Development of an Algorithm to Control and Optimize the Charging Process of Group of Electric Vehicles

Detalhes bibliográficos
Autor(a) principal: Torabikalaki, Roham
Data de Publicação: 2014
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/39030
Resumo: Dissertação de Mestrado em Energia para a Sustentabilidade apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra
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spelling Development of an Algorithm to Control and Optimize the Charging Process of Group of Electric Vehicleselectric vehiclescoordinated chargingdecentralized controloptimizationevolutionary algorithmDissertação de Mestrado em Energia para a Sustentabilidade apresentada à Faculdade de Ciências e Tecnologia da Universidade de CoimbraThe increasing penetration of electric vehicles (EV) usage will require a control system to manage their recharging process. This work proposes the development of a locally decentralized EVs’ charging algorithm, which controls and optimizes the charging process of a group of EVs, based on a binary sequence. In this work the proposed method and the development of the charging algorithm are respectively explained. Then, by simulating various scenarios the performance of the algorithm is assessed. The algorithm controls the charging process in a coordinated way and it was designed to be implemented in a local distribution grid, allowing to accommodate all the EVs without needing to reinforce the grid infrastructure capacity. It considers users’ preferences, such as their desire state of charge, while takes their electricity tariffs into account. The optimization objective was set for the consumers, to minimize the deviation of the actual charging cost from the minimum charging cost. The integration of different EVs’ charging patterns and various types of electricity tariffs, leads to a realistic approach. It was concluded that, through the proposed method, charging a greater number of EVs is feasible without needing to invest in increasing the capacity of the grid infrastructure, while the charging cost for each and every user is kept close to the minimum one2014-09-23info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10316/39030http://hdl.handle.net/10316/39030TID:201665506engTorabikalaki, Rohaminfo: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:RCAAP2022-02-14T11:06:10Zoai:estudogeral.uc.pt:10316/39030Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:59:10.825065Repositório 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 Development of an Algorithm to Control and Optimize the Charging Process of Group of Electric Vehicles
title Development of an Algorithm to Control and Optimize the Charging Process of Group of Electric Vehicles
spellingShingle Development of an Algorithm to Control and Optimize the Charging Process of Group of Electric Vehicles
Torabikalaki, Roham
electric vehicles
coordinated charging
decentralized control
optimization
evolutionary algorithm
title_short Development of an Algorithm to Control and Optimize the Charging Process of Group of Electric Vehicles
title_full Development of an Algorithm to Control and Optimize the Charging Process of Group of Electric Vehicles
title_fullStr Development of an Algorithm to Control and Optimize the Charging Process of Group of Electric Vehicles
title_full_unstemmed Development of an Algorithm to Control and Optimize the Charging Process of Group of Electric Vehicles
title_sort Development of an Algorithm to Control and Optimize the Charging Process of Group of Electric Vehicles
author Torabikalaki, Roham
author_facet Torabikalaki, Roham
author_role author
dc.contributor.author.fl_str_mv Torabikalaki, Roham
dc.subject.por.fl_str_mv electric vehicles
coordinated charging
decentralized control
optimization
evolutionary algorithm
topic electric vehicles
coordinated charging
decentralized control
optimization
evolutionary algorithm
description Dissertação de Mestrado em Energia para a Sustentabilidade apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra
publishDate 2014
dc.date.none.fl_str_mv 2014-09-23
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/39030
http://hdl.handle.net/10316/39030
TID:201665506
url http://hdl.handle.net/10316/39030
identifier_str_mv TID:201665506
dc.language.iso.fl_str_mv eng
language eng
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
_version_ 1799133883069890560

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