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A Sensitivity Analysis of PSO Parameters Solving the P2P Electricity Market Problem

2022Conference object Open access
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dc.contributor.authorVieira, Miguel
dc.contributor.authorFaia, Ricardo
dc.contributor.authorLezama, Fernando
dc.contributor.authorCanizes, Bruno
dc.contributor.authorVale, Zita
dc.date.accessioned2023-03-14T10:56:38Z
dc.date.available2023-03-14T10:56:38Z
dc.date.issued2022
dc.description.abstractEnergy community markets have emerged to promote prosumers' active participation and empowerment in the electrical power system. These initiatives allow prosumers to transact electricity locally without an intermediary such as an aggregator. However, it is necessary to implement optimization methods that determine the best transactions within the energy community, obtaining the best solution under these models. Particle Swarm Optimization (PSO) fits this type of problem well because it allows reaching results in short optimization times. Furthermore, applying this metaheuristic to the problem is easy compared to other available optimization tools. In this work, we provide a sensitivity analysis of the impact of different parameters of PSO in solving an energy community market problem. As a result, the combination of parameters that lead to the best results is obtained, demonstrating the effectiveness of PSO solving different case studies.pt_PT
dc.description.sponsorshipThis research has received funding from FEDER funds through the Operational Programme for Competitiveness and Internationalization (COMPETE 2020), under Project POCI-01-0145-FEDER-028983; by National Funds through the FCT Portuguese Foundation for Science and Technology, under Projects PTDC/EEI-EEE/28983/2017 (CENERGETIC), CEECIND/02814/2017, and UIDB/000760/2020. Ricardo Faia has received support under the Ph.D. grant SFRH/BD/133086/2017 and COVID/BD/152167/2021 from National Funds through (FCT).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/CEC55065.2022.9870290pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/22474
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationPOCI-01-0145-FEDER-028983pt_PT
dc.relationNot Available
dc.relationApoio à decisão para participação em mercados de energia elétrica
dc.relationApoio à decisão para participação em mercados de energia elétrica
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9870290pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectLocal electricity marketspt_PT
dc.subjectParticle Swarm Optimizationpt_PT
dc.subjectPeer-to-Peer transactionspt_PT
dc.subjectSensitivity analysispt_PT
dc.subjectSwarm intelligencept_PT
dc.titleA Sensitivity Analysis of PSO Parameters Solving the P2P Electricity Market Problempt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleNot Available
oaire.awardTitleApoio à decisão para participação em mercados de energia elétrica
oaire.awardTitleApoio à decisão para participação em mercados de energia elétrica
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//COVID%2FBD%2F152167%2F2021/PT
oaire.citation.conferencePlacePadua, Italypt_PT
oaire.citation.endPage08pt_PT
oaire.citation.startPage01pt_PT
oaire.citation.titleIEEE Congress on Evolutionary Computation (CEC)pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStreamCEEC IND 2017
person.familyNameFaia
person.familyNameLezama
person.familyNameCanizes
person.familyNameVale
person.givenNameRicardo Francisco Marcos
person.givenNameFernando
person.givenNameBruno
person.givenNameZita
person.identifier78FtZwIAAAAJ
person.identifier632184
person.identifier.ciencia-id9B12-19F6-D6C7
person.identifier.ciencia-idE31F-56D6-1E0F
person.identifier.ciencia-idA411-F561-E922
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-1053-7720
person.identifier.orcid0000-0001-8638-8373
person.identifier.orcid0000-0002-9808-5537
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-6945-2017
person.identifier.ridI-3492-2017
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id36810077500
person.identifier.scopus-author-id35408699300
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.typeconferenceObjectpt_PT
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