Aiming at the optimal scheduling problem of integrated energy systems, this paper proposes a hierarchical energy management framework based on energy hubs, which fully considers the adjustment effect of new energy power plants, gas-electricity and electricity-gas energy conversion devices. The traditional energy storage stations are replaced with shared battery stations to provide energy storage function. For guaranteeing real-time energy balance between supply and demand, the temperature control load is used to provide demand response. Based on regional energy system data and PJM power market data, the cost function of the regional integrated energy system is established considering multi-distributed equipments. The genetic algorithm is used to solve the mixed integer programming problem. The simulation results show that under the proposed energy management framework, the comprehensive utilization efficiency of energy can be improved and the integrated energy system runs efficiently and economically.