Combined cooling

heating and power microgrid(CCHP-MG)has important application value for realizing sustainable energy development and building a low-carbon society. However

the complex energy structure and the coupling relationship between the equipment inside the systems

the renewable energy consumption and the smoothing of load fluctuations bring challenges to the optimal operation of CCHP-MG. This paper proposes a multi-time-scale optimal scheduling model of CCHP-MG with ice-storage air-conditioning

and studies the effects of different operation modes of the ice-storage air-conditioning system on the optimal scheduling. In the day-ahead scheduling

the uncertainty of renewable energy is represented by multi-scenarios

and the economic operation of the CCHP-MG during an optimization cycle is emphasized. Based on the day-ahead scheduling

a two-layer rolling optimization model is proposed in the intraday scheduling for smoothing the load fluctuation according to the coherency and complementarity of the cooling

heating and electricity load at different time scales. And the output power of each equipment can be identified. The simulation results show that the operation mode of ice-storage air-conditioning system is related to the improvement of comprehensive benefits of CCHP-MG

and the multi-time-scale optimal scheduling model can not only meet the requirements of users for cold

heat and electricity

but also can effectively smooth the random fluctuation on both supply and demand sides

and ensure economic and stable operation of CCHP-MG.