Enhanced coordination strategy for an aggregator of distributed energy resources participating in the day-ahead reserve market

Detalhes bibliográficos
Autor(a) principal: Guzman, Cindy Paola [UNESP]
Data de Publicação: 2020
Outros Autores: Arias, Nataly Bañol, Franco, John Fredy [UNESP], Rider, Marcos J., Romero, Rubén [UNESP]
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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spelling 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