Abstract: In order to solve the energy supply and demand imbalance caused by the fluctuation of renewable energy and user load,this paper proposes a multi-time-scale optimization operation method. This method establishes a three-stage optimization model of "dayahead,day-in rolling,real-time adjustment" so as to optimize unit output step by step. Environmental cost is considered in the dayahead phase,day-ahead optimization aims at the lowest daily operating cost,and day-in rolling optimization uses rolling control time domain purchases,which goal is to minimize the cost of energy and the penalty cost of unit output changes,and the real-time adjustment optimization aims to minimize the total adjustment rate of equipment power,and finally obtaining a real-time smooth output plan of the equipment. In the day-ahead stage,the effects of different system structures on the daily operating cost of combined cooling,heating and power（CCHP）system are compared,and the best system structure is determined. The simulation results verify the accuracy of the proposed strategy,and the optimization results show that:multi-energy storage mode can reduce the operating cost of CCHP system;multi-time-scale rolling optimization can not only improve the operation economy of CCHP system,but also reduce the power fluctuation and the operation loss of equipment.