Abstract: The day-ahead optimal dispatch of the multi-microgrid with combined cooling, heating and power system requires comprehensive consideration of the uncertainty of source and load, the interaction of thermal and electrical power and the game between different stakeholders. Taking each microgrid as different stakeholders, the interval number is used to describe the fluctuation of distributed wind power and photovoltaic power generation and cooling, heating and power load. The controllable micro-source output and schedulable electrical load in each microgrid, the thermal and electrical interactive power and interactive electricity price between microgrids are selected as optimization variables, and a Nash bargaining cooperative game model with the goal of minimizing the operating cost of each microgrid is established. The non-convex optimization problem is equivalently transformed into two convex optimization subproblems, and the interval optimization model of the corresponding subproblem is converted into a deterministic convex optimization model by using interval order relation and possibility degree. To ensure the privacy of users, the accelerated alternating direction multiplier method is used to solve the two subproblems in a distributed way.Finally, the effectiveness and rationality of the proposed method are verified by simulation.