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Function based hybrid-fuzzy genetic controller for VSI based STATCOM

机译:基于VSI的STATCOM的基于函数的混合模糊遗传控制器。

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In this paper a variable structure fuzzy Pi-genetic control scheme is proposed for a Voltage Source Inverter based STATCOM in damping the electro-mechanical oscillations of a power system. The function based Takagi-Sugeno-Kang (TSK) fuzzy controller uses two rules and generates the proportional action which, by one-to-two mapping, gives a variable gain PI controller. This single-input, function based fuzzy controller, dispenses the gain dependency of the proportional or integral gains and generates independent controls. To demonstrate the application of the proposed controller, a case study is done with a single and multimachine power system operating with STATCOM. Further, Genetic Algorithm (GA) is used to tune the parameters of the analytical fuzzy PI controller for optimal damping performance. Computer simulation results clearly reveal the superior performance of the proposed controller. A comparison is also made with a two-input fuzzy controller using four rules instead of just two as in the single input case.
机译:本文提出了一种基于STATCOM的电压源逆变器的变结构模糊Pi遗传控制方案,以抑制电力系统的机电振荡。基于函数的Takagi-Sugeno-Kang(TSK)模糊控制器使用两个规则,并产生比例作用,该比例作用通过一二映射来提供可变增益PI控制器。这种基于功能的单输入模糊控制器,分配比例或积分增益的增益依赖性,并生成独立的控制。为了演示所提出的控制器的应用,对以STATCOM运行的单机和多机电源系统进行了案例研究。此外,遗传算法(GA)用于调整分析型模糊PI控制器的参数,以实现最佳的阻尼性能。计算机仿真结果清楚地表明了所提出控制器的优越性能。还使用两个输入模糊控制器进行了比较,该控制器使用四个规则,而不是单个输入情况下的两个规则。

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