Research and Design of New Energy Dry-Type Transformer Prediction Device

The main problem in dry-type transformers for new energy applications is the frequent temperature changes, which can reach temperatures of up to 180°C in actual operation. Due to the different expansion coefficients between epoxy resin and copper rows in dry-type transformers, the sealing of epoxy resin will be destroyed, leading to serious consequences such as dry-type transformer fire and explosion. For this reason, this paper designs a new energy dry-type transformer prediction device for transformer temperature and partial discharge signal monitoring and fault alarm, and studies the application of high-frequency current transformer (HFCT) in partial discharge monitoring to achieve real-time monitoring of transformer operation status. Finite element simulation software was used to analyze a dry-type transformer's simulation model. The simulation data obtained were then verified through real experimental testing. In the real grid system, simulations were conducted to model turn-to-turn short-circuit faults. The aim was to validate the simulation results and determine the required monitoring devices. The effectiveness of different monitoring methods-HFCT (High-Frequency Current Transformer), ultrasonic, ultra-high-frequency (UHF), and ground wave detection-was compared. It was found that HFCT is more effective than the other three methods in monitoring dry-type transformers.