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Fault location in power distribution network with presence of distributed generation resources using impedance based method and applying π line model

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  • Dashti, Rahman
  • Ghasemi, Mohsen
  • Daisy, Mohammad

Abstract

The power distribution networks (PDN) are spread in different street and Alley. Furthermore, nowadays, the DG is used in PDN, especially photovoltaic (PV). Therefore, fault location in these PDNs is complex. In this paper, an improved impedance based method has been proposed for fault location in power distribution network with presence of photovoltaic distributed generation resources. According that the PV has an uncertain behavior in different conditions, the proposed method is designed to be robust against PV behavior and upstream feeder changes. In the suggested method, detail equations are derived to prove a new quadratic equation for locating fault in PDNs using recorded voltage and current at the beginning of feeder and DG terminals. According to this proved equation is depended on to just voltage and currents of source or substation terminals, consequently dynamic modeling of PV and substation is not important in the proposed method. Within this method, the π line model is used for improving the accuracy of the suggested method. To evaluate the accuracy of the proposed method, the modified 11 node test Feeder is simulated in the MATLAB software and sensitivity of the suggested method was investigated against the different fault distances fault types, fault resistances and fault inception angles. Furthermore, the proposed method is investigated and tested on the real test feeder in power system simulator of power system and protection Lab. in Persian Gulf University. The results indicate the high accuracy of the algorithm.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:159:y:2018:i:c:p:344-360
    DOI: 10.1016/j.energy.2018.06.111
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    References listed on IDEAS

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    1. Rusi Chen & Tao Lin & Ruyu Bi & Xialing Xu, 2017. "Novel Strategy for Accurate Locating of Voltage Sag Sources in Smart Distribution Networks with Inverter-Interfaced Distributed Generators," Energies, MDPI, vol. 10(11), pages 1-20, November.
    2. Madeti, Siva Ramakrishna & Singh, S.N., 2017. "Online fault detection and the economic analysis of grid-connected photovoltaic systems," Energy, Elsevier, vol. 134(C), pages 121-135.
    3. Daisy, Mohammad & Dashti, Rahman, 2016. "Single phase fault location in electrical distribution feeder using hybrid method," Energy, Elsevier, vol. 103(C), pages 356-368.
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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.
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    4. 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.
    5. Masoud Ahmadipour & Hashim Hizam & Mohammad Lutfi Othman & Mohd Amran Mohd Radzi & Nikta Chireh, 2019. "A Fast Fault Identification in a Grid-Connected Photovoltaic System Using Wavelet Multi-Resolution Singular Spectrum Entropy and Support Vector Machine," Energies, MDPI, vol. 12(13), pages 1-18, June.
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    8. Bin Yang & Zhanran Xia & Xinyun Gao & Jing Tu & Hao Zhou & Jun Wu & Mingzhen Li, 2022. "Research on the Application of Uncertainty Quantification (UQ) Method in High-Voltage (HV) Cable Fault Location," Energies, MDPI, vol. 15(22), pages 1-15, November.

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