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

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.