FUZZY RULE TABLE OPTIMIZATION OF POWER SYSTEM STABILIZER USING GENETIC ALGORITHM

Year 2017, Volume: 17 Issue: 2, 3489 - 3496, 27.07.2017

Murat Caner , Seydi Vakkas Üstün , Yüksel Oğuz

Abstract

This paper investigated the rule table optimization of fuzzy power system
stabilizer (FPSS) benefiting from rule basis of related previous studies. In
the previous studies, fuzzy rules for Power System Stabilizer (PSS) were
obtained by trial and error according to the experience of experts. There were
a few rule tables occurred in that way in the literature. In this subject
field, five rule tables with a few differences among them were taken. Genetic
algorithm (GA) was employed as an optimization method, and single machine
infinite bus (SMIB) model was used for simulation system. This work proposed to
contribute optimization performance of FPSS adding these rule tables to the
initial population of GA. Thus GAs reached an optimum solution more quickly. Simulation
studies and ITAE performance results for four loading conditions were shown. The
effectiveness of the proposed approach was discussed by comparing it with the
five rule tables.

Keywords

Power system stabilizer, optimization, fuzzy control, rule table, genetic algorithm

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