Neuro stabilizing control based on Lyapunov method for power system

Abstract

This paper develops a nonlinear stabilizing method for power systems. As one such method, we consider neuro stabilizing control based on the Lyapunov method. In this method, we improve particle swarm optimization to reduce the probability of the population of solutions entrapped into local optima. We also reconstruct the Lyapunov function to satisfy Lyapunov stability conditions easily.