Intelligent Detection of Electricity Stealing by Replacing Instrument Transformer Based on Daily Load Date Mining

We consider the research on intelligent detection of electricity stealing by replacing instrument transformer based on the correlation of daily line loss fluctuation. The qualitative analysis shows that there is a close correlation between daily load of electricity stealing and line loss. Pearson correlation coefficient is introduced to distinguish the degree of correlation between them. And the method for detecting such electricity stealing mode is constructed in the practical application field. The accuracy and practicability of this method are further illustrated by detailed analysis of actual cases. This method solves the problem that it is difficult to detect the electricity stealing mode of high-voltage users by replacing instrument transformer furtively due to the lack of abnormal electric characteristic quantities such as voltage, current, and phase.