LAPSE:2023.3952
Published Article
LAPSE:2023.3952
A Predictive Model for Dry-Growth Icing on Composite Insulators under Natural Conditions
Xingbo Han, Xingliang Jiang, Zhongyi Yang, Conglai Bi
February 22, 2023
Icing can adversely influence electric power system security. Two main issues are caused by icing: the overload of transmission lines, and the reduction in the insulation ability of the insulators. Most previous research has focused on the flashover characteristics of ice-covered insulators, but research on the icing process of the insulator is seriously lacking. Considering the effect of icing shape, the outer airflow field of an insulator was calculated and the local collision efficiencies of water droplets (β₁) were investigated according to the Lagrange algorithm. The simulation showed that the values of β₁ on the insulator edge and rod are much higher than on the insulator surface, and both were significantly influenced by the wind speed and median volume diameter (MVD) of the water droplets. Based on thermal balance equations, a dynamic dry-growth icing model was established. Using the natural icing conditions of Xuefeng Mountain (China) as an example, validation experiments were conducted on a composite insulator and the climate parameters measured by multi-cylinders were used to model the icing shape and mass. The results indicate that high wind speed and low temperature increase icing rate; the icing was mainly concentrated on the windward side and the greatest horizontal thickness was generally on the insulator edge. The dry-growth model had an average error lower than 25% for icing thickness and an average error lower than 20% for icing mass, which were affected by icing roughness.
Keywords
dry-growth icing, insulator, Modelling, natural conditions
Suggested Citation
Han X, Jiang X, Yang Z, Bi C. A Predictive Model for Dry-Growth Icing on Composite Insulators under Natural Conditions. (2023). LAPSE:2023.3952
Author Affiliations
Han X: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, China
Jiang X: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, China
Yang Z: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, China
Bi C: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, China
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Journal Name
Energies
Volume
11
Issue
6
Article Number
E1339
Year
2018
Publication Date
2018-05-25
Published Version
ISSN
1996-1073
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PII: en11061339, Publication Type: Journal Article
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LAPSE:2023.3952
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doi:10.3390/en11061339
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Feb 22, 2023
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