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.