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Genetic algorithm based optimal self-tuning fuzzy logic controller for power system static VAR stabiliser

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dc.contributor.authorDalci, KB
dc.contributor.authorUzunoglu, M
dc.contributor.authorKucukdemiral, IB
dc.date.accessioned2026-06-27T12:56:42Z
dc.date.issued2004
dc.description.abstractIn this study, a novel method is proposed for the compensation of loads that vary frequently in time. The proposed scheme is based on the fuzzy logic controller (FLC) that is widely used in control of nonlinear processes. FLC architecture is used for regulating the gains of the basis Proportional-Integral (PI) as a self-tuning controller. On the other hand, the constant gains of the basis: PI controller are optimised by a genetic algorithm. Experimental results demonstrate that the proposed method shows better performance than that of the conventional PI controller.en
dc.description.urihttps://doi.org/10.7227/ijeee.41.1.7
dc.identifier.doi10.7227/ijeee.41.1.7
dc.identifier.eissn2050-4578
dc.identifier.endpage89
dc.identifier.issn0020-7209
dc.identifier.issue1
dc.identifier.startpage71
dc.identifier.urihttps://hdl.handle.net/20.500.14981/47989
dc.identifier.volume41
dc.identifier.wos000224796400007
dc.language.isoeng
dc.publisherSAGE PUBLICATIONS LTD
dc.relation.ispartofINTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION
dc.subjectfuzzy logic controller
dc.subject(FLC) genetic algorithms
dc.subjectPI controller
dc.subjectstatic VAR compensator
dc.subjectEducation & Educational Research
dc.subjectEngineering
dc.titleGenetic algorithm based optimal self-tuning fuzzy logic controller for power system static VAR stabiliser
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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