Detection and Location of Faults in Three Phase 11kv Underground Power Cables By Discrete Wavelet Transform (DWT)

Prabhavathi. D*, Surya Kalavathi M**, Prakasam K***
*-*** Research Scholar, Department of Electrical and Electronics Engineering, JNTUA, India.
** Professor, Department of Electrical and Electronics Engineering, JNTUCEH, JNTUH India.
Periodicity:November - January'2016


This paper presents detection and location of fault in underground cables by wavelet transform as it is one of the most efficient tools for analyzing non stationary signals and it has been widely used in electrical power systems. Estimation and determination of fault in an underground cable is very important in order to clear the fault quickly and to restore the supply with minimum interruption [3, 8].The high voltage power cable 500MVA, 11kV, 200 km is modeled in MAT LAB simulink platform. Mexican Hat and coif let wavelet transforms is used to extract the signals and the waveforms are shown. The simulation results shows that wavelet method is efficient and powerful to estimate the faults when they occurs in the underground cables.


Cable, Fault, Travelling, Mexican Hat, Coif Let

How to Cite this Article?

Prabhavathi, D., Kalavathi, M. S., and Prakasam, K. (2016). Detection and Location of Faults in Three Phase 11kv Underground Power Cables By Discrete Wavelet Transform (DWT). i-manager’s Journal on Power Systems Engineering, 3(4), 35-44.


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