Optimal Design of PID Controller for Improving Rotor Angle Stability using BBO

Abstract In this paper a novel method based on the Biogeographical Based Optimization (BBO) Algorithm is presented for tuning Proportional Integral derivative (PID) controller and Power System Stabilizer (PSS) parameters. The proposed method minimizes rotor angle deviation by optimally tuning the PID controller and PSS parameters. This objective can be achieved by minimizing the corresponding Integral Square Error (ISE) and Integral Time Absolute Error (ITAE) of the rotor angle deviation during various disturbances. The effectiveness of BBO is tested on a Single Machine Infinite Bus (SMIB) system and the results are compared with BBO based PID (BBO-PID), BBO based Power System Stabilizer (BBO-PSS) and the Conventional Power System Stabilizer (CPSS). Results evaluation show that BBO-PID controller achieves robust performance for wide range of system operating conditions when compared to that of other two stabilizers.