Integration design of fuzzy system using genetic algorithm for improvement of voltage profile with Static VAR compensator

E. Saeidpour, M. Abedi, V.S. Parizy
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引用次数: 2

Abstract

This paper proposed control of static VAR compensator (SVC) for improvement of voltage profile with fuzzy controller that tuned with genetic algorithm. Our method integrated two design stages; determinations of membership function and rules consequent parameters, because these stages may not be independent, it's important to consider them simultaneously to obtain optimal fuzzy systems. We present new method for insert genetic algorithm into fuzzy controller designation for non-linear and variable system. System equation is non-linear and not-clear and we can't use usual method for designation. We used from MATLAB simulator, for our simulations.
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基于遗传算法的模糊系统改进与静态无功补偿的集成设计
本文提出了用遗传算法调谐的模糊控制器来控制静态无功补偿器(SVC)以改善电压分布。我们的方法集成了两个设计阶段;隶属函数和规则后续参数的确定,由于这些阶段可能不是独立的,因此同时考虑它们对于获得最优模糊系统是很重要的。提出了将遗传算法引入非线性变量系统模糊控制器设计的新方法。系统方程是非线性的、不清晰的,不能用通常的方法来表示。我们使用了MATLAB模拟器进行模拟。
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