Repository logo
 
Publication

Optimisation for Coalitions Formation Considering the Fairness in Flexibility Market Participation

2020-11Conference object Open access
Simple item page
dc.contributor.authorFaria, Ricardo
dc.contributor.authorPinto, Tiago
dc.contributor.authorLezama, Fernando
dc.contributor.authorVale, Zita
dc.contributor.authorCorchado, Juan Manuel
dc.date.accessioned2021-03-08T17:11:44Z
dc.date.available2021-03-08T17:11:44Z
dc.date.issued2020-11
dc.description.abstractThis paper proposes a coalitional game-theoretical model for consumers’ flexibility coalition formation, supported by an optimization model based on differential evolution. Traditionally, the participation in conventional electricity markets used to be limited to large producers and consumers. The final end-users contract their energy supply with retailers, since due to the smaller quantity available for trading, they cannot participate in electricity market transactions. Nowadays, the growing concept of local electricity market brings many advantages to the end-users. The flexibility negotiation considering local areas is an important procedure for network operators and it is incorporating a local electricity market opportunity. A coalition formation model to facilitate small players participation in the flexibility market proposed by the network operator is addressed in this work. The inclusion of Shapley value in the proposed model enables finding the best coalition structures considering the fairness of the coalitions in addition to the potential income achieved by the consumers when selling their flexibility. An optimization model based on differential evolution is also proposed as the way to find the optimal coalition structures based on the multi-criteria specifications.pt_PT
dc.description.sponsorshipThis work has received funding from FEDER Funds through COMPETE program and from National Funds through (FCT) under the projects CEECIND/01811/2017 and UIDB/00760/2020, from the European Union's Horizon 2020 research and innovation programme under project DOMINOES (grant agreement No 771066), and Ricardo Faia is supported by national funds through Fundacão para a Ciência e a Tecnologia (FCT) with PhD grant reference SFRH/BD/133086/2017.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1051/e3sconf/202123900016pt_PT
dc.identifier.issn2267-1242
dc.identifier.urihttp://hdl.handle.net/10400.22/17306
dc.language.isoengpt_PT
dc.publisherEDP Sciencespt_PT
dc.relationCEECIND/01811/2017pt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relationSmart Distribution Grid: a Market Driven Approach for the Next Generation of Advanced Operation Models and Services
dc.relationApoio à decisão para participação em mercados de energia elétrica
dc.relation.publisherversionhttps://www.e3s-conferences.org/articles/e3sconf/abs/2021/15/e3sconf_icren2021_00016/e3sconf_icren2021_00016.htmlpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/pt_PT
dc.subjectConsumers’ flexibilitypt_PT
dc.subjectElectricity marketspt_PT
dc.titleOptimisation for Coalitions Formation Considering the Fairness in Flexibility Market Participationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardTitleSmart Distribution Grid: a Market Driven Approach for the Next Generation of Advanced Operation Models and Services
oaire.awardTitleApoio à decisão para participação em mercados de energia elétrica
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/771066/EU
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F133086%2F2017/PT
oaire.citation.titleInternational Conference on Renewable Energy (ICREN 2020)pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamH2020
person.familyNamePinto
person.familyNameLezama
person.familyNameVale
person.givenNameTiago
person.givenNameFernando
person.givenNameZita
person.identifierR-000-T7J
person.identifier632184
person.identifier.ciencia-id2414-9B03-C4BB
person.identifier.ciencia-idE31F-56D6-1E0F
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0001-8248-080X
person.identifier.orcid0000-0001-8638-8373
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridT-2245-2018
person.identifier.ridA-6945-2017
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35219107600
person.identifier.scopus-author-id36810077500
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication8d58ddc0-1023-47c0-a005-129d412ce98d
relation.isAuthorOfPublication6a55317b-92c2-404f-8542-c7a73061cc9b
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscovery8d58ddc0-1023-47c0-a005-129d412ce98d
relation.isProjectOfPublicationdb3e2edb-b8af-487a-b76a-f6790ac2d86e
relation.isProjectOfPublication166b0a9d-d964-4026-9532-601559959486
relation.isProjectOfPublication5174c937-e0b3-4cec-a768-c1fe1d75165e
relation.isProjectOfPublication.latestForDiscoverydb3e2edb-b8af-487a-b76a-f6790ac2d86e

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
COM_GECAD_ICREN_2020_RFaia.pdf
Size:
657.06 KB
Format:
Adobe Portable Document Format
Download

Collections

ISEP – GECAD – Comunicações em eventos científicos