A MILP model for optimal charging coordination of storage devices and electric vehicles considering V2G technology
Autor(a) principal: | |
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Data de Publicação: | 2015 |
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/EEEIC.2015.7165336 http://hdl.handle.net/11449/177516 |
Resumo: | In this work, a MILP formulation is proposed to solve the optimal charging coordination of electrical vehicles (EVs) and storage devices (SDs) in electrical distribution systems (EDS). EVs with vehicle-to-grid (V2G) technology are also considered. The method defines an optimal charging schedule for SDs and EVs along a day-long time period. The formulation considers the EVs arrival and departure times and their initial state of charge. The initial energy, the expected energy at the end of the time period and the allowed deep of discharge are also considered for the SDs. Additionally, the energy contribution of EVs equipped with V2G technology and distributed generation is taken into account. The presented formulation was tested in a 34-node EDS. The results show the efficiency and robustness of the methodology, and also demonstrate that the model can be used in the real-time solution of the EVs and SDs charging coordination problem in EDS. |
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A MILP model for optimal charging coordination of storage devices and electric vehicles considering V2G technologyelectric vehiclesElectrical distribution systemmixed integer linear programmingoptimal chargingstorage devicesIn this work, a MILP formulation is proposed to solve the optimal charging coordination of electrical vehicles (EVs) and storage devices (SDs) in electrical distribution systems (EDS). EVs with vehicle-to-grid (V2G) technology are also considered. The method defines an optimal charging schedule for SDs and EVs along a day-long time period. The formulation considers the EVs arrival and departure times and their initial state of charge. The initial energy, the expected energy at the end of the time period and the allowed deep of discharge are also considered for the SDs. Additionally, the energy contribution of EVs equipped with V2G technology and distributed generation is taken into account. The presented formulation was tested in a 34-node EDS. The results show the efficiency and robustness of the methodology, and also demonstrate that the model can be used in the real-time solution of the EVs and SDs charging coordination problem in EDS.Dept. Electrical Engineering, UNESPDept. Electrical Engineering, UNESPUniversidade Estadual Paulista (Unesp)Carlos F., Sabillon A. [UNESP]Franco, John F. [UNESP]Rider, Marcos J. [UNESP]Romero, Ruben [UNESP]2018-12-11T17:25:49Z2018-12-11T17:25:49Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject60-65http://dx.doi.org/10.1109/EEEIC.2015.71653362015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings, p. 60-65.http://hdl.handle.net/11449/17751610.1109/EEEIC.2015.71653362-s2.0-84943138479Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedingsinfo:eu-repo/semantics/openAccess2024-07-04T19:11:27Zoai:repositorio.unesp.br:11449/177516Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:59:08.394505Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A MILP model for optimal charging coordination of storage devices and electric vehicles considering V2G technology |
title |
A MILP model for optimal charging coordination of storage devices and electric vehicles considering V2G technology |
spellingShingle |
A MILP model for optimal charging coordination of storage devices and electric vehicles considering V2G technology Carlos F., Sabillon A. [UNESP] electric vehicles Electrical distribution system mixed integer linear programming optimal charging storage devices |
title_short |
A MILP model for optimal charging coordination of storage devices and electric vehicles considering V2G technology |
title_full |
A MILP model for optimal charging coordination of storage devices and electric vehicles considering V2G technology |
title_fullStr |
A MILP model for optimal charging coordination of storage devices and electric vehicles considering V2G technology |
title_full_unstemmed |
A MILP model for optimal charging coordination of storage devices and electric vehicles considering V2G technology |
title_sort |
A MILP model for optimal charging coordination of storage devices and electric vehicles considering V2G technology |
author |
Carlos F., Sabillon A. [UNESP] |
author_facet |
Carlos F., Sabillon A. [UNESP] Franco, John F. [UNESP] Rider, Marcos J. [UNESP] Romero, Ruben [UNESP] |
author_role |
author |
author2 |
Franco, John F. [UNESP] Rider, Marcos J. [UNESP] Romero, Ruben [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Carlos F., Sabillon A. [UNESP] Franco, John F. [UNESP] Rider, Marcos J. [UNESP] Romero, Ruben [UNESP] |
dc.subject.por.fl_str_mv |
electric vehicles Electrical distribution system mixed integer linear programming optimal charging storage devices |
topic |
electric vehicles Electrical distribution system mixed integer linear programming optimal charging storage devices |
description |
In this work, a MILP formulation is proposed to solve the optimal charging coordination of electrical vehicles (EVs) and storage devices (SDs) in electrical distribution systems (EDS). EVs with vehicle-to-grid (V2G) technology are also considered. The method defines an optimal charging schedule for SDs and EVs along a day-long time period. The formulation considers the EVs arrival and departure times and their initial state of charge. The initial energy, the expected energy at the end of the time period and the allowed deep of discharge are also considered for the SDs. Additionally, the energy contribution of EVs equipped with V2G technology and distributed generation is taken into account. The presented formulation was tested in a 34-node EDS. The results show the efficiency and robustness of the methodology, and also demonstrate that the model can be used in the real-time solution of the EVs and SDs charging coordination problem in EDS. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01 2018-12-11T17:25:49Z 2018-12-11T17:25:49Z |
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/EEEIC.2015.7165336 2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings, p. 60-65. http://hdl.handle.net/11449/177516 10.1109/EEEIC.2015.7165336 2-s2.0-84943138479 |
url |
http://dx.doi.org/10.1109/EEEIC.2015.7165336 http://hdl.handle.net/11449/177516 |
identifier_str_mv |
2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings, p. 60-65. 10.1109/EEEIC.2015.7165336 2-s2.0-84943138479 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
60-65 |
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_ |
1808128590158495744 |