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Multi-source partial discharge detection method based on pulse current method and ultraviolet pulse method
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Zhixiong SU1, Kang SUN1, Hao DING2, Zhousheng ZHANG1
Insulating Materials | 2024, 57(1) : 101 - 108
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Insulating Materials | 2024, 57(1): 101-108
• Test and Analysis •
Multi-source partial discharge detection method based on pulse current method and ultraviolet pulse method
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Zhixiong SU1, Kang SUN1, Hao DING2, Zhousheng ZHANG1
Affiliations
  • 1College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
  • 2State Grid Yancheng Dafeng District Power Supply Company, Yancheng 224100, China
Published: 2024-01-20 doi: 10.16790/j.cnki.1009-9239.im.2024.01.015
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In this paper, a multi-source partial discharge diagnosis method based on joint detection of pulse current method and ultraviolet pulse method was presented. A multi-source partial discharge experimental platform of switchgear was constructed for four basic defect models. The characteristics of partial discharge information obtained by joint detection were extracted and a database was constructed, and then the discharge types were identified by k-nearest neighbor (KNN) algorithm and directed acyclic graph SVMs (DAG-SVMs) algorithm. The results show that the change of discharge number and discharge quantity in discharge pattern measured by pulse current method are related to the defect type in model. The existence of void and surface defects will increase the discharge quantity and pattern symmetry, and the existence of corona defect will increase the discharge number. The discharge pulse number measured by ultraviolet pulse method is related to the defect number in multisource discharge model and the ratio of ultraviolet to visible light. The higher the number of defects and the ratio of ultraviolet to visible light, the larger the discharge pulse number. The recognition accuracy of the KNN algorithm can reach up to 99.67%.

switchgear  /  multi-source discharge  /  KNN  /  DAG-SVMs  /  pulse current method  /  ultraviolet pulse method
Zhixiong SU, Kang SUN, Hao DING, Zhousheng ZHANG. Multi-source partial discharge detection method based on pulse current method and ultraviolet pulse method[J]. Insulating Materials, 2024 , 57 (1) : 101 -108 . DOI: 10.16790/j.cnki.1009-9239.im.2024.01.015
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Article Info
doi: 10.16790/j.cnki.1009-9239.im.2024.01.015
  • Receive Date：2023-02-08
  • Online Date：2025-12-22
  • Published：2024-01-20
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History
  • Received：2023-02-08
  • Revised：2023-03-23
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Affiliations
    1College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
    2State Grid Yancheng Dafeng District Power Supply Company, Yancheng 224100, China
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https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2024.01.015
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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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