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

被引:0
作者
Duan, Yubing [1 ]
Zhang, Hao [1 ]
Yong, Jun [2 ]
Yang, Bo [2 ]
Hui, Xiaoli [1 ]
Sung, Xiaobin [2 ]
Meng, Hailei [2 ]
Feng, Xinyan [3 ]
Xu, Yongpeng [4 ]
机构
[1] Shandong Elect Power Res Inst, Jinan 250002, Peoples R China
[2] State Grid Shandong Elect Power Co, Jinan 250002, Peoples R China
[3] State Grid Shandong Elect Power Maintenance Co, Jinan 250000, Peoples R China
[4] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China
来源
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY AND ENVIRONMENTAL SCIENCE 2015 | 2015年 / 31卷
关键词
XLPE cable; partial discharge; the maximum discharge amount distribution; the average discharge amount distribution; the phase distribution of discharge times; phi-Q-N distribution;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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(phi), the average discharge amount distribution H-Qmean(phi), the discharge times phase distribution H-N(phi) as well as phi-Q-N distribution map and so on. The results show that the partial discharge signals produced by different defect model have different statistical characteristics.
引用
收藏
页码:362 / 365
页数:4
相关论文
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