In recent years, the construction of wind farms has increased rapidly, and the evaluation of wind energy resources is an important basis for wind farm construction and one of the key factors for success or failure. The accuracy of wind energy resource evaluation, that is, the study of wind energy evaluation methods is particularly important. The purpose of this article is to calculate and apply the important parameters in wind farms based on fuzzy T-S linearization, to study and analyze the calculation process and algorithm of important parameters of wind energy resource evaluation, and to design and develop the corresponding wind energy resource evaluation system. The energy resource evaluation system and the corresponding parameter algorithm are implemented to make the system easy to use, accurate in calculation and accurate in evaluation. Finally, the system is used to calculate the simultaneous wind speed and annual average wind speed of each wind height (15m, 55m, 75m) of a wind farm in 2020. The annual average wind speed at the wind height is 7.16 m/s, and the annual average wind speed at the wind marker at 75 m is 8.07 m/s. In addition, the average wind speed of each anemometer in the first year first increased and then decreased with time, reaching a maximum value at 8:00 or 12:00.

Logensh Sainei. Calculation and Application of Important Parametersin Wind Energy Resource Assessment of Wind Farm Based on T-S Fuzzy Linearization. Academic Journal of Energy (2021), Vol. 2, Issue 4: 27-34. https://doi.org/10.38007/RE.2021.020404.

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