On-off scheduling schemes for power-constrained electric vehicle charging

Detalhes bibliográficos
Autor(a) principal: Fernandes, Xavier
Data de Publicação: 2016
Outros Autores: Rebelo, Joana, Gouveia, João, Maia, Rodrigo, Bustorff Silva, Nuno
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/44189
https://doi.org/10.1007/s10288-016-0328-9
Resumo: In this paper, we study the problem of establishing a dynamic charging schedule of electric vehicles (EVs) at a charging station, assuming that limited power implies that only a limited number of EVs can charge simultaneously. The only control we assume to be available to the charging station is the ability to (at any given time) turn on or off the power supply to any EV, with this tool we want to develop a charging schedule that will satisfy the energy demands of the EVs in their intended deadlines. We propose two distinct approaches to this problem: a discretized time version, based on a greedy-like algorithm, and a continuous time version, based on linear programming. We compare these two approaches and numerically study the improvement they yield in the efficiency of the charging procedure, when applied to simulated data based on real parking data. Finally, we illustrate the flexibility of the models by sketching several possible extensions.
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spelling On-off scheduling schemes for power-constrained electric vehicle chargingIn this paper, we study the problem of establishing a dynamic charging schedule of electric vehicles (EVs) at a charging station, assuming that limited power implies that only a limited number of EVs can charge simultaneously. The only control we assume to be available to the charging station is the ability to (at any given time) turn on or off the power supply to any EV, with this tool we want to develop a charging schedule that will satisfy the energy demands of the EVs in their intended deadlines. We propose two distinct approaches to this problem: a discretized time version, based on a greedy-like algorithm, and a continuous time version, based on linear programming. We compare these two approaches and numerically study the improvement they yield in the efficiency of the charging procedure, when applied to simulated data based on real parking data. Finally, we illustrate the flexibility of the models by sketching several possible extensions.Springer2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/44189http://hdl.handle.net/10316/44189https://doi.org/10.1007/s10288-016-0328-9https://doi.org/10.1007/s10288-016-0328-9enghttps://doi.org/10.1007/s10288-016-0328-9Fernandes, XavierRebelo, JoanaGouveia, JoãoMaia, RodrigoBustorff Silva, Nunoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2021-06-29T10:02:52Zoai:estudogeral.uc.pt:10316/44189Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:53:31.693546Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv On-off scheduling schemes for power-constrained electric vehicle charging
title On-off scheduling schemes for power-constrained electric vehicle charging
spellingShingle On-off scheduling schemes for power-constrained electric vehicle charging
Fernandes, Xavier
title_short On-off scheduling schemes for power-constrained electric vehicle charging
title_full On-off scheduling schemes for power-constrained electric vehicle charging
title_fullStr On-off scheduling schemes for power-constrained electric vehicle charging
title_full_unstemmed On-off scheduling schemes for power-constrained electric vehicle charging
title_sort On-off scheduling schemes for power-constrained electric vehicle charging
author Fernandes, Xavier
author_facet Fernandes, Xavier
Rebelo, Joana
Gouveia, João
Maia, Rodrigo
Bustorff Silva, Nuno
author_role author
author2 Rebelo, Joana
Gouveia, João
Maia, Rodrigo
Bustorff Silva, Nuno
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Fernandes, Xavier
Rebelo, Joana
Gouveia, João
Maia, Rodrigo
Bustorff Silva, Nuno
description In this paper, we study the problem of establishing a dynamic charging schedule of electric vehicles (EVs) at a charging station, assuming that limited power implies that only a limited number of EVs can charge simultaneously. The only control we assume to be available to the charging station is the ability to (at any given time) turn on or off the power supply to any EV, with this tool we want to develop a charging schedule that will satisfy the energy demands of the EVs in their intended deadlines. We propose two distinct approaches to this problem: a discretized time version, based on a greedy-like algorithm, and a continuous time version, based on linear programming. We compare these two approaches and numerically study the improvement they yield in the efficiency of the charging procedure, when applied to simulated data based on real parking data. Finally, we illustrate the flexibility of the models by sketching several possible extensions.
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/44189
http://hdl.handle.net/10316/44189
https://doi.org/10.1007/s10288-016-0328-9
https://doi.org/10.1007/s10288-016-0328-9
url http://hdl.handle.net/10316/44189
https://doi.org/10.1007/s10288-016-0328-9
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv https://doi.org/10.1007/s10288-016-0328-9
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dc.publisher.none.fl_str_mv Springer
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