Design and Optimization of Particle Traps in DC GIL Based on the Capture Effect Analysis

Abstract

Particle trap is an important measure to restrain the damage of moving metal particles to the insulation of DC gas insulated transmission lines (GIL). However, there is still no clear guiding principle for the design of particle trap in DC GIL, and there is little theoretical research on particle trap. In this paper, a particle trap design, wedge-shaped particle trap, is proposed. Compared with traditional particle trap, the results show that wedge-shaped particle trap can shield the electric field at the bottom of the trap more efficiently and effectively, and can block spherical particles escape. Furtherly, wedge-shaped particle traps are optimized based on particle capture probability. Considering the strong randomness of particle motion, it is difficult to achieve the optimization through experiments, so the simulation based on Monte Carlo idea is used to optimize the trap parameters, and random release of a large number of spherical metal particles to simulate the random collision motion of particles. The trap parameters are optimized with the capture rate as the optimization objective. The results show that when the width of the trap slots is 4 mm and the inclination is 50 degree, the trap have the best acquisition probability. Therefore, The particle trap design optimization method can provide guidance for the design of DC GIL particle traps with different voltage levels.