Design of GA optimized fuzzy logic-based PID controller for the two area non-reheat thermal power system

Load Frequency Control (LFC) in power systems is very important in order to supply reliable electric power with good quality. The investigated power system comprises of two non-reheat type thermal units of same capacity in two areas. This paper proposes a new optimization approach of a fuzzy logic based-PID (FLPID) controller by the Genetic Algorithm (GA) for LFC. The GA is applied to simultaneously tune PID gains and scale factors of Fuzzy Logic controller to minimize frequency deviations of the system against load disturbances. The dynamic response of the load frequency control problem are studied using MATLAB^® / Simulink^® software in the three different scenarios also the proposed FLPID is compared with Bacterial Foraging Optimization Algorithm (BFOA-PID) and Gravitational Search Algorithm (GSA-PID). Simulation results explicitly show that the performance of the proposed optimum FLPID controller is superior to the BFOA-PID controller and the GSA-PID controller in terms of the overshoot, settling time and robustness against load disturbances.