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Particle swarm optimization based approaches to vehicle-to-grid scheduling

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dc.contributor.authorSoares, João
dc.contributor.authorMorais, H.
dc.contributor.authorVale, Zita
dc.date.accessioned2013-05-03T11:48:03Z
dc.date.available2013-05-03T11:48:03Z
dc.date.issued2012
dc.date.updated2013-04-11T14:44:08Z
dc.description.abstractThis paper addresses the problem of energy resources management using modern metaheuristics approaches, namely Particle Swarm Optimization (PSO), New Particle Swarm Optimization (NPSO) and Evolutionary Particle Swarm Optimization (EPSO). The addressed problem in this research paper is intended for aggregators’ use operating in a smart grid context, dealing with Distributed Generation (DG), and gridable vehicles intelligently managed on a multi-period basis according to its users’ profiles and requirements. The aggregator can also purchase additional energy from external suppliers. The paper includes a case study considering a 30 kV distribution network with one substation, 180 buses and 90 load points. The distribution network in the case study considers intense penetration of DG, including 116 units from several technologies, and one external supplier. A scenario of 6000 EVs for the given network is simulated during 24 periods, corresponding to one day. The results of the application of the PSO approaches to this case study are discussed deep in the paper.por
dc.identifierDOI 10.1109/PESGM.2012.6345358
dc.identifier.doi10.1109/PESGM.2012.6345358pt_PT
dc.identifier.isbn978-1-4673-2727-5
dc.identifier.urihttp://hdl.handle.net/10400.22/1510
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6345358por
dc.subjectElectric vehiclepor
dc.subjectEnergy resource managementpor
dc.subjectMixed Integer Non-Linear Programming (MINLP)por
dc.subjectParticle swarm optimizationpor
dc.titleParticle swarm optimization based approaches to vehicle-to-grid schedulingpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSan Diego, CA, USA, 2012por
oaire.citation.titleIEEE Power and Energy Society General Meeting (PES GM 2012)por
person.familyNameSoares
person.familyNameVale
person.givenNameJoão
person.givenNameZita
person.identifier1043580
person.identifier632184
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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