Traveling wave method has been proved to be effective in fault line selection of distribution network. However, it is easy to be disturbed by non-faulty traveling wave and noise interference when selecting the line. For this reason, This paper proposes a new method a traveling wave line selection method based on sparse representation, in which current traveling wave signals are measured for the selection task. The algorithm of selection is based on the idea that all non-zero terms in the sparse coefficients of the measured signal are found to be associated with training samples from a single class, and the test samples can be easily assigned to the class. This makes it possible to distinguish between the non-faulty traveling wave and the real fault traveling wave. It is illustrated that the proposed selection method can be properly modified to deal with noise-containing signals.

compressed sensing,distribution line,line selection,sparse representation,traveling wave