Abstract: In order to solve the problem of over-limit voltage of the distribution network caused by the distributed generation and load uncertainty, a method of two-stage distributionally robust chance constraint optimization scheduling for the flexible interconnected distribution system is proposed. Firstly, based on the Wasserstein theory, the uncertainty probability set of source and load forecast errors is determined. Secondly, taking into account the chance constraints of the node voltage and branch power, a two-stage voltage optimization model of the flexible interconnected distribution system based on the distributionally robust chance constraint is established. Thirdly, the chance constraint conditions are approximately transformed, and the mixed integer random second-order cone optimization algorithm is applied to improve the solution speed of the random mixed integer nonlinear model. Finally, the effectiveness of the model and algorithm are verified through the modified IEEE 33-node system. The calculation example shows that the proposed model effectively improves the safety, economy and robustness of the optimized operation of the flexible interconnected distribution system, and the solution algorithm effectively improves the calculation efficiency.