Abstract: In order to guide reasonable bidding of microgrid agents, the bidding strategies under diversified electric power sellers is proposed to maximize microgrid utility profit in this paper. At first, in terms of the characteristics of delamination and flexibility of the microgrid and electric utility, a trade model between microgrid agent and seller agent is proposed based on multi-agent system (MAS). By applying bidding system of MAS, the game mode is built with the objective of maximizing the profit of the microgrid based on game theory. By considering the uncertainty of market information, the probability distribution of cost and bidding schemes for the rivals in microgrid is obtained by using probability simulation, Nash equilibrium of game model is solved by using nonlinear programming theory, and the optimal bidding strategy for microgrid agents is determined. In the end, the effectiveness of the proposed method is verified by case analysis.