Improvement Damping Power System by using UPFC and Tuning Controller Parameter base on a New PSO Algorithm

In this paper, a new method is presented to improve the dynamic stability of the power systems using unified power flow controller (UPFC). In this method, an adaptive particle swarm optimization (PSO) algorithm based on new acceleration coefficients (NAC-PSO) is proposed for solving optimization problems and tuning the controller parameters. The performance of the proposed algorithm is compared with other methods. The simulation results show that the Lyapunov controllers designed using NAC-PSO performed better than controllers designed by other methods. This method guarantees the stability of the power system against the parameters and topology changes. Simulation results for a single-machine infinite-bus (SMIB) and multi-machine power system (IEEE 9-bus) show the effectiveness of the proposed method under small-signal conditions.