Simultaneous distributed generation and electric vehicles hosting capacity assessment in electric distribution systems

Detalhes bibliográficos
Autor(a) principal: Da Silva, Enielma Cunha [UNESP]
Data de Publicação: 2021
Outros Autores: Melgar-Dominguez, Ozy D. [UNESP], Romero, Ruben [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ACCESS.2021.3102684
http://hdl.handle.net/11449/229298
Resumo: This work presents a strategy, from the perspective of the distribution system operator (DSO), that aims at simultaneously estimating the maximum penetration levels of renewable-based distributed generation (DG) and electric vehicles (EVs) that can be accommodated into an electric distribution system (EDS). To estimate such capacity, operational resources such as generation curtailment and controllable features of EVs can be managed to ensure the safe operation of the EDS and avoid infeasible operational conditions. Through a multi-period representation, the proposed strategy models the variability in demand consumption and DG power production. In addition, driving patterns of EV owners and energy requirements of EVs, obtained through probability density functions, are incorporated in this representation. Inherently, the problem is represented as an optimization model, and to determine its solution, an algorithm based on the metaheuristics greedy randomized adaptive search and tabu search (GRASP-TS) is developed. The applicability of the planning strategy is assessed on a 33-bus EDS under different test conditions and the numerical results show that higher penetrations of EVs and renewable-based DG can be accommodated without impacting the safe operation of the EDS. The results also demonstrate that by controlling the power draw by EV aggregators, an increase of 9% can be obtained in the DG installed capacity compared to the case of uncontrolled charging of EVs. In addition, the scalability of the proposed approach is studied using two distribution systems, the 83-bus system and the 135-bus system, where the results show that the convergence of the algorithm is achieved in a few iterations.
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spelling Simultaneous distributed generation and electric vehicles hosting capacity assessment in electric distribution systemsdistributed generationElectric vehicle aggregatorGRASP-TShosting capacityThis work presents a strategy, from the perspective of the distribution system operator (DSO), that aims at simultaneously estimating the maximum penetration levels of renewable-based distributed generation (DG) and electric vehicles (EVs) that can be accommodated into an electric distribution system (EDS). To estimate such capacity, operational resources such as generation curtailment and controllable features of EVs can be managed to ensure the safe operation of the EDS and avoid infeasible operational conditions. Through a multi-period representation, the proposed strategy models the variability in demand consumption and DG power production. In addition, driving patterns of EV owners and energy requirements of EVs, obtained through probability density functions, are incorporated in this representation. Inherently, the problem is represented as an optimization model, and to determine its solution, an algorithm based on the metaheuristics greedy randomized adaptive search and tabu search (GRASP-TS) is developed. The applicability of the planning strategy is assessed on a 33-bus EDS under different test conditions and the numerical results show that higher penetrations of EVs and renewable-based DG can be accommodated without impacting the safe operation of the EDS. The results also demonstrate that by controlling the power draw by EV aggregators, an increase of 9% can be obtained in the DG installed capacity compared to the case of uncontrolled charging of EVs. In addition, the scalability of the proposed approach is studied using two distribution systems, the 83-bus system and the 135-bus system, where the results show that the convergence of the algorithm is achieved in a few iterations.Electrical Engineering Department São Paulo State University (UNESP), Ilha SolteiraElectrical Engineering Department São Paulo State University (UNESP), Ilha SolteiraUniversidade Estadual Paulista (UNESP)Da Silva, Enielma Cunha [UNESP]Melgar-Dominguez, Ozy D. [UNESP]Romero, Ruben [UNESP]2022-04-29T08:31:36Z2022-04-29T08:31:36Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article110927-110939http://dx.doi.org/10.1109/ACCESS.2021.3102684IEEE Access, v. 9, p. 110927-110939.2169-3536http://hdl.handle.net/11449/22929810.1109/ACCESS.2021.31026842-s2.0-85112213928Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Accessinfo:eu-repo/semantics/openAccess2024-07-04T19:06:04Zoai:repositorio.unesp.br:11449/229298Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:43:40.928276Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Simultaneous distributed generation and electric vehicles hosting capacity assessment in electric distribution systems
title Simultaneous distributed generation and electric vehicles hosting capacity assessment in electric distribution systems
spellingShingle Simultaneous distributed generation and electric vehicles hosting capacity assessment in electric distribution systems
Da Silva, Enielma Cunha [UNESP]
distributed generation
Electric vehicle aggregator
GRASP-TS
hosting capacity
title_short Simultaneous distributed generation and electric vehicles hosting capacity assessment in electric distribution systems
title_full Simultaneous distributed generation and electric vehicles hosting capacity assessment in electric distribution systems
title_fullStr Simultaneous distributed generation and electric vehicles hosting capacity assessment in electric distribution systems
title_full_unstemmed Simultaneous distributed generation and electric vehicles hosting capacity assessment in electric distribution systems
title_sort Simultaneous distributed generation and electric vehicles hosting capacity assessment in electric distribution systems
author Da Silva, Enielma Cunha [UNESP]
author_facet Da Silva, Enielma Cunha [UNESP]
Melgar-Dominguez, Ozy D. [UNESP]
Romero, Ruben [UNESP]
author_role author
author2 Melgar-Dominguez, Ozy D. [UNESP]
Romero, Ruben [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Da Silva, Enielma Cunha [UNESP]
Melgar-Dominguez, Ozy D. [UNESP]
Romero, Ruben [UNESP]
dc.subject.por.fl_str_mv distributed generation
Electric vehicle aggregator
GRASP-TS
hosting capacity
topic distributed generation
Electric vehicle aggregator
GRASP-TS
hosting capacity
description This work presents a strategy, from the perspective of the distribution system operator (DSO), that aims at simultaneously estimating the maximum penetration levels of renewable-based distributed generation (DG) and electric vehicles (EVs) that can be accommodated into an electric distribution system (EDS). To estimate such capacity, operational resources such as generation curtailment and controllable features of EVs can be managed to ensure the safe operation of the EDS and avoid infeasible operational conditions. Through a multi-period representation, the proposed strategy models the variability in demand consumption and DG power production. In addition, driving patterns of EV owners and energy requirements of EVs, obtained through probability density functions, are incorporated in this representation. Inherently, the problem is represented as an optimization model, and to determine its solution, an algorithm based on the metaheuristics greedy randomized adaptive search and tabu search (GRASP-TS) is developed. The applicability of the planning strategy is assessed on a 33-bus EDS under different test conditions and the numerical results show that higher penetrations of EVs and renewable-based DG can be accommodated without impacting the safe operation of the EDS. The results also demonstrate that by controlling the power draw by EV aggregators, an increase of 9% can be obtained in the DG installed capacity compared to the case of uncontrolled charging of EVs. In addition, the scalability of the proposed approach is studied using two distribution systems, the 83-bus system and the 135-bus system, where the results show that the convergence of the algorithm is achieved in a few iterations.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
2022-04-29T08:31:36Z
2022-04-29T08:31:36Z
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/10.1109/ACCESS.2021.3102684
IEEE Access, v. 9, p. 110927-110939.
2169-3536
http://hdl.handle.net/11449/229298
10.1109/ACCESS.2021.3102684
2-s2.0-85112213928
url http://dx.doi.org/10.1109/ACCESS.2021.3102684
http://hdl.handle.net/11449/229298
identifier_str_mv IEEE Access, v. 9, p. 110927-110939.
2169-3536
10.1109/ACCESS.2021.3102684
2-s2.0-85112213928
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IEEE Access
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 110927-110939
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
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