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Single phase fault location in electrical distribution feeder using hybrid method

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  • Daisy, Mohammad
  • Dashti, Rahman

Abstract

Restoration of electrical energy after each distribution feeder's outage can improve the reliability indices and its efficiency. Accurate fault locating can cause the Power distribution (PD) systems to restore rapidly. PD networks include many branches, laterals, sub-laterals and load taps. Thus, accurate fault locating is very complicated and important. In the present paper, a new combined method is proposed for locating the single-phase fault to earth in PD networks. An impedance-based fault-location algorithm is also used to find the possible fault locations. Then, the new method is proposed for determining the faulty section using voltage sag matching algorithm. In this method, after single-phase fault to ground, the possible locations of fault are determined by using the impedance-based fault-location algorithm. The same fault is simulated in possible locations, separately. The voltage, then, at the beginning of feeder is saved and amplitude and angle of the voltage differences are determined and online databank is generated. This databank is compared with the obtained and recorded amplitude and angle of the voltage differences for actual fault. The real location of fault is specified by the matching value of each possible fault location.

Suggested Citation

  • Daisy, Mohammad & Dashti, Rahman, 2016. "Single phase fault location in electrical distribution feeder using hybrid method," Energy, Elsevier, vol. 103(C), pages 356-368.
    • Handle: RePEc:eee:energy:v:103:y:2016:i:c:p:356-368
    DOI: 10.1016/j.energy.2016.02.097
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    Citations

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    Cited by:

    1. Saeid Khavari & Rahman Dashti & Hamid Reza Shaker & Athila Santos, 2020. "High Impedance Fault Detection and Location in Combined Overhead Line and Underground Cable Distribution Networks Equipped with Data Loggers," Energies, MDPI, vol. 13(9), pages 1-15, May.
    2. Brkovic, Aleksandar & Gajic, Dragoljub & Gligorijevic, Jovan & Savic-Gajic, Ivana & Georgieva, Olga & Di Gennaro, Stefano, 2017. "Early fault detection and diagnosis in bearings for more efficient operation of rotating machinery," Energy, Elsevier, vol. 136(C), pages 63-71.
    3. Ehsan Gord & Rahman Dashti & Mojtaba Najafi & Hamid Reza Shaker, 2019. "Real Fault Section Estimation in Electrical Distribution Networks Based on the Fault Frequency Component Analysis," Energies, MDPI, vol. 12(6), pages 1-29, March.
    4. Dashti, Rahman & Ghasemi, Mohsen & Daisy, Mohammad, 2018. "Fault location in power distribution network with presence of distributed generation resources using impedance based method and applying π line model," Energy, Elsevier, vol. 159(C), pages 344-360.
    5. Jorge De La Cruz & Eduardo Gómez-Luna & Majid Ali & Juan C. Vasquez & Josep M. Guerrero, 2023. "Fault Location for Distribution Smart Grids: Literature Overview, Challenges, Solutions, and Future Trends," Energies, MDPI, vol. 16(5), pages 1-37, February.

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