Internal hot spot temperature inversion method of 500 kV arrester under damp condition

doi:10.19781/j.issn.1673-9140.2023.04.021

Home > Archive>Volume 38, Issue 4, 2023 >198-204. DOI:10.19781/j.issn.1673-9140.2023.04.021

Internal hot spot temperature inversion method of 500 kV arrester under damp condition
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                        10.19781/j.issn.1673-9140.2023.04.021
                    
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                        PENG Jingzhang1PENG Jingzhang
Huangshi Power Supply Company, State Grid Hubei Electric Power Co.,Ltd., Huangshi 435000, China
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ZHANG Zaihua1ZHANG Zaihua
Huangshi Power Supply Company, State Grid Hubei Electric Power Co.,Ltd., Huangshi 435000, China
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WU Fengliang1WU Fengliang
Huangshi Power Supply Company, State Grid Hubei Electric Power Co.,Ltd., Huangshi 435000, China
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LIU Bo2,3LIU Bo
NARI Group Co.,Ltd. (State Grid Electric Power Research Institute), Nanjing 211106, China;Wuhan NARI Co.,Ltd., State Grid Electric Power Research Institute,Wuhan 430074, China
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SHEN Yue4SHEN Yue
College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
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LI Peng4LI Peng
College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
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WU Tian4WU Tian
College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
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Affiliation:(1.Huangshi Power Supply Company, State Grid Hubei Electric Power Co.,Ltd., Huangshi 435000, China;2.NARI Group Co.,Ltd. (State Grid Electric Power Research Institute), Nanjing 211106, China;3.Wuhan NARI Co.,Ltd., State Grid Electric Power Research Institute,Wuhan 430074, China;4. College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China)
Clc Number:TM863
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Abstract:

Accurately predicting the internal hot spot temperature can improve the damp fault inspection effect of arrester effectively. An inversion detection method of hot spot temperature inside 500 kV arrester based on surface temperature and SVM (support vector machine) is proposed. Taking the surface temperature of arrester and wind speed as inputs, the inversion of hot spot temperature inside arrester is realized. In order to improve the prediction accuracy of the proposed model, the influences of the grid search (GS) and particle swarm optimization (PSO) algorithms on inversion accuracy are compared. The results show that the GS?SVM model is of good inversion performance. The maximum and minimum errors between the internal hot spot temperature obtained by the inversion method and the actual values are 4.00 ℃ and 0.01 ℃ respectively, which proves the effectiveness of the inversion model.

Key words:MOA;hot spot temperature;damp;temperature inversion;SVM

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彭劲樟,张再华,吴风亮,刘波,沈越,黎鹏,吴田.500 kV避雷器受潮条件下内部热点温度反演方法[J].电力科学与技术学报英文版,2023,38(4):198-204. PENG Jingzhang, ZHANG Zaihua, WU Fengliang, LIU Bo, SHEN Yue, LI Peng, WU Tian. Internal hot spot temperature inversion method of 500 kV arrester under damp condition[J]. Journal of Electric Power Science and Technology,2023,38(4):198-204.

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Online: November 06,2023
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