The rapid development of intermittent new energy sources such as photovoltaics and wind power has increased the demand for energy storage in microgrids. Shared energy storage and flexible load scheduling can optimize load curves and reduce energy storage costs. To this end, a two?stage robust dispatching optimization method for microgrid considering shared energy storage and flexible load is proposed. Firstly, flexible loads are scheduled in advance based on demand response in the day?ahead scheduling stage. Then, in order to compensate for the decision?making in the day?ahead stage, the charging and discharging status of the shared energy storage is modified hourly through the cloud platform during the day. In most cases, the prediction information considering the uncertainty is near the expected value. In order to seek the balance between the economy and robustness of the microgrid operation, a two?stage robust model based on the expected scenario is adopted, and the column?and?constraint generation (C&CG) algorithm is used to obtain the robust and feasible solution. Simulation results show that the flexible load and shared energy storage can be effectively coordinated to adapt to the uncertainty of renewable energy and load demand, while maximizing the benefits of the microgrid, thus effectively balancing robustness and economy.