Optimal Charging Coordination of Electric Vehicles in Unbalanced Electrical Distribution System Considering Vehicle-to-Grid Technology

Detalhes bibliográficos
Autor(a) principal: Sabillon A, Carlos F. [UNESP]
Data de Publicação: 2015
Outros Autores: Franco, John F. [UNESP], Rider, Marcos J. [UNESP], Romero, Ruben [UNESP], IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/161709
Resumo: A mixed integer linear programming (MILP) formulation is proposed in this paper to solve the problem of optimal charging coordination of electric vehicle (EVs) in unbalanced electrical distribution system (EDS) considering vehicle-to-grid (V2G) technology. The imbalance of the system circuits and loads has been taken into account. The developed method defines an optimal charging schedule for the EVs which considers the EVs arrival and departure times and their arrival state of charge; the energy contribution of EVs equipped with vehicle-to-grid technology and distributed generators are considered as well. The classical optimization techniques used to solve the MILP formulation guarantee the optimal solution of the problem. The model was written in the mathematical modeling language AMPL and solved using the commercial solver CPLEX. The presented formulation was tested in a 34-node distribution system and a comparison of the obtained charging schedule on scenarios with V2G and distributed generation was made.
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spelling Optimal Charging Coordination of Electric Vehicles in Unbalanced Electrical Distribution System Considering Vehicle-to-Grid TechnologyCharging Coordination ProblemElectric VehiclesMixed Integer Linear ProgrammingVehicle-to-GridA mixed integer linear programming (MILP) formulation is proposed in this paper to solve the problem of optimal charging coordination of electric vehicle (EVs) in unbalanced electrical distribution system (EDS) considering vehicle-to-grid (V2G) technology. The imbalance of the system circuits and loads has been taken into account. The developed method defines an optimal charging schedule for the EVs which considers the EVs arrival and departure times and their arrival state of charge; the energy contribution of EVs equipped with vehicle-to-grid technology and distributed generators are considered as well. The classical optimization techniques used to solve the MILP formulation guarantee the optimal solution of the problem. The model was written in the mathematical modeling language AMPL and solved using the commercial solver CPLEX. The presented formulation was tested in a 34-node distribution system and a comparison of the obtained charging schedule on scenarios with V2G and distributed generation was made.UNESP, Dept Elect Engn, Ilha Solteira, BrazilUNESP, Dept Elect Engn, Ilha Solteira, BrazilIeeeUniversidade Estadual Paulista (Unesp)Sabillon A, Carlos F. [UNESP]Franco, John F. [UNESP]Rider, Marcos J. [UNESP]Romero, Ruben [UNESP]IEEE2018-11-26T16:48:19Z2018-11-26T16:48:19Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject52015 3rd International Istanbul Smart Grid Congress And Fair (icsg). New York: Ieee, 5 p., 2015.http://hdl.handle.net/11449/161709WOS:000379385200011Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2015 3rd International Istanbul Smart Grid Congress And Fair (icsg)info:eu-repo/semantics/openAccess2024-07-04T19:11:50Zoai:repositorio.unesp.br:11449/161709Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:06:03.143220Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Optimal Charging Coordination of Electric Vehicles in Unbalanced Electrical Distribution System Considering Vehicle-to-Grid Technology
title Optimal Charging Coordination of Electric Vehicles in Unbalanced Electrical Distribution System Considering Vehicle-to-Grid Technology
spellingShingle Optimal Charging Coordination of Electric Vehicles in Unbalanced Electrical Distribution System Considering Vehicle-to-Grid Technology
Sabillon A, Carlos F. [UNESP]
Charging Coordination Problem
Electric Vehicles
Mixed Integer Linear Programming
Vehicle-to-Grid
title_short Optimal Charging Coordination of Electric Vehicles in Unbalanced Electrical Distribution System Considering Vehicle-to-Grid Technology
title_full Optimal Charging Coordination of Electric Vehicles in Unbalanced Electrical Distribution System Considering Vehicle-to-Grid Technology
title_fullStr Optimal Charging Coordination of Electric Vehicles in Unbalanced Electrical Distribution System Considering Vehicle-to-Grid Technology
title_full_unstemmed Optimal Charging Coordination of Electric Vehicles in Unbalanced Electrical Distribution System Considering Vehicle-to-Grid Technology
title_sort Optimal Charging Coordination of Electric Vehicles in Unbalanced Electrical Distribution System Considering Vehicle-to-Grid Technology
author Sabillon A, Carlos F. [UNESP]
author_facet Sabillon A, Carlos F. [UNESP]
Franco, John F. [UNESP]
Rider, Marcos J. [UNESP]
Romero, Ruben [UNESP]
IEEE
author_role author
author2 Franco, John F. [UNESP]
Rider, Marcos J. [UNESP]
Romero, Ruben [UNESP]
IEEE
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Sabillon A, Carlos F. [UNESP]
Franco, John F. [UNESP]
Rider, Marcos J. [UNESP]
Romero, Ruben [UNESP]
IEEE
dc.subject.por.fl_str_mv Charging Coordination Problem
Electric Vehicles
Mixed Integer Linear Programming
Vehicle-to-Grid
topic Charging Coordination Problem
Electric Vehicles
Mixed Integer Linear Programming
Vehicle-to-Grid
description A mixed integer linear programming (MILP) formulation is proposed in this paper to solve the problem of optimal charging coordination of electric vehicle (EVs) in unbalanced electrical distribution system (EDS) considering vehicle-to-grid (V2G) technology. The imbalance of the system circuits and loads has been taken into account. The developed method defines an optimal charging schedule for the EVs which considers the EVs arrival and departure times and their arrival state of charge; the energy contribution of EVs equipped with vehicle-to-grid technology and distributed generators are considered as well. The classical optimization techniques used to solve the MILP formulation guarantee the optimal solution of the problem. The model was written in the mathematical modeling language AMPL and solved using the commercial solver CPLEX. The presented formulation was tested in a 34-node distribution system and a comparison of the obtained charging schedule on scenarios with V2G and distributed generation was made.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
2018-11-26T16:48:19Z
2018-11-26T16:48:19Z
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 2015 3rd International Istanbul Smart Grid Congress And Fair (icsg). New York: Ieee, 5 p., 2015.
http://hdl.handle.net/11449/161709
WOS:000379385200011
identifier_str_mv 2015 3rd International Istanbul Smart Grid Congress And Fair (icsg). New York: Ieee, 5 p., 2015.
WOS:000379385200011
url http://hdl.handle.net/11449/161709
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2015 3rd International Istanbul Smart Grid Congress And Fair (icsg)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 5
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
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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