The application relates to the technical field of power
system transformer area management, and specifically discloses a
transformer area identification and user binding method based on a special
transformer acquisition terminal, which comprises the following steps: separating the
harmonic interference generated by the start and stop of electric welders through a kurtosis index and time-frequency energy entropy fusion detection method, and extracting a fundamental wave
voltage and a pure power
signal; constructing a
dynamic time warping model containing phase consistency and gradient feature constraints based on the fundamental wave
voltage, calculating
voltage trajectory similarity to determine electrical
coupling; for users with electrical
coupling, fusing dynamic weight power cross-
correlation analysis to generate a comprehensive judgment value, combining historical topology change events, and using a space-time graph neural network to update the transformer area topology structure online, so that the dynamic determination of the transformer area to which the user belongs is realized; through multi-dimensional
feature fusion and anti-interference
algorithm design, the phase shift and
waveform distortion problems caused by the electric welder
harmonics are reduced, and the transformer area identification accuracy and real-time performance are improved.