GRASP Algorithm for Charging Coordination of Plug-In Electric Vehicles in Electrical Distribution Systems

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2018-11-26T17:16:29Z
dc.date.available2018-11-26T17:16:29Z
dc.date.created2018-11-26T17:16:29Z
dc.date.issued2016-01-01
dc.identifier2016 Ieee Pes Transmission & Distribution Conference And Exposition-latin America (pes T&d-la). New York: Ieee, 6 p., 2016.
dc.identifier2381-3571
dc.identifierhttp://hdl.handle.net/11449/162388
dc.identifierWOS:000392658600027
dc.description.abstractA new methodology, based on the GRASP (Greedy Random Adaptative Search Procedure) metaheuristic is proposed in this paper in order to solve the plug-in electric vehicle (PEV) charging coordination problem in electrical distribution systems (EDSs). The proposed method minimizes the total operational costs of the EDS by determining an optimal schedule for the electric vehicle battery charging. Additionally, priority conditions on the PEV charging are considered. The efficiency of the proposed methodology is verified using a 449-node system. The results shown that the achieved solution provides an economic operation of the EDS, while satisfying operational constraints.
dc.languageeng
dc.publisherIeee
dc.relation2016 Ieee Pes Transmission & Distribution Conference And Exposition-latin America (pes T&d-la)
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectElectrical distribution systems
dc.subjectelectric vehicles charging coordination
dc.subjectGRASP
dc.subjectmetaheuristic
dc.titleGRASP Algorithm for Charging Coordination of Plug-In Electric Vehicles in Electrical Distribution Systems
dc.typeActas de congresos


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