A fuzzy decision maker to determine optimal starting time of shiftable loads in the smart grids

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Özet

Smart grid studies have been increased tremendously for past ten years in order to modernise and solve problems of current electrical grids. One of the aim of the smart grids is to react autonomously to the problems in electrical networks by means of artificial intelligence and decision maker. Fuzzy logic-based embedded control systems simulate human thoughts and decision making processes. So, fuzzy logic and fuzzy decision makers can be utilised in smart grids for automated system management. In this paper, a fuzzy decision maker has been proposed to manage time-shiftable loads in residences. The proposed fuzzy decision maker determines optimal starting time of time-shiftable loads in residential areas in order to provide balanced power curve and decrease peak load consumptions by scheduling the loads. Design stage of the proposed fuzzy decision maker have been introduced and presented clearly. Finally, a design example has been given to show the decision results.

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AlanDeğerDil
dc.contributor.authorAltaş, Ismail Hakkı
dc.contributor.authorÇakmak, Recep
dc.date.accessioned2026-10-22T10:23:00.755695890Z
dc.date.available2026-10-22T10:23:00.755695890Z
dc.date.issued2020
dc.description.abstractSmart grid studies have been increased tremendously for past ten years in order to modernise and solve problems of current electrical grids. One of the aim of the smart grids is to react autonomously to the problems in electrical networks by means of artificial intelligence and decision maker. Fuzzy logic-based embedded control systems simulate human thoughts and decision making processes. So, fuzzy logic and fuzzy decision makers can be utilised in smart grids for automated system management. In this paper, a fuzzy decision maker has been proposed to manage time-shiftable loads in residences. The proposed fuzzy decision maker determines optimal starting time of time-shiftable loads in residential areas in order to provide balanced power curve and decrease peak load consumptions by scheduling the loads. Design stage of the proposed fuzzy decision maker have been introduced and presented clearly. Finally, a design example has been given to show the decision results.
dc.identifier.endpage216
dc.identifier.issn1755-0556
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85091831704
dc.identifier.startpage210
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/14693
dc.identifier.volume12
dc.language.isoen
dc.publisherInderscience Enterprises Ltd.
dc.relation.ispartofInternational Journal of Reasoning-based Intelligent Systems
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDemand side management
dc.subjectDSM
dc.subjectFDM
dc.subjectFuzzy decision maker
dc.subjectFuzzy logic
dc.subjectLoad scheduling
dc.subjectSmart grids
dc.subject.otherArtificial intelligence
dc.subject.otherAutomation
dc.subject.otherComputer circuits
dc.subject.otherElectric power transmission networks
dc.subject.otherEmbedded systems
dc.subject.otherFuzzy control
dc.subject.otherFuzzy logic
dc.subject.otherMan machine systems
dc.subject.otherMicrogrids
dc.subject.otherSmart power grids
dc.subject.otherAutomated systems
dc.subject.otherDecision makers
dc.subject.otherDecision making process
dc.subject.otherElectrical grids
dc.subject.otherElectrical networks
dc.subject.otherEmbedded control systems
dc.subject.otherFuzzy decision-makers
dc.subject.otherResidential areas
dc.subject.otherDecision making
dc.titleA fuzzy decision maker to determine optimal starting time of shiftable loads in the smart grids
dc.typeConference Object
dspace.entity.typePublication
rdl.citation.scopus6
rdl.oa.statusclosed
rdl.source.indexSCOPUS