Enhanced coordination strategy for an aggregator of distributed energy resources participating in the day-ahead reserve market
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/en13081965 http://hdl.handle.net/11449/201722 |
Resumo: | The integration of distributed energy resources (DERs), e.g., electric vehicles (EVs) and renewable distributed generation (DG), in the electrical distribution system (EDS) brings advantages to society, but also introduces technical challenges (e.g., overloading and voltage issues). A DER aggregator, which has agreements with DERs to manage their consumption/generation, could collaborate with the EDS operator to mitigate those technical challenges. Previous approaches have mainly focused on the aggregator's strategy to manage demand, aiming at the maximization of profits. Therefore, methods to support the aggregator's strategy need to be extended to facilitate the integration of renewable DG, leading to an enhanced coordination of DERs. This paper proposes a linear programming model for the aggregator's coordination strategy to maximize its profit through the management of DERs and the participation in the day-ahead reserve market. The model uses EV charging control to provide up/down reserve and reduces its cost taking advantage of DG. The proposed mathematical model represents the daily EDS operation (hourly resolution) to enforce voltage and current magnitude constraints. A case study carried out in an unbalanced 34-bus EDS with 660 EVs, demonstrates that the application of the proposed method enhances the DER aggregator's strategy, leading to better outcomes in both profits and EDS operation. |
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Repositório Institucional da UNESP |
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Enhanced coordination strategy for an aggregator of distributed energy resources participating in the day-ahead reserve marketAggregator's coordinationDay-ahead reserve marketElectric vehiclesElectrical distribution systemOptimizationRenewable distributed generationThe integration of distributed energy resources (DERs), e.g., electric vehicles (EVs) and renewable distributed generation (DG), in the electrical distribution system (EDS) brings advantages to society, but also introduces technical challenges (e.g., overloading and voltage issues). A DER aggregator, which has agreements with DERs to manage their consumption/generation, could collaborate with the EDS operator to mitigate those technical challenges. Previous approaches have mainly focused on the aggregator's strategy to manage demand, aiming at the maximization of profits. Therefore, methods to support the aggregator's strategy need to be extended to facilitate the integration of renewable DG, leading to an enhanced coordination of DERs. This paper proposes a linear programming model for the aggregator's coordination strategy to maximize its profit through the management of DERs and the participation in the day-ahead reserve market. The model uses EV charging control to provide up/down reserve and reduces its cost taking advantage of DG. The proposed mathematical model represents the daily EDS operation (hourly resolution) to enforce voltage and current magnitude constraints. A case study carried out in an unbalanced 34-bus EDS with 660 EVs, demonstrates that the application of the proposed method enhances the DER aggregator's strategy, leading to better outcomes in both profits and EDS operation.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Electrical Engineering Department São Paulo State University (UNESP)Department of Systems and Energy University of Campinas (UNICAMP)School of Energy Engineering São Paulo State University (UNESP)Electrical Engineering Department São Paulo State University (UNESP)School of Energy Engineering São Paulo State University (UNESP)Universidade Estadual Paulista (Unesp)Universidade Estadual de Campinas (UNICAMP)Guzman, Cindy Paola [UNESP]Arias, Nataly BañolFranco, John Fredy [UNESP]Rider, Marcos J.Romero, Rubén [UNESP]2020-12-12T02:40:06Z2020-12-12T02:40:06Z2020-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/en13081965Energies, v. 13, n. 8, 2020.1996-1073http://hdl.handle.net/11449/20172210.3390/en130819652-s2.0-85084112900Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEnergiesinfo:eu-repo/semantics/openAccess2024-07-04T19:06:02Zoai:repositorio.unesp.br:11449/201722Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:21:05.288337Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Enhanced coordination strategy for an aggregator of distributed energy resources participating in the day-ahead reserve market |
title |
Enhanced coordination strategy for an aggregator of distributed energy resources participating in the day-ahead reserve market |
spellingShingle |
Enhanced coordination strategy for an aggregator of distributed energy resources participating in the day-ahead reserve market Guzman, Cindy Paola [UNESP] Aggregator's coordination Day-ahead reserve market Electric vehicles Electrical distribution system Optimization Renewable distributed generation |
title_short |
Enhanced coordination strategy for an aggregator of distributed energy resources participating in the day-ahead reserve market |
title_full |
Enhanced coordination strategy for an aggregator of distributed energy resources participating in the day-ahead reserve market |
title_fullStr |
Enhanced coordination strategy for an aggregator of distributed energy resources participating in the day-ahead reserve market |
title_full_unstemmed |
Enhanced coordination strategy for an aggregator of distributed energy resources participating in the day-ahead reserve market |
title_sort |
Enhanced coordination strategy for an aggregator of distributed energy resources participating in the day-ahead reserve market |
author |
Guzman, Cindy Paola [UNESP] |
author_facet |
Guzman, Cindy Paola [UNESP] Arias, Nataly Bañol Franco, John Fredy [UNESP] Rider, Marcos J. Romero, Rubén [UNESP] |
author_role |
author |
author2 |
Arias, Nataly Bañol Franco, John Fredy [UNESP] Rider, Marcos J. Romero, Rubén [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Estadual de Campinas (UNICAMP) |
dc.contributor.author.fl_str_mv |
Guzman, Cindy Paola [UNESP] Arias, Nataly Bañol Franco, John Fredy [UNESP] Rider, Marcos J. Romero, Rubén [UNESP] |
dc.subject.por.fl_str_mv |
Aggregator's coordination Day-ahead reserve market Electric vehicles Electrical distribution system Optimization Renewable distributed generation |
topic |
Aggregator's coordination Day-ahead reserve market Electric vehicles Electrical distribution system Optimization Renewable distributed generation |
description |
The integration of distributed energy resources (DERs), e.g., electric vehicles (EVs) and renewable distributed generation (DG), in the electrical distribution system (EDS) brings advantages to society, but also introduces technical challenges (e.g., overloading and voltage issues). A DER aggregator, which has agreements with DERs to manage their consumption/generation, could collaborate with the EDS operator to mitigate those technical challenges. Previous approaches have mainly focused on the aggregator's strategy to manage demand, aiming at the maximization of profits. Therefore, methods to support the aggregator's strategy need to be extended to facilitate the integration of renewable DG, leading to an enhanced coordination of DERs. This paper proposes a linear programming model for the aggregator's coordination strategy to maximize its profit through the management of DERs and the participation in the day-ahead reserve market. The model uses EV charging control to provide up/down reserve and reduces its cost taking advantage of DG. The proposed mathematical model represents the daily EDS operation (hourly resolution) to enforce voltage and current magnitude constraints. A case study carried out in an unbalanced 34-bus EDS with 660 EVs, demonstrates that the application of the proposed method enhances the DER aggregator's strategy, leading to better outcomes in both profits and EDS operation. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-12T02:40:06Z 2020-12-12T02:40:06Z 2020-04-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3390/en13081965 Energies, v. 13, n. 8, 2020. 1996-1073 http://hdl.handle.net/11449/201722 10.3390/en13081965 2-s2.0-85084112900 |
url |
http://dx.doi.org/10.3390/en13081965 http://hdl.handle.net/11449/201722 |
identifier_str_mv |
Energies, v. 13, n. 8, 2020. 1996-1073 10.3390/en13081965 2-s2.0-85084112900 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Energies |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128501717401600 |