Mitigation of SMIB Oscillations Using PSS Based on Particle Swarm Optimization Algorithm

Abstract

In this paper a technique dependent on Particle Swarm Optimization (PSO) calculation is exhibited to find the ideal parameters of Power System Stabilizer (PSS), instead of classical control approaches. A fitness function based on Critical Damping Index (CDI) has been used as an optimization problem to get the PSS optimal parameters. PSS controller combined with Single Machine Infinite Bus (SMIB) system is used in order to mitigate any oscillations occurred in the system. The eigenvalues and damping ratios for the electromechanical modes have been calculated and tabulated for different cases of operation using MATLAB/SIMULINK. All simulation outputs proved that the capability of the PSS based on PSO in mitigation the system oscillations is better than PSS based on conventional control methods. Also the results show that the electromechanical damping ratios increased from 2.2113% without PSS control to 20.58% for system with PSS based on conventional control method and to 65.94% for system with PSS based on PSO Algorithm. Also the settling time reduced to 4 seconds for system with PSS based on conventional control method and to 2 seconds for system with PSS based on PSO Algorithm. NEPLAN software has been used to prove the effectiveness, robustness, and validity of the designed PSS system based on PSO algorithm.