Title: Intelligent distribution equipment status monitoring and fault warning based on the power internet of things

Authors: Xingting Liu; Ke Ning; Bin Hou; Jin Zhang; Shanshan Gao; Jing Ma

Addresses: State Grid Shanxi Electric Power Company Material Branch, Taiyuan, Shanxi, China ' State Grid Shanxi Electric Power Company Material Branch, Taiyuan, Shanxi, China ' State Grid Shanxi Electric Power Company Material Branch, Taiyuan, Shanxi, China ' State Grid Shanxi Electric Power Company Material Branch, Taiyuan, Shanxi, China ' State Grid Shanxi Electric Power Company Material Branch, Taiyuan, Shanxi, China ' State Grid Shanxi Electric Power Company Electric Power Science Research Institute, Taiyuan, Shanxi, China

Abstract: This paper used the power Internet of Things (IoT) technology to monitor the status of the intelligent DR and give early warning of faults. First, the existing problems of the current DR were introduced. This paper then analysed the status monitoring requirements and system configuration of the DR and then discussed the monitoring technology of the intelligent DR to deal with the corresponding data faults. At the end of this paper, the effect of condition monitoring and fault early warning of intelligent DR was analysed, and finally, the conclusion was drawn. After adopting the IoT, the monitoring accuracy of each intelligent DR has improved compared with the previous one. The timeliness of fault early warning in DR has been greatly improved after the adoption of power distribution network technology, and the timeliness of fault early warning in DR 5 can reach 92%.

Keywords: intelligent distribution room; condition monitoring; fault warning; power IoT; monitoring accuracy.

DOI: 10.1504/IJGEI.2026.150714

International Journal of Global Energy Issues, 2026 Vol.48 No.1/2, pp.3 - 23

Received: 13 May 2024
Accepted: 09 Jan 2025
Published online: 22 Dec 2025 *

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