Hybrid DE-PSO optimized fuzzy-PID controller for Automatic Generation Control of a two area multi-unit power system

M. Debnath, Sabita Tripathy, R. Mallick
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引用次数: 3

Abstract

This research article discuss about the optimal fuzzy-PID controller tuned by hybrid differential evolution-particle swarm optimization (DEPSO) for automatic generation control of a two area multi-unit interconnected power system. Here the scaling parameters of the suggested controllers are tuned considering a step load perturbation (SLP) of 0.01p.u. in the area1.In each area of the scrutinized system three thermal units with reheat steam turbines and hydraulic amplifiers are considered where two distinct fuzzy-PID controllers are employed for automatic generation control. The dynamic behavior of the system is examined for various optimization methods and the supremacy of the suggested hybrid DEPSO method is established in terms of various time domain specifications like peak overshoots, undershoots and settling time. Later the robustness and sensitiveness of the proposed method is also established considering increased loading of the system.
混合DE-PSO优化模糊pid控制器用于两区多机组电力系统自动发电控制
本文研究了基于混合微分进化-粒子群优化(DEPSO)的最优模糊pid控制器,用于两区多机组互联电力系统的自动发电控制。在这里,考虑到阶跃负载摄动(SLP)为0.01p.u,所建议控制器的缩放参数进行了调整。在这个地区。在被审查系统的每个区域考虑三个带再热汽轮机和液压放大器的热机组,其中采用两个不同的模糊pid控制器进行自动发电控制。研究了各种优化方法对系统的动态特性的影响,并从峰值超调、欠调和稳定时间等多个时域指标出发,证明了所提出的混合DEPSO方法的优越性。在考虑系统载荷增加的情况下,验证了该方法的鲁棒性和灵敏度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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