An MILP model for the plug-in electric vehicle charging coordination problem in electrical distribution systems
Autor(a) principal: | |
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Data de Publicação: | 2014 |
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/PESGM.2014.6939006 http://hdl.handle.net/11449/171885 |
Resumo: | A new mixed-integer linear programming (MILP) model is proposed to represent the plug-in electric vehicles (PEVs) charging coordination problem in electrical distribution systems. The proposed model defines the optimal charging schedule for each division of the considered period of time that minimizes the total energy costs. Moreover, priority charging criteria is taken into account. The steady-state operation of the electrical distribution system, as well as the PEV batteries charging is mathematically represented; furthermore, constraints related to limits of voltage, current and power generation are included. The proposed mathematical model was applied in an electrical distribution system used in the specialized literature and the results show that the model can be used in the solution of the PEVs charging problem. |
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Repositório Institucional da UNESP |
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2946 |
spelling |
An MILP model for the plug-in electric vehicle charging coordination problem in electrical distribution systemsElectrical distribution systemmixed integer linear programmingoptimal chargingplug-in electric vehiclesA new mixed-integer linear programming (MILP) model is proposed to represent the plug-in electric vehicles (PEVs) charging coordination problem in electrical distribution systems. The proposed model defines the optimal charging schedule for each division of the considered period of time that minimizes the total energy costs. Moreover, priority charging criteria is taken into account. The steady-state operation of the electrical distribution system, as well as the PEV batteries charging is mathematically represented; furthermore, constraints related to limits of voltage, current and power generation are included. The proposed mathematical model was applied in an electrical distribution system used in the specialized literature and the results show that the model can be used in the solution of the PEVs charging problem.Faculdade de Engenharia de Ilha Solteira, UNESP - Universidade Estadual Paulista, Departamento de Engenharia ElétricaFaculdade de Engenharia de Ilha Solteira, UNESP - Universidade Estadual Paulista, Departamento de Engenharia ElétricaUniversidade Estadual Paulista (Unesp)Franco, John F. [UNESP]Rider, Marcos J. [UNESP]Romero, Ruben [UNESP]2018-12-11T16:57:35Z2018-12-11T16:57:35Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PESGM.2014.6939006IEEE Power and Energy Society General Meeting, v. 2014-October, n. October, 2014.1944-99331944-9925http://hdl.handle.net/11449/17188510.1109/PESGM.2014.69390062-s2.0-84930995187Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Power and Energy Society General Meeting0,328info:eu-repo/semantics/openAccess2024-07-04T19:11:49Zoai:repositorio.unesp.br:11449/171885Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:21:08.362746Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
An MILP model for the plug-in electric vehicle charging coordination problem in electrical distribution systems |
title |
An MILP model for the plug-in electric vehicle charging coordination problem in electrical distribution systems |
spellingShingle |
An MILP model for the plug-in electric vehicle charging coordination problem in electrical distribution systems Franco, John F. [UNESP] Electrical distribution system mixed integer linear programming optimal charging plug-in electric vehicles |
title_short |
An MILP model for the plug-in electric vehicle charging coordination problem in electrical distribution systems |
title_full |
An MILP model for the plug-in electric vehicle charging coordination problem in electrical distribution systems |
title_fullStr |
An MILP model for the plug-in electric vehicle charging coordination problem in electrical distribution systems |
title_full_unstemmed |
An MILP model for the plug-in electric vehicle charging coordination problem in electrical distribution systems |
title_sort |
An MILP model for the plug-in electric vehicle charging coordination problem in electrical distribution systems |
author |
Franco, John F. [UNESP] |
author_facet |
Franco, John F. [UNESP] Rider, Marcos J. [UNESP] Romero, Ruben [UNESP] |
author_role |
author |
author2 |
Rider, Marcos J. [UNESP] Romero, Ruben [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Franco, John F. [UNESP] Rider, Marcos J. [UNESP] Romero, Ruben [UNESP] |
dc.subject.por.fl_str_mv |
Electrical distribution system mixed integer linear programming optimal charging plug-in electric vehicles |
topic |
Electrical distribution system mixed integer linear programming optimal charging plug-in electric vehicles |
description |
A new mixed-integer linear programming (MILP) model is proposed to represent the plug-in electric vehicles (PEVs) charging coordination problem in electrical distribution systems. The proposed model defines the optimal charging schedule for each division of the considered period of time that minimizes the total energy costs. Moreover, priority charging criteria is taken into account. The steady-state operation of the electrical distribution system, as well as the PEV batteries charging is mathematically represented; furthermore, constraints related to limits of voltage, current and power generation are included. The proposed mathematical model was applied in an electrical distribution system used in the specialized literature and the results show that the model can be used in the solution of the PEVs charging problem. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-01-01 2018-12-11T16:57:35Z 2018-12-11T16:57:35Z |
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/PESGM.2014.6939006 IEEE Power and Energy Society General Meeting, v. 2014-October, n. October, 2014. 1944-9933 1944-9925 http://hdl.handle.net/11449/171885 10.1109/PESGM.2014.6939006 2-s2.0-84930995187 |
url |
http://dx.doi.org/10.1109/PESGM.2014.6939006 http://hdl.handle.net/11449/171885 |
identifier_str_mv |
IEEE Power and Energy Society General Meeting, v. 2014-October, n. October, 2014. 1944-9933 1944-9925 10.1109/PESGM.2014.6939006 2-s2.0-84930995187 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Power and Energy Society General Meeting 0,328 |
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_ |
1808129312097828864 |