OPTIMAL PID POWER SYSTEM STABILIZER TUNING VIA ARTIFICIAL BEE COLONY

This paper presents a hybrid Proportional Integral Differential (PID) and Power System Stabilizer (PSS) controller based Artificial Bee Colony (ABC) techniques to damp low frequency oscillation. The recent studies in artificial intelligence demonstrated that the ABC optimization is strong intelligent method in complicated stability problems. The optimal PID and PSS parameters are applied on a Single-Machine Infinite-Bus (SMIB). The nonlinear problem formulated as an optimization problem for wide ranges of operating conditions using the ABC algorithm. The simulation results illustrate the effectiveness, good robustness and validity of the proposed method through some performance indices such as ITAE, FD, IAE, Ts, ISE and eignvalues under wide ranges operating conditions in comparison with PSO-TVAC, PSO-TVIW and classical PSO techniques. The results of tuning and installing the PID power system stabilizers by ABC strategic on SMIB shows that damping is improved significantly in the system and has better outperforms than the other algorithms.