全球能源互联网（英文）2021，Vol.4Issue(6)：576-586,11.DOI:10.14171/j.2096-5117.gei.2021.06.005
基于基尼系数的变电站公平层次聚类方法
Fair hierarchical clustering of substations based on Gini coefficient
摘要
Abstract
For the load modeling of a large power grid, the large number of substations covered by it must be segregated into several categories and, thereafter, a load model built for each type. To address the problem of skewed clustering tree in the classical hierarchical clustering method used for categorizing substations, a fair hierarchical clustering method is proposed in this paper. First, the fairness index is defined based on the Gini coefficient. Thereafter, a hierarchical clustering method is proposed based on the fairness index. Finally, the clustering results are evaluated using the contour coefficient and the t-SNE two-dimensional plane map. The substations clustering example of a real large power grid considered in this paper illustrates that the proposed fair hierarchical clustering method can effectively address the problem of the skewed clustering tree with high accuracy.关键词
负荷建模/变电站聚类/基尼系数/层次聚类/轮廓系数Key words
Load modeling/Substation clustering/Gini coefficient/Hierarchical clustering/Contour coefficient引用本文复制引用
司大军,胡文岳,邓子琳,徐衍会..基于基尼系数的变电站公平层次聚类方法[J].全球能源互联网（英文）,2021,4(6):576-586,11.基金项目
This work was supported by the Major Science and Technology Project of Yunnan Province entitled"Research and Application of Key Technologies of Power Grid Operation Analysis and Protection Control for Improving Green Power Consumption"(202002AF080001)and the China South Power Grid Science and Technology Project entitled"Research on Load Model and Modeling Method of Yunnan Power Grid"(YNKJXM20180017). （202002AF080001）
