Electrical Vehicles Charging Coordination by Fuzzy Logical System

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dc.contributor.authorKılıçarslan, Meral
dc.contributor.authorAteş, Volkan
dc.contributor.authorAydilek, Hüseyin
dc.contributor.authorÇam, Ertuğrul
dc.date.accessioned2025-01-21T14:26:58Z
dc.date.available2025-01-21T14:26:58Z
dc.date.issued2018
dc.description.abstractToday,with the rapid technological development, interest in electric vehicles is alsoincreasing. This raises the question of what the effects of the vehicles on theelectric power network will be. In this article, the adverse effects ofcharging scenarios of electric vehicles' batteries on the electric powernetwork are examined and fuzzy logic based solutions are proposed to prevent orreduce the effects of charging electric vehicles during peak hours. In thisarticle a fuzzy logic system that is providing the cheapest charging prices,also reducing the impact on the load curve of Turkey’s electrical network isprovided.
dc.identifier.dergipark426804
dc.identifier.doi10.29137/umagd.426804
dc.identifier.issn1308-5514
dc.identifier.issue2-53
dc.identifier.startpage59
dc.identifier.urihttps://dergipark.org.tr/tr/download/article-file/507166
dc.identifier.urihttps://dergipark.org.tr/tr/pub/umagd/issue/38203/426804
dc.identifier.urihttps://doi.org/10.29137/umagd.426804
dc.identifier.urihttps://hdl.handle.net/20.500.12587/20008
dc.identifier.volume1
dc.language.isoen
dc.publisherKırıkkale Üniversitesi
dc.relation.ispartofUluslararası Mühendislik Araştırma ve Geliştirme Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectElectrical Vehicles
dc.subjectFuzzy Logic
dc.subjectLeast Squares Method
dc.subjectLoad
dc.titleElectrical Vehicles Charging Coordination by Fuzzy Logical System
dc.typeArticle

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