Stability Enhancement of Power System Using Type-2 Fuzzy Logic Power System Stabilizer

Power system stabilization is a major issue in the area of power systems research. The Conventional Power System Stabilizer (CPSS) parameters are tuned by using Genetic Algorithm to achieve proper damping over a wide range of operating conditions. The CPSS lack of robustness over wide range of operating conditions. In this paper type-2 Fuzzy Logic Power System Stabilizer (FLPSS) is presented to improve the damping of power system oscillations. To accomplish the best damping characteristics three signals are chosen as in put to FLPSS. Deviation in speed ( ), deviation of speed derivative ( ) and deviation of power angle ( ) are taken as input to fuzzy logic controller. The proposed controller is implemented for Single Machine Infinite Bus (SMIB) power system model. The efficacy of the proposed controller is tested over a wide range of operating conditions. The comparison between CPSS, Type-1 FLPSS and Type-2 FLPSS is presented. The results validate the effective ness of proposed Type-2 FLPSS controller in terms of less over/under shoot, settling time and enhancing stability over wide range of generator load variations.