A method for sensing the operating status of switchable residual current transformers based on information entropy

In response to the problem of poor perception accuracy of the operating state of open close leakage current transformers, this paper proposes a method for sensing the operating state of open close leakage current transformers based on information entropy. This method utilizes information entropy theory to conduct in-depth analysis of a large amount of data during the operation of transformers, in order to quantify the uncertainty and information content in the data. By calculating the entropy of information, real-time monitoring and evaluation of the health status of transformers can be achieved, effectively identifying abnormal operating conditions and warning potential faults in advance. The experimental results show that this method has higher sensitivity and accuracy, and has better efficiency in sensing the operating status of open close leakage transformers, providing strong guarantees for the safe and stable operation of power systems.