Corona discharge detection based on UV pulse method

Taifei Zhao; Yangfei Lei; Peng Hou

doi:10.1117/12.2268677

8 March 2017 Corona discharge detection based on UV pulse method

Taifei Zhao, Yangfei Lei, Peng Hou

Proceedings Volume 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016; 1025554 (2017) https://doi.org/10.1117/12.2268677
Event: Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 2016, Jinhua, Suzhou, Chengdu, Xi'an, Wuxi, China

Abstract

With the reforming and opening up, as well as the rapid economic development of china, the shortage of electricity resources in the eastern region has become a problem. Therefore, we have started the program of power transmission from west to east, and have speeding up the development of high-voltage transmission technologies with high efficiency, long-distance, and high-capacity. An important issue during the power transmission is the insulation design. Recently, there have been more and more power grid accidents are escalating. Therefore, timely discovering an forecasting insulation deteriorations using advance detection techniques is of special practical significance for the equipment maintenance and repairing , and especially avoiding power accidents. On this basis, this paper carries out the research of high-voltage transmission line corona discharge detection system using the solar blind and FPGA. The experimental result shows that our system can amplify week signals with different intensity of 5100~5000100 times, with high sensitivity and anti-interference ability. The result also proves that this system can effectively detect the ultraviolet pulse light signal of the corona discharge insulation.

Citation Download Citation

Taifei Zhao, Yangfei Lei, and Peng Hou "Corona discharge detection based on UV pulse method", Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 1025554 (8 March 2017); https://doi.org/10.1117/12.2268677

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