Research on online monitoring device of capacitive voltage transformer based on deep learning

The capacitor voltage transformer (CVT) is a measuring device that converts high voltage into a low voltage signal. It is better than the electromagnetic voltage transformer (PT) in terms of economy and protection against interference, so it is widely used in stations and substations of 35kV and above. Currently, CVT are still mainly inspected by the shutdown inspection method on a four-year cycle, which cannot meet the demand for intelligent monitoring of key equipment in smart substations. Considering the above problems, this paper investigates a device based on the deep learning prediction algorithm to realize intelligent in-line CVT prediction, which has good performance in terms of functionality and reliability.