Fair hierarchical clustering of substations based on Gini coefficient

Dajun Si; Wenyue Hu; Zilin Deng; Yanhui Xu

doi:10.1016/j.gloei.2022.01.009

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Fair hierarchical clustering of substations based on Gini coefficient

Protection and Control Technologies of New Power System | 更新时间：2026-09-21

- Fair hierarchical clustering of substations based on Gini coefficient
- Fair hierarchical clustering of substations based on Gini coefficient
- 全球能源互联网(英文) 2021年4卷第6期页码：576-586
- 作者机构：
  
  1. Yunnan Electric Power Grid Ltd,Kunming,PR China,650011
  2. North China Electric Power University,Beijing,PR China,102206
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gloei.2022.01.009
  中图分类号：
- 网络首发：2022-03-08，
  
  纸质出版：2021
- 稿件说明：
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Dajun Si, Wenyue Hu, Zilin Deng, 等. Fair hierarchical clustering of substations based on Gini coefficient[J]. 全球能源互联网(英文), 2021,4(6):576-586.

Dajun Si, Wenyue Hu, Zilin Deng, et al. Fair hierarchical clustering of substations based on Gini coefficient[J]. Global Energy Interconnection, 2021, 4(6): 576-586.
Dajun Si, Wenyue Hu, Zilin Deng, 等. Fair hierarchical clustering of substations based on Gini coefficient[J]. 全球能源互联网(英文), 2021,4(6):576-586. DOI： 10.1016/j.gloei.2022.01.009.

Dajun Si, Wenyue Hu, Zilin Deng, et al. Fair hierarchical clustering of substations based on Gini coefficient[J]. Global Energy Interconnection, 2021, 4(6): 576-586. DOI： 10.1016/j.gloei.2022.01.009.

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.

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