New Pattern-Recognition Method for Fault Analysis in Transmission Line With UPFC

In this paper, a new set of time-frequency features for fault-type identification, fault-loop status supervision, and fault-zone detection modules in a compensated transmission line with a unified power-flow controller is proposed. Some features are extracted from a one-cycle data window of one side of the compensated line, including 3/16 cycle of postfault data by the fast discrete orthonormal S-Transform (FDOST). The computation burden of the FDOST as a time-frequency decomposition is the same as the fast Fourier transform. The support vector machine is employed for classification of the ranked features by the Gram-Schmidt method. The graphical representations of extracted features and the obtained numerical results under different conditions confirm the efficacy of the proposed scheme.