Battery energy storage system optimal sizing in a battery electric vehicle fast charging infrastructure

Detalhes bibliográficos
Autor(a) principal: Félix, Pedro Miguel Cardoso
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.
id RCAP_5f63607254e2bf3afad604ca3cd17010
oai_identifier_str oai:recipp.ipp.pt:10400.22/17050
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling 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
repository.mail.fl_str_mv
_version_ 1799131457826848768