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Traveling Wave Fault Location Using Layer Peeling

Author

Listed:
  • Stephen Robson

    (School of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

  • Abderrahmane Haddad

    (School of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

  • Huw Griffiths

    (Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi P.O. Box 127788, UAE)

Abstract

Many fault-location algorithms rely on a simulation model incorporating network parameters which closely represent the real network. Estimations of the line parameters are usually based on limited geometrical information which do not reflect the complexity of a real network. In practice, obtaining an accurate model of the network is difficult without comprehensive field measurements of each constituent part of the network in question. Layer-peeling algorithms offer a solution to this problem by providing a fast “mapping” of the network based only on the response of a probing impulse. Starting with the classical “Schur” layer-peeling algorithm, this paper develops a new approach to map the reflection coefficients of an electrical network, then use this information post-fault to determine accurately and robustly the location of either permanent or incipient faults on overhead networks. The robustness of the method is derived from the similarity between the post-fault energy reaching the observation point and the predicted energy, which is based on real network observations rather than a simulation model. The method is shown to perform well for different noise levels and fault inception angles on the IEEE 13-bus network, indicating that the method is well suited to radial distribution networks.

Suggested Citation

  • Stephen Robson & Abderrahmane Haddad & Huw Griffiths, 2018. "Traveling Wave Fault Location Using Layer Peeling," Energies, MDPI, vol. 12(1), pages 1-23, December.
    • Handle: RePEc:gam:jeners:v:12:y:2018:i:1:p:126-:d:194058
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    References listed on IDEAS

    as
    1. Enrique Personal & Antonio García & Antonio Parejo & Diego Francisco Larios & Félix Biscarri & Carlos León, 2016. "A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems," Energies, MDPI, vol. 9(12), pages 1-30, December.
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    Cited by:

    1. Stephen Robson & Gan Tan & Abderrahmane Haddad, 2019. "Low-Cost Monitoring of Synchrophasors Using Frequency Modulation," Energies, MDPI, vol. 12(4), pages 1-26, February.

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