Optimal PID Tuning of Power System Stabilizer for Multi-machine Power System using Particle Swarm Optimization

This paper presents an application of the artificial intelligent search technique to find parameters optimization of power system stabilizer (PSS) considering proportional-integral-derivative controller (PID) for a multi-machine power system. Gain settings of PID - PSS which improve damping frequency of system are optimized by minimizing an objective function using the artificial intelligent search technique, Particle Swarm Optimization (PSO). Four machines power system is used to reveal the effectiveness of purpose method. At the same operating point, the PID - PSS parameters are also tuned by the Ziegler-Nichols method. The performance of proposed controller compared to the conventional Ziegler-Nichols PID tuning controller. The results reveal superior effectiveness of the proposed PSO based PID controller.