ROBUST FUZZY-PID CONTROLLER TO ENHANCE LOW FREQUENCY OSCILLATION USING IMPROVED PARTICLE SWARM OPTIMIZATION

This paper presents a new improved from particle swarm optimization to tune optimal rule-base of a Fuzzy Proportional Integral Differential (FPID) which leads to damp low frequency oscillation following disturbances in power systems, while called Particle Swarm Optimization with Time Variant Acceleration Coefficient (PSO-TVAC). Thus, extraction of an appropriate set of rules or selection of an optimal set of rules from the set of possible rules is an important and essential step toward the design of any successful fuzzy logic controllers. Consequently, in this paper, a PSOTVAC based rule generation method is proposed for automated fuzzy PID design to improve power system stability and reduce the design effort. The effectiveness of the proposed method is demonstrated on a four-machine 2-area standard power system in comparison with the other heuristic algorithms and classical Power System Stabilizer (CPSS) under different loading condition through some performance indices.