Abstract: Improving the predictionaccuracy of the fluctuating energy on the source side, developing the adjustment characteristics of the flexible resources on the load side deeply, and coordinating the optimization of the source and load are the effective ways to solve the power system stability problem caused by the high proportion of wind power networking. Firstly, the wind power fluctuation characteristics are analyzed on the source side, and the wind power prediction model based on the three-parameter power law model is constructed. The transferable load is introduced into the load side and the scheduling strategy is determined. Then, a wind storage network scheduling system model considering low carbon and economic benefits is established, and the improved bat algorithm is used to solve the proposed model. Finally, a comprehensive comparison is made between the proposed method prediction and scheduling strategy and the traditional prediction method in terms of economy and low carbon. The simulation analysis shows that the prediction method based on the three-parameter power law model and the transferable load scheduling strategy can significantly reduce the comprehensive cost and the wind abandonment rate of the system.