In order to reduce the impact of wind power and load forecasting errors on the output plan adjustment of each unit of intergrated energy system（IES）, two- stage（day- ahead and intraday）optimal scheduling model of IES based on the Stackelberg game real-time pricing mechanism is established. In the day ahead dispatching plan, the output plan of each unit for the next day is determined based on the optimal economic cost of the integrated energy system. In the intra day scheduling plan, taking the maximum income of comprehensive operators and the maximum user satisfaction as the objective function, a master-slave game model is established to adjust the current energy price through the two-party game, so as to guide users to actively participate in the demand response.Through the simulation analysis of actual examples, compared with the energy price determined by the price elasticity coefficient matrix method, the real-time energy price determined by the Stackelberg game has a higher degree of user participation in the demand response, which can not only reduce the adjustment of the output plan formulated by each unit in the past, but also promote the consumption of wind power. The model effectively improves the economic benefits of IES and improves the satisfaction of the user side.