WT-ANN based fault discrimination for transmission system

  • Authors

    • P Venkata Lakshmi
    • P N. S. Poojitha
    • Y Srinivasrao
    2018-02-09
    https://doi.org/10.14419/ijet.v7i1.8.11536
  • Wavelet, Neural Network, Fault, Transmission Line

  • Abstract

    Protection of transmission line is a complex in power system as the majority of the faults in power system are transmission faults. A proper protection is needed for transmission line for continuous power supply. To provide a strong as well as an efficient protection scheme, in this paper we are using wavelet technique and artificial neural network. By using these mentioned two techniques we can detect the faults in transmission line and also, we can classify the detected faults. Wavelet transform has strong mathematical, very fast and accurate tools for brief signal inside the transmission lines and synthetic neural network can make a unique between measured sign and associated signal that has different pattern.

     

  • References

    1. [1] Tang Y, Wang HF, Aggarwal RK et al., ―Fault indicators in transmission and distribution systems‖, Proceedings of International conference on Electric Utility Deregulation and Restructuring and Power Technologies – DRPT, 2000, pp. 238-243.

      [2] Youssef OA. Fault classification based on wavelet transforms. In Transmission and Distribution Conference and Exposition, 2001 IEEE/PES 2001; 1: pp. 531-536

      [3] Manohar singh, Dr. B.K Panigrahi and Dr. R. P. Maheshwari, "Transmission Line Fault Detection and Classification", PROCEEDINGS OF ICETECT 2011

      [4] Shuma Adhikari, Nidul Sinha and Thingam Dorendrajit, “Fuzzy logic based on‑line fault detection and classification in transmission lineâ€, SpringerPlus (2016) 5:1002 DOI 10.1186/s40064-016-2669-4

      [5] R. K. Aggarwal, Q. Y. Xuan, A. T. Johns, R. W. Dunn and A.Bennett, “A novel fault classification technique for doublecircuit lines based on a combined unsupervised/supervised neural network,†IEEE Transactions on Power Delivery, Vol. 14, No. 4, pp. 1250–1256, October 1999

      [6] Pragati Chawardol and Heena Shaikh, “Wavelet Entropy Based Transmission Line Protectionâ€, Volume: 04 Issue: 04 | Apr -2017

      [7] Prasad A, Edward JB, Roy CS, Divyansh G, Kumar A. Classification of Faults in Power Transmission Lines using Fuzzy-Logic Technique. Indian Journal of Science and Technology. 2015; 8(30):1-6.

      [8] K. M. Silva, B. A. Souza and N. S. D. Brito, "Fault Detection and Classification in Transmission Lines Based on Wavelet Transform and ANN", IEEE Transactions on Power Delivery, Vol. 21, No 4, OCTOBER 2006

      [9] T. Dausten and B. Kulieke, “Neural network approach to fault classification for high speed protective relaying,†IEEE Trans. Power Del., vol. 10, no. 2, pp. 1002–1009, Apr. 1995.

      [10] W. A. Wilkinson and M. D. Cox, “Discrete wavelet analysis of power system transients,†IEEE Trans. Power Syst., vol. 11, no. 4, pp. 2038–2044, Nov. 1996

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  • How to Cite

    Venkata Lakshmi, P., N. S. Poojitha, P., & Srinivasrao, Y. (2018). WT-ANN based fault discrimination for transmission system. International Journal of Engineering & Technology, 7(1.8), 144-147. https://doi.org/10.14419/ijet.v7i1.8.11536

    Received date: 2018-04-14

    Accepted date: 2018-04-14

    Published date: 2018-02-09