Abstract

Aiming at the problems of the complex line selection process and slow line selection speed of the existing intelligent classification line selection methods, a single-phase grounding fault line selection method based on the dynamic time warping (DTW) algorithm is proposed. The wavelet modulus maximum truncates the original signal to extract the temporary part. Then the DTW distance matrix between feeders is figured by the DTW algorithm. The fault line selection is realized by comparing the difference between the maximum, sub maximum, and minimum values with the threshold value. The simulation shows that the proposed approach can recognize proper line selection under various fault states and partial loss of recorded data, has high accuracy and has better robustness than the Euclidean distance and person correlation coefficient methods.

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