Damping Power System Oscillations using Fuzzy based Power System Stabilizer with Seven and Nine Linguistic Variables

Abstract

Low-frequency oscillations are created in a power system due to insufficient damping. Low-frequency oscillations in a power system can be damped using conventional power system stabilizer (CPSS) or fuzzy-based power system stabilizer (FLPSS). The performance of FLPSS is significantly affected by the number of linguistic variables used in designing FLPSS. In this paper, FLPSS is designed to damp the low frequency oscillations in a power system. The novelty of the work presented in the paper is that the effectiveness of FLPSS in damping the low-frequency oscillations is evaluated with seven and nine linguistic variables. Single machine connected to infinite bus (SMIB) system is subjected to small and large signal disturbances and the effect of the disturbance is analyzed with FLPSS having nine and seven linguistic variables. The significance of linguistic variable selection is highlighted by comparing the performance of CPSS, FLPSS with seven and nine linguistic variables.

Keywords: Small signal stability, linguistic variables, small signal disturbance, conventional power system stabilizer, fuzzy logic power system stabilizer