Optimized Automatic Generation Control Using Single and Multi-Objective Hybrid Genetic Differential Evolution Technique

摘要

This paper presents the optimization of proportional integral derivative (PID) gain parameters through both single and multi objective Hybrid Genetic Differential Evolution (HGDE) technique for automatic generation control scheme. The controls are implemented for 0.1 load disturbance in area1only and computed with sum of absolute value of ith area control error at time t as objective functions. While employing multi objective HGDE optimization techniques, best compromise solution of the corresponding PID parameters are obtained based on fuzzy membership function assignment technique. Furthermore to show the superiority of the suggested method comparison analysis is done with GA-PID and DE-PID optimizing techniques and according the obtained result HGDE is getting better in achieving lesser settling time, undershoot and overshoot.