The present invention discloses a method for judging a short-circuit fault in a distribution network based on a phase
voltage amplitude variation at a load end, comprising the following steps: S1, installing a
voltage monitoring device at the load end, collecting phase
voltage data in real time, and generating a
voltage amplitude variation; S2, preprocessing the data, eliminating
noise interference, and generating preprocessed
voltage variation data; S3, using a high-order statistical spectrum subtraction method to analyze the preprocessed data, identifying abnormal components in the
signal, and preliminarily judging a short-circuit fault; S4, confirming and recording the abnormal position through a
quantum tunneling effect detection
algorithm; S5, using a generalized maximum
entropy principle to perform
time series analysis and confirm the fault; S6, accurately locating the fault point based on the zero
scattering theory; S7, classifying the fault type according to the
minimum entropy productivity principle; S8, dynamically adjusting the fault isolation scheme based on generalized predictive control. The present invention improves the accuracy and response speed of fault detection, and is suitable for fault diagnosis and
processing of complex power systems.