GRASP algorithm for charging coordination of plug-in electric vehicles in electrical distribution systems
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , , |
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 |