Robust Tuning of Power System Stabilizer by Using Orthogonal Learning Artificial Bee Colony

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dc.contributor.authorEke, I.
dc.contributor.authorTaplamacioglu, M. C.
dc.contributor.authorLee, Kwang Y.
dc.date.accessioned2020-06-25T18:15:45Z
dc.date.available2020-06-25T18:15:45Z
dc.date.issued2015
dc.departmentKırıkkale Üniversitesi
dc.description9th IFAC Symposium on Control of Power and Energy Systems (CPES 2015) -- DEC 09-11, 2015 -- New Delhi, INDIA
dc.descriptionEKE, ibrahim/0000-0003-4792-238X
dc.description.abstractThis study presents a design technique of a robust power system stabilizer using different performance indices obtained from artificial bee colony (ABC) algorithm. The parameters of a power system stabilizer (PSS) are tuned by using the ABC algorithm to achieve an acceptable overshoot and settling time at all load points within a wide region of operation. The objective function allows the selection of the stabilizer parameters to minimize the overshoot and settling time at all load conditions. For robust PSS performance, a wide range of operating conditions is considered for search space. The designed PSS is applied to a single-machine infinite-bus system operating at different loading conditions and the results demonstrated that the developed technique is very effective.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1016/j.ifacol.2015.12.369
dc.identifier.endpage154en_US
dc.identifier.issn2405-8963
dc.identifier.issue30en_US
dc.identifier.scopus2-s2.0-84964296205
dc.identifier.scopusqualityQ3
dc.identifier.startpage149en_US
dc.identifier.urihttps://doi.org/10.1016/j.ifacol.2015.12.369
dc.identifier.urihttps://hdl.handle.net/20.500.12587/6257
dc.identifier.volume48en_US
dc.identifier.wosWOS:000375855300026
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Bven_US
dc.relation.ispartofIfac Papersonline
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOrthogonal Learningen_US
dc.subjectArtificial Bee Colonyen_US
dc.subjectPerformance Indicesen_US
dc.subjectPower System Stabilizeren_US
dc.titleRobust Tuning of Power System Stabilizer by Using Orthogonal Learning Artificial Bee Colonyen_US
dc.typeConference Object

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