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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Application of Multi-objective Evolutionary Algorithm in Coordinated Design of PSS and SVC Controllers
verfasst von : Zhenyu Zou, Quanyuan Jiang, Pengxiang Zhang, Yijia Cao
Erschienen in: Computational Intelligence and Security
Verlag: Springer Berlin Heidelberg
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A multi-objective evolutionary algorithm (MOEA) based approach to Power System Stabilizer (PSS) and Static Var Compensators (SVC) tuning has been investigated in this paper. The coordinated design problem of PSS and SVC is formulated as a multi-objective optimization problem, in which the system response is optimized by minimizing several system-behavior measure criterions. MOEA is employed to search optimal controller parameters.Design of the multi-objective optimization aims to find out the Pareto optimal solution which is a set of possible optimal solutions for controller parameters. And effectiveness of the proposed control scheme has been demonstrated in a multiple power system.