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

[1]. Chul-Hwan Kim., Hyun Kim., Young-Hun Ko., Sung-Hyun Byun., Raj K. Aggarwal., AllanT. Johns, (2002). “A Novel Fault-Detection Technique of High-Impedance Arcing Faults in Transmission Lines Using the Wavelet Transform”, IEEE Trans. on Power Delivery, Vol.17 No.4, Octobe, pp. 921-929.
[2]. Joe-Air Jiang., Ping-Lin Fan., Ching-Shan Chen., Chi-Shan Yu., Jin-Yi Sheu, (2003). “A Fault Detection and Faulted Phase Selection Approach for Transmission Lines with Haar Wavelet Transform”, Transmission and Distribution Conference and Exposition 2003, IEEE PES, 7-12, September, Vol.1, pp.285-289.
[3]. Feng Liang., B. Jeyasura, (2004). “Transmission Line Distance Protection Using Wavelet Transform Algorithm”. IEEE Trans. on Power Delivery, Vol.19, No.2 April, pp. 545-553.
[4]. A.H. Osman., O.P. Malik, (2004). “Transmission Line Distance Protection Based on Wavelet Transform”, IEEE Trans. on Power Delivery, Vol.19, No.2, April, pp.515-523.
[5]. oe-Air Jiang., Ping-Lin Fan., Ching-Shan Chen., Chin_Wen Liu, (2003). “A New Protection Scheme for Fault Detection, Direction Discrimination, Classification, and Location in Transmission Lines”, IEEE trans. on Power Delivery, Vol.18. No.1, January, pp.34-42.
[6]. Fransisco Martin., Jose A. Aguado. (2003). “Wavelet-Based ANN Approach for Transmission Line Protection”, IEEE Trans. on Power Delivery, Vol.18, No.4. October. Pp.1572-1574.
[7]. M. M. Tawfik., M. M. Marcos, (2001). “ANN-Based Techniques for Estimating Fault Location on Transmission Lines Using Prony Method”, IEEE Trans. on Power Delivery, Vol.16,No.2, April, pp. 219-224.
[8]. M. T. Hagan., H. B. Demuth, Mark Beale (2008). Neural Network Design, Cengage Learning, New Delhi.
[9]. S. Kumar, (2008). Neural Networks – A Classroom Approach, Tata McGraw Hill, New Delhi.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.