Abstract: Automatic Generation Control (AGC) plays very important role in power system automation, design, operation and stability. In this paper, we propose the hybrid Particle Swarm Optimization and Genetic Algorithm (hPSO-GA) method to obtain the Proportional-Integral-Derivate (PID) controller parameters for AGC of four-area interconnected hydro thermal power system. The hydro and thermal areas are comprised with an electric governor and reheat turbine, respectively. Also, 1% step load perturbation has been considered occurring in any individual area. This power system with the proposed approach is simulated in MATLAB/SIMULINK and the responses of frequency and tie-line power deviation for each area compared with PSO and GA. The simulation results show that proposed hPSO-GA based PID controller achieves better responses than PSO and GA based PID controllers.
Keywords: Automatic Generation Control (AGC), Genetic Algorithm (GA), hPSO-GA, Multi-area power system, Particle Swarm Optimization (PSO)
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