Tunning of FLC using GA&PSO for Wind Generation System

Various experiments has been performed in variable wind generation system using different soft computing techniques in order to get maximum output power. A fuzzy system has a characteristic to represent human knowledge or experiences as fuzzy rules. However, the fuzzy system has some problems. In most fuzzy systems, the shapes of the membership functions of the antecedent, the consequent, and fuzzy rules were determined and tuned through trial and error by operators, therefore, it takes a lot of time to determine and tune them, and it is very difficult to design the optimal fuzzy system in detail. This problem is more serious when the fuzzy system is applied for more complex systems. In order to solve this problem, some self-tuning methods have been proposed using the meta heuristic (Particle Swarm Optimization and Genetic Algorithm). The effectiveness of the proposed controller is demonstrated by the control performance of such an FLC of a wind generation system. The results are compared favourably to GA with PSO for better exploration of search space.