DC inter-regional power transmission has become one of the effective means for new energy power consumption and resource optimization against the background of rapid development of new energy power generation. However, the uncertainty of wind power generation also brings difficulties to the decision scheduling of a cross-area DC power grid. In this paper, fuzzy parameters are used to describe the uncertainty of wind power, and fuzzy chance constraints are formed on the basis of plausibility measurement to establish an inter-regional day-ahead scheduling model that takes into account the uncertainty of wind power prediction. The fuzzy chance constraint is clarified to reduce the difficulty of solving the model, and the model is solved by a mixed-integer linear planning method. The analysis of a case shows that the method in the paper better reflects the influence of wind power forecast uncertainty on the DC inter-regional transmission decision than the traditional deterministic model. This verifies the validity of the model. This work is supported by the National Key Research and Development Program of China (No. 2016YFB0900601) “Control and Protection for the Operation of Large-scale AC/DC Hybrid Connection Power Grid”.