Experimental and numerical study on surface streamer evolution in SF<sub>6</sub>/N<sub>2</sub> gas mixtures
Abstract The SF 6 /N 2 gas mixture is a promising alternative to reduce SF 6 usage in the power industry, with surface streamers being the dominant discharge form. This study develops an electrical-optical system based on the Pockels effect to measure the spatiotemporal morphology of surface streamers in pure N 2 and SF 6 /N 2 gas mixtures. In pure N 2 , surface streamers are filamentary with bifurcations. In contrast, in SF 6 /N 2 gas mixtures, the morphology of surface streamers initially appears filamentary and transforms into clusters under alternating current applied voltage. The formation of clustered channels may be explained in terms of the lateral drift and diffusion of the net space charge. Two fluid models analyze the experimental results. The fluid simulation reveals a sheath between the surface streamer and the dielectric surface. The propagating surface streamer floats above the dielectric, with a net space charge layer lying at its bottom, sustaining its propagation through the net-charge-induced field. Due to the presence of the sheath, the surface streamer’s morphology and properties are similar to those of volume streamers. This study enhances the understanding of surface streamer properties in insulating gases.
Authors
- Xin Yang (ORCID: https://orcid.org/0000-0003-1723-6039)
- X. Wang (ORCID: https://orcid.org/0000-0003-4528-5444)
- Zepeng Lv (ORCID: https://orcid.org/0000-0001-5979-8967)
- Zhenyu Wu (ORCID: https://orcid.org/0000-0002-0025-3521)
- X. Q. Hao (ORCID: https://orcid.org/0000-0001-6675-8744)
- Kai Wu (ORCID: https://orcid.org/0000-0003-4684-9758)
- Wei Wang (ORCID: https://orcid.org/0000-0003-0091-8615)
- Yongpeng Meng (ORCID: https://orcid.org/0000-0003-0385-010X)
Institutions
- Electric Power Research Institute (US)
- Economic Research Institute (BG)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Journal of Physics D Applied Physics
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1088/1361-6463/ad9590
- Citations
- 1
- Primary Topic
- Power Transformer Diagnostics and Insulation
- Type
- article
- Field-Weighted Citation Impact
- 0.21