Tuning of PSS and AVR using Genetic Algorithm to improve dynamic response of power system

ABSTRACT The application of genetic algorithm (GA) has been useful in the control area. Genetic algorithms can provide powerful tools for optimization. This paper demonstrates the use of GA to tune the parameters of a power system stabilizer(PSS) and Automatic Voltage Regulator (AVR). Also this study presents the optimal tuning of AVR and PSS parameters in single machine infinite bus system to improve the dynamic performance of the system when a small change in load occurs. AVR regulates the generator terminal voltage by controlling the amount of current supplied to the generator field winding by the exciter. PSS is installed with AVR to damp the low frequency oscillations in power system by providing a supplementary signal to the excitation system. GA is employed to search for optimal controller parameters for showing the effectiveness of the proposed controllers, normal loading condition is considered. Time domain simulations using single machine infinite bus system model are also carried out to demonstrate the effectiveness of the proposed scheme under the condition of small changes in load