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, KP and interval gain, KI. Validation with respect to eigenvalues determination and synchronizing and damping torque coefficients (KS and KD) value confirmed that the proposed technique is effective to improve the angle stability problem.