自适应时频与能量特征融合的故障定位方法OA

To achieve accurate fault location of distribution lines,a fault location method based on adaptive time-frequency and energy feature fusion was proposed,addressing the problem of inconsistent features in multi-branch distribution lines during cross-feeding and the low precision of traveling wavehead extraction in traditional Fourier methods.This method employed wavelet packet decomposition combined with energy ratio and information entropy features for cross-feed line normalization.It also utilized the energy change rate to trigger an adaptive windowed short-time Fourier transform(STFT),allowing for the acquisition of time-frequency spectrograms and the identification of wave crest moments.By weightedly integrating the time difference of arrival(TDOA)and the energy decay algorithm(EDA),the localization results were optimized.Research conducted via Matlab simulations demonstrates that the proposed localization method effectively achieves fault localization under various signal-to-noise ratios and grounding resistances,thereby enhancing supply reliability.