随着风电渗透率的不断上升，大规模风电参与调频成为风电发展的重中之重，功率分配方法也需更加智能化和简便化。因此，利用目标函数优化法对风场层功率分配进行优化。首先，对整个风电场进行调频功率函数的建模，使整个风电场的实时功率变化值追踪整个风电场待分配功率，将上述两者偏差值最小作为目标函数。其次，通过超短期预测方法得到一定周期内每台风机风速和有功出力的上下限，结合桨距角的变化限度作为约束条件。最后，求解得到各台风机优化后的功率偏差值，将其叠加到各台风机出力的基础值上进行调频。通过与其他功率分配方法对比，验证了目标函数优化法的优越性，其可以提高风电场调频的快速性和可靠性。

With the increasing of wind power permeability, largescale wind power participation in frequency modulation becomes the most important part of wind power development, and power allocation method needs to be more intelligent and simple. Therefore, the objective function optimization method is used to optimize the power allocation of wind farm layer. Firstly, the frequency modulation power function of the whole wind farm is modeled so that the realtime power change value of the whole wind farm tracks the power to be distributed in the whole wind farm, and the minimum deviation between the above two is taken as the objective function. Secondly, the upper and lower limits of wind speed and active power output of each wind turbine in a certain period are obtained by ultrashortterm prediction method, and the variation limit of the pitch angle is taken as the restriction condition. Finally, the optimized power deviation value of each wind turbine is obtained and superimposed on the basic value of each wind turbine output for frequency modulation. By comparing with other power allocation methods, the superiority of the objective function optimization method is verified, which can improve the speed and reliability of wind farm frequency modulation.

国家自然科学基金（52037003）；云南省重大专项资助项目（202002AF080001）