Abstract: The volatility and randomness brought by the integration of high penetration distributed power generation and electric vehicles will significantly impact the safe and stable operation of the power grid. How to accurately calculate the carrying capacity of distribution networks has become an urgent problem that needs to be studied and solved. A robust calculation method for the distribution of distribution network carrying capacity under the influence of electric vehicle spatial schedulability characteristics is proposed to calculate distribution network carrying capacity. Firstly, a spatial schedulable model for electric vehicles was established from the perspective of electric vehicle charging selection, considering the owner's interests, charging efficiency, and the improvement of distribution network carrying capacity. Then, a two-stage distributed robust load-carrying capacity calculation model for distributed power sources and charging stations was established, with the confidence set of the uncertainty probability distribution constrained by both 1-norm and ∞ norm. Finally, use the Column and Constraint Generation algorithm to solve this problem. The impact of various equipment and EV spatial schedulability on the distribution network's carrying capacity was analyzed through corresponding examples. The superiority of this model was verified through comparison with deterministic and robust models.