Optimal tuning of power system stabilizer using genetic algorithm to improve power system stability

Abstract

In the few past decades, power system stabilizers play an important role in power systems by ensuring the stability of the single machine infinite bus power system. In this context, several researchers have devoted their work to design the structure of the PSS and to optimize its parameters. In this paper, the structure of the integrated PSS is described. In order to optimize the PSS parameters, the genetic algorithm approach is proposed, developed and used. The performance of the proposed optimization method was evaluated by applying a short circuit default on a single machine infinite bus power system. Different results demonstrated that the genetic algorithm is able to find the optimal parameters of the PSS ensuring the stability of the power system.