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Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach

dc.contributor.authorFaia, Ricardo
dc.contributor.authorSoares, João
dc.contributor.authorFotouhi Ghazvini, Mohammad Ali
dc.contributor.authorFranco, John F.
dc.contributor.authorVale, Zita
dc.date.accessioned2023-03-14T09:41:25Z
dc.date.available2023-03-14T09:41:25Z
dc.date.issued2021
dc.description.abstractLocal 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.pt_PT
dc.description.sponsorshipThis work has received funding from FEDER Funds through COMPETE program and from National Funds through (FCT) under the projects CENERGETIC (PTDC/EEI-EEE/28983/2017), CEECIND/02814/2017 (JS grant), SFRH/BD/133086/2017 (RF PhD grant). We also acknowledge the work facilities and equipment provided by GECAD research center (UIDB/00760/2020) to the project team. Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES), in the scope of the Program CAPES-PrInt, process number 88887.310463/2018-00, International Cooperation Project number 5-P2-1479.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3389/fenrg.2021.705066pt_PT
dc.identifier.issn2296-598X
dc.identifier.urihttp://hdl.handle.net/10400.22/22465
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherFrontierspt_PT
dc.relation88887.310463/2018-00pt_PT
dc.relationNot Available
dc.relationApoio à decisão para participação em mercados de energia elétrica
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://www.frontiersin.org/articles/10.3389/fenrg.2021.705066/fullpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectDecentralized controlpt_PT
dc.subjectEnergy communitypt_PT
dc.subjectLocal electricity marketspt_PT
dc.subjectProsumerpt_PT
dc.subjectElectric vehiclept_PT
dc.titleLocal Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleNot Available
oaire.awardTitleApoio à decisão para participação em mercados de energia elétrica
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-EEE%2F28983%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F02814%2F2017%2FCP1417%2FCT0002/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F133086%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT
oaire.citation.titleFrontiers in Energy Researchpt_PT
oaire.citation.volume9pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStreamCEEC IND 2017
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFaia
person.familyNameSoares
person.familyNameFotouhi Ghazvini
person.familyNameVale
person.givenNameRicardo Francisco Marcos
person.givenNameJoão
person.givenNameMohammad Ali
person.givenNameZita
person.identifier78FtZwIAAAAJ
person.identifier1043580
person.identifier632184
person.identifier.ciencia-id9B12-19F6-D6C7
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-1053-7720
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-0638-7221
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id54782572900
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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