Research on application of power Internet of Things technology in leakage fault diagnosis of rural power grid

The accuracy and efficiency of current leakage fault diagnosis methods in rural areas are low. In view of this defect, a rural power leakage diagnosis system based on narrowband Internet of Things is studied and designed. Aiming at the defect that the magnetic modulation sensor with single magnetic core structure is prone to zero drift and temperature drift, which increases the measurement error, a magnetic modulation sensor with double magnetic core structure is proposed. Aiming at the problem that the output voltage waveform of the sensor in the square wave excitation scheme is not ideal and the calculation is complex, a half-wave excitation scheme is proposed to make the output voltage waveform of the sensor more ideal and reduce the calculation complexity. The experimental results show that the diagnostic accuracy of the leakage diagnosis system of rural power grid designed according to the research has reached 95%. To sum up, the rural power grid leakage diagnosis system can effectively improve the diagnosis accuracy of power grid leakage, and provide guarantee for rural people's livelihood and economic development.& COPY; 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Automated summary

The current leakage fault diagnosis methods in rural areas have low accuracy and efficiency. To address this issue, a rural power leakage diagnosis system based on narrowband Internet of Things is studied and designed. By proposing a magnetic modulation sensor with a double magnetic core structure, the problem of zero drift and temperature drift in a single magnetic core structure is solved, thus reducing measurement errors. Additionally, a half-wave excitation scheme is proposed to improve the output voltage waveform of the sensor and reduce calculation complexity. The experimental results demonstrate that the designed rural power grid leakage diagnosis system achieves a diagnostic accuracy of 95%. In conclusion, the rural power grid leakage diagnosis system effectively enhances the accuracy of power grid leakage diagnosis and provides support for the livelihood and economic development of rural communities.