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

摘要

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.