Abstract: In order to deal with the various uncertain factors faced in the actual operation of micro-energy networks with different types of energy storage in actual operation, this paper gives the economic dispatch strategy of micro-energy network considering the participation of electricity storage, heat storage and gas storage equipment. To track the optimized energy exchange between the micro-energy network and the external network and the storage equipment’s energy state, and to improve the utilization rate of renewable energy as much as possible, a multi-time scale cooperative scheduling model of micro-energy network was established based on the model prediction control method. The results show that the proposed model can effectively deal with renewable energy output fluctuation and load forecasting error. Under the premise of ensuring the daily energy balance of energy storage equipment, the real-time smooth output strategy of the controllable components is proposed. The ability to absorb wind power and photovoltaic energy is also improved.