Wake Control Method of Wind Farm Considering Yaw Error

Yaw angle errors, resulting from wind direction measurement deviations and control inaccuracies, prevent individual turbines in a wind farm from achieving their optimal yaw positions. Such yaw uncertainties not only affect the aerodynamic stability of individual turbines but also propagate through wakes to downstream turbines, causing significant fluctuations in the overall aerodynamic performance of the wind farm. It is therefore essential to investigate the mechanisms by which yaw angle uncertainty impacts turbine and wind farm performance and to develop effective strategies to mitigate these uncertainties. In this paper, considering yaw angle uncertainty for multiple turbines, we investigate the global power uncertainty and the propagation law of turbine power uncertainty within the wind farm. A wind farm aerodynamic performance optimization method is proposed and compared with traditional methods. Results show that for the optimized wind farm, the mean value of the median of the power interval increases by 1.4%, and the interval radius of the power output decreases by 29% on average. The proposed methodology can also be extended to other engineering control devices, enhancing robustness against uncertainties and increasing reliability.