An evolutionary algorithm approach to design SVC-PI controller for angle stability improvement

This paper presents Evolutionary Programming (EP) based optimization technique for estimating PI controller parameters of a static var compensator (SVC) which controls a synchronous machine. SVC is one type of Flexible AC Transmission Systems (FACTS) device, designed and implemented to improve the damping of a synchronous generator, as well as controlling the system voltage. This paper introduced Evolutionary Programming (EP) optimization method based SVC-PI controller. The study includes the placement of SVC with PI controller, while computational intelligence technique is used in optimizing the parameter values of PI controller: proportional gain, K_P and interval gain, K_I. Validation with respect to eigenvalues determination and synchronizing and damping torque coefficients (K_S and K_D) value confirmed that the proposed technique is effective to improve the angle stability problem.