Design of A Self-Tuning Adaptive Power System Stabilizer

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