A multi-microgrid system consists of multiple low-voltage microgrids and distributed energy sources connected to adjacent feeders. It is difficult for the traditional optimization method to deal with decision makers in the economic optimization of multi-microgrid systems. This paper proposes a multi-micro network system energy scheduling strategy based on a master-slave game. The strategy uses the Energy Management Center (EMC) as the leader of the strategy, and the Micro-Grid Operator (MGO) as a follower of the strategy, both of which conduct real-time games with the goal of maximizing their own interests. This strategy takes the interests of both EMC and MGO into account. By analyzing the microgrid with power surplus and the microgrid with insufficient power, it fully considers the loss of efficiency caused by load fluctuations to EMC benefits, and compensates for it, thus avoiding the drastic fluctuation of internal electricity price. By means of the intraday forecasting electricity price, PV forecast output and load forecasting data, this paper analyzes the game results from both the EMC side and the MGO side to verify the feasibility of the proposed strategy. This work is supported by National Natural Science Foundation of China (No. 61673174).