Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/62559
DC FieldValue
dc.titleOptimal multiobjective SVC planning for voltage stability enhancement
dc.contributor.authorChang, C.S.
dc.contributor.authorHuang, J.S.
dc.date.accessioned2014-06-17T06:52:23Z
dc.date.available2014-06-17T06:52:23Z
dc.date.issued1998
dc.identifier.citationChang, C.S.,Huang, J.S. (1998). Optimal multiobjective SVC planning for voltage stability enhancement. IEE Proceedings: Generation, Transmission and Distribution 145 (2) : 203-209. ScholarBank@NUS Repository.
dc.identifier.issn13502360
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/62559
dc.description.abstractThe authors present a scheme of hybrid optimisation using parallel simulated annealing and a Lagrange multiplier for optimal SVC planning. Aiming for voltage stability enhancement, the proposed scheme is posed as a multiobjective optimisation problem for maximising a fuzzy performance index, which represents the system reactive power (VAR) margin, system I2R losses and voltage depressions at critical points. To ensure robustness, the paper proposes a four-step procedure for synthesising optimal VAR reinforcement. © ICE, 1998.
dc.sourceScopus
dc.subjectCritical fuy performance index
dc.subjectLagrange multiplier
dc.subjectOptimal SVCplacement
dc.subjectParallel simulated annealing
dc.subjectVoltage stability enhancement
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleIEE Proceedings: Generation, Transmission and Distribution
dc.description.volume145
dc.description.issue2
dc.description.page203-209
dc.description.codenIGTDE
dc.identifier.isiutNOT_IN_WOS
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