Aiming at the problems of unstable operation and low efficiency caused by the imbalance of internal output of photovoltaic photothermal complementary generator set, a scheduling method of wind power photovoltaic photothermal complementary generator set based on Kmeans clustering algorithm is proposed. Considering the intermittence, fluctuation and randomness of photovoltaic photothermal generation set, K-means clustering algorithm is used to classify and analyze the scheduled data in advance. The objective functions of four possible combinations of light and wind power are established, and the function value is calculated as the initial condition value of the next scheduling constraint. The scheduling method combines power balance, energy storage balance, photovoltaic photothermal uphill and downhill events, calculates the realtime output value and the optimal scheduling output value, and solves the difference between the two to achieve efficient scheduling. The experimental results show that the proposed method can effectively accomplish the load and power schedule of the generator set, and the problems of operation fluctuation and low efficiency are significantly improved, which plays an important role in the stable operation of power plants.