The invention provides a
hybrid line fault diagnosis comprehensive error optimization method, which comprises the following steps of: constructing a multi-conductor
transmission line model based on line parameters, and establishing a
database of frequency-dependent distribution parameters; fault traveling wave full-waveform data are synchronously acquired by multiple terminals, and the complete transient process of
voltage and current traveling
waves is recorded; performing double-end electromagnetic
time inversion processing on the collected fault traveling wave full-waveform data to obtain a
time inversion wave; synchronously injecting time reversal
waves after time reversal in the virtual environment, and performing propagation
simulation of the whole electromagnetic transient process; monitoring space
energy density distribution, and identifying an energy focusing peak of a real fault point; and mapping the
virtual coordinates to an actual line position, and outputting an accurate positioning result and a fault distance. Complex wave head identification and iterative computation are converted into a visual energy
peak detection problem, the process is simplified, and the
automation degree of the positioning process and the uniqueness of the result are improved.