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Published in:
2021 | OriginalPaper | Chapter
Analysis of Automatic Detection Technology for Abnormal Faults of Cable Nodes in Smart Grid
Authors : Qingyun Hu, Yingmin Huang, Cuishan Xu, Shengquan Li, Hanfeng Zou
Published in: Big Data Analytics for Cyber-Physical System in Smart City
Publisher: Springer Singapore
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Abstract
The science and technology and society in China are gradually developing, and the demand for electrical energy is gradually increasing, and there are more and more domestic smart grid constructions. The abnormality of the grid cable has a direct impact on the power supply. In order to better improve the detection capability for abnormal fault of grid cable, the automatic detection technology is performed based on the cable nodes in smart grid. It is an identification based on the abnormal spectrum existing in the current transmission of power grid, and intelligent extraction is carried out, so that the abnormal fault nodes of each cable can be automatically detected, and the fusion of abnormal fault of cable nodes is established. The author first analyzes the faults of cable in smart grid, then analyzes the simulation experiment, and finally applies the automatic detection technology to the abnormal faults of cable nodes in smart grid.