Considering the flexibility of shared energy storage and the different electricity demand of multiple types of users,a bi-level optimization method is proposed to achieve the optimal overall economic benefits of users and improve the photovoltaic consumption capacity for industrial users. Aiming at the lowest monthly power consumption cost of users,the upper layer model is established considering the system energy balance,energy storage charging and discharging constraints and energy storage state of charge constraints,so as to reduce the monthly maximum electricity demand and decrease demand charge. Taking the optimized monthly demand from the upper layer model,the day-ahead model is established,and the charging and discharging power of the shared energy storage,as well as the interactive power between users and the power grid are output to optimize comprehensive benefits of multiple types of industrial users and improve the photovoltaic absorption ability. Strategies for shared energy storage charging and discharging power,as well as user interaction power with the grid,are proposed to optimize the comprehensive benefits for various types of industrial users,ensuring daily economic efficiency under the premise of monthly overall economic optimality. Finally,the effectiveness of the proposed method is verified with the case study.