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Optimization of Fuzzy Controller of a Wind Power Plant Based on the Swarm Intelligence

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Document pages: 6 pages

Abstract: The article considers the problem of the optimal control of a wind powerplant based on fuzzy control and automation of generating the fuzzy rule base.Fuzzy rules by experts do not always provide a maximum power output of the windplant and fuzzy rule bases require an adjustment in the case of changing theparameters of the wind power plant or the environment. This research proposesthe method for optimizing the fuzzy rules base compiled by various experts. Themethod is based on balancing weights of fuzzy rules into the base by theParticle Swarm Optimization algorithm. The experiment has shown that theproposed method allows forming the fuzzy rule base as an exemplary optimal basefrom a non-optimized set of fuzzy rules. The optimal fuzzy rule base has beentaken under consideration for the concrete control loop of wind power plant andthe concrete fuzzy model of the wind.

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