Power System Stabilizer model based on Fuzzy-PSO for improving power system stability

This paper proposed a Power System Stabilizer model based on Fuzzy-PSO for improving power system stability. Power System Stabilizer (PSS) is a device that can be used to enhance the damping of power system during low frequency oscillations. In multi-machine power systems, the PSS parameter tuning is a complex exercise due to the presence of several poorly damped modes of oscillation. The problem is further being complicated by continuous varied in power system operating conditions. In order to enhance the performance of PSS, the combination of fuzzy logic and particle swarm optimization (PSO) method is used in this study. Simulations were carried out using several fault tests at transmission line on a two-area multi-machine power system. In this work, Delta w PSS and Delta Pa PSS has been used for comparison with the fuzzy-PSO PSS. The result shows that power transfer response using the fuzzy-PSO PSS is more robust than Delta w PSS and Delta Pa PSS, especially for three phase faults and phase to ground faults.