Pattern Recognition of Partial Discharge in XLPE Cable Based on Phase Distribution

DOI

10.2991/icaees-15.2015.67How to use a DOI?

Keywords

XLPE cable, partial discharge, the maximum discharge amount distribution, the average discharge amount distribution, the phase distribution of discharge times, -Q-N distribution

Abstract

In order to analysis the type of XLPE cable partial discharge, and grasp characteristics of partial discharge caused by different defects. In this paper, we use a 10kV 30-meter-long XLPE cable and design different types of defects. Then we collect the PD data of different defect model by PD data acquisition system. To characterize Partial discharge signals generated by different defect model by use of discharge capacity qs, discharge times n , the average discharge amount qn and phase distribution function include the maximum discharge amount distribution HQmax( ) , the average discharge amount distribution HQmean( ) , the discharge times phase distribution HN( ) as well as -Q-N distribution map and so on. The results show that the partial discharge signals produced by different defect model have different statistical characteristics.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yubing Duan
AU  - Hao Zhang
AU  - Jun Yong
AU  - Bo Yang
AU  - Xiaoli Hu
AU  - Xiaobin Sun
AU  - Hailei Meng
AU  - Xinyan Feng
AU  - Yongpeng Xu
PY  - 2015/07
DA  - 2015/07
TI  - Pattern Recognition of Partial Discharge in XLPE Cable Based on Phase Distribution
BT  - Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015
PB  - Atlantis Press
SP  - 362
EP  - 365
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaees-15.2015.67
DO  - 10.2991/icaees-15.2015.67
ID  - Duan2015/07
ER  -