Abstract: Large-scale wind power integration has brought great challenges to the economic and stable operation of power system. Based on the analysis of the situation relationship between wind power and load, a twolayer scheduling strategy is proposed: the day-ahead optimal scheduling strategy aims at the optimal economic operation cost of the power grid, and achieves the optimal economic operation of the power grid by adjusting the continuous and discrete high-energy load during the coupling period of wind power load; the intra-day optimal dispatch strategy aims at the maximum wind power accommodation and corrects the power fluctuation caused by wind power error by adjusting the high energy load. Finally, the effectiveness of the strategy is verified by self adaptive particle swarm optimization in a northwest region.