A new technique for power transformer protection using discrete dyadic wavelet transform

As one of the most important elements in modern power system, the transformer is responsible for the successful power transmission and distribution. Any unscheduled repair work, especially replacement of a faulty transformer, is very expensive and time consuming. Starting from here, this paper discusses an approach to introduce a wavelet-based view to identify inrush and other transformer faults. Furthermore, by careful cataloging and comparing, the authors found distinct characteristics corresponding to fault and inrush, on the basis of which they proposed a generalized new criterion for inrush identification, that can help to enhance protection reliability. The outcome of numerical simulation shows the effectiveness of the algorithm