Abstract
In this paper, a gain scheduling technique using type-2 fuzzy logic system has been proposed for load frequency control in restructure power system. For this purpose, at first the particle swarm optimization algorithm has been employed to obtain proportional-integral-derivative controller gains at some nominal operating points; then, a multi-input multi-output type-2 fuzzy logic system is trained in order to provide a general mapping between the operating points and the related proportional-integral-derivative gains. In addition, the same particle swarm optimization algorithm has been used to train the multi-input multi-output type-2 fuzzy logic system. In the online applications, the trained type-2 fuzzy logic system is able to infer the proportional-integral-derivative gains appropriately even in the presence of noise and uncertainties. So, the type-2 fuzzy logic system is exploited due to its ability to model uncertainties which may exist in the rules and measured data. To illustrate the effectiveness of the proposed strategy, the new controller has been compared with a type-1 fuzzy gain scheduling and the proportional-integral-derivative controllers.
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