Design of A Self-Tuning Adaptive Power System Stabilizer

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