Monitoring Conductor Sags for Dynamic Line Rating Based on Induced Signals in Overhead Ground Wires

The sag information of conductors is important for dynamic line rating. This paper proposes a novel monitoring method for conductor sags based on the current or voltage in ground wires, which is produced by mutual inductance between conductors and ground wires. The devices of this method are easy to install and maintain, and the monitoring effect is not affected by bad weather such as snow and fog. To obtain sag information, a calculation method of induced signals in the ground wires is firstly proposed. Then the sensitivity of the induced signals in the ground wires to the variation of conductor sags is evaluated. The relationship between the induced signals in the ground wires and the sag information is established through neural network. A scaled test model of overhead transmission line is established to verify the proposed method. The accuracy of deduced results is acceptable.

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Publication Details

Journal
IEEE Transactions on Power Delivery
Published
2025-03-12
DOI
https://doi.org/10.1109/tpwrd.2025.3550508
Citations
2
Primary Topic
Thermal Analysis in Power Transmission
Type
article
Field-Weighted Citation Impact
2.43
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article

Monitoring Conductor Sags for Dynamic Line Rating Based on Induced Signals in Overhead Ground Wires

Yao Yao, Xiankang Wang, Xue‐Ming Zhou, Zherui Cui et al.
2 citations
IEEE Transactions on Power Delivery
Thermal Analysis in Power Transmission
2.43
article

Monitoring Conductor Sags for Dynamic Line Rating Based on Induced Signals in Overhead Ground Wires

Yao Yao, Xiankang Wang, Xue‐Ming Zhou, Zherui Cui, Bo Zhang
article en
2 citations

Abstract

The sag information of conductors is important for dynamic line rating. This paper proposes a novel monitoring method for conductor sags based on the current or voltage in ground wires, which is produced by mutual inductance between conductors and ground wires. The devices of this method are easy to install and maintain, and the monitoring effect is not affected by bad weather such as snow and fog. To obtain sag information, a calculation method of induced signals in the ground wires is firstly proposed. Then the sensitivity of the induced signals in the ground wires to the variation of conductor sags is evaluated. The relationship between the induced signals in the ground wires and the sag information is established through neural network. A scaled test model of overhead transmission line is established to verify the proposed method. The accuracy of deduced results is acceptable.

IEEE Transactions on Power DeliveryVol. 40(3)
State Grid Corporation of China (China) (CN), Tsinghua University (CN)
Climate action
Openalex Percentile: Top 13%
Thermal Analysis in Power Transmission
2.43
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