The invention relates to a
lightning stroke fault recognition method for an EHV (extra-
high voltage) DC
transmission line based
energy spectrum similarity, and belongs to the technical field of power
system relay protection. The method comprises the steps: extracting the ratio of a positive
time domain waveform to an area formed by the enclosing of the zero axis of the positive
time domain waveform and the ratio of a positive
time domain waveform of any fault type to the area formed by the enclosing of the zero axis of the positive time domain waveform during stable operation when the
voltage of the EHV DC
transmission line fluctuates, and recognizing the fault and
lightning stroke interference according to the ratios; switching to fault classification recognition if the interference is a fault, carrying out the
wavelet decomposition recognition of an additional component through
wavelet, and judging whether the fault is a grounding fault or a
lightning stroke fault; and switching to a
shielding failure and back flashover
fault recognition if the fault is the lightning stroke fault. The method achieves the
time frequency analysis of the
simulation data, achieves the extraction of data in a short time period, and integrates area ratios,
energy spectrum similarity and modular maximum value. The method achieves the extraction of a set of criteria for
thunder interference, grounding faults, back flashover faults and shielding failures, and can achieve the accurate, quick and effective recognition of various types of conditions.