A Study on the partial Discharge Characteristics according to the Distribution pattern of voids within LDPE

보이드 분포 형태에 따른 LDPE의 부분 방전 특성 연구

  • Shin, Doo-Seong (Department of Electrical Engineering, Seoul National University) ;
  • Jeon, Seung-Ik (Power Institute of LG cable co.) ;
  • Lee, Jun-Ho (Department of Electrical Engineering, Ho-Seo University) ;
  • Yun, Do-Hong (Department of Electrical Engineering, Seoul National University) ;
  • Han, Min-Koo (Department of Electrical Engineering, Seoul National University)
  • Published : 1995.07.20

Abstract

Internal voids located within an insulation will arise partial discharge that causes local breakdown and even the entire insulation breakdown. For HV apparatuses, it is usual case that several voids are formed within non-uniform electric field condition rather than single void within uniform field, which can be solved analitically. The purpose of this work is to study partial discharge and breakdown characteristics of an insulation according to the distribution pattern of two disc-type voids that are located within non-uniform field. The results from numerical field analysis and experiments show that the electric field within the voids decreases as they are arranged more serially, which accordingly results in the increase of partial discharge inception field(PDIF) much higher than that of single void model. With parallel arranged voids, PDIF is almost the same as that of single void model. On the other hand, AC breakdown strength decreases as voids are arranged more serially, which is a natural result considering the reduction of effective insulation thickness. For parallel voids, this effect cannot he noticed where as they show different pattern compared with single void and serial void models in $\Phi$-Q-N analysis. Considering these results may leads us to the conclusion that, in the evaluation of insulating products through PD test, it is not sufficient to determine only PDIV or existence of PD at predetermined voltage level. We could evaluate more accurately by considering all the available data such as PDIV, PD magnitude, PD occurring phase, number of PD pulses, and etc.

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