Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3389/fenrg.2021.705066 http://hdl.handle.net/11449/229914 |
Resumo: | Local electricity markets are emerging solutions to enable local energy trade for the end users and provide grid support services when required. Various models of local electricity markets (LEMs) have been proposed in the literature. The peer-to-peer market model appears as a promising structure among the proposed models. The peer-to-peer market structure enables electricity transactions between the players in a local energy system at a lower cost. It promotes the production from the small low–carbon generation technologies. Energy communities can be the ideal place to implement local electricity markets as they are designed to allow for larger growth of renewable energy and electric vehicles, while benefiting from local transactions. In this context, a LEM model is proposed considering an energy community with high penetration of electric vehicles in which prosumer-to-vehicle (P2V) transactions are possible. Each member of the energy community can buy electricity from the retailer or other members and sell electricity. The problem is modeled as a mixed-integer linear programing (MILP) formulation and solved within a decentralized and iterative process. The decentralized implementation provides acceptable solutions with a reasonable execution time, while the centralized implementation usually gives an optimal solution at the expense of reduced scalability. Preliminary results indicate that there are advantages for EVs as participants of the LEM, and the proposed implementation ensures an optimal solution in an acceptable execution time. Moreover, P2V transactions benefit the local distribution grid and the energy community. |
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Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approachdecentralized controlelectric vehicleenergy communitylocal electricity marketsprosumerLocal electricity markets are emerging solutions to enable local energy trade for the end users and provide grid support services when required. Various models of local electricity markets (LEMs) have been proposed in the literature. The peer-to-peer market model appears as a promising structure among the proposed models. The peer-to-peer market structure enables electricity transactions between the players in a local energy system at a lower cost. It promotes the production from the small low–carbon generation technologies. Energy communities can be the ideal place to implement local electricity markets as they are designed to allow for larger growth of renewable energy and electric vehicles, while benefiting from local transactions. In this context, a LEM model is proposed considering an energy community with high penetration of electric vehicles in which prosumer-to-vehicle (P2V) transactions are possible. Each member of the energy community can buy electricity from the retailer or other members and sell electricity. The problem is modeled as a mixed-integer linear programing (MILP) formulation and solved within a decentralized and iterative process. The decentralized implementation provides acceptable solutions with a reasonable execution time, while the centralized implementation usually gives an optimal solution at the expense of reduced scalability. Preliminary results indicate that there are advantages for EVs as participants of the LEM, and the proposed implementation ensures an optimal solution in an acceptable execution time. Moreover, P2V transactions benefit the local distribution grid and the energy community.Fundação para a Ciência e a TecnologiaGECAD Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD) Polytechnic of PortoDepartment of Electrical Engineering Chalmers University of TechnologyDepartamento de Engenharia Elétrica Faculdade de Engenharia de Ilha Solteira UNESP–Universidade Estadual PaulistaSchool of Engineering (ISEP) Polytechnic of PortoDepartamento de Engenharia Elétrica Faculdade de Engenharia de Ilha Solteira UNESP–Universidade Estadual PaulistaPolytechnic of PortoChalmers University of TechnologyUniversidade Estadual Paulista (UNESP)Faia, RicardoSoares, JoãoFotouhi Ghazvini, Mohammad AliFranco, John F. [UNESP]Vale, Zita2022-04-29T08:36:38Z2022-04-29T08:36:38Z2021-11-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3389/fenrg.2021.705066Frontiers in Energy Research, v. 9.2296-598Xhttp://hdl.handle.net/11449/22991410.3389/fenrg.2021.7050662-s2.0-85119431564Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengFrontiers in Energy Researchinfo:eu-repo/semantics/openAccess2024-07-04T19:05:43Zoai:repositorio.unesp.br:11449/229914Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:56:03.805464Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach |
title |
Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach |
spellingShingle |
Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach Faia, Ricardo decentralized control electric vehicle energy community local electricity markets prosumer |
title_short |
Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach |
title_full |
Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach |
title_fullStr |
Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach |
title_full_unstemmed |
Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach |
title_sort |
Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach |
author |
Faia, Ricardo |
author_facet |
Faia, Ricardo Soares, João Fotouhi Ghazvini, Mohammad Ali Franco, John F. [UNESP] Vale, Zita |
author_role |
author |
author2 |
Soares, João Fotouhi Ghazvini, Mohammad Ali Franco, John F. [UNESP] Vale, Zita |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Polytechnic of Porto Chalmers University of Technology Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Faia, Ricardo Soares, João Fotouhi Ghazvini, Mohammad Ali Franco, John F. [UNESP] Vale, Zita |
dc.subject.por.fl_str_mv |
decentralized control electric vehicle energy community local electricity markets prosumer |
topic |
decentralized control electric vehicle energy community local electricity markets prosumer |
description |
Local electricity markets are emerging solutions to enable local energy trade for the end users and provide grid support services when required. Various models of local electricity markets (LEMs) have been proposed in the literature. The peer-to-peer market model appears as a promising structure among the proposed models. The peer-to-peer market structure enables electricity transactions between the players in a local energy system at a lower cost. It promotes the production from the small low–carbon generation technologies. Energy communities can be the ideal place to implement local electricity markets as they are designed to allow for larger growth of renewable energy and electric vehicles, while benefiting from local transactions. In this context, a LEM model is proposed considering an energy community with high penetration of electric vehicles in which prosumer-to-vehicle (P2V) transactions are possible. Each member of the energy community can buy electricity from the retailer or other members and sell electricity. The problem is modeled as a mixed-integer linear programing (MILP) formulation and solved within a decentralized and iterative process. The decentralized implementation provides acceptable solutions with a reasonable execution time, while the centralized implementation usually gives an optimal solution at the expense of reduced scalability. Preliminary results indicate that there are advantages for EVs as participants of the LEM, and the proposed implementation ensures an optimal solution in an acceptable execution time. Moreover, P2V transactions benefit the local distribution grid and the energy community. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-04 2022-04-29T08:36:38Z 2022-04-29T08:36:38Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3389/fenrg.2021.705066 Frontiers in Energy Research, v. 9. 2296-598X http://hdl.handle.net/11449/229914 10.3389/fenrg.2021.705066 2-s2.0-85119431564 |
url |
http://dx.doi.org/10.3389/fenrg.2021.705066 http://hdl.handle.net/11449/229914 |
identifier_str_mv |
Frontiers in Energy Research, v. 9. 2296-598X 10.3389/fenrg.2021.705066 2-s2.0-85119431564 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Frontiers in Energy Research |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128292338794496 |