Fault detection method for DC distribution network based on VMD fuzzy entropy and GG clustering

被引：0
|
作者：
Wei Y. [1 ,2 ]
Wang Z. [1 ]
Wang P. [3 ]
Zeng Z. [1 ]
Wang X. [4 ]
机构：
[1] School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo
[2] Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment, Henan Polytechnic University, Jiaozuo
[3] State Grid Henan Electric Power Company Scientific Research Institute, Zhengzhou
[4] School of Electrical Engineering, Xi’an University of Technology, Xi’an
来源：
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2024年 / 28卷 / 02期
关键词：
DC distribution network; fault detection; fuzzy entropy; Gath-Geva clustering; the transient current; variational mode decomposition;
D O I：
10.15938/j.emc.2024.02.013
中图分类号：
学科分类号：
摘要：
In response to the difficulties in extracting fault signals and diagnosing various types of faults in DC distribution networks, a fault detection method for DC distribution network based on variational mode decomposition (VMD) fuzzy entropy and Gath-Geva (GG) clustering was proposed. First, the transient current was extracted. The VMD was used to decompose the current into several intrinsic mode functions (IMF). Then, the fuzzy entropy of several IMFs obtained by decomposition was calculated and used as the feature vector. Finally, the feature vector was input into the GG clustering analyzer for cluster recognition. In the specific algorithm of GG clustering, the cluster samples were divided into c categories. The membership matrix was set, the estimated distance was calculated between the cluster center and the maximum likelihood by setting iteration. Then the membership matrix was updated, and the iteration was terminated when the condition matrix is met. Then the cluster identification of single-pole fault, inter-pole fault and ground fault on the AC side outside the zone can be realized. The simulation results show that the proposed protection scheme has strong reliability and high accuracy, which can reliably detect DC line faults and accurately identify fault types under different fault types, fault locations and transition resistance conditions, and has a certain anti-interference ability. © 2024 Editorial Department of Electric Machines and Control. All rights reserved.
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页码：129 / 141
页数：12
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