Genetic Algorithm Based Tuning of Pid Power System Stabilizers

This paper proposes a genetic algorithm based method to tune the parameters of a proportional plus integral plus derivative (PID) power system stabilizer (PSS). A classical parameter optimization approach is integrated within the genetic search process. To assess the quality of system dynamic performance a quadratic performance index is adopted within the tuning process. To enhance the overall performance of the system under small perturbations, a set of operating points is considered within the objective function. The solution thus obtained is globally optimal and robust. Realization of the genetic algorithm based PID-PSS is carried out in discrete-time domain and the effect of sampling period on PSS parameter tuning has been examined. Dynamic performances with PID-PSS tuned using the proposed method have been compared with a lead-lag type PSS similarly designed. The designed systems were tested for different load conditions and found to be satisfactory.