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基于运检管控平台多源信息融合的输电线路故障类型诊断方法

李婷 张孝军 潘华 朱维钧 乐健

南方电网技术2023,Vol.17Issue(12):109-118,10.
南方电网技术2023,Vol.17Issue(12):109-118,10.DOI:10.13648/j.cnki.issn1674-0629.2023.12.013

基于运检管控平台多源信息融合的输电线路故障类型诊断方法

Fault Type Diagnosis Method of Transmission Lines Based on Multi-Source Information Fusion of Operation Inspection and Control Platform

李婷 1张孝军 2潘华 2朱维钧 1乐健3

作者信息

  • 1. 国网湖南省电力有限公司电力科学研究院,长沙 410007
  • 2. 国网湖南省电力有限公司,长沙 410073
  • 3. 武汉大学电气与自动化学院,武汉 430072
  • 折叠

摘要

Abstract

Different types of faults on transmission lines seriously threaten the safe and stable operation of the system.At present,most transmission line fault diagnosis methods refer to a single fault information parameter,and often only consider the zero sequence current information in the fault record.Therefore,this paper proposes a fault type diagnosis method of transmission lines based on multi-source information fusion of operation inspection and control platform,constructs the actual waveform database and related information database under various fault causes of transmission line,uses wavelet packet analysis to extract the fault eigenvalues of different transmission line fault types,and uses machine learning algorithm to complete the fault diagnosis of multi-source informa-tion fusion.Based on the fault characteristic value of the historical tripping line in Hunan area,the simulation results show that the correctness and effectiveness of the method in this paper are verified by actual calculation examples.

关键词

运检管控平台/多源信息/故障诊断/小波包/机器学习

Key words

operation inspection control platform/multi source information/fault diagnosis/wavelet packet/machine learning

分类

信息技术与安全科学

引用本文复制引用

李婷,张孝军,潘华,朱维钧,乐健..基于运检管控平台多源信息融合的输电线路故障类型诊断方法[J].南方电网技术,2023,17(12):109-118,10.

基金项目

国网湖南省电力有限公司科技项目(5216A520000S) (5216A520000S)

国家重点研发计划项目(2022YFF0610601). Supported by the Science and Technology Project of State Grid Hunan Electric Power Co.,Ltd.(5216A520000S) (2022YFF0610601)

the National Key Research and Development Program of China(2022 YFF0610601). (2022 YFF0610601)

南方电网技术

OA北大核心CSCDCSTPCD

1674-0629

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