AGC using Particle Swarm Optimization based PID controller design for two area power system

This paper aim to a design of Proportional-Integral-Derivative (PID) controllers for two area power system with variation in the load. Currently, PID controller has been used to control in two area power system. The issue of tuning parameter and design a PID controller adaptive, efficiently and robust is still open. This paper presents an improved PID gain by Particle Swarm Optimization (PSO) Algorithm. The Automatic Generation Control (AGC) has been developed for two area power system using PSO based PID controller. The two control signals are thus developed by a PSO based PID controller, which are fed one to each area for frequency response enhancement. The errors between desired frequency response and real frequency response are computed by using the Mean Square Error (MSE). Simulation and comparison result shows that Automatic Generation Control of the two area power system with PSO based PID controller help to achieve the frequency response at the scheduled value with load change.