首页> 外文会议>International Conference on Computational Intelligence and Security(CIS 2005) pt.1; 20051215-19; Xi'an(CN) >Application of Multi-objective Evolutionary Algorithm in Coordinated Design of PSS and SVC Controllers
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Application of Multi-objective Evolutionary Algorithm in Coordinated Design of PSS and SVC Controllers

机译:多目标进化算法在PSS和SVC控制器协调设计中的应用

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摘要

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.
机译:本文研究了一种基于多目标进化算法(MOEA)的电力系统稳定器(PSS)和静态无功补偿器(SVC)调整方法。 PSS和SVC的协调设计问题被表述为一个多目标优化问题,其中通过最小化几个系统行为度量标准来优化系统响应。使用MOEA搜索最佳控制器参数。多目标优化的设计旨在找出帕累托最优解,这是一组针对控制器参数的可能最优解。所提出的控制方案的有效性已在多电源系统中得到证明。

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