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Analysis of Temperature Rise and Infrared Feature of Faulty Porcelain Insulators under Different Contamination Effects
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Ruixiao Sun1, Yuyao Hu1, Xingliang Jiang2, Richang Xian1, Yu Chen3
Transactions of China Electrotechnical Society | 2025, 40(11) : 3591 - 3603
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Transactions of China Electrotechnical Society | 2025, 40(11): 3591-3603
Analysis of Temperature Rise and Infrared Feature of Faulty Porcelain Insulators under Different Contamination Effects
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Ruixiao Sun1, Yuyao Hu1, Xingliang Jiang2, Richang Xian1, Yu Chen3
Affiliations
  • 1 College of Electric and Electronic Engineering Shandong University of Technology Zibo 255000 China
  • 2 Xuefeng Mountain Energy Equipment Safety National Observation and Research Station Chongqing University Chongqing 400044 China
  • 3 Shandong Huineng Electric Co. Ltd Zibo 255000 China
Published: 2025-06-10 doi: 10.19595/j.cnki.1000-6753.tces.240675
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During the long operational time, porcelain insulators are subjected to a synergistic effect of the electrical, thermal, mechanical stresses, and environmental factors, which causes insulation degradation and lead to low and zero resistance insulators. Compared to traditional methods, infrared imaging has been widely used in the detection of deteriorated insulators and surface contamination because of its advantages of non-stop operation, non-contact and anti-electromagnetic interference. However, there is limited research on the impact of contamination on the heating characteristics of degraded insulators. Moreover, there is a lack of research on the effects of different types of contamination (category A and category B) on the heating characteristics of the insulators and the infrared detection of degraded insulators. In response to the above issues, the effects of contamination level, deterioration resistance and the location of deteriorated unit on infrared detection of the insulators were investigated through field tests and simulation analysis, obtaining the heating patterns of deteriorated insulators under different pollution conditions.

Firstly, the relationship between temperature rise, deterioration and surface contamination was explored through a heating model of porcelain insulator. Secondly, a test platform was built to simulate the operating conditions of 110 kV insulators, and the infrared imaging patterns of insulator strings were analyzed by changing the level of contamination resistance of deteriorated insulator, and the position of degraded insulators in the string. Finally, a thermal-electric coupling model of the insulator was established using finite element method to analyze and calculate the temperature distribution of insulator strings under the combined effects of dielectric loss, conduction current and heat conduction. This model is then used to validate the experimental results.

The results show that the temperature rise of the insulator in the string initially increases and then decreases with the decrease in its resistance. The maximum temperature rise and temperature growth rate of degraded piece with the same resistance value located at the high-voltage end are higher than those of degraded piece located at the medium-voltage end and the ground end, with temperature change rates of 0.093, 0.04 and 0.06, respectively. The overall temperature of steel cap increases with the increase in category A contamination. When the surface wet contamination is relatively light, the temperature variation rate range of each piece in the string is 0.014~0.107, while under severe wet contamination, it ranges from 0.087 to 0.12. The conductivity of fog water (category B contamination) has a significant impact on the temperature rise of the insulator, which increases with the increment of fog water conductivity. Taking the temperature rise under no salt fog condition as the benchmark, the overall average temperature change rates under fog water conductivities of 0.6, 2.2 and 4.1 S/m are 54.9%, 101.2% and 153.9%, respectively.

The following conclusions can be drawn from the test results and simulation analysis: (1) The impact of dry contamination on the heating of deteriorated insulator is negligible. Under conditions of fixed category B contamination, the effect of category A wet contamination on heating is related to the position of deteriorated piece in the string. Furthermore, as the degree of wet contamination increases, the temperature of each piece tends to be consistent. (2) Fog water conductivity (category B contamination) has an additional effect on salt deposit density, which further affects the temperature rise of the insulator by increasing the number of conductive ions. There is a saturation phenomenon in insulator temperature rise in salt fog environments. (3) The excessive humidity can cause disordered temperature changes on the insulator surface, therefore, humidity greater than 90% is not considered during the detection. The leeward side, with small amount of contamination, is selected as the infrared observation position to more clearly diagnose deteriorated insulator in the string.

Category A/B contamination  /  faulty insulator  /  heating characteristics  /  infrared imaging  /  temperature rise
Ruixiao Sun, Yuyao Hu, Xingliang Jiang, Richang Xian, Yu Chen. Analysis of Temperature Rise and Infrared Feature of Faulty Porcelain Insulators under Different Contamination Effects[J]. Transactions of China Electrotechnical Society, 2025 , 40 (11) : 3591 -3603 . DOI: 10.19595/j.cnki.1000-6753.tces.240675
Year 2025 volume 40 Issue 11
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doi: 10.19595/j.cnki.1000-6753.tces.240675
  • Receive Date:2024-04-29
  • Online Date:2025-11-06
  • Published:2025-06-10
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  • Received:2024-04-29
  • Revised:2024-07-14
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Affiliations
    1 College of Electric and Electronic Engineering Shandong University of Technology Zibo 255000 China
    2 Xuefeng Mountain Energy Equipment Safety National Observation and Research Station Chongqing University Chongqing 400044 China
    3 Shandong Huineng Electric Co. Ltd Zibo 255000 China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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