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基于VMD-RF算法的小电流接地系统暂时过电压的识别研究

梁栋 雒美娟 李云阁 宋凡 王梓伦 刘虎 王艳婷 陈驰

电力信息与通信技术2026,Vol.24Issue(5):65-75,11.
电力信息与通信技术2026,Vol.24Issue(5):65-75,11.DOI:10.16543/j.2095-641x.electric.power.ict.2026.05.08

基于VMD-RF算法的小电流接地系统暂时过电压的识别研究

Identification of Temporary Overvoltage in Small Current Grounding Systems Based on VMD-RF Algorithm

梁栋 1雒美娟 1李云阁 2宋凡 1王梓伦 1刘虎 1王艳婷 1陈驰1

作者信息

  • 1. 西安理工大学 电气工程学院,陕西省 西安市 710054
  • 2. 国网陕西省电力科学研究院,陕西省 西安市 710021
  • 折叠

摘要

Abstract

In the 10 kV voltage transformer,the focus of the microcomputer harmonic elimination device is to improve the identification accuracy of ferromagnetic resonance.However,the misjudgment examp-les in engineering practice reveal that the existing identification technology still has the problems of insufficient accuracy and modal confusion.Aiming at this problem,this paper comprehensively studies the generation mechanism and fault characteristics of various transient overvoltage signals with similar characteristics,such as ferromagnetic resonance,single-phase grounding fault and arc grounding fault in small current grounding system.On this basis,a new recognition algorithm of artificial intelligence is proposed.The research process is divided into three steps:Firstly,based on theoretical analysis,the basic principles and unique characteristics of different types of overvoltage signals are expounded.Secondly,a more accurate simulation model is used to obtain the data set of various overvoltage signals.The variational mode decomposition(VMD)technique is used to effectively extract the intrinsic mode function reflecting the local characteristics of overvoltage,and the selection of feature subset is optimized by combining energy entropy theory and Pearson correlation coefficient.Finally,through experimental simulation verification,it is proved that the proposed overvoltage identification method based on random forest(RF)algorithm can achieve an accuracy of up to 97.22%,which greatly improves the classification effect of various overvoltage signals,thus ensuring that the harmonic elimination device can respond and act more accurately.

关键词

随机森林/故障辨识/铁磁谐振/单相接地故障/弧光接地故障

Key words

random forest(RF)/fault identification/ferromagnetic resonance/single-phase ground fault/arcing ground fault

分类

信息技术与安全科学

引用本文复制引用

梁栋,雒美娟,李云阁,宋凡,王梓伦,刘虎,王艳婷,陈驰..基于VMD-RF算法的小电流接地系统暂时过电压的识别研究[J].电力信息与通信技术,2026,24(5):65-75,11.

基金项目

国家自然科学基金项目(52207174). (52207174)

电力信息与通信技术

1672-4844

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