In order to take into account the economic and environmental benefits of the integrated energy system, an optimization configuration model including power generation, heat release and energy storage based on a dual-objective integrated energy system was proposed. Firstly, the prediction error of wind power under different confidence levels was considered. Secondly, the electrical and thermal demand response was analyzed based on the user electric flexible load and user sensitivity indoor temperature. Finally, to minimize the economic and environmental costs, a double-objective optimization model with uncertainty and demand response based on an integrated energy system was established. The results show that the increase in the confidence level of wind power forecast errors increases the cost of the system. The introduction of electricity/heat demand response not only optimizes the demand curve by reducing the peak-to-valley difference , but also reduces the integrated energy system economy and environment cost by optimizing equipment configuration of the integrated energy system . The effectiveness of the model is verified.