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Decision Support for Negotiations among Microgrids Using a Multiagent Architecture

dc.contributor.authorPinto, Tiago
dc.contributor.authorFotouhi Ghazvini, Mohammad Ali
dc.contributor.authorSoares, João
dc.contributor.authorFaia, Ricardo
dc.contributor.authorCorchado, Juan
dc.contributor.authorCastro, Rui
dc.contributor.authorVale, Zita
dc.date.accessioned2021-02-24T12:01:28Z
dc.date.available2021-02-24T12:01:28Z
dc.date.issued2018-09
dc.description.abstractThis paper presents a decision support model for negotiation portfolio optimization considering the participation of players in local markets (at the microgrid level) and in external markets, namely in regional markets, wholesale negotiations and negotiations of bilateral agreements. A local internal market model for microgrids is defined, and the connection between interconnected microgrids is based on nodal pricing to enable negotiations between nearby microgrids. The market environment considering the local market setting and the interaction between integrated microgrids is modeled using a multi-agent approach. Several multi-agent systems are used to model the electricity market environment, the interaction between small players at a microgrid scale, and to accommodate the decision support features. The integration of the proposed models in this multi-agent society and interaction between these distinct specific multi-agent systems enables modeling the system as a whole and thus testing and validating the impact of the method in the outcomes of the involved players. Results show that considering the several negotiation opportunities as complementary and making use of the most appropriate markets depending on the expected prices at each moment allows players to achieve more profitable results.pt_PT
dc.description.sponsorshipThis work has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 703689 (project ADAPT). Rui Castro was supported by national funds through FCT with reference UID/CEC/50021/201; Mohammad Ali Fotouhi Ghazvini has been supported by PhD grant reference SFRH/BD/94688/2013.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/en11102526pt_PT
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/10400.22/17111
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationSMART POWER SYSTEM OPERATION UNDER UNCERTAINTY IN SHORT-TERM ELECTRICITY MARKETS
dc.relationAdaptive Decision support for Agents negotiation in electricity market and smart grid Power Transactions
dc.relation.publisherversionhttps://www.mdpi.com/1996-1073/11/10/2526pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/pt_PT
dc.subjectLocal electricity marketspt_PT
dc.subjectMicrogridspt_PT
dc.subjectMultiagent systemspt_PT
dc.subjectSmart gridspt_PT
dc.subjectTransactive energypt_PT
dc.titleDecision Support for Negotiations among Microgrids Using a Multiagent Architecturept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleSMART POWER SYSTEM OPERATION UNDER UNCERTAINTY IN SHORT-TERM ELECTRICITY MARKETS
oaire.awardTitleAdaptive Decision support for Agents negotiation in electricity market and smart grid Power Transactions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F94688%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/703689/EU
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FCEC%2F50021%2F2013/PT
oaire.citation.issue10pt_PT
oaire.citation.startPage2526pt_PT
oaire.citation.titleEnergiespt_PT
oaire.citation.volume11pt_PT
oaire.fundingStreamH2020
oaire.fundingStream5876
person.familyNamePinto
person.familyNameFotouhi Ghazvini
person.familyNameSoares
person.familyNameFaia
person.familyNameVale
person.givenNameTiago
person.givenNameMohammad Ali
person.givenNameJoão
person.givenNameRicardo Francisco Marcos
person.givenNameZita
person.identifierR-000-T7J
person.identifier1043580
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person.identifier632184
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person.identifier.orcid0000-0001-8248-080X
person.identifier.orcid0000-0002-0638-7221
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-1053-7720
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridT-2245-2018
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35219107600
person.identifier.scopus-author-id54782572900
person.identifier.scopus-author-id35436109600
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.typearticlept_PT
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