针对风电场中存在风电机组之间疲劳不均匀而导致部分机组寿命提前衰减的问题，提出了一种基于疲劳分布的风电场有功优化调度策略。该方法以有功功率分配为研究对象，综合考虑疲劳载荷和尾流效应的影响，根据风电机组的功率预测信息和疲劳系数的功率参考值进行权重组合再分配，采用自适应遗传算法寻找最优权重系数。仿真结果表明，本文所提方法能够在完成上级调度指令跟踪的同时，均匀场内风电机组疲劳程度，降低疲劳载荷，减少风电场运维成本。

In order to address the issue of premature attenuation of the lifespan of some wind turbines due to uneven fatigue among wind turbines in wind farms, an active power optimal scheduling strategy based on fatigue distribution was proposed. This method took active power distribution as the research object, comprehensively considered the influence of fatigue load and wake effect, combined weight redistribution was carried out according to the power prediction information of wind turbines and the power reference value of fatigue coefficient, and adaptive genetic algorithm was used to find the optimal weight coefficient. The simulation results demonstrate that the proposed method can track superior dispatching instructions, while achieving uniform fatigue levels among wind turbines in the field, reducing fatigue load, and decreasing the operation and maintenance costs of the wind farm.