Automatic Generation Controller based on fuzzy PSO technique

In this paper, a Particle Swarm Optimization (PSO) based Multi Stage Fuzzy (PSOMSF) controller is proposed for the solution of Automatic Generation Control (AGC) problem in a restructured power system that operate under deregulation based on the bilateral policy scheme. In this strategy the control is tuned online from the knowledge base and fuzzy inference, which request fewer sources and has two rule base sets. In the proposed method, for achieving the desired level of robust performance, exact tuning of membership functions is very important. Thus, to reduce the design effort and find a better fuzzy system control, membership functions are designed automatically by PSO algorithm, that has a strong ability to find the most optimistic results. The effectiveness of the proposed method is demonstrated on a three area restructured power system with possible contracted scenarios under different operation conditions in comparison with Genetic Algorithm based fuzzy controller through the hybrid performance index.

Keywords:

AGC , Fuzzy Controller , PSO , Restructured Power System , Power System Control. Conference publication format , guide to authors