重力搜索算法(GSA)优化了多区域互联电力系统负荷频率模糊pid控制器设计

M. Debnath, R. Mallick, Sahasranshu Das, A. Aman
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引用次数: 5

摘要

利用重力搜索算法优化模糊pid控制器,研究了两区互联再热系统的负荷频率控制问题。以积分时间绝对误差(ITAE)为目标函数,提供1%的阶跃负载摄动(SLP)来优化模糊pid控制器的增益。采用GSA和PSO优化模糊pid控制器对系统的动态性能进行了分析。与最近发表的结果相比,所提出方法的优越性体现在沉降时间、峰值超调和欠调方面。进一步通过改变系统负载证明了系统的鲁棒性。
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Gravitational search algorithm (GSA) optimized fuzzy-PID controller design for load frequency control of an interconnected multi-area power system
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.
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