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Wavelet singular entropy approach for fault detection and classification of transmission line compensated with UPFC

In this paper, a technique based on a wavelet singular entropy (WSE) approach is presented for detection and classification of faults in transmission line equipped with Unified Power Flow Controller (UPFC). The scheme of fault discrimination proposed in this paper depends on the measurement of three-phase current at sending end side of the protected power transmission line. Discrete wavelet transforms (DWT) is utilized for decomposing the fault current signal into different approximation and details coefficient. Summation of fourth level detail coefficient for all the three phases of current are used for fault detection process and further wavelet singular entropy calculations for each phase currents are used for classification of fault type of the power transmission line. A 500 kV three-machine four-bus transmission system equipped with UPFC has been considered to validate the performance of the proposed scheme using MATLAB software in the time domain. The proposed algorithm is validated with simulation studies by different fault scenario with the variation of fault type, fault resistance, and fault inception angle. The simulation results proven successful identification of fault and fault type.