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

Abstract

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.