Integrated and Simultaneously Design for STATCOM Fuzzy Controller with Genetic Algorithm for Voltage Profile Improvement

The purpose of this paper is to implement a new method for designation of fuzzy logic controller for STATCOM to improve the voltage profile. Because of the importance of power quality in industrial bus bars when the loads are, numerous, the classic methods of control (because of inherent time delay) can not been used. Therefore the fuzzy controller has been developed to for compensation because of the fast and stable response to voltage alterations. Regarding the complexity of tuning of fuzzy controller, using the trial and error method to tune them is not acceptable; however the updated numerical methods should be used. The method of using the genetic algorithm for tuning of fuzzy controllers for systems with variant specific equation will be discussed in this paper. The genetic algorithm is a powerful calculative tool that can process the numerous dote (person) simultaneously and will not be trapped in local minima's and the optimum result will be achieved. The genetic algorithm can be used for design of fuzzy controllers as mentioned in following references and in nearly all of them the specific equation of the system was clearly defined and will not been changed, additionally will reveal a unique response in all conditions (stable or unstable). The tuning of fuzzy controllers has been developed offline using the MATLAB software.