On-line Monitoring of Sag and Icing of Overhead Transmission Lines

YANG Xiaolong; YUAN Hanqing; SUN Chenjun; MA Chao; LI Jing

doi:10.15938/j.jhust.2023.02.012

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On-line Monitoring of Sag and Icing of Overhead Transmission Lines

更新时间：2026-08-31

- On-line Monitoring of Sag and Icing of Overhead Transmission Lines
- Vol. 28, Issue 2, Pages: 99-107(2023)
- 作者机构：
  
  国网河北省电力有限公司信息通信分公司,石家庄,050000
- 作者简介：
- 基金信息：
- DOI：10.15938/j.jhust.2023.02.012
  CLC： TM726.3
- Published：2023
- 稿件说明：
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YANG Xiaolong, YUAN Hanqing, SUN Chenjun, et al. On-line Monitoring of Sag and Icing of Overhead Transmission Lines[J]. 2023, 28(2): 99-107.
DOI：

YANG Xiaolong, YUAN Hanqing, SUN Chenjun, et al. On-line Monitoring of Sag and Icing of Overhead Transmission Lines[J]. 2023, 28(2): 99-107. DOI： 10.15938/j.jhust.2023.02.012.

摘要

为实现架空输电线路在线覆冰及舞动监测，提出了一种基于分布式相敏光时域反射计（Φ-OTDR）架空输电线路在线监测方法。文章通过建立了输电线路的数学模型，理论分析得到导线的弧垂、舞动频率等参数计算公式；其次提出了基于Φ-OTDR分析方法，并对其监测原理进行了分析。通过搭建架空线在线监测模型，分别开展架空线舞动试验及覆冰试验，分析得到了架空输电线路的动态应变特性，验证了基于Φ-OTDR的输电线路状态在线监测方案。试验结果表明，在厘米尺度上，弧垂估计误差小于5.8%，在亚毫米尺度上，冰厚估计误差不大于10.84%，可准确描述了输电线路状态，为输电线路故障预警提供了有力支持。

Abstract

In order to realize on-line icing and galloping monitoring of overhead transmission lines

an on-line monitoring method for overhead transmission lines based on phase-sensitive optical time domain reflectometry (Φ-OTDR) is proposed.In this paper

by establishing mathematical models of transmission line

the calculation formulas of conductor sag

galloping frequency and other parameters are obtained through theoretical analysis.Secondly

by building the overhead line online monitoring model

the overhead line galloping test and the icing test are proposed respectively

and the leakage principle is analyzed.The dynamic acquisition characteristics of overhead transmission lines are analyzed

and the online status monitoring scheme of transmission lines based on Φ-OTDR is verified.The test results show that the estimation error of sag is less than 5.8% on centimeter scale

and the estimation error of ice thickness is no more than 10.84% on sub-millimeter scale

which gives an accurate description of transmission line status and provides strong support for early warning of transmission line failures.

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