Power system stability enhancement using fuzzy logic based power system stabilizer

Abstract

In this paper a linearized Heffron-Philips model of a Single Machine Infinite Bus (SMIB) power system with a Fuzzy Logic Power System Stabilizer (FPSS) is developed for different membership functions. For FPSS, speed deviation and acceleration deviation are taken as inputs. Comparison of the effectiveness (steady state error, ess, overshoot (Mp) and settling time (ts) of FPSS for different membership functions with conventional PSS and without PSS is done. The performance of the SMIB system has improved significantly compared to SMIB system without PSS/with PSS. The results of the simulation show that for low frequency oscillations, FPSS is more effective in damping compared to conventional controllers. Further this paper investigates the design and implementation of a Reduced Rule Fuzzy Logic Power System Stabilizer (RLFPSS). A Reduced Rule Fuzzy Logic Power System Stabilizer for different membership functions is proposed. The effectiveness of the RLFPSS for different membership functions is illustrated with simulation carried out in MATLAB.