A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In ELectric Vehicles

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dc.contributor.authorMelo, J. D. [UNESP]
dc.contributor.authorCarreno, E. M. [UNESP]
dc.contributor.authorPadilha-Feltrin, A. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual do Oeste do Paraná (UNIOESTE)
dc.date.accessioned2014-05-27T11:27:08Z
dc.date.available2014-05-27T11:27:08Z
dc.date.issued2012-11-01
dc.description.abstractA multi-agent system with a percolation approach to simulate the driving pattern of Plug-In Electric Vehicle (PEV), especially suited to simulate the PEVs behavior on any distribution systems, is presented. This tool intends to complement information about the driving patterns database on systems where that kind of information is not available. So, this paper aims to provide a framework that is able to work with any kind of technology and load generated of PEVs. The service zone is divided into several sub-zones, each subzone is considered as an independent agent identified with corresponding load level, and their relationships with the neighboring zones are represented as network probabilities. A percolation approach is used to characterize the autonomy of the battery of the PVEs to move through the city. The methodology is tested with data from a mid-size city real distribution system. The result shows the sub-area where the battery of PEVs will need to be recharge and gives the planners of distribution systems the necessary input for a medium to long term network planning in a smart grid environment. © 2012 IEEE.en
dc.description.affiliationFaculdade de Engenharia de Ilha Solteira Universidade Estadual Paulista (UNESP) Departamento de Engenharia Elétrica, Ilha Solteira 15385-000, SP
dc.description.affiliationCECEUNIOESTE, Foz de Iguaçu-PR
dc.description.affiliationUnespFaculdade de Engenharia de Ilha Solteira Universidade Estadual Paulista (UNESP) Departamento de Engenharia Elétrica, Ilha Solteira 15385-000, SP
dc.identifierhttp://dx.doi.org/10.1109/TDC.2012.6281613
dc.identifier.citationProceedings of the IEEE Power Engineering Society Transmission and Distribution Conference.
dc.identifier.doi10.1109/TDC.2012.6281613
dc.identifier.issn2160-8555
dc.identifier.issn2160-8563
dc.identifier.scopus2-s2.0-84867969910
dc.identifier.urihttp://hdl.handle.net/11449/73708
dc.identifier.wosWOS:000317001100199
dc.language.isoeng
dc.relation.ispartofProceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectAgent
dc.subjectdistribution planning
dc.subjectmulti-agent
dc.subjectpercolation theory
dc.subjectplugin electric vehicle
dc.subjectDistribution planning
dc.subjectDistribution systems
dc.subjectDriving pattern
dc.subjectIndependent agents
dc.subjectLoad levels
dc.subjectLong-term network planning
dc.subjectMulti agent system (MAS)
dc.subjectPercolation theory
dc.subjectPlug-ins
dc.subjectReal distribution
dc.subjectSmart grid
dc.subjectAgents
dc.subjectExhibitions
dc.subjectLocal area networks
dc.subjectMulti agent systems
dc.subjectSolvents
dc.subjectElectric vehicles
dc.titleA multi-agent system with a percolation approach to simulate the driving pattern of Plug-In ELectric Vehiclesen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
unesp.author.lattes3886842168147059[3]
unesp.author.orcid0000-0001-6495-440X[3]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt

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