Research on the multi-parameter-based detection scheme for current transformers

Abstract

Oil-immersed current transformers are commonly used as a type of electrical equipment, but they may experience some faults and defects during actual operation. When detecting these faults and defects, the usual detection object is temperature, which is a single detection quantity and easily leads to misjudgment. This article introduces typical defects in oi-limmersed current transformers, conducts simulation analysis, studies the temperature field changes of current transformers when three typical defects occur, and studies the relationship between temperature and pressure to determine the feasibility of using temperature and pressure as the detection object, to improve the accuracy of detection. The results show that by using temperature and pressure as measurement values of a new detection method, the problem of single measurement parameters that cannot determine the internal condition of the equipment can be solved. By monitoring changes in temperature and pressure in real-time, misjudgment due to external factors can be avoided based on the relationship between temperature and pressure.