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Evaluation of the Electric Vehicle Impact in the Power Demand Curve in a Smart Grid Environment

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dc.contributor.authorMorais, Hugo
dc.contributor.authorSousa, Tiago
dc.contributor.authorVale, Zita
dc.contributor.authorFaria, Pedro
dc.date.accessioned2014-12-09T15:22:47Z
dc.date.available2014-12-09T15:22:47Z
dc.date.issued2014
dc.description.abstractSmart grids with an intensive penetration of distributed energy resources will play an important role in future power system scenarios. The intermittent nature of renewable energy sources brings new challenges, requiring an efficient management of those sources. Additional storage resources can be beneficially used to address this problem; the massive use of electric vehicles, particularly of vehicle-to-grid (usually referred as gridable vehicles or V2G), becomes a very relevant issue. This paper addresses the impact of Electric Vehicles (EVs) in system operation costs and in power demand curve for a distribution network with large penetration of Distributed Generation (DG) units. An efficient management methodology for EVs charging and discharging is proposed, considering a multi-objective optimization problem. The main goals of the proposed methodology are: to minimize the system operation costs and to minimize the difference between the minimum and maximum system demand (leveling the power demand curve). The proposed methodology perform the day-ahead scheduling of distributed energy resources in a distribution network with high penetration of DG and a large number of electric vehicles. It is used a 32-bus distribution network in the case study section considering different scenarios of EVs penetration to analyze their impact in the network and in the other energy resources management.por
dc.identifier.doi10.1016/j.enconman.2014.03.032
dc.identifier.issn0196-8904
dc.identifier.urihttp://hdl.handle.net/10400.22/5247
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherElsevierpor
dc.relation.ispartofseriesEnergy Conversion and Management;vol. 82
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0196890414002246por
dc.subjectDistributed generationpor
dc.subjectPower demand curvepor
dc.subjectMixed-integer linear programmingpor
dc.subjectSmart gridpor
dc.subjectVehicle-to-gridpor
dc.titleEvaluation of the Electric Vehicle Impact in the Power Demand Curve in a Smart Grid Environmentpor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage282por
oaire.citation.startPage268por
oaire.citation.titleEnergy Conversion and Managementpor
person.familyNameMorais
person.familyNameVale
person.familyNameFaria
person.givenNameHugo
person.givenNameZita
person.givenNamePedro
person.identifier80878
person.identifier632184
person.identifier.ciencia-id2010-D878-271B
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.orcid0000-0001-5906-4744
person.identifier.orcid0000-0002-4560-9544
person.identifier.orcid0000-0002-5982-8342
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id21834170800
person.identifier.scopus-author-id7004115775
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicationb159f8c9-5ee1-444e-b890-81242ee0738e
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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