Comparison between inflexible and flexible charging of electric vehicles–from the perspective of an aggregator
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/28885 https://doi.org/10.3390/en13205443 |
Resumo: | This paper is about the problem of the management of an aggregator of electric vehicles participating in an electricity market environment. The problem consists in the maximization of the expected profit through a formulation given by a stochastic programming problem to consider the uncertainty faced by the aggregator. This uncertainty is due to the day-ahead market prices and the driving requirements of the owners of the vehicles. Driving requirements considered are from inflexibility to flexibility, depending on the consent of the owners. Thus, the aggregator can propose different profiles and charging periods to the owners of electric vehicles. Qualitatively, as expected, the more flexible is the vehicle owners, the high is the expected profit. But the formulation offers more to the aggregator, gives the ability to quantify the influence of consent of favorable driving requirements in the expected profit, allowing the aggregator to consider rewarding proposes to the owners of vehicles with more flexibility. Case studies addressed are for comparison of the influence of owners having inflexibility, partially flexibility, or flexibility in the expected profit of the aggregator. |
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Comparison between inflexible and flexible charging of electric vehicles–from the perspective of an aggregatorBattery degradationElectric vehicles aggregatorElectricity marketsStochastic programmingThis paper is about the problem of the management of an aggregator of electric vehicles participating in an electricity market environment. The problem consists in the maximization of the expected profit through a formulation given by a stochastic programming problem to consider the uncertainty faced by the aggregator. This uncertainty is due to the day-ahead market prices and the driving requirements of the owners of the vehicles. Driving requirements considered are from inflexibility to flexibility, depending on the consent of the owners. Thus, the aggregator can propose different profiles and charging periods to the owners of electric vehicles. Qualitatively, as expected, the more flexible is the vehicle owners, the high is the expected profit. But the formulation offers more to the aggregator, gives the ability to quantify the influence of consent of favorable driving requirements in the expected profit, allowing the aggregator to consider rewarding proposes to the owners of vehicles with more flexibility. Case studies addressed are for comparison of the influence of owners having inflexibility, partially flexibility, or flexibility in the expected profit of the aggregator.2021-01-27T11:07:02Z2021-01-272020-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/28885http://hdl.handle.net/10174/28885https://doi.org/10.3390/en13205443enghttps://www.mdpi.com/1996-1073/13/20/5443ndruimelicio@gmail.comnd482Gomes, IsaíasMelício, RuiMendes, Victorinfo: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:RCAAP2024-01-03T19:25:14Zoai:dspace.uevora.pt:10174/28885Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:18:33.849110Repositório 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 |
Comparison between inflexible and flexible charging of electric vehicles–from the perspective of an aggregator |
title |
Comparison between inflexible and flexible charging of electric vehicles–from the perspective of an aggregator |
spellingShingle |
Comparison between inflexible and flexible charging of electric vehicles–from the perspective of an aggregator Gomes, Isaías Battery degradation Electric vehicles aggregator Electricity markets Stochastic programming |
title_short |
Comparison between inflexible and flexible charging of electric vehicles–from the perspective of an aggregator |
title_full |
Comparison between inflexible and flexible charging of electric vehicles–from the perspective of an aggregator |
title_fullStr |
Comparison between inflexible and flexible charging of electric vehicles–from the perspective of an aggregator |
title_full_unstemmed |
Comparison between inflexible and flexible charging of electric vehicles–from the perspective of an aggregator |
title_sort |
Comparison between inflexible and flexible charging of electric vehicles–from the perspective of an aggregator |
author |
Gomes, Isaías |
author_facet |
Gomes, Isaías Melício, Rui Mendes, Victor |
author_role |
author |
author2 |
Melício, Rui Mendes, Victor |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Gomes, Isaías Melício, Rui Mendes, Victor |
dc.subject.por.fl_str_mv |
Battery degradation Electric vehicles aggregator Electricity markets Stochastic programming |
topic |
Battery degradation Electric vehicles aggregator Electricity markets Stochastic programming |
description |
This paper is about the problem of the management of an aggregator of electric vehicles participating in an electricity market environment. The problem consists in the maximization of the expected profit through a formulation given by a stochastic programming problem to consider the uncertainty faced by the aggregator. This uncertainty is due to the day-ahead market prices and the driving requirements of the owners of the vehicles. Driving requirements considered are from inflexibility to flexibility, depending on the consent of the owners. Thus, the aggregator can propose different profiles and charging periods to the owners of electric vehicles. Qualitatively, as expected, the more flexible is the vehicle owners, the high is the expected profit. But the formulation offers more to the aggregator, gives the ability to quantify the influence of consent of favorable driving requirements in the expected profit, allowing the aggregator to consider rewarding proposes to the owners of vehicles with more flexibility. Case studies addressed are for comparison of the influence of owners having inflexibility, partially flexibility, or flexibility in the expected profit of the aggregator. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-10-01T00:00:00Z 2021-01-27T11:07:02Z 2021-01-27 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/28885 http://hdl.handle.net/10174/28885 https://doi.org/10.3390/en13205443 |
url |
http://hdl.handle.net/10174/28885 https://doi.org/10.3390/en13205443 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.mdpi.com/1996-1073/13/20/5443 nd ruimelicio@gmail.com nd 482 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799136667560312832 |