Design of A Self-Tuning Adaptive Power System Stabilizer

Abstract

Power system stabilizers (PSSs) must be capable of providing appropriate stabilization signals over a<br />broad range of operating conditions and disturbances. The main idea of this paper is changing a<br />classic PSS (CPSS) to an adaptive PSS using genetic algorithm. This new genetic algorithm based on<br />adaptive PSS (GAPSS) improves power system damping, considerably. The controller design issue is<br />formulated as an optimization problem that is solved by GA to identify PSS parameters in various<br />operating conditions. Numerical simulation studies have been done on a modified model of IEEE<br />second benchmark. The consequence of these studies shows that, the performance of the suggested<br />genetic algorithm based adaptive PSS in damping of electromechanical oscillations of power system is<br />better than CPSS.