随着配电网“单元制”规划方法的逐步推广，区域配电网被划分为多个相对独立的供电单元。然而，供电单元内部依然存在多条互相联络的线路，仍具有一定的复杂性，使得供电单元成图较为困难。基于规则及力导向等启发式的自动化成图方法效率较低且依赖人工干预，无法适应复杂多变的配电网应用场景。为此，本文提出了一种基于均方差条件生成对抗网络的中压配网供电单元自动成图方法。该方法中的布局生成器和遗传变异算法可以细粒度地生成和优化配电网节点布局与连线，实现了多种节点规模下的自动成图。同时，本文设计了面向节点布局生成器的评估函数，以节点聚散程度、连线交叉与拐点等拓扑可视化效果作为关键评价指标，可用于循环迭代优化布局生成器，并进而提升成图效果。实验结果表明，本文所提出的方法在成图效果上优于其他启发式布局方法。

With the gradual promotion of the "unit based" planning method for distribution networks, regional distribution networks have been divided into several relatively independent power supply units. However, there are still a number of interconnecting lines within the power supply units, which still has a certain degree of complexity and makes the mapping of power supply units more difficult. Heuristic automated mapping methods based on rules and force orientation are inefficient and relies on manual intervention, which cannot adapt to the complex and changing distribution network application scenarios. For this reason, this paper proposes an automatic mapping method for medium-voltage distribution network power supply units based on the mean square error condition generation adversarial network. The layout generator and genetic mutation algorithm in this method can generate and optimize the layout and connection of distribution network nodes at a fine-grained level, achieving automatic mapping at various node scales. At the same time, this paper designs an evaluation function for node layout generators, which takes topology visualization effects such as node clustering degree, line crossing, and inflection points as key evaluation indicators. It can be used to iteratively optimize the layout generator and thereby improve the graphical effect. The experimental results show that the proposed method outperforms other heuristic layout methods in terms of mapping performance.