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

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%.

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Publication Details

Journal
International Journal of Global Energy Issues
Published
2025-12-23
DOI
https://doi.org/10.1504/ijgei.2026.150714
Primary Topic
Electricity Theft Detection Techniques
Type
article
Field-Weighted Citation Impact
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article

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

X. Liu, Jin Zhang, Shanshan Gao, Ke Ning et al.
International Journal of Global Energy Issues
Electricity Theft Detection Techniques
article

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

X. Liu, Jin Zhang, Shanshan Gao, Ke Ning, Bin Hou, Jing Ma
article en

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%.

International Journal of Global Energy IssuesVol. 48(1/2)
Electric Power Research Institute (US), State Grid Corporation of China (China) (CN)
Openalex Percentile: Top 43%
Electricity Theft Detection Techniques
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