Abstract: In order to alleviated the problem effectively that large-scale wind curtailment caused by the high proportion of renewable energy connected to the grid in the three-north area, the thermal power units, combined heat and power units (CHP), concentrating solar power plant (CSPP), wind farm and electric-heat load were aggregated into virtual power plants (VPP). Firstly, the scene analysis method was used to optimized the day ahead wind power and solar scene randomly to reduce the prediction error; Made full use of the integrated demand response mechanism to dispatch the electric-heat flexible load resources. And then based on the wind curtailment cost, the operation cost and demand response cost, the day-ahead scheduling optimal model was constructed, got the optimal day-ahead scheduling planning through solving model in different mode. Finally, according to the example verified that the proposed scheme could promote wind power consumption while improving the system economy effectively.