Simulation methodology for the dynamic adsorption effect of micro/nano-dust in gas-insulated switchgears and transmission lines and evaluation of multimode diffusion-induced explosions

作者：Xuan Li, Ning Yang, Yichun Yin, Yuan Wang, Hanwen Ren, Jian Wang, Qingmin Li · 发表于：Journal of Physics D Applied Physics · 年份：2025 · DOI：10.1088/1361-6463/ae1043 · 被引用次数：2 · 研究领域：High voltage insulation and dielectric phenomena、Lightning and Electromagnetic Phenomena、Aerosol Filtration and Electrostatic Precipitation

Abstract Gas-insulated switchgears and lines (GISs/GILs) are critical components in world engineering ‘west-to-east power transmission’ infrastructure and form the physical backbone of the China’ s new national energy strategy. However, operational failures have revealed that friction-induced micro/nanometallic particles from internal components can accumulate and interact with the structural weak points of insulators, leading to abnormal surface discharges. These dust-induced discharges differ significantly from those caused by larger foreign objects, and current detection methods remain insufficient to characterize their complex electrodynamic behaviors or predict discharge risks. To address this challenge, a coupled electro–thermal–fluid multiphysics simulation model for GIS/GIL cavities was developed, incorporating microscale force analysis and particle dynamics to track the motion, dispersion, and surface adsorption of charged dust particles. A particle-tracking algorithm and collision adhesion mechanism were proposed to simulate dust uplift, diffusion, and flashover-triggering behaviors near insulators. Comparative experiments were conducted to investigate the effects of key variables such as initial mass, particle size, material, spatial location, and voltage type on discharge pattern. Based on this, a multifactor hazard assessment double-level framework was further established using gray relational analysis and the entropy weight method. The results indicate that part...