Application of JAYA Algorithm to Tune Fuzzy-PIDF Controller for Automatic Generation Control

M. Debnath, J. Padhi, Priyambada Satapathy, R. Mallick
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引用次数: 3

Abstract

Fuzzy-PID controller with derivative filter (Fuzzy-PIDF) is suggested in this article for automatic generation control in a two area multi-unit hydro-thermal system. The controller scaling coefficients are tuned with a simple and a new powerful optimization technique called JAYA algorithm. Integral time absolute error (ITAE) is used as a fitness function to achieve the optimal parameters of the Fuzzy-PIDF controller with an abrupt load disturbance of 0.01p.u. applied in area 1. Further, this controller is scrutinized for robustness by increasing the loading in the system. The dynamic responses of this implemented controller being optimized by JAYA algorithm are evaluated and compared with the results of previously published article such as hybrid firefly algorithm and pattern search technique based PID controller in terms of peak undershoot, overshoot and settling time and supremacy is proved.
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JAYA算法在模糊pid控制器自动生成控制中的应用
本文提出了一种带导数滤波的模糊pid控制器(Fuzzy-PIDF),用于两区多机组热水系统的自动发电控制。控制器的尺度系数采用一种简单而强大的优化技术JAYA算法进行调整。采用积分时间绝对误差(ITAE)作为适应度函数,对负载突变扰动为0.01p.u时模糊pid控制器的最优参数进行求解。应用于区域1。此外,该控制器通过增加系统中的负载来检查其鲁棒性。利用JAYA算法对所实现的控制器的动态响应进行了评价,并与基于混合萤火虫算法和基于模式搜索技术的PID控制器在峰值欠调、超调和沉降时间方面的结果进行了比较,证明了该控制器的优越性。
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