Experimental Study on the Effect of Environmental Factors on Corona Discharge Using Ultraviolet Imaging Detection
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Experimental Study on the Effect of Environmental Factors on Corona Discharge Using Ultraviolet Imaging Detection
Vol. 47, Issue 2, Pages: 504-511(2021)
作者机构:
1. 华北电力大学电气与电子工程学院
2. 保定供电公司
作者简介:
基金信息:
DOI:
CLC:
Published Online:28 February 2021,
Published:2021
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WANG Shenghui, LI wei, JIANG Tingyue, et al. Experimental Study on the Effect of Environmental Factors on Corona Discharge Using Ultraviolet Imaging Detection[J]. 2021, 47(2): 504-511.
DOI:
WANG Shenghui, LI wei, JIANG Tingyue, et al. Experimental Study on the Effect of Environmental Factors on Corona Discharge Using Ultraviolet Imaging Detection[J]. 2021, 47(2): 504-511.DOI:
Experimental Study on the Effect of Environmental Factors on Corona Discharge Using Ultraviolet Imaging Detection
In order to study the influences of environmental factors such as temperature
humidity
wind speed and air pressure on the detection of corona discharge ultraviolet imaging
the rod plate gap model is taken as the research object in this paper. The ultraviolet visual frequency signals of AC discharge under different environmental factors are collected by using the CoroCAM504 ultraviolet imager at 70% gain. The experimental results show that the area of the discharge spot increases non-linearly with temperature. The area of the discharge spot decreases with increasing humidity
and a power-law relationship governs this behaviour. At a humidity of 40% to 90%
the power index varies from 1.6 to 2.6. Wind speed weakens coronal discharge: when the wind speed is 12 m/s and the voltage is 50 kV
the discharge spot area is reduced by 76.7% compared with that in windlessl conditions. Air pressure has a significant effect on ultraviolet imaging. The test results in Kunming
Yunnan Province and Baoding
Hebei Province are basically the same as those in the laboratory. On the basis of the above experimental research
the method of normalization of discharge spot area is proposed based on the modified coefficient method
and the corrected relative error is generally less than 20%.