Abstract: Microgrid is an important form to accommodate renewable energy and improve the reliability of distribution network,which usually has an independent energy management system. Distribution networks with multiple microgrids need to cooperate with each microgrid to meet the constraints of safe and economic operation. It is necessary to adopt the distributed coordinated method considering the uncertainty of renewable energy and the characteristics of discrete adjusting equipment in the coordinated scheduling process between distribution networks and microgrids. To meet the above requirements, the renewable energy uncertainty is modeled by using the idea of the distributionally robust optimization modeling. And the discrete adjusting equipment is processed based on the simplicial decomposition method-nonlinear block Gauss-Seidel method-augmented Lagrange method（SDM-GS-ALM）. The algorithm approximates integer variables by convex hull, and theoretically ensures that every computation problem is convex. On the basis of convex problem, column-and-constraint generation（C＆CG） as the outer algorithm and SDMGS-ALM as the inner algorithm are embedded in each stage of C＆CG, which realizes the construction of distributed coordinated computing framework for distribution networks and microgrids. Finally, based on a real 240-bus engineering system in North America, the aggregate equivalent method of line operation state is used to verify the effectiveness of the proposed method.