APPLICATION OF PSO-TVAC TO IMPROVE LOW FREQUENCY OSCILLATIONS

A Particle Swarm Optimization with Time- Varying Acceleration Coefficients (PSO-TVAC) algorithm is proposed to design of the Power System Stabilizer (PSS) for improvement of power system low frequency oscillations in this paper. It has a strong ability to successful control the local search and convergence to the global optimum solution. The problem of robustly PSS parameter tuning is formulated as an optimization problem according to the time domain-based objective function for a wide range of operating conditions and is solved by the PSO-TVAC technique which is simple, robust and capable to solve difficult combinatorial optimization problems. The effectivness of the proposed method is tested on a Single-Machine Infinite-Bus (SMIB) power system through the nonlinear time domain simulation and some performance indices in comparison with the other version of PSO based tuned stabilizer and conventional PSS to illustrate its robust performance. Results evaluation confirm that the proposed stabilizer achieves good robust performance for wide range of system operation conditions and is superior to the other PSSs.