A New Methodology for the Optimal Charging Coordination of Electric Vehicles Considering Vehicle-to-Grid Technology

In this work, a methodology based on a mixed integer linear programming formulation is proposed to solve the optimal charging coordination of electric vehicles (EVs) in unbalanced electrical distribution systems (EDS) considering vehicle-to-grid (V2G) technology. The steady-state operation of the ED...

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Detalles Bibliográficos
Autores: Sabillon A., Carlos F., Franco, John Fredy, Rider, Marcos J., Romero, Rubén
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universidad Loyola Andalucía
Repositorio:Brújula
OAI Identifier:oai:repositorio.uloyola.es:20.500.12412/4951
Acceso en línea:https://hdl.handle.net/20.500.12412/4951
Access Level:acceso abierto
Palabra clave:Vehicle-to-Grid
Mixed Integer Linear Programming
Electric Vehicles
Charging Coordination Problem
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spelling A New Methodology for the Optimal Charging Coordination of Electric Vehicles Considering Vehicle-to-Grid TechnologySabillon A., Carlos F.Franco, John FredyRider, Marcos J.Romero, RubénVehicle-to-GridMixed Integer Linear ProgrammingElectric VehiclesCharging Coordination ProblemIn this work, a methodology based on a mixed integer linear programming formulation is proposed to solve the optimal charging coordination of electric vehicles (EVs) in unbalanced electrical distribution systems (EDS) considering vehicle-to-grid (V2G) technology. The steady-state operation of the EDS is represented using the real and imaginary parts of voltages and currents at nodes and circuits respectively. Distributed generation (DG) and the imbalance of the system circuits and loads are taken into account. The developed method defines an optimal charging schedule for the EVs. This charging schedule considers the EVs’ arrival and departure times and their arrival state of charge, along with the energy contribution of EVs equipped with V2G technology. The presented formulation was tested in a 123-nodes distribution system. The charging schedule obtained was compared in terms of V2G and DG scenarios, demonstrating the efficiency of the proposed method.2016info:eu-repo/semantics/articlehttps://hdl.handle.net/20.500.12412/4951reponame:Brújulainstname:Universidad Loyola AndalucíaInglésThis work was supported by the Brazilian institutions CAPES and FAPESP.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositorio.uloyola.es:20.500.12412/49512026-06-24T12:48:37Z
dc.title.none.fl_str_mv A New Methodology for the Optimal Charging Coordination of Electric Vehicles Considering Vehicle-to-Grid Technology
title A New Methodology for the Optimal Charging Coordination of Electric Vehicles Considering Vehicle-to-Grid Technology
spellingShingle A New Methodology for the Optimal Charging Coordination of Electric Vehicles Considering Vehicle-to-Grid Technology
Sabillon A., Carlos F.
Vehicle-to-Grid
Mixed Integer Linear Programming
Electric Vehicles
Charging Coordination Problem
title_short A New Methodology for the Optimal Charging Coordination of Electric Vehicles Considering Vehicle-to-Grid Technology
title_full A New Methodology for the Optimal Charging Coordination of Electric Vehicles Considering Vehicle-to-Grid Technology
title_fullStr A New Methodology for the Optimal Charging Coordination of Electric Vehicles Considering Vehicle-to-Grid Technology
title_full_unstemmed A New Methodology for the Optimal Charging Coordination of Electric Vehicles Considering Vehicle-to-Grid Technology
title_sort A New Methodology for the Optimal Charging Coordination of Electric Vehicles Considering Vehicle-to-Grid Technology
dc.creator.none.fl_str_mv Sabillon A., Carlos F.
Franco, John Fredy
Rider, Marcos J.
Romero, Rubén
author Sabillon A., Carlos F.
author_facet Sabillon A., Carlos F.
Franco, John Fredy
Rider, Marcos J.
Romero, Rubén
author_role author
author2 Franco, John Fredy
Rider, Marcos J.
Romero, Rubén
author2_role author
author
author
dc.subject.none.fl_str_mv Vehicle-to-Grid
Mixed Integer Linear Programming
Electric Vehicles
Charging Coordination Problem
topic Vehicle-to-Grid
Mixed Integer Linear Programming
Electric Vehicles
Charging Coordination Problem
description In this work, a methodology based on a mixed integer linear programming formulation is proposed to solve the optimal charging coordination of electric vehicles (EVs) in unbalanced electrical distribution systems (EDS) considering vehicle-to-grid (V2G) technology. The steady-state operation of the EDS is represented using the real and imaginary parts of voltages and currents at nodes and circuits respectively. Distributed generation (DG) and the imbalance of the system circuits and loads are taken into account. The developed method defines an optimal charging schedule for the EVs. This charging schedule considers the EVs’ arrival and departure times and their arrival state of charge, along with the energy contribution of EVs equipped with V2G technology. The presented formulation was tested in a 123-nodes distribution system. The charging schedule obtained was compared in terms of V2G and DG scenarios, demonstrating the efficiency of the proposed method.
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.12412/4951
url https://hdl.handle.net/20.500.12412/4951
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv This work was supported by the Brazilian institutions CAPES and FAPESP.
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Brújula
instname:Universidad Loyola Andalucía
instname_str Universidad Loyola Andalucía
reponame_str Brújula
collection Brújula
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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