A Predictive Model for Dry-Growth Icing on Composite Insulators under Natural Conditions

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 res...

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Main Authors: Xingbo Han, Xingliang Jiang, Zhongyi Yang, Conglai Bi
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/11/6/1339
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author Xingbo Han
Xingliang Jiang
Zhongyi Yang
Conglai Bi
author_facet Xingbo Han
Xingliang Jiang
Zhongyi Yang
Conglai Bi
author_sort Xingbo Han
collection DOAJ
description 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.
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spelling doaj.art-eaf43bfe398a4c53835a9ae3f97c64442022-12-22T02:54:30ZengMDPI AGEnergies1996-10732018-05-01116133910.3390/en11061339en11061339A Predictive Model for Dry-Growth Icing on Composite Insulators under Natural ConditionsXingbo Han0Xingliang Jiang1Zhongyi Yang2Conglai Bi3State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, ChinaIcing 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.http://www.mdpi.com/1996-1073/11/6/1339insulatordry-growth icingmodellingnatural conditions
spellingShingle Xingbo Han
Xingliang Jiang
Zhongyi Yang
Conglai Bi
A Predictive Model for Dry-Growth Icing on Composite Insulators under Natural Conditions
Energies
insulator
dry-growth icing
modelling
natural conditions
title A Predictive Model for Dry-Growth Icing on Composite Insulators under Natural Conditions
title_full A Predictive Model for Dry-Growth Icing on Composite Insulators under Natural Conditions
title_fullStr A Predictive Model for Dry-Growth Icing on Composite Insulators under Natural Conditions
title_full_unstemmed A Predictive Model for Dry-Growth Icing on Composite Insulators under Natural Conditions
title_short A Predictive Model for Dry-Growth Icing on Composite Insulators under Natural Conditions
title_sort predictive model for dry growth icing on composite insulators under natural conditions
topic insulator
dry-growth icing
modelling
natural conditions
url http://www.mdpi.com/1996-1073/11/6/1339
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AT conglaibi apredictivemodelfordrygrowthicingoncompositeinsulatorsundernaturalconditions
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