Application of Evolution Algorithm in Power System Control Design

Power system controller design based on an evolutionary algorithm called population based incremental learning (PBIL) is proposed in this paper. The problem of controller design is transformed into an optimization problem and the parameters of the controller are determined via PBIL. The proposed method has the advantage that it is simpler, faster and more efficient than both the classical trial and error approach of designing PSS and the genetic algorithms (GAs). The PBIL-PSS is compared with the GA-PSS. Simulation results show that PBIL-PSS is more effective than GA-PSS in damping the system's oscillations.