Abstract: In integrated energy systems with multiple energy sources such as electricity, cold/heat and natural gas, due to the differences in the dynamic characteristics of the energy sources, the scheduling instruction cycle is one of the key factors affecting the scheduling performances. Given the different characteristics of energy sources, a two-layer rolling optimization scheduling model considering the dynamic time-intervals is proposed. Firstly, with the goal of minimizing the total costs of system operation, the electricity, cooling/heat and gas energy are dispatched at the same time-intervals in the day-ahead scheduling. Then, for the slow and fast dynamic characteristics of the cooling/heating/natural gas load and the electrical load, a fast/slow dynamic two-layer rolling optimization scheduling model based on the model predictive control is proposed in the intraday scheduling. Different time-intervals are applied in the fast/slow layers, and the time-interval decision index is established in the slow layer, thus realizing the dynamic correction of the cycle time. The example analysis shows the feasibility and efficiency of the two-layer optimal scheduling model. Considering the dynamic time-intervals, the characteristics of energy network are fully explored, the optimal scheduling instruction intervals determined, the adjustment costs reduced and the system operating performances improved. Thus the coordinated operation of IES network and the multi-energy equipment are realized.