Effect of parameter tuning of differential evolution on PID controller for automatic generation control of a hybrid power system in deregulated environment

Abstract

Differential evolution (DE) is one of the most powerful evolutionary algorithm that has been extensively used by various researchers for global optimization of complex engineering problems. Selection of algorithm control parameter plays a vital role in the efficient performance of differential evolution algorithm. However, choice of control parameters for optimum performance varies from problem to problem. In this work a parametric study of differential evolution tuned PID controller for automatic generation control of a restructured hybrid power system is presented. Gain parameters of PID controller Kp, Ki, Kd are tuned by Integral Square Error (ISE) control strategy. Analysis of results obtained shows that improper choice of control parameters considerably hampers the performance of the algorithm. MATLAB/SIMULINK platform is used for modeling and simulating the test system.