APPLICATION OF PSO FOR FUZZY LOAD FREQUENCY DESIGN WITH CONSIDERING SUPERCONDUCTING MAGNETIC ENERGY STORAGE

In this paper, a fuzzy PID type controller with considering Superconducting Magnetic Energy Storage (SMES) is proposed for solution of the Load Frequency Control (LFC) problem. In order for a fuzzy rule based control system to perform well, the fuzzy sets must be carefully designed. A major problem plaguing the effective use of this method is the difficulty of accurately constructing the membership functions. For this reason, in the proposed Multi Stage Fuzzy (MSF) type PID controller, the membership functions are tuned automatically using a Particle Swarm Optimization (PSO) algorithm with a strong ability to find the most optimistic results. This newly developed control strategy combines the advantage of SMES and fuzzy system control technique and leads to a flexible controller with simple stricture that is easy to implement. Analysis on a threearea restructured power system reveals that the proposed control strategy by considering SMES unit improves significantly the dynamical performances of system against parametric uncertainties for a wide range of area load demands and disturbances.