A fuzzy queueing based model for controlling power demand of electric vehicle charging

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The rapid penetration of electric vehicles may lead to peak problems in a traditional grid so that some of the smart grid research is focused on charging strategies for electric vehicles. The charging problem is suitable for using a queue structure, and fuzzy queueing can be implemented for this purpose. This paper presents a fuzzy queueing based model, which can also control the power demand of electric vehicle charging. A charging model should guarantee that all charging requirements can be satisfied before vehicles leaving the charging stations. Simulation results exhibit that the proposed model decreases average waiting time of vehicles and also the proposed model utilize charging stations better than a traditional queueing model.

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dc.contributor.authorBaloglu, Ulas Baran
dc.contributor.authorDemir, Yakup
dc.contributor.editorNapoli, C.
dc.contributor.editorUniversity of Catania, Department of Mathematics and Informatics, Viale Andrea Doria 6, Catania
dc.contributor.editorWozniak, M.
dc.contributor.editorSilesian University of Technology, Institute of Mathematics, Kaszubska 23, Gliwice
dc.contributor.editorDamasevicius, R.
dc.contributor.editorKaunas University of Technology, Software Engineering Department, Studentu 50 415, Kaunas
dc.contributor.editorTramontana, E.
dc.date.accessioned2026-10-28T14:57:12.866255613Z
dc.date.available2026-10-28T14:57:12.866255613Z
dc.date.issued2017
dc.description.abstractThe rapid penetration of electric vehicles may lead to peak problems in a traditional grid so that some of the smart grid research is focused on charging strategies for electric vehicles. The charging problem is suitable for using a queue structure, and fuzzy queueing can be implemented for this purpose. This paper presents a fuzzy queueing based model, which can also control the power demand of electric vehicle charging. A charging model should guarantee that all charging requirements can be satisfied before vehicles leaving the charging stations. Simulation results exhibit that the proposed model decreases average waiting time of vehicles and also the proposed model utilize charging stations better than a traditional queueing model.
dc.identifier.endpage56
dc.identifier.issn1613-0073
dc.identifier.scopus2-s2.0-85021143911
dc.identifier.startpage53
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/3848
dc.identifier.volume1853
dc.language.isoen
dc.publisherCEUR-WS
dc.relation.conference2017 Symposium for Young Scientists in Technology, Engineering and Mathematics, SYSTEM 2017
dc.relation.ispartofCEUR Workshop Proceedings
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectElectric vehicles
dc.subjectFuzzy queueing
dc.subjectSmart grid
dc.subject.otherCharging (batteries)
dc.subject.otherElectric power transmission networks
dc.subject.otherElectric power utilization
dc.subject.otherElectric vehicles
dc.subject.otherPower control
dc.subject.otherQueueing theory
dc.subject.otherSmart power grids
dc.subject.otherVehicles
dc.subject.otherAverage waiting-time
dc.subject.otherCharging models
dc.subject.otherCharging station
dc.subject.otherCharging strategies
dc.subject.otherElectric vehicle charging
dc.subject.otherFuzzy queueing
dc.subject.otherQueueing model
dc.subject.otherSmart grid
dc.subject.otherElectric machine control
dc.titleA fuzzy queueing based model for controlling power demand of electric vehicle charging
dc.typeConference Object
rdl.citation.scopus0
rdl.conference.date28 April 2017
rdl.conference.placeKaunas
rdl.oa.statusclosed
rdl.source.indexSCOPUS