Computational intelligence approach for SVC-PID controller in angle stability improvement

This paper presents a new optimization approach for tuning conventional PID controller parameters of a static var compensator (SVC) which controls a synchronous machine. SVC is designed and implemented to improve the damping of a synchronous generator. Particle Swarm Optimization (PSO) method based PID controller using SVC is implemented in this study. The study involves the optimization of proportional gain, K_P, interval gain, K_I and derivative gain, K_D of PID controller. Validation with respect to eigenvalues determination and damping ratio confirmed that the proposed technique is effective to improve the angle stability problem.