The study on dynamic simulation of metal particles randomly and the
driving efficiency of drive electrodes for high voltage DC GIL
Abstract
It is important to solve the problem of metal particle pollution inside
the DC GIL. Using numerical simulation to calculate the trajectory of
metal particles is an important method of designing particle traps and
drive electrodes. In this paper, a 3D simulation method of dynamic
particle motion randomly based on quadratic Rodrigues’ rotation is
proposed to solve the trajectory of metal particles inside the DC GIL,
considering the random reflection. Based on this model, the influence
characteristics of random reflection angle, gravity inclination,
particle size and other factors on particle motion are analyzed. From
the results, the trapping efficiency of particle traps becomes weaker
under the effect of gravity, and particles with larger sizes are more
likely to escape. The drive electrodes set at the high voltage conductor
can prevent particles from crossing the drive electrode. It can
effectively improve the capture efficiency of the particle trap and
increase the capture-escape ratio more than 45.9%.