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Gravitational search algorithm (GSA) optimized fuzzy-PID controller design for load frequency control of an interconnected multi-area power system

机译:重力搜索算法(GSA)优化的Fuzzy-PID控制器设计,用于互连多区域电力系统的负载频率控制

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This paper focuses on the load frequency control of two area interconnected reheat thermal system with fuzzy-PID controller optimized by gravitational search algorithm (GSA). The gains of the fuzzy-PID controllers are optimized by providing a step load perturbation (SLP) of 1% to area 1 in consideration of integral time absolute error (ITAE) as the objective function. The dynamic performances of the system are being analyzed with GSA and PSO optimized fuzzy-PID controllers. The supremacy of the proposed method is depicted in terms of settling time, peak overshoots and undershoots in comparison with a recently published results. Further the robustness of the system is proved by changing the system loading.
机译:通过重力搜索算法(GSA)优化的模糊PID控制器,研究了两区域互联再热系统的负荷频率控制。通过将积分时间绝对误差(ITAE)作为目标函数,对区域1提供1%的步进负载扰动(SLP),可以优化Fuzzy-PID控制器的增益。正在使用GSA和PSO优化的Fuzzy-PID控制器分析系统的动态性能。相对于最近发表的结果,在建立时间,峰值过冲和下冲方面描述了所提出方法的优越性。通过更改系统负载进一步证明了系统的鲁棒性。

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