Research of Partial Discharge Classification Method Based on the Phase Distribution of XLPE Cables

Song Bo Huang; Jun Bo Wang; Yong Peng Xu; Ye Yan; Xiao Xin Chen

doi:10.4028/www.scientific.net/AMM.737.256

Paper Titles

DC MOA Application and Test Technical Analysis
p.237

Bandwidth Prediction for Shared Risk p-Cycles in Power System
p.243

Developed of High Voltage Bushing with New Shielding Technology for High Voltage Switch Cabinet
p.247

Investigation of Cable Partial Discharge Characteristics Based on Weibull Distribution
p.252

Research of Partial Discharge Classification Method Based on the Phase Distribution of XLPE Cables
p.256

Study of Nanjing Demand Side Management Based on Cost-Benefit Analysis - Take Green Lighting as an Example
p.260

Study on the Safety and Quality Management Innovation of Power Transmission and Transformation Projects in Jiangsu Province
p.269

Transmission Network Planning Based on Genetic Algorithm in Market Environment
p.273

A Combined Model Based on Cuckoo Search Algorithm for Electrical Load Forecasting
p.278

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 737Research of Partial Discharge Classification...

Research of Partial Discharge Classification Method Based on the Phase Distribution of XLPE Cables

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 q_s, discharge times n, the average discharge amount q_n and phase distribution function include the maximum discharge amount distribution H_Qmax(φ), the average discharge amount distribution H_Qmean(φ), the discharge times phase distribution H_N(φ) as well as φ-Q-N distribution map and so on. The results show that the partial discharge signals produced by different defect model have different statistical characteristics.

You might also be interested in these eBooks

Applied Energy and Environment Technologies and Materials

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 737)

Pages:

256-259

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.737.256

Citation:

Cite this paper

Online since:

March 2015

Authors:

Song Bo Huang, Jun Bo Wang, Yong Peng Xu, Ye Yan, Xiao Xin Chen*

Keywords:

Average Discharge Amount Distribution, Maximum Discharge Amount Distribution, Partial Discharge (PD), Phase Distribution of Discharge Times, XLPE Cable, φ-Q-N Distribution

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Ge Jing-pang, Qiu Chang-rong et al. Partial discharge measurement. Machinery Industry Press. 1984（6）.

Google Scholar

[2] KIM C S, TANI Y, MIZUTANI T. Investigation of Aging Process with New PD Pulse Parameters[C]. Proceedings of 2001 International Symp. On Electrical Insulation Materials, Japan, 2001: 19-22.

DOI: 10.1109/iseim.2001.973581

Google Scholar

[3] Qian Yong, Huang Cheng-jun, Chen Chen, Huang Fang-neng, Jiang Xiu-Chen. Analysis of the Partial Discharge in Generator Basedon Sk-Ku plot [J]. High Voltage Apparatus，2007(6), Vol. 43, No. 3, 176-179.

Google Scholar

[4] Guo Can-xin, Zhang Li, Qian Yong, Huang Cheng-jun, Yao Lin-peng, Jiang Xiu-chen. Current Status of Partial Discharge Detection and Location Techniques in XLPE Power Cable[J]. High Voltage Apparatus，2009(6)，Vol. 45, No. 3, 56-60.

Google Scholar

[5] E Gulski, F H Kreuger. Computer-aided analysis of discharge patterns[J]. Journal of Physics D: Applied Physics, 1990, Vol. 23, No. 12, 1569-1575.

DOI: 10.1088/0022-3727/23/12/013

Google Scholar