Smart transmission system: a new approach for the fault identification, localization and classification in the power system
This paper proposes an application of the Teager Energy Operator (TEO) next to the Discrete Wavelet Transform (DWT) and Hilbert-Huang Transform (HHT) for the power system fault identification, localization, and classification. Several fault types are simulated in the NE 39 bus test system using DigSILENT Power Factory software. Frequency and voltage signals are obtained and analyzed through the optimal placement of the Phasor Measurement Units (PMUs). The performance and the comparison of the applied techniques are assessed through a large number of the simulated faults for each fault type. The promising results obtained in the TEO analysis highlights the appropriate application of this technique in the power system fault detection. Value of the presented work reflects in the clear fault detection process. For the specified test system 141 fault simulations are made, frequency and voltage signals obtained from 13 measuring points in the system and analyzed with different signal processing techniques providing time, location and type of the fault.