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,由于供电单元内部依然存在多条互相联络的线路,其结构的复杂性导致供电单元成图较为困难.现有基于规则或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,难以适应复杂多变的配电网应用场景.为此,提出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.该方法通过布局生成器和遗传变异算法,细粒度地生成并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,设计了面向节点布局生成器的评估函数,以节点聚散程度、连线交叉与拐点数量等拓扑可视化效果作为关键评价指标,用于在循环迭代中优化布局生成器,从而提升成图效果.实验结果表明,所提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 multiple interconnecting lines within the power supply units, and the complexity of the structure makes the mapping of power supply units more difficult. The 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. Therefore, 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. Then, it designs an evaluation function for node layout generators, which takes topology visualization performances such as node clustering degree, line crossing, and inflection points as key evaluation indicators. This function can be used to iteratively optimize the layout generator and thereby improve the mapping effect. The experimental results show that the method proposed outperforms other heuristic layout methods in terms of mapping effect.