Optimal PID tuning for AGC system using Adaptive Tabu Search

This paper presents an application of the intelligent search technique for the parameters optimization of conventional automatic generation control (AGC) systems. An efficient intelligent search technique, which is Adaptive Tabu Search (ATS), is employed to demonstrate the effectiveness of the intelligent search techniques in the tuning of the AGC parameters. A two-area non-reheat thermal system is considered to be equipped with PID controllers to depict the optimum parameter search. Parameters of these PID controllers are obtained using Adaptive Tabu Search technique. The same parameters are also turned using the Ziegler-Nichols method. The performance of the proposed controller has been evaluated with the performance of the conventional integral controller and the conventional Ziegler-Nichols PID tuning controller in order to demonstrate the superior efficiency of the proposed ATS based PID controller. By comparison with the conventional technique, the effectiveness of the anticipated. scheme is confirmed.