Experimental study on the transition process from partial discharge to arc discharge of oil–paper insulation based on fibre‐optic sensors. Issue 2 (1st December 2022)

• Record Type: Journal Article
• Authors: Zhang, Zhixian; Chen, Weigen; Li, Zhengqi; Du, Lin; Jiang, Tianyan; Cai, Nini; Song, Ruimin; Li, Meng; Wang, Jianxin; Wang, Ziyi
• Is Part Of: IET generation, transmission & distribution. Volume 17:Issue 2(2023)
• Page Start: 461
• Page End: 468
• Publication Date: 2022-12-01
• Subjects: acoustic signal processing -- arcs (electric) -- insulation -- partial discharges -- power transformers; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/gtd2.12689
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract: Arc discharge in the power transformer can bring enormous economic losses and safety risks. The transformer protection system for arc discharge faults is still not ideal. The physical characteristics of the whole process from partial discharge defects transition to arc faults are not fully recognized, mainly because it is difficult to establish and sense the relevant characteristic parameters. This paper built a research platform for studying the transition process from partial discharge to early arc discharge based on fibre‐optic ultrasonic, temperature, pressure sensors with traditional electrical voltage and current sensors. Five discharge models are designed and the changing pattern of multiple parameters in the transition process of different models is studied. The experiment results show that the amplitude and frequency of acoustic waves drop significantly after the arc breakdown. Ultrasonic and high‐frequency current sensing in the early warning of arc fault each has its own limitations. The pressure caused by the arc is not only related to the arc energy but also related to the discharge types. The overall oil temperature change after the early arc discharge is small and hard to detect. This work highlights the promise of using fibre‐optic sensors for physical process research within a harsh electromagnetic environment. Abstract : Arc discharge faults in the power transformer can bring enormous economic losses and safety risks. This paper built a research platform for studying the transition process from partial discharge to early arc discharge based on fiber‐optic ultrasonic, temperature, pressure sensors with traditional electrical voltage and current sensors. This work highlights the promise of using fiber‐optic sensors for physical process research within a harsh electromagnetic environment.