GRASP algorithm for charging coordination of plug-in electric vehicles in electrical distribution systems

Detalhes bibliográficos
Autor(a) principal: Arias, Nataly Bañol [UNESP]
Data de Publicação: 2017
Outros Autores: Romero, Rubén [UNESP], Franco, John F. [UNESP], De Oliveira, Marina Lavorato
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/TDC-LA.2016.7805624
http://hdl.handle.net/11449/178740
Resumo: A new methodology based on the GRASP (Greedy Random Adaptative Search Procedure) metaheuristic is proposed in this paper in order to solve the plug-in electric vehicle (PEV) charging coordination problem in electrical distribution systems (EDSs). The proposed method minimizes the total operational costs of the EDS by determining an optimal schedule for the electric vehicle battery charging. Additionally, priority conditions on the PEV charging are considered. The efficiency of the proposed methodology is verified using a 449-node system. The results shown that the achieved solution provides an economic operation of the EDS, while satisfying operational constraints.
id UNSP_47361f5dbb0f5dc4ba253f1107f26676
oai_identifier_str oai:repositorio.unesp.br:11449/178740
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling GRASP algorithm for charging coordination of plug-in electric vehicles in electrical distribution systemsElectric vehicles charging coordinationElectrical distribution systemsGRASPMetaheuristicA new methodology based on the GRASP (Greedy Random Adaptative Search Procedure) metaheuristic is proposed in this paper in order to solve the plug-in electric vehicle (PEV) charging coordination problem in electrical distribution systems (EDSs). The proposed method minimizes the total operational costs of the EDS by determining an optimal schedule for the electric vehicle battery charging. Additionally, priority conditions on the PEV charging are considered. The efficiency of the proposed methodology is verified using a 449-node system. The results shown that the achieved solution provides an economic operation of the EDS, while satisfying operational constraints.UNESP Dept. Electrical EngineeringUNICAMP - University of Campinas School of Applied SciencesUNESP Dept. Electrical EngineeringUniversidade Estadual Paulista (Unesp)Universidade Estadual de Campinas (UNICAMP)Arias, Nataly Bañol [UNESP]Romero, Rubén [UNESP]Franco, John F. [UNESP]De Oliveira, Marina Lavorato2018-12-11T17:31:53Z2018-12-11T17:31:53Z2017-01-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/TDC-LA.2016.78056242016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016.http://hdl.handle.net/11449/17874010.1109/TDC-LA.2016.78056242-s2.0-85016202035Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016info:eu-repo/semantics/openAccess2024-07-04T19:11:59Zoai:repositorio.unesp.br:11449/178740Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:40:11.818264Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv GRASP algorithm for charging coordination of plug-in electric vehicles in electrical distribution systems
title GRASP algorithm for charging coordination of plug-in electric vehicles in electrical distribution systems
spellingShingle GRASP algorithm for charging coordination of plug-in electric vehicles in electrical distribution systems
Arias, Nataly Bañol [UNESP]
Electric vehicles charging coordination
Electrical distribution systems
GRASP
Metaheuristic
title_short GRASP algorithm for charging coordination of plug-in electric vehicles in electrical distribution systems
title_full GRASP algorithm for charging coordination of plug-in electric vehicles in electrical distribution systems
title_fullStr GRASP algorithm for charging coordination of plug-in electric vehicles in electrical distribution systems
title_full_unstemmed GRASP algorithm for charging coordination of plug-in electric vehicles in electrical distribution systems
title_sort GRASP algorithm for charging coordination of plug-in electric vehicles in electrical distribution systems
author Arias, Nataly Bañol [UNESP]
author_facet Arias, Nataly Bañol [UNESP]
Romero, Rubén [UNESP]
Franco, John F. [UNESP]
De Oliveira, Marina Lavorato
author_role author
author2 Romero, Rubén [UNESP]
Franco, John F. [UNESP]
De Oliveira, Marina Lavorato
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Estadual de Campinas (UNICAMP)
dc.contributor.author.fl_str_mv Arias, Nataly Bañol [UNESP]
Romero, Rubén [UNESP]
Franco, John F. [UNESP]
De Oliveira, Marina Lavorato
dc.subject.por.fl_str_mv Electric vehicles charging coordination
Electrical distribution systems
GRASP
Metaheuristic
topic Electric vehicles charging coordination
Electrical distribution systems
GRASP
Metaheuristic
description A new methodology based on the GRASP (Greedy Random Adaptative Search Procedure) metaheuristic is proposed in this paper in order to solve the plug-in electric vehicle (PEV) charging coordination problem in electrical distribution systems (EDSs). The proposed method minimizes the total operational costs of the EDS by determining an optimal schedule for the electric vehicle battery charging. Additionally, priority conditions on the PEV charging are considered. The efficiency of the proposed methodology is verified using a 449-node system. The results shown that the achieved solution provides an economic operation of the EDS, while satisfying operational constraints.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-04
2018-12-11T17:31:53Z
2018-12-11T17:31:53Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/TDC-LA.2016.7805624
2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016.
http://hdl.handle.net/11449/178740
10.1109/TDC-LA.2016.7805624
2-s2.0-85016202035
url http://dx.doi.org/10.1109/TDC-LA.2016.7805624
http://hdl.handle.net/11449/178740
identifier_str_mv 2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016.
10.1109/TDC-LA.2016.7805624
2-s2.0-85016202035
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016
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_ 1808129541145624576