The invention relates to the technical field of power
data analysis, in particular to a
line loss abnormity associated mutual
inductor insulation fault positioning method. Collecting multi-source operation data of a target
station area, and obtaining a datum
line loss rate sequence, a residual component sequence and an auxiliary
feature vector based on the multi-source operation data; according to the
reference line loss rate sequence, obtaining a comprehensive sensitivity vector representing the influence degree of the mutual
inductor on the
line loss; obtaining a
preliminary diagnosis result according to the comprehensive sensitivity vector, the residual component sequence and the real-time load rate; performing spatial logic
verification according to the
preliminary diagnosis result and the electrical
topological graph of the
transformer area to obtain a fault positioning
list; generating a correction amount according to the fault positioning
list and the corresponding comprehensive sensitivity vector, and correcting the line
loss rate according to the correction amount; and meanwhile, feedback optimization is performed on the
machine learning model according to
complete data of the diagnosis. According to the invention, accurate and efficient diagnosis and correction of the line loss abnormity of the target
station area can be realized.