Abstract: In order to realize the mutual aid of electric energy among multiple microgrids with different stakeholders in the same region,and come up with an economic optimal scheduling method of multi-microgrid system based on master-slave game under multi-agent technology. Firstly,a multi-microgrid system energy interaction framework,in which the multi-microgrid agents（MMGA）set the internal electricity price of the system,and the microgrid agents（MGA）respond to the electricity price is designed. Secondly,the fuzzy chance constraint of credibility theory to deal with the impact of renewable energy and load uncertainty on dispatching decisions is introduced. Based on the master-slave game,the economic optimal dispatching model of multi-microgrid system with fuzzy chance constraint is established. Finally,the genetic algorithm nested CPLEX solver is used to deal with the problem. The simulation results show that the proposed method not only improves the economic benefits of all parties,but also reduces the interactive power between the multi-microgrid system and the power grid,which is conducive to the local consumption of distributed resources and the safe and stable operation of the power grid.