Online Monitoring Method Based on Locus-analysis for High-voltage Cable Faults

doi:10.23919/CJEE.2019.000019

Chinese Journal of Electrical Engineering ›› 2019, Vol. 5 ›› Issue (3): 42-48.doi: 10.23919/CJEE.2019.000019

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Online Monitoring Method Based on Locus-analysis for High-voltage Cable Faults

Wei Zhao^1,*, Xiangyang Xia¹, Mingde Li², Hai Huang², Shanqiu Chen³, Ruiqi Wang³, Yan Liu¹

1. Department of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410114, China;
2. Hengyang City Commodity Quality Supervision and Inspection, Hengyang 421001, China;
3. Goldcup Electric Apparatus Co., Ltd, Hengyang 421000, China

Online:2019-09-25 Published:2019-12-20
Contact: * Email:747610920@qq.com
About author:Wei Zhao received his B.S. from Hunan University of Science and Technology, Xiangtan, China, in 2017. Currently, he is a master student in Changsha University of Science and Technology. From 2017 to 2018, he had completed a project about power transmission cable fault diagnosis supported by the Natural Science Foundation of Hunan Province, China. His main research fields are power equipment fault diagnosis and control of electric power system.Xiangyang Xia received his B.S. and M.S. degrees from Central South University, Changsha, China, in 1991 and 2004, majored in electrical engineering and control engineering, respectively, and his Ph.D. degree from Hunan University, Changsha, China, in 2009, majored in electrical engineering. Currently, he is a professor in Changsha University of Science and Technology. His research area is the application of electronic technology in power system.Mingde Li received his B.S. degree from Chongqing University, Chongqing, China, in 1990. Currently, he is the director of Hengyang City Commodity Quality Supervision and Inspection Institute. His main work is related to technical research and testing of power transmission products. Hai Huang received his B.S. degree from Harbin University of Science and Technology, Harbin, China, in 2007, and his M.S. degree from Changsha University of Science and Technology, Changsha, China, in 2016. Currently, he is an engineer in Hengyang City Commodity Quality Supervision and Inspection. His main work is related to technical research and testing of power transmission products. Shanqiu Chen received his B.S. degree from Harbin University of Science and Technology, Harbin, China, in 1993. Currently, he is the deputy chief engineer in Goldcup Electric Apparatus Co., Ltd. His main work is related to wire and cable product technology research and development. Ruiqi Wang received his B.S. degree from Harbin University of Science and Technology, Harbin, China, in 2010, and his M.S. degree from Changsha University of Science and Technology, Changsha, China, in 2017. Currently, he is an engineer in Goldcup Electric Apparatus Co., Ltd. His main work is related to wire and cable production.Yan Liu received his B.S. degree from Shenyang Ligong University, Shenyang, China, in 2017. Currently, he is a master student in Changsha University of Science and Technology. From 2017 to 2018, he had completed a project about power transmission cable fault diagnosis supported by the Natural Science Foundation of Hunan Province, China. His main research field includes power equipment fault diagnosis and control of electric power system.E14

Abstract

Abstract: Online diagnosis methods for high-voltage (HV) cable faults have been extensively studied. Power cable fault monitoring is not accurate, and the degree of data fusion analysis of current methods is insufficient. To address these problems, an online monitoring method based on the locus-analysis for HV cable faults is developed. By simultaneously measuring two circulating currents in a coaxial cable, a two-dimensional locus diagram is drawn. The fault criteria and database are established to detect the fault by analyzing the changes of the locus characteristic parameters. A cross-connected grounding simulation model of a high-voltage cable is developed, and several faults at different locations are simulated. Fault identification is established based on the changes in the long axis, short axis, eccentricity, and tilt angle of the track. The simulation and field experiments show that this method can provide an increased amount of fault-monitoring reference information, which can improve the monitoring accuracy and provide a new approach to cable fault monitoring.

Key words: Locus-analysis, high-voltage cable, online monitoring, characteristic parameters

Wei Zhao, Xiangyang Xia, Mingde Li, Hai Huang, Shanqiu Chen, Ruiqi Wang, Yan Liu. Online Monitoring Method Based on Locus-analysis for High-voltage Cable Faults[J]. Chinese Journal of Electrical Engineering, 2019, 5(3): 42-48.

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Online Monitoring Method Based on Locus-analysis for High-voltage Cable Faults

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