Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/72661
Title: Genetic algorithm tuning of fuzzy SVC for damping power system inter-area oscillations
Authors: Chang, C.S. 
Yu, Q.Z.
Liew, A.C. 
Elangovan, S. 
Issue Date: Feb-1998
Citation: Chang, 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.
Abstract: A 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.
Source Title: IEE Conference Publication
URI: http://scholarbank.nus.edu.sg/handle/10635/72661
ISSN: 05379989
Appears in Collections:Staff Publications

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