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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2020 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Selecting and Initializing Representative Days for Generation and Transmission Expansion Planning with High Shares of Renewables

Authors: Alessia Cortazzi; Maria Teresa Vespucci; Marco Stabile; Giovanni Micheli;

Selecting and Initializing Representative Days for Generation and Transmission Expansion Planning with High Shares of Renewables

Abstract

Generation and Transmission Expansion Planning (GTEP) to achieve decarbonisation targets in the power sector requires installing relevant shares of production from Renewable Energy Sources (RES). GTEP optimization models determine expansion plans over a long-term horizon so as to minimize the total investment and operation cost. In the presence of high shares of non-dispatchable RES power plants, operation costs must be evaluated taking into account the different operating conditions due to the intermittency of RES power generations. In this work we consider a GTEP model for a power system based on thermal, solar and wind power generation and we introduce a novel approach to select representative days (RDs), discretized in hours, in order to obtain accurate estimates of the operational costs. The RDs are not connected, in order to get a decomposable problem. A procedure is introduced to assign the ON/OFF status of every thermal unit at the beginning of each RD. Numerical results on a test case of suitable dimension show that the proposed method provides expansion plans very close to those obtained by the complete hourly model, while dramatically reducing computational costs.

Country
Italy
Related Organizations
Keywords

Decision trees, Decision trees; Generation and transmission expansion planning; Representative days; Unit commitment;, Representative days, Unit commitment, Generation and transmission expansion planning, Settore MAT/09 - Ricerca Operativa

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average