With the increasing degree of mixing of AC/DC power grids,the complex grid structure makes it increasingly difficult to accurately locate the faults.Aiming at the problems of the current location methods,a fault location method for AC line of AC/DC hybrid power grid based on synchrosqueezing wavelet transform(SWT)combined with hybrid neural network is proposed.Firstly,the single-ended voltage data of AC line is processed by SWT,and then the energy of some low-frequency regions in the time-frequency matrix is extracted to construct feature vectors.Finally,the feature vectors are constructed as a data set,which is input to the hybrid neural network for training and testing to realize fault location.The experimental results show that the proposed method has high positioning accuracy and certain anti-noise performance,and is less affected by different fault types and transition resistances.
AC/DC hybrid power gridAC linesynchrosqueezing wavelet transformneural networkfault location
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