Optimal Fuzzy Logic Proportional Integral Derivative Controller Design by Bee Algorithm for Hydro-Thermal System

This article presents a method of designing a robust and optimal Fuzzy-Logic Proportional Integral Derivative (FLPID) controller for Automatic Generation Control (AGC) of a two area interconnected hydro-thermal system. In addition, an application of Bee Algorithm (BA) in order to design FLPID controllers is proposed in the article. Traditionally, Membership Functions (MF) and Control Rules (CR) of the Fuzzy Logic Controller (FLC) were achieved by trial and error methods by designers. In order to solve this problem, BA is proposed to concurrently tune PID gains, MF and CR of the FLPID controllers to minimize frequency deviations and tie-line power deviations of power systems. Simulation results clearly show that the performance and the robustness of the optimal FLPID controllers are superior to the conventional PID and the non-optimal FLPID controllers in terms of settling time, overshoot and Integral Absolute Error (IAE).