Design of fuzzy-PID controller with derivative filter and its application using firefly algorithm to automatic generation control

M. Debnath, J. Padhi, Priyambada Satapathy, R. Mallick
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引用次数: 5

Abstract

In this study we introduced a heuristic and powerful optimization technique called firefly algorithm to tune the coefficients of fuzzy-PID controller along with derivative filter (FPIDF) for the frequency control of a unified power system with thermal non-reheat type turbine. The response of system is observed under Step Load Perturbation (SLP) of 10% in area 1. The frequency stability analysis is carried on two phases. In the first case the system responses are analyzed by giving a perturbation of 10% in area 1 and in later case the system load is increased by 10% for verifying its robustness. The dynamic response of the FPIDF controllers are observed in terms of minimum undershoots, settling time and maximum overshoots. Further the results obtained by this established method are also compared with those of Bacteria Foraging Optimization (BFO) tuned PI controller and Hybrid BFO-PSO tuned PI controller which are published in previous journals.
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带导数滤波器的模糊pid控制器设计及萤火虫算法在自动生成控制中的应用
本文介绍了一种启发式的、功能强大的优化技术——萤火虫算法,结合导数滤波器(FPIDF)对模糊pid控制器的系数进行整定,用于带热力非再热式汽轮机的统一电力系统的频率控制。在区域1的阶跃载荷摄动(SLP)为10%时,观察了系统的响应。在两个相位上进行频率稳定性分析。在第一种情况下,通过在区域1中给出10%的扰动来分析系统响应,在后一种情况下,系统负载增加10%以验证其鲁棒性。从最小欠调、稳定时间和最大超调三个方面观察了FPIDF控制器的动态响应。并将所建立的方法与已有的细菌觅食优化(BFO)调谐PI控制器和BFO- pso混合调谐PI控制器的结果进行了比较。
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