Abstract: electricity price optimization method for community microgrid operators based on leader-follower game is proposed inthis paper, At the same time, the photovoltaic uncertainty through scene reduction is described. Firstly, establish optimization operation models for microgrid operators and users respectively. Secondly, analyze the game relationship between operators and users, establish a leader-follower game model led by operators, and use a two-stage solution method based on scene reduction to solve the optimal electricity price considering uncertainty. Finally, through case analysis and verification, the proposed electricity price optimization method can increase the revenue of operators by 14.2%, while reducing the electricity and heating cost of users by 0.92%; It also indicates that an appropriate amount of energy storage can promote the on-site consumption of photovoltaic energy and increase the revenue of operators; In addition, the average revenue for operators in different random scenarios when the optimal electricity price obtained by this method increases by 37.6 yuan, while the fluctuation variance in different scenarios decreases by 16.9%, which means that the electricity price has better universality in different photovoltaic output scenarios.