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Percentage of wind energy in worldwide power generation increases year after year. At the present time, problems of increasing the energy efficiency of wind turbines (WT) and optimization of WT power output are of great importance due to instability of wind energy. It stimulates the development, investigation and using of intelligent systems for controlling operating regimes of wind turbines. Such systems also involve those systems that are developed using algorithms based on fuzzy logic. This paper presents the results of investigations devoted to searching for optimal membership functions for fuzzy sets of input and output variables. These variables and membership functions are used in fuzzy algorithms developed for enhancing power output of wind turbines under the given operating conditions. After analyzing the obtained results, it may be concluded that the use of symmetrical Gaussian membership functions gives the fastest convergence of the optimal power into the point.

Today, wind power is the fastest-growing renewable energy source. Wind power is free, clean, and endless. Furthermore, the cost of the electricity produced by wind turbines reached already the point where it is comparable with that of electricity produced by some of the conventional, fossil based power plants. However, it is still important to improve the technology in order to keep wind energy economically competitive with traditional and other renewable energy sources. In this paper the concept of variable length blades and active flow control systems has been proposed as a means of increasing the energy yield of the turbine.

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