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Coordination strategies in distribution network considering multiple aggregators and high penetration of electric vehicles

dc.contributor.authorAlmeida, José
dc.contributor.authorSoares, João
dc.contributor.authorCanizes, Bruno
dc.contributor.authorVale, Zita
dc.date.accessioned2022-01-11T15:12:33Z
dc.date.available2022-01-11T15:12:33Z
dc.date.issued2021
dc.description.abstractGiven the current state of the society in which we live, in terms of energy pollution, several objectives have been set to try to reduce environmental problems. Some of these goals include an exponential increase in production through renewable energy, and Electric Vehicles (EVs) circulating on roads. Due to this high penetration of distributed energy resources in the electricity grid, several problems may exist: grid congestion, causing severe energy systems damage. Innovative coordination strategies must be developed to mitigate these situations. This paper proposes a methodology to minimize this problem in a smart grid with high penetration of Distributed Generation (DG) and EVs, taking into account multiple aggregators. Initially, the proposed model calculates each aggregator’s profit through some business models and analyzes the network without any congestion strategy. This analysis is then done in the presence of Distribution Locational Marginal Pricing (DLMPs), which the aggregator receives from the Distributed System Operator (DSO). The DSO gets these prices after running the Optimal Power Flow (OPF), where these prices involve the market price, the cost of losses, and the cost of congestion at a given point in the network. Here the aggregators react according to these costs, such as trying to buy flexibility from their customers. In this study, the results prove that dynamic prices are more viable for the power grid by reducing congestion by analyzing each aggregator’s profit.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/EEIEEE /28983/2017(CENERGETIC), CEECIND/02814/2017, and UIDB/000760/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.procs.2021.04.192pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/19391
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationPOCI-01-0145-FEDER-028983pt_PT
dc.relationPTDC/EEIEEE /28983/2017(CENERGETIC)pt_PT
dc.relationCEECIND/02814/2017pt_PT
dc.relationUIDB/000760/2020pt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1877050921010310?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectAggregatorpt_PT
dc.subjectCongestion managementpt_PT
dc.subjectDistributed Locational Marginal Pricespt_PT
dc.subjectDistribution networkpt_PT
dc.subjectElectric Vehiclespt_PT
dc.titleCoordination strategies in distribution network considering multiple aggregators and high penetration of electric vehiclespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceMoscow, Russiapt_PT
oaire.citation.endPage705pt_PT
oaire.citation.startPage698pt_PT
oaire.citation.title14th International Symposium "Intelligent Systems – 2020" (INTELS 2020)pt_PT
oaire.citation.volume186pt_PT
person.familyNameSoares
person.familyNameCanizes
person.familyNameVale
person.givenNameJoão
person.givenNameBruno
person.givenNameZita
person.identifier1043580
person.identifier632184
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-idA411-F561-E922
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-9808-5537
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridI-3492-2017
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id35408699300
person.identifier.scopus-author-id7004115775
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication7ea215ea-79d5-42be-a870-a0c8b23cf556
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscovery7ea215ea-79d5-42be-a870-a0c8b23cf556

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