Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/72661
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dc.titleGenetic algorithm tuning of fuzzy SVC for damping power system inter-area oscillations
dc.contributor.authorChang, C.S.
dc.contributor.authorYu, Q.Z.
dc.contributor.authorLiew, A.C.
dc.contributor.authorElangovan, S.
dc.date.accessioned2014-06-19T05:10:35Z
dc.date.available2014-06-19T05:10:35Z
dc.date.issued1998-02
dc.identifier.citationChang, C.S.,Yu, Q.Z.,Liew, A.C.,Elangovan, S. (1998-02). Genetic algorithm tuning of fuzzy SVC for damping power system inter-area oscillations. IEE Conference Publication (450) : 509-514. ScholarBank@NUS Repository.
dc.identifier.issn05379989
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/72661
dc.description.abstractA scheme using fuzzy logic control (FLC) is proposed to form a supplementary damping loop for the Static Var Compensator (SVC) to increase the transmission capacity. Design of the FLC supplementary loop is based on transient energy analysis for damping a certain mode of inter-area oscillations. A genetic algorithm (GA) is used to tune the rules and membership functions needed in the FLC scheme. Simulation results have shown considerable damping improvements from the proposed schemes in the study system during the postfault period.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleIEE Conference Publication
dc.description.issue450
dc.description.page509-514
dc.description.codenIECPB
dc.identifier.isiutNOT_IN_WOS
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