直流交联聚乙烯电缆泄漏电流试验特性研究

doi:10.19595/j.cnki.1000-6753.tces.180075

Abstract
Figure/Table
References (0)
Related Citation (11)

Download: PDF (2112 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract

To study the leakage current characteristics of cross linked polyethylene cables with insulation defects at DC voltage, four types of typical insulation defects, including scratch on the insulation surface, metal burr, cavity inside insulation and semiconducting layer residual, were fabricated using XLPE cables. The distribution characteristics of electric fields and conductivity with different defects were simulated. Leakage current test under step-wise DC voltage was conducted. The relationship between steady-state leakage current and voltage was discussed and the leakage current-time curves were analyzed. The simulation and experimental results show that the metal burr defects have the most serious conductivity and electric field distortions, scratch defect and cavity defect take the second place; the growth rate of the leakage current of the burr defect is obviously accelerated with the increase of voltage; the fluctuation of leakage current increases with voltage increase, but the fluctuation of leakage current of the scratched and burr defects decreases after the voltage rises to a certain extent; the energy of wavelet packet nodes of different defects are different.

Key words： Cross linked polyethylene cable DC leakage current experimental characteristics electric field simulation wavelet packet analysis

Received: 16 January 2018 Published: 10 January 2019

PACS:

TM247

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Huang Guanglei
	Li Zhe
	Yang Fengyuan
	Sheng Gehao
	Jiang Xiuchen

Cite this article:

Huang Guanglei,Li Zhe,Yang Fengyuan等. Experimental Research on Leakage Current of DC Cross Linked Polyethylene Cable[J]. Transactions of China Electrotechnical Society, 2019, 34(1): 192-201.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.180075 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/I1/192

[1] 杜伯学, 李忠磊, 杨卓然, 等. 高压直流交联聚乙烯电缆应用与研究进展[J]. 高电压技术, 2017, 43(2): 344-354.Du Boxue, Li Zhonglei, Yang Zhuoran, et al. Application and research progress of HVDC XLPE cables[J]. High Voltage Engineering, 2017, 43(2): 344-354.
[2] 乐彦杰, 俞恩科, 陈国志, 等. 基于优化模型的直流电缆雷电冲击电压试验波形参数控制[J]. 电工技术学报, 2017, 32(17): 225-234.Le Yanjie, Yu Enke, Chen Guozhi, et al. Parameter control of lightning impulse voltage test waveform for DC power cable based on optimization model[J]. Transactions of China Electrotechnical Society, 2017, 32(17): 225-234.
[3] 周远翔, 赵健康, 刘睿, 等. 高压/超高压电力电缆关键技术分析及展望[J]. 高电压技术, 2014, 40(9): 2593-2612. Zhou Yuanxiang, Zhao Jiankang, Liu Rui, et al. Key technical analysis and prospect of high voltage and extra-high voltage power cable[J]. High Voltage Engineering, 2014, 40(9): 2593-2612.
[4] 图厄. 电力电缆工程[M]. 孙建生, 徐晓峰, 译. 3版.北京: 机械工业出版社, 2014.
[5] Shinoda C, Hashizume T, Tani T, et al.A consideration of mechanism of DC leakage current peak in XLPE cables[C]//Proceedings of 5th International Conference on Properties and Applications of Dielectric Materials, Seoul, 1997: 402-405.
[6] Ghorbani H, Saltzer M, Olsson C.Observation of non-monotonic dependence of leakage current with temperature during thermal cycling[C]//Proceedings of the 2016 IEEE Electrical Insulation Conference (EIC), Montreal, 2016: 488-491.
[7] Muto H, Yamashita Y, Maruyuma Y, et al.A study on leakage current characteristics of field aged XLPE cable[C]//Proceedings of the 3rd International Conference on Properties and Applications of Dielectric Materials, Tokyo, 1991: 494-497.
[8] 司马文霞, 李璟延, 孙才新. 染污绝缘子污闪全过程泄漏电流波形及谐波特性分析[J]. 高电压技术, 2010, 36(5): 1101-1106. Sima Wenxia, Li Jingyan, Sun Caixin. Development on the frequency domain of leakage currents during discharge detection for contamination insulators[J]. High Voltage Engineering, 2010, 36(5): 1101-1106.
[9] 蒋兴良, 赵世华, 张志劲, 等. 覆冰绝缘子串泄漏电流与覆冰量及覆冰水电导率的关系[J]. 电工技术学报, 2014, 29(10): 296-303, 311. Jiang Xingliang, Zhao Shihua, Zhang Zhijin, et al. Relationship between leakage current of ice-covered insulators icing weight, and icing water conductivity[J]. Transactions of China Electrotechnical Society, 2014, 29(10): 296-303, 311.
[10] 刘琴, 万小东, 徐涛, 等. 长串绝缘子高海拔人工污秽试验泄漏电流分析[J]. 高电压技术, 2016, 42(12): 3797-3802. Liu Qin, Wan Xiaodong, Xu Tao, et al. Leakage current analysis of long string insulators under high-altitude artificial pollution tests[J]. High Voltage Engineering, 2016, 42(12): 3797-3802.
[11] 许刚, 谈元鹏, 黄琳. 基于低秩矩阵填充的XLPE电力电缆寿命评估[J]. 电工技术学报, 2014, 29(12): 268-276. Xu Gang, Tan Yuanpeng, Huang Lin. Low-rank matrix completion based lifetime evaluation of XLPE power cable[J]. Transactions of China Electrotechnical Society, 2014, 29(12): 268-276.
[12] 张涛, 雷勇, 朱英伟, 等. 基于非线性的水树老化XLPE电缆绝缘状态评估[J]. 绝缘材料, 2017, 50(2): 46-52. Zhang Tao, Lei Yong, Zhu Yingwei, et al. Insulation state evaluation of water-tree aged XLPE cables based on nonlinear characteristics[J]. Insulation Materials, 2017, 50(2): 46-52.
[13] 黄明, 周凯, 杨滴, 等. 在线注入有机硅修复液对交联聚乙烯电缆中水树生长的影响[J]. 电工技术学报, 2016, 31(21): 176-182. Huang Ming, Zhou Kai, Yang Di, et al. Effect of on-line rejuvenation on water tree propagation in XLPE cables[J]. Transactions of China Electrotechnical Society, 2016, 31(21): 176-182.
[14] 雷勇, 蒋世超, 周凯, 等. 基于极化-去极化电流方法的交联聚乙烯电缆绝缘无损检测[J]. 高电压技术, 2015, 41(8): 2643-2649. Lei Yong, Jiang Shichao, Zhou Kai, et al. Non-destructive detection of XLPE cable insulation based on the method of polarization-depolarization current[J]. High Voltage Engineering, 2015, 41(8): 2643-2649.
[15] Jeroense M.Charges and discharges in HVDC cables-in particular in mass-impregnated HVDC cables[M]. Delft, the Netherlands: Delft University Press, 1997.
[16] Leroy S, Segur P, Teyssedre G, et al.Description of bipolar charge transport in polyethylene using a fluid model with a constant mobility: model prediction[J]. Journal of Physics D: Applied physics, 2003, 37(2): 298.
[17] Boggs S, Damon D, Hjerrild J, et al.Effect of insulation properties on the field grading of solid dielectric DC cable[J]. IEEE Transactions on Power Delivery, 2001, 16(4): 456-461.
[18] 杨丰源, 许永鹏, 郑新龙, 等. 直流下交联聚乙烯电缆局部放电的试验特性研究[J]. 中国电机工程学报, 2016, 36(24): 6702-6710, 6923.Yang Fengyuan, Xu Yongpeng, Zheng Xinlong, et al. Test research on DC partial discharges of cross linked polyethylene cable[J]. Proceedings of the CSEE, 2016, 36(24): 6702-6710, 6923.
[19] Kreuger F.Industrial high DC voltage[M]. Delft, the Netherlands: Delft University Press, 1995.
[20] 于生宝, 何建龙, 王睿家, 等. 基于小波包分析和概率神经网络的电磁法三电平变换器故障诊断方法[J]. 电工技术学报, 2016, 31(17): 102-112. Yu Shengbao, He Jianlong, Wang Ruijia, et al. Fault diagnosis of electromagnetic three-level inverter based on wavelet packet analysis and probabilistic neural networks[J]. Transactions of China Electrotechincal Society, 2016, 31(17): 102-112.
[21] 陈伟根, 谢波, 龙震泽, 等. 基于小波包能量熵的油纸绝缘气隙放电阶段识别[J]. 中国电机工程学报, 2016, 36(2): 563-569. Chen Weigen, Xie Bo, Long Zhenze, et al. Stage identification in air-gap discharge of oil-impregnated paper insulation based on wavelet packet[J]. Proceedings of the CSEE, 2016, 36(2): 563-569.
[22] 甘醇, 吴建华, 杨仕友. 基于小波包能量分析的开关磁阻电机功率变换器故障诊断[J]. 中国电机工程学报, 2014, 34(9): 1415-1422. Gan Chun, Wu Jianhua, Yang Shiyou. Fault diagnosis of power converters for switched reluctance motors based on wavelet packet energy analysis[J]. Proceedings of the CSEE, 2014, 34(9): 1415-1422.
[23] 袁莉芬, 孙业胜, 何怡刚, 等. 基于小波包优选的模拟电路故障特征提取方法[J]. 电工技术学报, 2018, 33(1): 158-165.Yuan Lifen, Sun Yesheng, He Yigang, et al. Fault feature extraction method for analog circuit based on preferred wavelet packet[J]. Transactions of China Electrotechincal Society, 2018, 33(1): 158-165.