Abstract: Aiming at the uncertainty of renewable energy output in the micro energy grid, based on the“multiple interaction”characteristics of integrated demand response（IDR）, a strategy for IDR to smooth the fluctuation of renewable energy is proposed,and a two-stage robust optimization model for IDR day-ahead and intra-day collaborative scheduling in the micro energy grid is built. In the model, the uncertain budget parameters of wind and photovoltaic are introduced for regulating the economy and robustness of the system. In the day-ahead stage, the worst-case scenario is considered to determine the day-ahead scheduling scheme of the system. In the intra-day regulation stage, the regulation scheme in the worst-case scenario is optimized based on the optimization results of the day-ahead stage. The strong duality theory and column and constraint generation algorithm are used to transform and solve the robust optimization problem of min-max-min structure. The results show that the robust optimization method can improve the system ability to resist uncertain risks, and the IDR can improve the economy and self-sufficiency of the micro energy grid.