Electric Vehicles Charging: Management and Control Strategies

Detalhes bibliográficos
Autor(a) principal: Bruna Costa Tavares
Data de Publicação: 2018
Outros Autores: João Peças Lopes, Coelho,AM, Filipe Joel Soares, David Emanuel Rua, Clara Sofia Gouveia
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/123456789/9658
http://dx.doi.org/10.1109/mvt.2017.2781538
Resumo: In this article, we present a holistic framework for the integration of electric vehicles (EVs) in electric power systems. Their charging management and control methodologies must be optimized to minimize the negative impact of the charging process on the grid and maximize the benefits that charging controllability may bring to their owners, energy retailers, and system operators. We have assessed the performance of these methods initially through steady-state computational simulations, and then we validated them in a microgrid (MG) laboratory environment. © 2018 IEEE.
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spelling Electric Vehicles Charging: Management and Control StrategiesIn this article, we present a holistic framework for the integration of electric vehicles (EVs) in electric power systems. Their charging management and control methodologies must be optimized to minimize the negative impact of the charging process on the grid and maximize the benefits that charging controllability may bring to their owners, energy retailers, and system operators. We have assessed the performance of these methods initially through steady-state computational simulations, and then we validated them in a microgrid (MG) laboratory environment. © 2018 IEEE.2019-06-04T11:13:12Z2018-01-01T00:00:00Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/9658http://dx.doi.org/10.1109/mvt.2017.2781538engBruna Costa TavaresJoão Peças LopesCoelho,AMFilipe Joel SoaresDavid Emanuel RuaClara Sofia Gouveiainfo: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:RCAAP2023-05-15T10:20:28Zoai:repositorio.inesctec.pt:123456789/9658Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:53:09.863106Repositório 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 Electric Vehicles Charging: Management and Control Strategies
title Electric Vehicles Charging: Management and Control Strategies
spellingShingle Electric Vehicles Charging: Management and Control Strategies
Bruna Costa Tavares
title_short Electric Vehicles Charging: Management and Control Strategies
title_full Electric Vehicles Charging: Management and Control Strategies
title_fullStr Electric Vehicles Charging: Management and Control Strategies
title_full_unstemmed Electric Vehicles Charging: Management and Control Strategies
title_sort Electric Vehicles Charging: Management and Control Strategies
author Bruna Costa Tavares
author_facet Bruna Costa Tavares
João Peças Lopes
Coelho,AM
Filipe Joel Soares
David Emanuel Rua
Clara Sofia Gouveia
author_role author
author2 João Peças Lopes
Coelho,AM
Filipe Joel Soares
David Emanuel Rua
Clara Sofia Gouveia
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Bruna Costa Tavares
João Peças Lopes
Coelho,AM
Filipe Joel Soares
David Emanuel Rua
Clara Sofia Gouveia
description In this article, we present a holistic framework for the integration of electric vehicles (EVs) in electric power systems. Their charging management and control methodologies must be optimized to minimize the negative impact of the charging process on the grid and maximize the benefits that charging controllability may bring to their owners, energy retailers, and system operators. We have assessed the performance of these methods initially through steady-state computational simulations, and then we validated them in a microgrid (MG) laboratory environment. © 2018 IEEE.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01T00:00:00Z
2018
2019-06-04T11:13:12Z
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dc.identifier.uri.fl_str_mv http://repositorio.inesctec.pt/handle/123456789/9658
http://dx.doi.org/10.1109/mvt.2017.2781538
url http://repositorio.inesctec.pt/handle/123456789/9658
http://dx.doi.org/10.1109/mvt.2017.2781538
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