Detection of fault and current approximation by wavelet transform

  • Authors

    • D Narasimha rao
    • Akhila Polocherla
    • Madhuri Arumalla
    2018-02-09
    https://doi.org/10.14419/ijet.v7i1.8.11542
  • Discrete Wavelet Change (DWT), Transients, MATLAB.

  • Abstract

    This paper acquaints a strategy with perceive the region of the normal fault on the power line for fast and strong activity of confirmation designs. The model is made in MATLAB to deliver the important segment of the transient parameters at a similar period. Each cycle of waveform, covers before blame and after blame information is inaccessible for examination. The DWT is used for data pre-preparing. MATLAB writing computer programs is used to replicate uncommon. Working and blame conditions on high voltage transmission line, to be particular LG blame, LL blame, LLG and LLLG cut off.

     

  • References

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      [3] Feng Liang and B.JeyaSurya,â€Transmission line protection using wavelet transform based algorithmâ€, IEEE Trans. Power Delivery, Vol.19,No.2,pp.545-553,April 2004.

      [4] Ching-shan Chen, Ying-Hong Lin, Chih-Wen Lin “A new PMU based fault detection/loction technique for transmission lines with consideration of arcing fault discrimination-Part I&&IIâ€, IEEE Transactions on power Delivery,Vol.19,No.4,pp.1587-1601,2004.

      [5] Robi Polikar,†The wavelet Tutorial part-2 for Fourier Transform & Short term Fourier Transform and part-3 for continuous Wavelet transformâ€, Ames,Iowa, 2nd Edition,1996

      [6] B. Das and J. V. Reddy, “Fuzzy-logic-based fault classification scheme for digital distance protection,†IEEE Transactions on Power Delivery, Vol. 20, pp. 609–616, April 2005.

      [7] P. K. Dash, S. R. Samantaray and G. Panda, “Fault classification and section identification of an advanced series-compensated transmission line using support vector machine,†IEEE Transactions on Power Delivery, Vol. 22, No. 1, pp. 67–73, January 2007.

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  • How to Cite

    Narasimha rao, D., Polocherla, A., & Arumalla, M. (2018). Detection of fault and current approximation by wavelet transform. International Journal of Engineering & Technology, 7(1.8), 168-171. https://doi.org/10.14419/ijet.v7i1.8.11542

    Received date: 2018-04-14

    Accepted date: 2018-04-14

    Published date: 2018-02-09