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Determination of optimal hierarchical fuzzy controller parameters according to loading condition with ANN

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dc.contributor.authorCaner, Murat
dc.contributor.authorUmurkan, Nurettin
dc.contributor.authorTokat, Sezal
dc.contributor.authorUestuen, Seydi Vakkas
dc.date.accessioned2026-06-27T13:09:00Z
dc.date.issued2008
dc.description.abstractThis paper represents an artificial neural network (ANN) backpropagation algorithm is used to choose best coefficients of hierarchical fuzzy power system stabilizer (HFPSS). PSS is used for stability enhancement of a single machine infinite bus (SMIB) power system. ANN algorithm is used to predict load condition of the power system. And according to the predicted load condition ANN determinates choosing optimal parameters of the hierarchical fuzzy controller (HFC) to achieve better performance. Simulation results are compared with conventional PSS (CPSS) to show the effectiveness of the proposed controller. Also quantitative criterias of measuring performance is computed for 16 loading conditions. (c) 2007 Elsevier Ltd. All rights reserved.en
dc.description.urihttps://doi.org/10.1016/j.eswa.2007.05.038
dc.identifier.doi10.1016/j.eswa.2007.05.038
dc.identifier.endpage2655
dc.identifier.issn0957-4174
dc.identifier.issue4
dc.identifier.startpage2650
dc.identifier.urihttps://hdl.handle.net/20.500.14981/50409
dc.identifier.volume34
dc.identifier.wos000253521900041
dc.language.isoeng
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONS
dc.subjectexcitation control
dc.subjectpower system stabilizer
dc.subjecthierarchical fuzzy control
dc.subjectPOWER-SYSTEM STABILIZER
dc.subjectALGORITHM
dc.subjectDESIGN
dc.subjectComputer Science
dc.subjectEngineering
dc.subjectOperations Research & Management Science
dc.titleDetermination of optimal hierarchical fuzzy controller parameters according to loading condition with ANN
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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