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Intelligent prediction of switching impulse discharge voltage in rod-plane long air gaps at different atmospheric environments
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Zhibin QIU, Yu SONG, Zijian WU, Wenhao CHEN
Insulating Materials | 2024, 57(9) : 106 - 113
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Insulating Materials | 2024, 57(9): 106-113
Insulation Technology
Intelligent prediction of switching impulse discharge voltage in rod-plane long air gaps at different atmospheric environments
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Zhibin QIU, Yu SONG, Zijian WU, Wenhao CHEN
Affiliations
  • Department of Energy and Electrical Engineering, Nanchang University, Nanchang 330031, China
Published: 2024-09-20 doi: 10.16790/j.cnki.1009-9239.im.2024.09.011
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Air discharge results from the interaction between electric field and atmospheric environment, therefore the air gap switching impulse discharge voltage is affected by the interelectrode electric field distribution and the atmospheric parameters. In order to calculate the discharge voltage of rod-plane long air gaps at high altitude areas, we construct an insulation prediction model based on k-nearest neighbor (KNN) algorithm with air pressure, temperature, humidity, altitude, and electric field characteristic parameters as feature set. The KNN algorithm was trained by the test data in the altitude range of 55-4 300 m to establish the mapping relationship between air gap features and the insulation strength, and then discharge voltage prediction of rod-plane air gaps at the high altitude of 5 000 m with different gap distances was realized. The maximum relative error and the mean absolute percentage error are 8.58% and 3.78%, respectively, which verifies the effectiveness of the proposed method. When the model was extrapolated to the rod-plane air gaps in plain area under different atmospheric parameters, the predicted discharge voltages also had good agreement with the experimental values. This study results can provide references for the calculation of air gap insulation strength in different atmospheric environment.

long air gap  /  atmospheric parameters  /  electric field distribution  /  discharge voltage prediction
Zhibin QIU, Yu SONG, Zijian WU, Wenhao CHEN. Intelligent prediction of switching impulse discharge voltage in rod-plane long air gaps at different atmospheric environments[J]. Insulating Materials, 2024 , 57 (9) : 106 -113 . DOI: 10.16790/j.cnki.1009-9239.im.2024.09.011
Year 2024 volume 57 Issue 9
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Article Info
doi: 10.16790/j.cnki.1009-9239.im.2024.09.011
  • Receive Date:2023-11-03
  • Online Date:2025-12-24
  • Published:2024-09-20
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  • Received:2023-11-03
  • Revised:2023-12-13
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    Department of Energy and Electrical Engineering, Nanchang University, Nanchang 330031, China
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https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2024.09.011
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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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