Research Article

Transmission Line Fault Detection and Location Using Wavelet Transform

by  M.Arun Bhaskar, T.Pritha, P.Suganya, Divya Prabha, Narmada Subramaniam
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Issue 24
Published: February 2010
Authors: M.Arun Bhaskar, T.Pritha, P.Suganya, Divya Prabha, Narmada Subramaniam
10.5120/559-736
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M.Arun Bhaskar, T.Pritha, P.Suganya, Divya Prabha, Narmada Subramaniam . Transmission Line Fault Detection and Location Using Wavelet Transform. International Journal of Computer Applications. 1, 24 (February 2010), 36-41. DOI=10.5120/559-736

                        @article{ 10.5120/559-736,
                        author  = { M.Arun Bhaskar,T.Pritha,P.Suganya,Divya Prabha,Narmada Subramaniam },
                        title   = { Transmission Line Fault Detection and Location Using Wavelet Transform },
                        journal = { International Journal of Computer Applications },
                        year    = { 2010 },
                        volume  = { 1 },
                        number  = { 24 },
                        pages   = { 36-41 },
                        doi     = { 10.5120/559-736 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2010
                        %A M.Arun Bhaskar
                        %A T.Pritha
                        %A P.Suganya
                        %A Divya Prabha
                        %A Narmada Subramaniam
                        %T Transmission Line Fault Detection and Location Using Wavelet Transform%T 
                        %J International Journal of Computer Applications
                        %V 1
                        %N 24
                        %P 36-41
                        %R 10.5120/559-736
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

The project deals with the detection of transmission line fault and the place where the fault has occurred. With conventional methods we can not find the location, whereas wavelet makes the location detection very easy. Certain faults like open, short may be detected using simple electronic circuitry, but the location of fault can be analyzed only with wavelet transform.

References
  • Classification of power system faults using wavelet transforms and probabilistic neural networks k. harish kashyap1, u.jayachandra shenoy2
  • Fan Mo, ”Power system transients characterization and classification using wavelets and neural networks” IEEE 1998, GRADCO’ 1998.
  • M. Kezunovic & Z. Galijasevic,“New Software Framework for Automated Analysis of Power System Transients”, Proceedings of International Conference on Power System Transients, IPST 2001.
  • Robi Polikar, “The Story of Wavelets”, Iowa State University
  • N.K.Bose, P.Liang “Neural Network Fundamentals with Graphs, Algorithms, and Applications”, Tata-McGraw Hill, 1998 Ed.
  • . Wavlet transforms – Raghueer M.Rao , Ajit S. Bopardikar
  • Wavelet Transorm Based Relay algorithm for detection of stochastic high impedance faults. – T.M. Lai, L.A Snidar and E. Lo (IPST 2003 USA)D
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Transmission Line Fault Detection Protocol Wavelet Transform Open Circuiy Short Circuit Noise Load Mismatches

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