Analysis of the distribution characteristics of transformer defects and the application of non-power-off detection technology

Transformer is the core equipment of the power system, analysis of the distribution of transformer defects and the application of non-power-off detection technology helps to improve the efficiency of transformer maintenance and improve the stability of power supply. To this end, we counted transformer operations in one Chinese province in 2019. An analysis of the distribution of transformer defects in terms of degree of defect, transformer components, voltage levels, and serving time gives the percentage and rate of defects for different defects, which provides a focus for operation and maintenance. Then we analyzed the status quo of non-power-off detection technology (online monitoring and live detection) installed in transformer, and gave the defect detection situation and defect detection efficiency, and found that the misreporting phenomenon of online monitoring is serious and their defect detection efficiency is low, while the live detection efficiency is ideal. On this basis, we propose non-power-off detection techniques that can be promoted and non-power-off detection techniques that require further research.