Quasi-real-time management of Electric Vehicles charging

Detalhes bibliográficos
Autor(a) principal: Filipe Joel Soares
Data de Publicação: 2014
Outros Autores: Rocha Almeida,PMR, João Peças Lopes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/3935
http://dx.doi.org/10.1016/j.epsr.2013.11.019
Resumo: This work presents a methodology to manage Electric Vehicles (EVs) charging in quasi-real-time, considering the participation of EV aggregators in electricity markets and the technical restrictions of the electricity grid components, controlled by the Distribution System Operator. Two methodologies are presented in this paper to manage EV charging, one to be used by the EV aggregators and the other by the Distribution System Operator (DSO). The methodology developed for the aggregator has as main objective the minimization of the deviation between the energy bought in the market and the energy consumed by EVs. The methodology developed for the DSO allows it to manage the grid and solve operational problems that may appear by controlling EVs charging. A method to generate a synthetic EV data set is used in this work, providing information about EV movement, including the periods when EVs are parked and their energy requirements. This data set is used afterwards to assess the performance of the algorithms developed to manage the EV charging in quasi-real-time.
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spelling Quasi-real-time management of Electric Vehicles chargingThis work presents a methodology to manage Electric Vehicles (EVs) charging in quasi-real-time, considering the participation of EV aggregators in electricity markets and the technical restrictions of the electricity grid components, controlled by the Distribution System Operator. Two methodologies are presented in this paper to manage EV charging, one to be used by the EV aggregators and the other by the Distribution System Operator (DSO). The methodology developed for the aggregator has as main objective the minimization of the deviation between the energy bought in the market and the energy consumed by EVs. The methodology developed for the DSO allows it to manage the grid and solve operational problems that may appear by controlling EVs charging. A method to generate a synthetic EV data set is used in this work, providing information about EV movement, including the periods when EVs are parked and their energy requirements. This data set is used afterwards to assess the performance of the algorithms developed to manage the EV charging in quasi-real-time.2017-12-12T17:20:57Z2014-01-01T00:00:00Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/3935http://dx.doi.org/10.1016/j.epsr.2013.11.019engFilipe Joel SoaresRocha Almeida,PMRJoão Peças Lopesinfo: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:RCAAP2023-05-15T10:20:07Zoai:repositorio.inesctec.pt:123456789/3935Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:52:42.533353Repositório 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 Quasi-real-time management of Electric Vehicles charging
title Quasi-real-time management of Electric Vehicles charging
spellingShingle Quasi-real-time management of Electric Vehicles charging
Filipe Joel Soares
title_short Quasi-real-time management of Electric Vehicles charging
title_full Quasi-real-time management of Electric Vehicles charging
title_fullStr Quasi-real-time management of Electric Vehicles charging
title_full_unstemmed Quasi-real-time management of Electric Vehicles charging
title_sort Quasi-real-time management of Electric Vehicles charging
author Filipe Joel Soares
author_facet Filipe Joel Soares
Rocha Almeida,PMR
João Peças Lopes
author_role author
author2 Rocha Almeida,PMR
João Peças Lopes
author2_role author
author
dc.contributor.author.fl_str_mv Filipe Joel Soares
Rocha Almeida,PMR
João Peças Lopes
description This work presents a methodology to manage Electric Vehicles (EVs) charging in quasi-real-time, considering the participation of EV aggregators in electricity markets and the technical restrictions of the electricity grid components, controlled by the Distribution System Operator. Two methodologies are presented in this paper to manage EV charging, one to be used by the EV aggregators and the other by the Distribution System Operator (DSO). The methodology developed for the aggregator has as main objective the minimization of the deviation between the energy bought in the market and the energy consumed by EVs. The methodology developed for the DSO allows it to manage the grid and solve operational problems that may appear by controlling EVs charging. A method to generate a synthetic EV data set is used in this work, providing information about EV movement, including the periods when EVs are parked and their energy requirements. This data set is used afterwards to assess the performance of the algorithms developed to manage the EV charging in quasi-real-time.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01T00:00:00Z
2014
2017-12-12T17:20:57Z
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://repositorio.inesctec.pt/handle/123456789/3935
http://dx.doi.org/10.1016/j.epsr.2013.11.019
url http://repositorio.inesctec.pt/handle/123456789/3935
http://dx.doi.org/10.1016/j.epsr.2013.11.019
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instacron:RCAAP
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