The Ultraviolet Detection of Corona Discharge in Power Transmission Lines

Lan Chen, Lin Lin, Mimi Tian, Xingming Bian, Liming Wang, Zhicheng Guan

Graduate School at Shenzhen, Tsinghua University, Shenzhen, China.
Jibei Electric Power Maintence Company, Jibei Electric Power Company, Limited, Beijing, China.

DOI: 10.4236/epe.2013.54B246                

Abstract

Corona discharge is a common phenomenon in power transmission lines external insulation, and it may cause serious defect if without effective detection. The ultraviolet (UV) imagery technology has been widely used to detect the corona discharge in industry in recent years, but some influence factors’ functions are not definite. In this paper, the fracture aluminum strands which is common in power transmission lines were used as the electrode model while a SuperB ultraviolet imager were utilized to detect, the photon count rate was detected with different detect distance, electric field, aluminum strands length and UV gain were applied. Then the multivariate regression analysis (MRA) was taken to calculate the function between the photon count and the factors.

Keywords

Corona Discharge; Transmission Lines; Defect Detection; UV Imager; Multivariate Regression Analysis

Conflicts of Interest

The authors declare no conflicts of interest.

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