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description Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Elsevier BV Authors: Kapil Chauhan; Ranjana Sodhi;Abstract This paper proposes a simple yet effective Distribution Phasor Measurements based Islanding Detector (DPMID). The proposed detector relies on the voltage phasor measurements, obtained from the Phasor Measurement Unit (PMU), deployed at the respective Distributed Generator (DG) bus. Next, Teager-Kaiser energy of the positive sequence voltage is readily computed, which effectively discriminates the islanding scenarios from other non-islanding scenarios. The efficacy of the proposed method is verified through various PSCAD/EMTDC simulation, and Hardware-In-Loop (HIL) experiment using Real-Time Digital Simulator (RTDS) and DS1104 micro-controller. A detailed comparative assessment of the proposed method (PM) with recent islanding detection techniques preceded by online signal parameter estimation demonstrates the superiority of the PM with respect to various islanding detection standard such as IEEE 1547–2018, UL1741-SA.
Electric Power Syste... arrow_drop_down Electric Power Systems ResearchArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData 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=10.1016/j.epsr.2020.106964&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Electric Power Syste... arrow_drop_down Electric Power Systems ResearchArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData 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=10.1016/j.epsr.2020.106964&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Elsevier BV Authors: Kapil Chauhan; Ranjana Sodhi;Abstract This paper proposes a simple yet effective Distribution Phasor Measurements based Islanding Detector (DPMID). The proposed detector relies on the voltage phasor measurements, obtained from the Phasor Measurement Unit (PMU), deployed at the respective Distributed Generator (DG) bus. Next, Teager-Kaiser energy of the positive sequence voltage is readily computed, which effectively discriminates the islanding scenarios from other non-islanding scenarios. The efficacy of the proposed method is verified through various PSCAD/EMTDC simulation, and Hardware-In-Loop (HIL) experiment using Real-Time Digital Simulator (RTDS) and DS1104 micro-controller. A detailed comparative assessment of the proposed method (PM) with recent islanding detection techniques preceded by online signal parameter estimation demonstrates the superiority of the PM with respect to various islanding detection standard such as IEEE 1547–2018, UL1741-SA.
Electric Power Syste... arrow_drop_down Electric Power Systems ResearchArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData 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=10.1016/j.epsr.2020.106964&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Electric Power Syste... arrow_drop_down Electric Power Systems ResearchArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData 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=10.1016/j.epsr.2020.106964&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu