Application Analysis of Automatic Detection Technology for Insulation Defects in Distribution Network Cables

doi:10.3969/j.issn.1008-0198.2025.04.013

Hunan Electric Power ›› 2025, Vol. 45 ›› Issue (4): 90-95.doi: 10.3969/j.issn.1008-0198.2025.04.013

• Power Grid Operation and Control • Previous Articles Next Articles

Application Analysis of Automatic Detection Technology for Insulation Defects in Distribution Network Cables

WANG Tuo, LI Yongpeng

State Grid Yulin High tech Zone Power Supply Company, Yulin 719000, China

Received:2025-05-28 Revised:2025-06-14 Online:2025-08-25 Published:2025-09-05

Abstract

Abstract: In order to achieve automatic detection of insulation defects in distribution network cables, a 10kV single-core cable is taken as the target, and the uneven characteristics of magnetic field and the generation principle of current harmonics in the metal shielding layer are studied in the presence of insulation defects of cables, and the stability of the application of automatic detection technology for cable insulation defects is verified through simulation analysis and experiments. The harmonic data automation analysis technology based on the mean clustering algorithm is used to realize rapid detection and location of cable insulation defects, initially realizing the automated charged insulation detection and providing support for improving the stability and safety of power supply.

Key words: distribution network cable, insulation defects, harmonic current, shielding layer, defect detection

CLC Number:

TM855.2

WANG Tuo, LI Yongpeng. Application Analysis of Automatic Detection Technology for Insulation Defects in Distribution Network Cables[J]. Hunan Electric Power, 2025, 45(4): 90-95.

References

[1] 苗旺,陈平,任志刚,等. 电流谐波法在电力电缆状态检测诊断的应用进展[J]. 电力系统及其自动化学报,2021,33(3):73-80.
[2] 聂永杰,赵现平,李盛涛. XLPE电缆状态监测与绝缘诊断研究进展[J]. 高电压技术,2020,46(4):1361-1371.
[3] 王洪雨. 基于典型缺陷的高压电缆局放交流特性与直流特性研究[D]. 武汉:华中科技大学,2022.
[4] 聂永杰,王威望,李欣原,等. 基于电流积分电荷技术的神经网络-模糊聚类电缆绝缘热老化状态评估模型[J]. 高电压技术,2022,48(12):4760-4769.
[5] 芦山,郭瑞宙,晋涛,等. 基于有限元模型的高压直流变换器谐波下电缆绝缘局部放电特性仿真研究[J]. 绝缘材料,2020,53(3):50-57.
[6] 靳雪君. 基于谐波特征的电缆绝缘带电诊断技术[D]. 北京:北方工业大学,2022.
[7] 赵岩,郑书生. 基于损耗电流谐波特征分析的XLPE电缆局部尖刺缺陷诊断[J]. 电工技术学报,2023,38(21):5725-5737.
[8] 张伟,胡修翠,高超,等. 长期服役XLPE电缆绝缘的空间电荷与热性能[J]. 高电压技术,2022,48(9):3533-3541.
[9] 吕立翔,杨卓然,姚天翼,等. 芳香族化合物含量对交联聚乙烯绝缘电树枝及局部放电特性的影响[J]. 高电压技术,2023,49(5):1949-1957.
[10] 郭瑞宙,王天正,杨罡,等. 电缆绝缘缺陷与电流谐波成分特性关系分析[J]. 绝缘材料,2020,53(2):102-108.
[11] 张云鹏,杨新生,邵定国,等. 基于自适应区域分解的电磁场有限元求解方法研究[J]. 高电压技术,2022,48(7):2754-2761.
[12] 邓繁盛,高嫄,李秀峰,等. 基于电-热-力场的10 kV电缆终端典型缺陷仿真研究[J]. 绝缘材料,2023,56(3):100-106.
[13] 肖豪龙,臧欣,梁文武,等. 变电站二次电缆绝缘缺陷原因分析与治理措施研究[J]. 湖南电力,2022,42(2):94-97.
[14] 王晓威. XLPE电缆绝缘热老化的高压频域介电特性研究[D]. 保定:华北电力大学,2021:5-11.
[15] 徐启龙. XLPE电缆水分侵入型缺陷高压频域介电谱特性及诊断[D]. 保定:华北电力大学,2021:6-15.
[16] 刘鑫耿,孟晓凯,韩培洁. 基于高压频域介电谱的电缆绝缘状态诊断与评估[J]. 山西电力,2025(2):18-24.
[17] 孙建宇,陈绍平,沙菁,等. 电缆用交联聚乙烯热老化寿命评估和预测[J]. 电机与控制学报,2022,26(6):31-39.
[18] 李盛涛,王诗航,杨柳青,等. 高压电缆交联聚乙烯绝缘的关键性能与基础问题[J]. 中国电机工程学报,2022,42(11):4247-4255.
[19] 吴晶晶,陈丽安,严有祥,等. ±500 kV高压直流XLPE电缆温度分布及其影响因素研究[J]. 高压电器,2023,59(2):113-119.
[20] 段玉兵,徐庆文,罗文,等. 不同运行年限高压电缆XLPE绝缘特性及温度场仿真研究[J]. 山东电力技术,2025,52(4):81-88.

Application Analysis of Automatic Detection Technology for Insulation Defects in Distribution Network Cables

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 3

Recommended Articles

Metrics

Comments

[1]	YAO Chunmei, XI Yanhui. A Method of Real-Time Insulator Defect Detection Based on Improved YOLOv5s Algorithm [J]. Hunan Electric Power, 2025, 45(4): 119-125.
[2]	ZHANG Yike, ZHANG Jun, MO Jian, ZHANG Xuewu, ZHANG Zhen. Underwater Detection Technology of Hydraulic Structure With Multi-Equipment Integration [J]. Hunan Electric Power, 2025, 45(3): 35-41.
[3]	MO Jian, ZHANG Zhen, ZHANG Jun, ZHANG Hongqiang. Research and Development of Underwater Inspection and Detection Platform for Hydraulic Structures [J]. Hunan Electric Power, 2025, 45(3): 141-146.