Research and Application of Fault Early Warning and Location Device for Low-voltage Distribution Network Based on Edge Computing

• Published in: 2022 China International Conference on Electricity Distribution (CICED) pp. 1342 - 1348
• Main Author: Hu, Guirong
• Format: Conference Proceeding
• Language: English
• Published: IEEE 07.09.2022
• Subjects: Data analysis; Distribution networks; Edge computing; Fault early warning; Fault location; Image edge detection; Low voltage; Low voltage distribution network; Power grids; Voltage
• ISSN: 2161-749X
• DOI: 10.1109/CICED56215.2022.9928904

Using traditional automation technology for fault early warning and location of low-voltage distribution network has some disadvantages, such as complex technology implementation, low early warning accuracy, long fault location time and so on. Therefore, firstly, this paper studied the implementation principle of fault early warning and location in low-voltage distribution network. Secondly, making full use of the edge computing to play the role of data analysis on the terminal side, a fault early warning and location device for low-voltage distribution network was designed. Besides, the overall process of realizing early warning and location was formulated. Finally, through the field application test, the accuracy of early warning and the rapidity of location of the device were verified. The results showed that the average early warning accuracy of the device was 92.11%, the fault location time was less than 10s, there was no false alarm and missing alarm, and has high practical application value.