Low -voltage distribution network topology identification method based on manifold density peak clustering

Authors

Shaokui YAN, Marketing Service Center （Metrology Center ） ， State Grid Ningxia Electric Power Co .， Ltd.， Yinchuan 750000， China
Haili DING, Marketing Service Center （Metrology Center ） ， State Grid Ningxia Electric Power Co .， Ltd.， Yinchuan 750000， China
Jiayi QIU, College of Electrical and Information Engineering ， Hunan University ， Changsha 410012， China
Ziwen GU, College of Electrical and Information Engineering ， Hunan University ， Changsha 410012， ChinaFollow
Chun HUANG, College of Electrical and Information Engineering ， Hunan University ， Changsha 410012， China

Keywords

low-voltage distribution network; topology identification;manifold learning;density peak clustering

Abstract

To address the problem of frequent errors and changes in the topology relationship of low-voltage distribution networks that reduce the accuracy of topology identification，a topology identification method based on manifold density peak clustering is proposed.The method consists of two stages：feature extraction and feature clustering.In the feature extraction stage，a manifold learning algorithm reduces feature redundancy and preserves the arbitrary shape distribution features of voltage data by manifold learning algorithm of extracting low-dimensional embeddings.In the feature clustering stage，based on low-dimensional manifolds of voltage data，the density peak clustering algorithm groups similar low-dimensional manifolds into the same cluster and separates different ones into distinct clusters，achieving topology identification.Experimental results have demonstrated that compared with the original density peak clustering algorithm，the proposed algorithm can identify clustering centers more accurately，improving the accuracy of low-voltage distribution network topology identification.

DOI

10.19781/j.issn.1673-9140.2025.04.006

First Page

61

Last Page

71

Recommended Citation

YAN, Shaokui; DING, Haili; QIU, Jiayi; GU, Ziwen; and HUANG, Chun (2025) "Low -voltage distribution network topology identification method based on manifold density peak clustering," Journal of Electric Power Science and Technology: Vol. 40: Iss. 4, Article 6.
DOI: 10.19781/j.issn.1673-9140.2025.04.006
Available at: https://jepst.researchcommons.org/journal/vol40/iss4/6