Optimal design and implementation of fuzzy fractional order PID controller for AGC study

To deliver good quality of electric power to the consumers in an interconnected power system automatic generation control (AGC) shows a significant role. Hence in this paper, a novel Fuzzy Fractional Order Proportional-Integral (FFOPI) controller is proposed for AGC of two equal area multi source power system. The effectiveness of the proposed controller is established by comparing its performance with that of Proportional-integral-Derivative (PID), and Fuzzy-PI controllers. The gain parameters of the controllers are tuned by using an efficient optimization technique called Symbiotic Organism Search (SOS) optimisation Algorithm. Integral Time Absolute Error (ITAE) is used as the objective function for reducing the Area Control Error (ACE) in the optimisation process. Further, the robustness of the recommended controller is justified by inserting a random load in area-1. Hence, to supply reliable and quality electricity, the designed controller is found to be better and more efficient.