Fault prediction of gas-insulated system with hypersensitive optical monitoring and spectral information. (July 2020)

• Record Type: Journal Article
• Authors: Ren, Ming; Zhang, Chongxing; Dong, Ming; He, Zhengquan
• Is Part Of: International journal of electrical power & energy systems. Volume 119(2020)
• Publication Date: 2020-07
• Subjects: Gas-insulated system -- Fault prediction -- Condition monitoring -- Spectral information -- HVDC; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2020.105945
• Languages: English
• ISSNs: 0142-0615

Abstract

Graphical abstract: Highlights: A hypersensitive spectral sensor array was developed for discharge monitoring. A multispectral discharge fault diagnosis strategy was proposed, independently of phase-resolved statistics. A quantitative risk evaluation was realized based on spectral evolution. Abstract: Hazardous discharge is the primary threat to power apparatus. Utilizing the fact that discharge is companied by intrinsic light radiation in specific spectral bands, a micro ternary spectral hypersensitive sensor array is developed for condition monitoring and fault prediction. With this new concept, a multispectral diagnosis strategy is proposed and implemented on a gas-insulated system, demonstrating significant potential for fault classification as well as quantitative risk evaluation, circumventing the necessities of phase-resolved statistics and complex denoising algorithms which are the most challenging but necessary aspects for traditional discharge diagnosis. Thus, it is an intrinsic and stable approach for practical fault prediction, especially for HVDC gas-insulated system.