 photovoltaic systems with various peak installed powers, 2 electric vehicle charging stations, and 41 secondary substations, each with an equivalent load. Measurement data of loads and irradiation data of photovoltaic systems were collected hourly for two years. Those data are used as inputs in the feeder’s model in DigSilent PowerFactory where Quasi-Dynamic simulations are run. That will provide the correct tap positions as outputs. These inputs and outputs will then serve to train a Deep Neural Network which later will be used to predict the correct tap positions on input data it has not seen before. Results show that ML in general and DNN specifically show usefulness and robustness in predicting correct tap positions with very small computational requirements.
Applied Sciences arrow_drop_down IRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app132312690&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 6 citations 6 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert Applied Sciences arrow_drop_down IRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app132312690&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Journal 2019 ItalyPublisher:Elsevier BV Bosisio, Alessandro; Berizzi, Alberto; Le, Dinh-Duong; Bassi, Fabio; Giannuzzi, Giorgio;handle: 11311/1080248 , 11571/1464783
Abstract Traditionally, the rating of an overhead transmission line is determined under a set of specified and standardized conditions. However, weather conditions along the line change during operation. Therefore, the standard rating of the line might be either underestimated, leading to inefficient utilization of the line, or overestimated, leading to unsecure operation. This is the major drawback of the traditional approach: the so-called dynamic thermal rating (DTR), that takes into account the actual operating conditions along the line to determine the rating, is today a critical need. In this paper, we develop a comprehensive methodology for exploring all necessary information about stochastic processes of environmental variables surrounding and along the line using available data. The results can be used as input to determine the actual rating of the considered transmission line to enhance the determination of the rating for transmission lines.
RE.PUBLIC@POLIMI Res... arrow_drop_down Electric Power Systems ResearchArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2019.02.028&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down Electric Power Systems ResearchArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2019.02.028&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 ItalyPublisher:Elsevier BV Bosisio, Alessandro; Berizzi, Alberto; Le, Dinh-Duong; Bassi, Fabio; Giannuzzi, Giorgio;handle: 11311/1080248 , 11571/1464783
Abstract Traditionally, the rating of an overhead transmission line is determined under a set of specified and standardized conditions. However, weather conditions along the line change during operation. Therefore, the standard rating of the line might be either underestimated, leading to inefficient utilization of the line, or overestimated, leading to unsecure operation. This is the major drawback of the traditional approach: the so-called dynamic thermal rating (DTR), that takes into account the actual operating conditions along the line to determine the rating, is today a critical need. In this paper, we develop a comprehensive methodology for exploring all necessary information about stochastic processes of environmental variables surrounding and along the line using available data. The results can be used as input to determine the actual rating of the considered transmission line to enhance the determination of the rating for transmission lines.
RE.PUBLIC@POLIMI Res... arrow_drop_down Electric Power Systems ResearchArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2019.02.028&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down Electric Power Systems ResearchArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2019.02.028&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021 ItalyPublisher:IEEE Bosisio A.; Berizzi A.; De Cal F.; Morotti A.; Greco B.; Iannarelli G.;handle: 11573/1615539 , 11311/1198613
Recent efforts to decrease energy consumption and greenhouse gas emissions have resulted in sustainable, intelligent districts with energy-efficient buildings, distributed multi-energy generation systems, and alternative transportation approaches. However, there is usually slight or no coordination between the district planners and the distribution system operators. Most attention is paid to the district's annual load and generation without considering the electrical distribution network impacts. The paper presents an approach that embeds heating, cooling, several households, office appliance, and distributed generation load profiles to investigate the opportunity given by integrated planning and operation of new urban districts with distribution networks. The model has been applied to the decommissioned Farini railway yard in Milan, considering five scenarios with different electrical appliances, Combined Heat and Power (CHP) plants, and Photovoltaic (PV) systems. Several district load profiles are simulated and their influence on local distribution networks is investigated by considering different demand and distributed generators (DGs) production. Preliminary results show promising opportunities both for end-users and utilities.
RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2021Archivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.23919/aeit53387.2021.9626949&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2021Archivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.23919/aeit53387.2021.9626949&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021 ItalyPublisher:IEEE Bosisio A.; Berizzi A.; De Cal F.; Morotti A.; Greco B.; Iannarelli G.;handle: 11573/1615539 , 11311/1198613
Recent efforts to decrease energy consumption and greenhouse gas emissions have resulted in sustainable, intelligent districts with energy-efficient buildings, distributed multi-energy generation systems, and alternative transportation approaches. However, there is usually slight or no coordination between the district planners and the distribution system operators. Most attention is paid to the district's annual load and generation without considering the electrical distribution network impacts. The paper presents an approach that embeds heating, cooling, several households, office appliance, and distributed generation load profiles to investigate the opportunity given by integrated planning and operation of new urban districts with distribution networks. The model has been applied to the decommissioned Farini railway yard in Milan, considering five scenarios with different electrical appliances, Combined Heat and Power (CHP) plants, and Photovoltaic (PV) systems. Several district load profiles are simulated and their influence on local distribution networks is investigated by considering different demand and distributed generators (DGs) production. Preliminary results show promising opportunities both for end-users and utilities.
RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2021Archivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.23919/aeit53387.2021.9626949&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2021Archivio della ricerca- Università di Roma La SapienzaConference object . 2021Data sources: Archivio della ricerca- Università di Roma La Sapienzaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.23919/aeit53387.2021.9626949&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 ItalyPublisher:Elsevier BV A. Bosisio; A. Berizzi; E. Amaldi; C. Bovo; A. Morotti; B. Greco; G. Iannarelli;handle: 11573/1561792 , 11573/1668208 , 11311/1146722 , 11571/1450109 , 11571/1515699
Abstract This paper presents a novel methodology for the Distribution Networks expansion planning based on Geographic Information Systems. The proposed methodology combines Delaunay Triangulation with a Mixed-Integer Linear Programming model in a 2-steps approach. Secondary substations are grouped in primary substation clusters, considering both normal and contingency operation. Topological and electrical constraints have to be fulfilled as well as a given level of reliability; the mathematical formulation includes feeder and substation constraints. The proposed methodology is expected to be only the first step of the whole network expansion planning. Hence, it has to be able to give macro information that planners can refine in the following steps of the planning process. A numerical case study on a real network illustrates the effectiveness of the proposed approach for the Distribution Network expansion planning problem.
Archivio della ricer... arrow_drop_down Electric Power Systems ResearchArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2020.106684&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu23 citations 23 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down Electric Power Systems ResearchArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2020.106684&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 ItalyPublisher:Elsevier BV A. Bosisio; A. Berizzi; E. Amaldi; C. Bovo; A. Morotti; B. Greco; G. Iannarelli;handle: 11573/1561792 , 11573/1668208 , 11311/1146722 , 11571/1450109 , 11571/1515699
Abstract This paper presents a novel methodology for the Distribution Networks expansion planning based on Geographic Information Systems. The proposed methodology combines Delaunay Triangulation with a Mixed-Integer Linear Programming model in a 2-steps approach. Secondary substations are grouped in primary substation clusters, considering both normal and contingency operation. Topological and electrical constraints have to be fulfilled as well as a given level of reliability; the mathematical formulation includes feeder and substation constraints. The proposed methodology is expected to be only the first step of the whole network expansion planning. Hence, it has to be able to give macro information that planners can refine in the following steps of the planning process. A numerical case study on a real network illustrates the effectiveness of the proposed approach for the Distribution Network expansion planning problem.
Archivio della ricer... arrow_drop_down Electric Power Systems ResearchArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2020.106684&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu23 citations 23 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down Electric Power Systems ResearchArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.epsr.2020.106684&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2022Embargo end date: 01 Jan 2022 ItalyPublisher:Elsevier BV Bosisio A.; Soldan F.; Morotti A.; Iannarelli G.; Bionda E.; Grillo S.;handle: 11311/1218622 , 11571/1464773
COVID-19 pandemic has been a disruptive event from health, social, and economic points of view. Besides that, changes in people's lifestyles, especially during the 2020 lockdowns, also affected energy networks. COVID-19 pandemic has resulted in a significant decline in electricity demand. The lockdown measures applied to handle the health crisis have caused the most relevant energy impact of the last years. In this paper, the local experiences of the distribution network of Milano, a city in northern Italy, are reported. The analysis starts with a summary of the restrictions imposed during 2020 and focuses on both active and reactive power flows, and faults. To this end, a comparison with 2019 data has been performed, highlighting the main differences with 2020. The outcome of the analysis is a valuable tool to predict urban distribution networks behavior during times of disruption, helping distribution system operators to prepare feasible short-term and long-term resilience plans.
PubMed Central arrow_drop_down Sustainable Energy Grids and NetworksArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefhttps://dx.doi.org/10.48550/ar...Article . 2022License: arXiv Non-Exclusive DistributionData sources: DataciteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.segan.2022.100755&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert PubMed Central arrow_drop_down Sustainable Energy Grids and NetworksArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefhttps://dx.doi.org/10.48550/ar...Article . 2022License: arXiv Non-Exclusive DistributionData sources: DataciteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.segan.2022.100755&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2022Embargo end date: 01 Jan 2022 ItalyPublisher:Elsevier BV Bosisio A.; Soldan F.; Morotti A.; Iannarelli G.; Bionda E.; Grillo S.;handle: 11311/1218622 , 11571/1464773
COVID-19 pandemic has been a disruptive event from health, social, and economic points of view. Besides that, changes in people's lifestyles, especially during the 2020 lockdowns, also affected energy networks. COVID-19 pandemic has resulted in a significant decline in electricity demand. The lockdown measures applied to handle the health crisis have caused the most relevant energy impact of the last years. In this paper, the local experiences of the distribution network of Milano, a city in northern Italy, are reported. The analysis starts with a summary of the restrictions imposed during 2020 and focuses on both active and reactive power flows, and faults. To this end, a comparison with 2019 data has been performed, highlighting the main differences with 2020. The outcome of the analysis is a valuable tool to predict urban distribution networks behavior during times of disruption, helping distribution system operators to prepare feasible short-term and long-term resilience plans.
PubMed Central arrow_drop_down Sustainable Energy Grids and NetworksArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefhttps://dx.doi.org/10.48550/ar...Article . 2022License: arXiv Non-Exclusive DistributionData sources: DataciteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.segan.2022.100755&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert PubMed Central arrow_drop_down Sustainable Energy Grids and NetworksArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefhttps://dx.doi.org/10.48550/ar...Article . 2022License: arXiv Non-Exclusive DistributionData sources: DataciteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.segan.2022.100755&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 ItalyPublisher:MDPI AG Bosisio A.; Berizzi A.; Merlo M.; Morotti A.; Iannarelli G.;doi: 10.3390/app12126008
handle: 11311/1218623 , 11571/1464779
The paper aims to provide primary substations’ optimal siting and timing to expand existing distribution networks. The proposed methodology relies on three main features: a geographic information system for capturing, elaborating, and displaying spatial input data; a particle swarm optimization algorithm to locate and timing the new primary substations; a Voronoi diagram-based approach to find the primary substation service areas and loading. The optimization criteria follow the approach of serving every customer from the nearest primary substation to ensure that the distribution delivery distance is as short as possible, reducing feeders’ cost, electric losses, and service interruption exposure. The algorithm also considers the primary substation transformers’ capacity limit. Thanks to Unareti, the distribution system operator of Milan and Brescia, the methodology was tested by carrying out several simulations, progressively increasing the number of new primary substations. The results obtained confirm the proposed approach’s effectiveness and show that the methodology is a valuable tool to guide Unareti, and distribution system operators in general, in expanding distribution networks to face the challenges of the energy transition.
Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2076-3417/12/12/6008/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app12126008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2076-3417/12/12/6008/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app12126008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 ItalyPublisher:MDPI AG Bosisio A.; Berizzi A.; Merlo M.; Morotti A.; Iannarelli G.;doi: 10.3390/app12126008
handle: 11311/1218623 , 11571/1464779
The paper aims to provide primary substations’ optimal siting and timing to expand existing distribution networks. The proposed methodology relies on three main features: a geographic information system for capturing, elaborating, and displaying spatial input data; a particle swarm optimization algorithm to locate and timing the new primary substations; a Voronoi diagram-based approach to find the primary substation service areas and loading. The optimization criteria follow the approach of serving every customer from the nearest primary substation to ensure that the distribution delivery distance is as short as possible, reducing feeders’ cost, electric losses, and service interruption exposure. The algorithm also considers the primary substation transformers’ capacity limit. Thanks to Unareti, the distribution system operator of Milan and Brescia, the methodology was tested by carrying out several simulations, progressively increasing the number of new primary substations. The results obtained confirm the proposed approach’s effectiveness and show that the methodology is a valuable tool to guide Unareti, and distribution system operators in general, in expanding distribution networks to face the challenges of the energy transition.
Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2076-3417/12/12/6008/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app12126008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2076-3417/12/12/6008/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app12126008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2019 ItalyPublisher:IEEE Bosisio A.; Berizzi A.; Rossetto Moraes G.; Nebuloni Riccardo; Giannuzzi G.; Zaottini R.; Maiolini C.;handle: 11311/1121048
In this study, a new PMU-based method of identification of electromechanical oscillations is presented exploiting Principal Components Analysis (PCA). The proposed method makes it possible to carry out analysis on a limited number of the so-called Princial Components (PCs), obtaining information on the behavior of voltages and currents at buses following a small perturbation. The analysis is completed using the Prony analysis on the PCs, which is able to determine the amplitude, frequency and damping of a mode. To assess the effectiveness of the method, the algorithm has been applied on a test system based on the Kundur Two-area system as well as on a real event.
RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2019https://doi.org/10.1109/iccep....Conference object . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccep.2019.8890192&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu5 citations 5 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2019https://doi.org/10.1109/iccep....Conference object . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccep.2019.8890192&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2019 ItalyPublisher:IEEE Bosisio A.; Berizzi A.; Rossetto Moraes G.; Nebuloni Riccardo; Giannuzzi G.; Zaottini R.; Maiolini C.;handle: 11311/1121048
In this study, a new PMU-based method of identification of electromechanical oscillations is presented exploiting Principal Components Analysis (PCA). The proposed method makes it possible to carry out analysis on a limited number of the so-called Princial Components (PCs), obtaining information on the behavior of voltages and currents at buses following a small perturbation. The analysis is completed using the Prony analysis on the PCs, which is able to determine the amplitude, frequency and damping of a mode. To assess the effectiveness of the method, the algorithm has been applied on a test system based on the Kundur Two-area system as well as on a real event.
RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2019https://doi.org/10.1109/iccep....Conference object . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccep.2019.8890192&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu5 citations 5 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down RE.PUBLIC@POLIMI Research Publications at Politecnico di MilanoConference object . 2019https://doi.org/10.1109/iccep....Conference object . 2019 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccep.2019.8890192&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 ItalyPublisher:MDPI AG Authors: Bosisio A.; Moncecchi M.; Morotti A.; Merlo M.;doi: 10.3390/en14144133
handle: 11311/1181722 , 11571/1464776
Currently, distribution system operators (DSOs) are asked to operate distribution grids, managing the rise of the distributed generators (DGs), the rise of the load correlated to heat pump and e-mobility, etc. Nevertheless, they are asked to minimize investments in new sensors and telecommunication links and, consequently, several nodes of the grid are still not monitored and tele-controlled. At the same time, DSOs are asked to improve the network’s resilience, looking for a reduction in the frequency and impact of power outages caused by extreme weather events. The paper presents a machine learning GIS-based approach to estimate a secondary substation’s load profiles, even in those cases where monitoring sensors are not deployed. For this purpose, a large amount of data from different sources has been collected and integrated to describe secondary substation load profiles adequately. Based on real measurements of some secondary substations (medium-voltage to low-voltage interface) given by Unareti, the DSO of Milan, and georeferenced data gathered from open-source databases, unknown secondary substations load profiles are estimated. Three types of machine learning algorithms, regression tree, boosting, and random forest, as well as geographic information system (GIS) information, such as secondary substation locations, building area, types of occupants, etc., are considered to find the most effective approach.
Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/14/4133/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14144133&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 16 citations 16 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/14/4133/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14144133&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 ItalyPublisher:MDPI AG Authors: Bosisio A.; Moncecchi M.; Morotti A.; Merlo M.;doi: 10.3390/en14144133
handle: 11311/1181722 , 11571/1464776
Currently, distribution system operators (DSOs) are asked to operate distribution grids, managing the rise of the distributed generators (DGs), the rise of the load correlated to heat pump and e-mobility, etc. Nevertheless, they are asked to minimize investments in new sensors and telecommunication links and, consequently, several nodes of the grid are still not monitored and tele-controlled. At the same time, DSOs are asked to improve the network’s resilience, looking for a reduction in the frequency and impact of power outages caused by extreme weather events. The paper presents a machine learning GIS-based approach to estimate a secondary substation’s load profiles, even in those cases where monitoring sensors are not deployed. For this purpose, a large amount of data from different sources has been collected and integrated to describe secondary substation load profiles adequately. Based on real measurements of some secondary substations (medium-voltage to low-voltage interface) given by Unareti, the DSO of Milan, and georeferenced data gathered from open-source databases, unknown secondary substations load profiles are estimated. Three types of machine learning algorithms, regression tree, boosting, and random forest, as well as geographic information system (GIS) information, such as secondary substation locations, building area, types of occupants, etc., are considered to find the most effective approach.
Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/14/4133/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14144133&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 16 citations 16 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/14/4133/pdfData sources: Multidisciplinary Digital Publishing InstituteIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14144133&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 ItalyPublisher:Elsevier BV Authors: Bosisio A.; Moncecchi M.; Cassetti G.; Merlo M.;handle: 11311/1106250 , 11571/1464782
Abstract The paper provides a methodology for the techno-economic optimization of microgrid systems and its application on the case study of St. Mary Lacor hospital of Gulu, Uganda. The low reliability of the Ugandan national grid represents a barrier for the operation of the infrastructures in the hospital and leads to extra costs for back-up solutions. Authors performed a two months data collection campaign, then the electrical load of the hospital has been simulated adopting two hundred realistic profiles obtained by means of a Monte Carlo procedure based on an on-site survey. Such data has been adopted in order to design a theoretical new microgrid capable to optimally feed the loads operating both in a grid tied and in a stand-alone configuration. One of the main goals of the microgrid is in the maximization of the energy supply reliability. The optimization method developed is based on the Poli.NRG tool, developed by Politecnico di Milano; it defines the optimal size of the system components as well as their dispatch strategy. The numerical results of the simulation could be adopted by the Hospital managers in order to evaluate new generators to be deployed in the facility and to identify the best energy policy.
RE.PUBLIC@POLIMI Res... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2019.100535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2019.100535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 ItalyPublisher:Elsevier BV Authors: Bosisio A.; Moncecchi M.; Cassetti G.; Merlo M.;handle: 11311/1106250 , 11571/1464782
Abstract The paper provides a methodology for the techno-economic optimization of microgrid systems and its application on the case study of St. Mary Lacor hospital of Gulu, Uganda. The low reliability of the Ugandan national grid represents a barrier for the operation of the infrastructures in the hospital and leads to extra costs for back-up solutions. Authors performed a two months data collection campaign, then the electrical load of the hospital has been simulated adopting two hundred realistic profiles obtained by means of a Monte Carlo procedure based on an on-site survey. Such data has been adopted in order to design a theoretical new microgrid capable to optimally feed the loads operating both in a grid tied and in a stand-alone configuration. One of the main goals of the microgrid is in the maximization of the energy supply reliability. The optimization method developed is based on the Poli.NRG tool, developed by Politecnico di Milano; it defines the optimal size of the system components as well as their dispatch strategy. The numerical results of the simulation could be adopted by the Hospital managers in order to evaluate new generators to be deployed in the facility and to identify the best energy policy.
RE.PUBLIC@POLIMI Res... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2019.100535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2019 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefIRIS UNIPV (Università degli studi di Pavia)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2019.100535&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:Journal of Modern Power Systems and Clean Energy A. Bosisio; A. Berizzi; D. Lupis; A. Morotti; G. Iannarelli; B. Greco;handle: 11573/1657642 , 11311/1235126 , 11571/1470176
Fault restoration techniques have always been crucial for distribution system operators (DSOs). In the last decade, it started to gain more and more importance due to the introduction of output-based regulations where DSO performances are evaluated according to frequency and duration of energy supply interruptions. The paper presents a tabu-search-based algorithm able to assist distribution network operational engineers in identifying solutions to restore the energy supply after permanent faults. According to the network property, two objective functions are considered to optimize either reliability or resiliency. The mathematical formulation includes the traditional feeders, number of switching operation limit, and radiality constraints. Thanks to the DSO of Milan, Unareti, the proposed algorithm has been tested on a real distribution network to investigate its effectiveness.
Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2023License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaIRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.35833/mpce.2022.000150&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 14 citations 14 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2023License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaIRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.35833/mpce.2022.000150&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:Journal of Modern Power Systems and Clean Energy A. Bosisio; A. Berizzi; D. Lupis; A. Morotti; G. Iannarelli; B. Greco;handle: 11573/1657642 , 11311/1235126 , 11571/1470176
Fault restoration techniques have always been crucial for distribution system operators (DSOs). In the last decade, it started to gain more and more importance due to the introduction of output-based regulations where DSO performances are evaluated according to frequency and duration of energy supply interruptions. The paper presents a tabu-search-based algorithm able to assist distribution network operational engineers in identifying solutions to restore the energy supply after permanent faults. According to the network property, two objective functions are considered to optimize either reliability or resiliency. The mathematical formulation includes the traditional feeders, number of switching operation limit, and radiality constraints. Thanks to the DSO of Milan, Unareti, the proposed algorithm has been tested on a real distribution network to investigate its effectiveness.
Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2023License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaIRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.35833/mpce.2022.000150&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 14 citations 14 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Archivio della ricer... arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2023License: CC BYData sources: Archivio della ricerca- Università di Roma La SapienzaIRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.35833/mpce.2022.000150&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:MDPI AG Authors: Durim Musiqi; Vjosë Kastrati; Alessandro Bosisio; Alberto Berizzi;doi: 10.3390/app132312690
handle: 11571/1504843
This paper makes use of machine learning as a tool for voltage regulation in distribution networks that contain electric vehicles and a large production from distributed generation. The methods of voltage regulation considered in this study are electronic on-load tap changers and line voltage regulators. The analyzed study-case represents a real-life feeder which operates at 10 kV. It has 9 photovoltaic systems with various peak installed powers, 2 electric vehicle charging stations, and 41 secondary substations, each with an equivalent load. Measurement data of loads and irradiation data of photovoltaic systems were collected hourly for two years. Those data are used as inputs in the feeder’s model in DigSilent PowerFactory where Quasi-Dynamic simulations are run. That will provide the correct tap positions as outputs. These inputs and outputs will then serve to train a Deep Neural Network which later will be used to predict the correct tap positions on input data it has not seen before. Results show that ML in general and DNN specifically show usefulness and robustness in predicting correct tap positions with very small computational requirements.
Applied Sciences arrow_drop_down IRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app132312690&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 6 citations 6 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert Applied Sciences arrow_drop_down IRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app132312690&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:MDPI AG Authors: Durim Musiqi; Vjosë Kastrati; Alessandro Bosisio; Alberto Berizzi;doi: 10.3390/app132312690
handle: 11571/1504843
This paper makes use of machine learning as a tool for voltage regulation in distribution networks that contain electric vehicles and a large production from distributed generation. The methods of voltage regulation considered in this study are electronic on-load tap changers and line voltage regulators. The analyzed study-case represents a real-life feeder which operates at 10 kV. It has 9 photovoltaic systems with various peak installed powers, 2 electric vehicle charging stations, and 41 secondary substations, each with an equivalent load. Measurement data of loads and irradiation data of photovoltaic systems were collected hourly for two years. Those data are used as inputs in the feeder’s model in DigSilent PowerFactory where Quasi-Dynamic simulations are run. That will provide the correct tap positions as outputs. These inputs and outputs will then serve to train a Deep Neural Network which later will be used to predict the correct tap positions on input data it has not seen before. Results show that ML in general and DNN specifically show usefulness and robustness in predicting correct tap positions with very small computational requirements.
Applied Sciences arrow_drop_down IRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app132312690&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 6 citations 6 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert Applied Sciences arrow_drop_down IRIS UNIPV (Università degli studi di Pavia)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app132312690&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu