Designing a Robust Controller for Power System Stabilizer by Using Quantum Invasive Weed Optimization Algorithm

In this paper, we propose a new optimized PID controller to stabilize the synchronous machine connected to an infinite bus. The model for the synchronous machine is 4-ordered linear Philips-Heffron synchronous machine. In this research, the parameters of the PID controller are optimally achieved by minimizing a definite fitness function to removes the unstable Eigen-value to the left side of imaginary axis. The considered parameters for the controller are achieved by employing a new defined, World Cup Optimization algorithm. After applying the proposed controller, it is compared by the particle swarm optimization as a popular and high performance algorithm. Here, controller is obtained for all operating points. Final results show that the using World Cup Optimization algorithm has a better performance toward the compared particle swarm optimization.