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Single-unit and multi-unit auction framework for peer-to-peer transactions

dc.contributor.authorTeixeira, Daniel
dc.contributor.authorGomes, Luis
dc.contributor.authorVale, Zita
dc.date.accessioned2021-12-07T11:04:23Z
dc.date.available2021-12-07T11:04:23Z
dc.date.issued2021
dc.description.abstractPeer-to-peer transactions appear in smart grids as a way to enable the direct transaction of energy among end-users (i.e., consumers, producers, and prosumers). This concept promotes the efficient use of local renewable energy sources among neighbours. Several studies proposed the application of peer-to-peer models for energy communities, microgrids, and aggregators to decrease energy costs for end-users and to promote the balance between consumption and generation. In this paper, it is proposed a framework to test, and validate, using a real environment, single- and multi-unit peer-to-peer auctions. It is also proposed six lightweight fully distributed peer-to-peer auction models, avoiding the need for a central operator. The lightweight of the proposed models enables their execution in the fog-computing layer using single-board computers deployed in end-users. The proposed framework, together with the proposed day-ahead models, was tested and validated in a real microgrid with five prosumers. The results of two weeks are discussed using a comparative economic analysis. The proposed framework and models were able to reduce energy costs for the end-users, promoting competitive free market behaviours, with multi-unit models outperforming single-unit models in the overall trading efficiency and monetary profits.pt_PT
dc.description.sponsorshipThis work has received funding from the European Union's Horizon 2020 research and innovation programme under project DOMINOES (grant agreement No 771066) and from FEDER Funds through COMPETE program and from National Funds through FCT under the project UIDB/00760/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.ijepes.2021.107235pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/19006
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationSmart Distribution Grid: a Market Driven Approach for the Next Generation of Advanced Operation Models and Services
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0142061521004749?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectCompetitive marketspt_PT
dc.subjectEnergy auctionspt_PT
dc.subjectMulti-agent systemspt_PT
dc.subjectPeer-to-peer energy tradingpt_PT
dc.subjectTransactive energypt_PT
dc.titleSingle-unit and multi-unit auction framework for peer-to-peer transactionspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleSmart Distribution Grid: a Market Driven Approach for the Next Generation of Advanced Operation Models and Services
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/771066/EU
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT
oaire.citation.startPage107235pt_PT
oaire.citation.titleInternational Journal of Electrical Power & Energy Systemspt_PT
oaire.citation.volume133pt_PT
oaire.fundingStreamH2020
oaire.fundingStream6817 - DCRRNI ID
person.familyNameVale
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id6F19-CB63-C8A8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-8597-3383
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameEuropean Commission
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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