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://hdl.handle.net/11449/161057 |
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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Repositório Institucional da UNESP |
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A MILP Model for Optimal Charging Coordination of Storage Devices and Electric Vehicles Considering V2G TechnologyElectrical distribution systemelectric vehiclesmixed 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.UNESP, Dept Elect Engn, Ilha Solteira, BrazilUNESP, Dept Elect Engn, Ilha Solteira, BrazilIeeeUniversidade Estadual Paulista (Unesp)Sabillon, Carlos F. A. [UNESP]Franco, John F. [UNESP]Rider, Marcos J. [UNESP]Romero, Ruben [UNESP]IEEE2018-11-26T16:18:58Z2018-11-26T16:18:58Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject60-652015 Ieee 15th International Conference On Environment And Electrical Engineering (ieee Eeeic 2015). New York: Ieee, p. 60-65, 2015.http://hdl.handle.net/11449/161057WOS:000366654400011Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2015 Ieee 15th International Conference On Environment And Electrical Engineering (ieee Eeeic 2015)info:eu-repo/semantics/openAccess2024-07-04T19:11:33Zoai:repositorio.unesp.br:11449/161057Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:04:20.115266Repositório 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 Sabillon, Carlos F. A. [UNESP] Electrical distribution system electric vehicles 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 |
Sabillon, Carlos F. A. [UNESP] |
author_facet |
Sabillon, Carlos F. A. [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, Carlos F. A. [UNESP] Franco, John F. [UNESP] Rider, Marcos J. [UNESP] Romero, Ruben [UNESP] IEEE |
dc.subject.por.fl_str_mv |
Electrical distribution system electric vehicles mixed integer linear programming optimal charging storage devices |
topic |
Electrical distribution system electric vehicles 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 2018-11-26T16:18:58Z 2018-11-26T16:18:58Z |
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 Ieee 15th International Conference On Environment And Electrical Engineering (ieee Eeeic 2015). New York: Ieee, p. 60-65, 2015. http://hdl.handle.net/11449/161057 WOS:000366654400011 |
identifier_str_mv |
2015 Ieee 15th International Conference On Environment And Electrical Engineering (ieee Eeeic 2015). New York: Ieee, p. 60-65, 2015. WOS:000366654400011 |
url |
http://hdl.handle.net/11449/161057 |
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 (ieee Eeeic 2015) |
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.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 |
|
_version_ |
1808128750297022464 |