Bat algorithm optimized SVC for power system stability enhancement

In this paper, artificial intelligent approaches like Bacteria Foraging Optimization (BFO) and Bat Algorithm (BA) have been used for optimizing gains of proportional-integral-derivative (PID) controller that is being incorporated with Static Var Compensator (SVC) in a single machine infinite bus (SMIB) system. The proposed techniques optimize the parameters of PID controller to ensure improvements in system stability. The performance and robustness of SVC controller is tested under different controllers like conventional PID, BA-PID and BFO-PID under varying operating conditions. It is observed graphically as well as quantitatively that BA-PID controller outperforms over BFO-PID controller under different operating conditions.