Partition topology identification of distribution network based on CatBoost algorithm

被引：0
|
作者：
Peng H. [1 ]
Wu H. [1 ]
Hu L. [1 ]
Su Y. [1 ,2 ]
Tan M. [1 ,2 ]
机构：
[1] College of Automation and Electronic Information, Xiangtan University, Xiangtan
[2] Hunan Engineering Research Center of Multi-energy Cooperative Control Technology, Xiangtan University, Xiangtan
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2024年 / 44卷 / 05期
关键词：
CatBoost algorithm; distribution network; feature selection; topology identification; topology partition;
D O I：
10.16081/j.epae.202312020
中图分类号：
学科分类号：
摘要：
The topology structure of distribution network with multiple distributed generations has diversity and variability，which affects the real-time and accuracy of topology identification. A partition topology identification method of distribution network based on CatBoost algorithm is proposed. The topology identification framework of distribution network combined with topology partition is constructed，and the region switch state matrix is used to describe the topology structure for dimensionality reduction of physical identification. The feature selection and topology identification methods based on CatBoost algorithm are proposed，the regional topology identification CatBoost models of historical topology and unknown topology are obtained by partition parallel off-line training，the real-time regional switch state matrix labels are obtained by online application，and the switch state matrix of distribution network is formed to realize system topology identification. The effectiveness of the proposed method is verified by the test of distribution network examples. © 2024 Electric Power Automation Equipment Press. All rights reserved.
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页码：95 / 102
页数：7
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