A type-2 fuzzy logic based model for renewable wind energy generation

The diminishing reserves of fossil fuels together with the associated environmental effects is encouraging the transition to renewable clean energy. Due to this transition, improvements took place in numerous fields related to wind energy generation. To cope with those improvements, the need emerged to develop intelligent control mechanisms that can handle the uncertainties encountered in wind turbines. In this paper we present a novel type-2 fuzzy logic system that models wind turbines to accurately predict the extracted power. Fuzzy models in this paper were generated using data and adapted to deal with noise. The type-2 fuzzy based models were compared against the corresponding type-1 fuzzy models. Although type-1 returns precise results under ideal conditions, it cannot deal with any encountered uncertainties unlike the type-2 fuzzy model that is able to handle the encountered uncertainties to give a better model.The author would like to acknowledge the support of the German office of the German federal ministry of education and research (IB-BMBF) and the Egyptian Science and Technology Development Fund (STDF) for co-financing of the project entitled "Evaluation of Fuzzy Control Algorithms in Wind Energy Conversion Systems", STDF 599 (EGY-08-045). The authors would like also to thank Fraunhofer-Institute for Wind Energy and Energy System Technology (IWES) for the wind turbine data used in this paper. The authors would like also to acknowledge the partners from Cairo and Banha Univerities Prof. Abdellatif El Shafei, Prof. Adel Shaltout, and Prof. Naser AbdelRehim. point tracking controllers," Energy Conversion and Management, pp. 2846-2858,2006.