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Neuro-Wavelet Approach for Transient Current based Transmission line Protection Scheme

G.Ravi kumar*, S. Tejasree**, CH.Pavani***, P. Sajith****

* Professor and Head of the Department, Electrical & Electronics Engineering, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur.

** -**** Students, Andhra Loyola Institute of Engineering and Technology, Vijayawada.

Periodicity:March - May'2013
DOI : https://doi.org/10.26634/jcir.1.2.2289

Abstract

This paper presents a wavelet based protection scheme for a single line transmission system is connected to load. A wavelet based multi resolution analysis is used to find the detailed coefficients of the signals which are utilized to calculate fault index. These fault indexes are compared with the threshold value to detect and classify faults on transmission system and for the location of fault using artificial neural networks. The proposed algorithm is proved for the detection, classification and location of faults on Transmission lines which is almost independent of fault impedance, fault inception angle and fault distance of transmission line.

Keywords

Wavelet Transforms Neural Network,Transmission Line, Fault,Power System Protection.

How to Cite this Article?

Kumar, G. R., Tejasree, S., Pavani, CH., and Sajith, P. (2013). Neuro-Wavelet Approach For Transient Current Based Transmission Line Protection Scheme. i-manager’s Journal on Circuits and Systems, 1(2), 7-12. https://doi.org/10.26634/jcir.1.2.2289

References

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