Radial Temperature Distribution Characteristics of Long-Span Transmission Lines Under Forced Convection Conditions

This study proposes an iterative method based on thermal equilibrium equations to calculate the radial temperature distribution of long-span overhead transmission lines under forced convection. This paper takes the ACSR 500/280 conductor as the research object, establishes the three-dimensional finite element model considering the helix angle of the conductor, and carries out the experimental validation for the LGJ 300/40 conductor under the same conditions. The model captures internal temperature distribution through contour analysis and examines the effects of current, wind speed, and ambient temperature. Unlike traditional models assuming uniform conductor temperature, this method reveals internal thermal gradients and introduces a novel three-stage radial attenuation characterization. The iterative method converges and accurately reflects temperature variations. The results show a non-uniform radial distribution, with a maximum temperature difference of 8 °C and steeper gradients in aluminum than in steel. Increasing current raises temperature nonlinearly, enlarging the radial difference. Higher wind speeds reduce both temperature and radial difference, while rising ambient temperatures increase conductor temperature with a stable radial profile. This work provides valuable insights for the safe operation and optimal design of long-span transmission lines and supports future research on dynamic and environmental coupling effects.

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Publication Details

Journal
Processes
Published
2025-07-16
DOI
https://doi.org/10.3390/pr13072273
Primary Topic
Thermal Analysis in Power Transmission
Type
article
Field-Weighted Citation Impact
0.00

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article

Radial Temperature Distribution Characteristics of Long-Span Transmission Lines Under Forced Convection Conditions

Zhangjun Liu, C. S. Song, Feng Wang, Xinghua Chen
Processes
Thermal Analysis in Power Transmission
article

Radial Temperature Distribution Characteristics of Long-Span Transmission Lines Under Forced Convection Conditions

Zhangjun Liu, C. S. Song, Feng Wang, Xinghua Chen
article en

Abstract

This study proposes an iterative method based on thermal equilibrium equations to calculate the radial temperature distribution of long-span overhead transmission lines under forced convection. This paper takes the ACSR 500/280 conductor as the research object, establishes the three-dimensional finite element model considering the helix angle of the conductor, and carries out the experimental validation for the LGJ 300/40 conductor under the same conditions. The model captures internal temperature distribution through contour analysis and examines the effects of current, wind speed, and ambient temperature. Unlike traditional models assuming uniform conductor temperature, this method reveals internal thermal gradients and introduces a novel three-stage radial attenuation characterization. The iterative method converges and accurately reflects temperature variations. The results show a non-uniform radial distribution, with a maximum temperature difference of 8 °C and steeper gradients in aluminum than in steel. Increasing current raises temperature nonlinearly, enlarging the radial difference. Higher wind speeds reduce both temperature and radial difference, while rising ambient temperatures increase conductor temperature with a stable radial profile. This work provides valuable insights for the safe operation and optimal design of long-span transmission lines and supports future research on dynamic and environmental coupling effects.

ProcessesVol. 13(7)
China Three Gorges University (CN), Wuhan Institute of Technology (CN)
National Natural Science Foundation of China, Higher Education Discipline Innovation Project
Affordable and clean energy
Openalex Percentile: Top 80%
Thermal Analysis in Power Transmission
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Radial Temperature Distribution Characteristics of Long-Span Transmission Lines Under Forced Convection Conditions — Zhangjun Liu, C. S. Song, et al. · Processes (2025) | TGRS Research Map | TGRS