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, KP, interval gain, KI and derivative gain, KD 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.