Detection and Classification of Fault in the Transmission line using Wavelet Transform

Manjula S. Sureban*, Sangeeta S. Mahashetty **
*-** Department of Electrical and Electronics Engineering, SDM College of Engineering and Technology, Dharwad, Karnataka, India.
Periodicity:January - June'2020
DOI : https://doi.org/10.26634/jcir.8.1.17439

Abstract

Power transmission lines are the vital links that connects the generating station and load centers to achieve the essential continuity of service of electric power to the consumers. Transmission line protection is usually a subject of major concern in the field of Electrical Engineering, as it is a vital power grid and is constantly exposed to the environmental conditions. Indeed, the faults due to overhead transmission lines are about 50% as compared to the different types of faults that occur in a power system. Since these faults can destabilize the facility system, they need to be isolated immediately. With an ever-increasing demand for better performance and minimal interruptions, accurate fault analysis is required so as to detect, classify and clear the transmission line fault and to revive a system to its normal operation. Wavelet Transform is one among the foremost important techniques employed in fault analysis over the last decade. The detection and classification of fault is done by computing the approximation and detail coefficients of phase currents using Discrete Wavelet Transform (DWT) in the MATLAB/Simulink.

Keywords

Fault Identification, Fault Classification, Wavelet Transform, MATLAB/Simulink.

How to Cite this Article?

Sureban, M. S., and Mahashetty, S. S.(2020). Detection and Classification of Fault in the Transmission Line using Wavelet Transform. i-manager's Journal on Circuits and Systems, 8(1), 14-21. https://doi.org/10.26634/jcir.8.1.17439

References

[1]. Biradar, P., & Sheelvant, V. R. (2015). High-impedance fault detection using wavelet transform. International Journal of Engineering research and General Science (IJERGS), 3(2), 166-173.
[2]. Devi, S., Swarnkar, N. K., Ola, S. R., & Mahela, O. P. (2016, June). Detection of transmission line faults using discrete wavelet transform. In 2016, Conference on Advances in Signal Processing (CASP) (pp. 133-138). IEEE. https://doi.org/10.1109/CASP.2016.7746152
[3]. Heydt, G. T., & Galli, A. W. (1997). Transient Power quality problem analyzed using wavelets. IEEE Transactions on Power Systems, 12(2), 908-915. https://doi.org/10.1109/61. 584412
[4]. Kirubadevi, S., & Sutha, S. (2017, March). Wavelet based transmission line fault identification and classification. In 2017, International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC) (pp. 737-741). IEEE. https:// doi.org/10.1109/ICCPEIC.2017.8290461
[5]. Mercy, E. L., & Jyosthna, G. (2014). Fault detection and classification in transmission line using DWT and ANFIS techniques. Advanced Research in Electrical and Electronic Engineering, 2(2), 123-129.
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