Genetic algorithm optimization for AGC of multi-area power systems

Abstract

A genetic algorithm (GA) for parameter optimization of PID sliding mode load frequency control used in automatic generating control (AGC) of multiarea power systems with nonlinear elements has been proposed. The method has the advantages of both PID and sliding mode control. Instead of using a traditional analysis algorithm to obtain the controller parameters, GA optimization technology is introduced. PID parameter optimization for the interconnection of the AGC loops using MATLAB/Simulink model is developed. A real coded genetic algorithm is adopted and integrated into MATLAB/Simulink. The simulation of a two-area power system with PI and PID controllers is reported and the results are reasonable.