The application discloses a low-
voltage direct-current arc hidden danger identification method based on
information fusion, first, a
mathematical model of an arc is established, and a direct-current
microgrid arc fault test
simulation platform is built; an arc fault is simulated, fault
branch voltage and non-fault
branch voltage are collected,
time domain characteristics of the voltage are extracted, and FFT analysis is performed on the voltage, so that a fundamental component and a proportion of components in each characteristic
frequency band are obtained; characteristics such as voltage offset, voltage change rate,
harmonic distortion rate and oscillation frequency are analyzed, an arc fault voltage
characteristic matrix is obtained, and arc characteristics under different fault positions are researched; whether an arc fault occurs in the
system is judged according to the direct-
current voltage characteristics, and fault positioning is performed according to a fault voltage
harmonic distortion rate. The arc fault identification method analyzes arc fault types from fault
branch voltage and non-fault branch voltage characteristics, and precise positioning is realized.