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The Measurement Study and Analysis of Ultraviolet Features of High Voltage Arc and Coronaindoors |
FANG Chen-yan1, 2, 3, LI Qing-ling1, 2, 3, YU Jin-tao1, 2, 3, YIN Da-yi1, 2, 3* |
1. Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China
2. Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
3. University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract With the rapid development of electric power technology, problems about high voltage equipment damage and high voltage line transmission loss caused by arc and corona discharge are increasingly paid more attention to. This paper has done the work about the measurement of arc and corona spectrum with its wavelength from 200 to 1 000 nm. We have found that the arc and corona spectrum intensity distribution is mainly concentrated on ultraviolet waveband, whose band is between 200 to 400 nm. This paper has proposed a way of using ultraviolet focal plane array imaging technology to detect arc and corona discharge. By means of using a set of self-built UV imaging system, wehave successfully got UV images about the targets of high voltage arc and corona in the laboratory, radiometric calibration by xenon lamp integrating sphere and target inversion. The result of experiments shows that this set of UV imaging system can be used on real-time detection for arc and corona discharge. This paper firstly verifies the ultraviolet features of arc and corona, and gets radiance of 5.4×10-6 W·cm-2·sr-1 of 6 kV arc in 240~280 nm ultraviolet band from the distance of 2 m by the means of target inversion, which provides strong supports for further study on the ultraviolet features of arc and corona.
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Received: 2016-02-02
Accepted: 2016-12-20
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Corresponding Authors:
YIN Da-yi
E-mail: yindayi@mail.sitp.ac.cn
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[1] XIAO Dong-ping, HE Wei, XIE Peng-ju, et al(肖冬萍,何 为,谢鹏举,等). Power System Technology(电网技术), 2007, 31(21): 52.
[2] YAO Shu-you, XIONG Lan, WANG Hao-yu, et al(姚树友,熊 兰,王皓宇,等). High Voltage Engineering(高电压技术), 2009, 35(4): 844.
[3] KUANG Lei, GU Yan(匡 蕾,顾 燕). Infrared Technology(红外技术), 2015, 37(11): 986.
[4] LIANG Po, HE Ning, LIAO Xin(梁 坡,何 宁,廖 欣). Laser & Optoelectronics Progress(激光与光电子学进展), 2011, 48(2): 1.
[5] CHENG Jiang-zhou, WANG Si-ying(程江洲,王思颖). Computer Measurement & Control(计算机测量与控制), 2015, 23(4): 1151.
[6] HUANG Shao-ping, YANG Qing, LI Jing(黄绍平,杨 青,李 靖). Proceedings of the CSU-EPSA(电力系统及其自动化学报), 2005, 17(5): 64.
[7] Terzija V,Koglin H. IEE Proceedings of Generator Transmission and Distribution,2002,49(3):319.
[8] Germer L H, Boyle W S. Journal of Applied Phys., 1956, 27(1): 32.
[9] ZHANG Ming-chao, SONG Hui-ying, ZHOU Yue, et al(章明朝,宋慧营,周 跃,等). Opto-Electronic Engineering(光电工程), 2010, 37(4): 135.
[10] ZHOU Shi-chun(周世椿). Advanced Introduction to Infrared Optoelectronics Engineering(高级红外光电工程导论). Beijing: Science Press(北京:科学出版社), 2014. 8, 60. |
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