Battery energy storage system optimal sizing in a battery electric vehicle fast charging infrastructure
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/17050 |
Resumo: | The growing number of battery electric vehicles and plug-in hybrid electric vehicles brings the need of more fast charging stations across cities and highway stops. This charging stations toned to be connected to the electrical grid via existent facilities, causing constraints such as power availability. This work brings an approach for the planning and operation of such energy hubs by coping with this challenge by deploying a Battery-based Energy Storage System (BESS). With the BESS integration, it is expected to minimize utilization and overall energy costs, preventing infrastructure upgrades, and enhancing the integration of renewable energy resources. This approach sizes a stationary energy storage system with lithium-ion technology batteries through a co-optimization of the planning and operation stages, integrated into an electrical installation that will implement fast charging stations. This sizing is a result of an optimization based on the interior point algorithm, where the objective is to minimize the costs of maintenance, operation, and installation of a BESS, while properly modelling the different resources such as the BESS, the charging station and Electric Vehicles (EV) charging and Photovoltaic generation (PV). In order to have an estimate of necessary power and energy consumption, a simulated frequency of parking of BEVs at the charging stations, based on probabilities, was modelled taking into account the distance that a battery electric vehicle will do in a certain period of time and the probability of being a car with a particular set of characteristics. |
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Battery energy storage system optimal sizing in a battery electric vehicle fast charging infrastructureBattery Energy Storage SystemFast Charging StationsBattery Electric VehicleSistema de Armazenamento de Energia em BateriasInfraestruturas de carregamento rápidoVeículo ElétricoThe growing number of battery electric vehicles and plug-in hybrid electric vehicles brings the need of more fast charging stations across cities and highway stops. This charging stations toned to be connected to the electrical grid via existent facilities, causing constraints such as power availability. This work brings an approach for the planning and operation of such energy hubs by coping with this challenge by deploying a Battery-based Energy Storage System (BESS). With the BESS integration, it is expected to minimize utilization and overall energy costs, preventing infrastructure upgrades, and enhancing the integration of renewable energy resources. This approach sizes a stationary energy storage system with lithium-ion technology batteries through a co-optimization of the planning and operation stages, integrated into an electrical installation that will implement fast charging stations. This sizing is a result of an optimization based on the interior point algorithm, where the objective is to minimize the costs of maintenance, operation, and installation of a BESS, while properly modelling the different resources such as the BESS, the charging station and Electric Vehicles (EV) charging and Photovoltaic generation (PV). In order to have an estimate of necessary power and energy consumption, a simulated frequency of parking of BEVs at the charging stations, based on probabilities, was modelled taking into account the distance that a battery electric vehicle will do in a certain period of time and the probability of being a car with a particular set of characteristics.O número de crescente de veículos elétricos (VE) e híbridos plug-in dá azo à necessidade de mais infraestruturas de carregamento, deste tipo de veículos, nas cidades e nas paragens nas autoestradas. Estas infraestruturas têm de estar ligadas à rede elétrica de distribuição, causando restrições como disponibilidade de potência. Este trabalho centra-se numa abordagem para o planeamento e operação destas hubs energéticas ao implementar Sistemas de Armazenamento de Energia em Baterias (SAEB). Com a integração de SAEB é expectável a minimização dos custos globais de energia e evitar atualizações na infraestrutura, e potencializar a integração de Recursos de Energia Renovável (RER). O âmbito deste trabalho é dimensionar um sistema de armazenamento de energia estacionário com baterias de ião-lítio através de uma co otimização do planeamento e operação, integrado numa instalação elétrica na qual estão implementados carregadores rápidos de veículos elétricos. O dimensionamento resulta de uma otimização baseado no algoritmo do ponto interior, onde o objetivo é minimizar os custos de manutenção, operação e instalação dos SAEB, enquanto são modelizados recursos como o SAEB, a infraestrutura de carregamento e o carregamento dos VE e produção fotovoltaica. De modo a estimar a potência necessária e a energia consumida, simulou-se a frequência de carregamento dos VE na infraestrutura de carregamento, baseado em probabilidades, modelizado tendo em conta a distância que a bateria do veículo elétrico consegue durar num determinado período de tempo e a probabilidade de esse veículo ter certas características.Roque, Luís Augusto CorreiaRepositório Científico do Instituto Politécnico do PortoFélix, Pedro Miguel Cardoso2023-10-29T00:32:22Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.22/17050TID:202550850enginfo: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:RCAAP2023-11-01T01:46:12Zoai:recipp.ipp.pt:10400.22/17050Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:36:44.130412Repositório 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 |
Battery energy storage system optimal sizing in a battery electric vehicle fast charging infrastructure |
title |
Battery energy storage system optimal sizing in a battery electric vehicle fast charging infrastructure |
spellingShingle |
Battery energy storage system optimal sizing in a battery electric vehicle fast charging infrastructure Félix, Pedro Miguel Cardoso Battery Energy Storage System Fast Charging Stations Battery Electric Vehicle Sistema de Armazenamento de Energia em Baterias Infraestruturas de carregamento rápido Veículo Elétrico |
title_short |
Battery energy storage system optimal sizing in a battery electric vehicle fast charging infrastructure |
title_full |
Battery energy storage system optimal sizing in a battery electric vehicle fast charging infrastructure |
title_fullStr |
Battery energy storage system optimal sizing in a battery electric vehicle fast charging infrastructure |
title_full_unstemmed |
Battery energy storage system optimal sizing in a battery electric vehicle fast charging infrastructure |
title_sort |
Battery energy storage system optimal sizing in a battery electric vehicle fast charging infrastructure |
author |
Félix, Pedro Miguel Cardoso |
author_facet |
Félix, Pedro Miguel Cardoso |
author_role |
author |
dc.contributor.none.fl_str_mv |
Roque, Luís Augusto Correia Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Félix, Pedro Miguel Cardoso |
dc.subject.por.fl_str_mv |
Battery Energy Storage System Fast Charging Stations Battery Electric Vehicle Sistema de Armazenamento de Energia em Baterias Infraestruturas de carregamento rápido Veículo Elétrico |
topic |
Battery Energy Storage System Fast Charging Stations Battery Electric Vehicle Sistema de Armazenamento de Energia em Baterias Infraestruturas de carregamento rápido Veículo Elétrico |
description |
The growing number of battery electric vehicles and plug-in hybrid electric vehicles brings the need of more fast charging stations across cities and highway stops. This charging stations toned to be connected to the electrical grid via existent facilities, causing constraints such as power availability. This work brings an approach for the planning and operation of such energy hubs by coping with this challenge by deploying a Battery-based Energy Storage System (BESS). With the BESS integration, it is expected to minimize utilization and overall energy costs, preventing infrastructure upgrades, and enhancing the integration of renewable energy resources. This approach sizes a stationary energy storage system with lithium-ion technology batteries through a co-optimization of the planning and operation stages, integrated into an electrical installation that will implement fast charging stations. This sizing is a result of an optimization based on the interior point algorithm, where the objective is to minimize the costs of maintenance, operation, and installation of a BESS, while properly modelling the different resources such as the BESS, the charging station and Electric Vehicles (EV) charging and Photovoltaic generation (PV). In order to have an estimate of necessary power and energy consumption, a simulated frequency of parking of BEVs at the charging stations, based on probabilities, was modelled taking into account the distance that a battery electric vehicle will do in a certain period of time and the probability of being a car with a particular set of characteristics. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 2020-01-01T00:00:00Z 2023-10-29T00:32:22Z |
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/10400.22/17050 TID:202550850 |
url |
http://hdl.handle.net/10400.22/17050 |
identifier_str_mv |
TID:202550850 |
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.format.none.fl_str_mv |
application/pdf |
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 |
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1799131457826848768 |