Design of Proportional - Integral - Derivative controller using Ant Colony Optimization technique in multi-area Automatic Generation Control

This work investigates Automatic Generation Control and optimal gain setting of conventional controller for multi area interconnected reheat thermal power systems. Conventional Proportional – integral – Derivative (PID) controller is used for this investigation. Optimization of controller gain values are tuned by Integral Time Absolute Error (ITAE) traditional approach. The proposed work presents new Artificial Intelligence for tuning of controller gain values. The effectiveness and robustness of proposed technique is investigated with one percent step load perturbation in either area of the system with and without considering appropriate Generate Rate Constraint (GRC). Time domain analysis is used for the performance comparison and analysis for this work. Finally, simulation result reveals that new proposed AI based controller provide more superior response, when compared to conventional controller with and without considering the effect of non-linearity.