Fault Location and Fault Type Recognition of Power System Based on Wavelet Transform

With the enlargement of power system scale, large amounts of electrical equipment are penetrated in to the grids, which makes it more difficult to locate the fault points and judge the fault types. Traditionally, Fourier transform was normally used to study the singularity of fault signals. However, in these Fourier transform based methods, the distribution of fault signals could not be obtained, which reduced the accuracy of fault location and fault type judgment. Therefore, in this paper, the singularity detection theory of wavelet transform is adopted and used to decompose the node fault voltage when the fault occurs.