为了评估现有柔性互联配电网新能源承载能力，为了评估新能源最大承载能力，通常将原有模型转化为混合整数二阶锥优化模型。然而，二阶锥松弛条件较为苛刻，通用性不高，求解收敛性较差，模型求解速度慢，无法适用于大规模复杂配电网的快速评估。为此，提出了一种基于改进直流潮流算法的新能源承载力评估模型，该模型将原有非线性模型转化为近似线性模型，提高了求解速度与精度，满足柔性互联配电网新能源承载力的快速评估与分析要求。通过IEEE 33节点柔性互联配电网及1 000次随机仿真的算例验证了所提方法的有效性，并对比验证了所提改进直流潮流算法的精度和数值稳定性。

In order to evaluate the maximum carrying capacity of new energy sources in the existing flexible interconnected distribution network, the original model is usually transformed into a mixed integer second-order cone optimization model. However, the second-order cone relaxation conditions are harsh, the generality is not high, the solution convergence is poor, and the model solution speed is slow, which cannot adapt to the fast evaluation of large-scale complex distribution networks. Therefore, a new energy carrying capacity evaluation model based on improved DC power flow algorithm is proposed, which transforms the original nonlinear model into an approximate linear model, improves the solving speed and accuracy of the model, and meets the requirements of rapid evaluation and analysis of new energy carrying capacity of flexible interconnected distribution network. The effectiveness of the proposed method is verified by IEEE 33-node distribution network and 1 000 random simulation examples, and the accuracy and numerical stability of the proposed improved DC power flow algorithm are compared and verified.