Optimal Tuning of Fuzzy Logic Static VAR Compensator using Particle Swarm Optimization for Damping Power oscillations

This paper presents an application of fuzzy control to determine the supplementary signal of static VAR compensator (SVC) for improvement of power system stability and enhancement of low frequency oscillations damping. The proposed controller for the SVC is based on fuzzy logic (FL) and is optimized by particle swarm optimization algorithm (PSO). The input signals for the fuzzy logic controller are chosen as deviation in generator speedand active power. Since the SVC is in a distance from the generator, it is assumed that the proper input signals are measured and transmitted to the SVC location using WAMS technology and PMUs. The output of SVC is changed based on these two signals. PSO optimizes scaling factors for the input signals as well as the output signal. The effectiveness and performance of the proposed controller is demonstrated by the simulation of a single machine infinite bus test system.