Improvement of Oscillation Damping in Power Systems by Fuzzy Logic Based Static VAR Compensator Stabilizer and Tuning Parameters with Genetic Algorithm

This paper presents the capability of a fuzzy logic based stabilizer used for generating the supplementary control signal to voltage regulator of static VAR compensator (SVC) for improving damping oscillations in power systems. Generator speed deviation and line active power were chosen as input signals for the fuzzy logic controller (FLC). The quantity of reactive power supplied/absorbed by SVC is determined based on the two input signal and deviation of terminal voltage at each sampling time. Also genetic algorithm is used to tune the membership functions needed in the FLC scheme and parameters of conventional controller simultaneously. The effectiveness and feasibility of the proposed control method are demonstrated by onemachine infinite-bus system. It has been observed that a robust controller is obtained with tuning conventional and FLC parameters by Genetic Algorithm.

Keywords:

Fuzzy logic controller (FLC) , genetic algorithm (GA) , power system dynamic stability , static VAR compensator (SVC)