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A New Linear State Estimator for Fault Location in Distribution Systems Based on Backward-Forward Currents Sweep

Author

Listed:
  • Ednardo Rocha

    (Department of Engineering and Technology (DET), Federal Rural University of Semi-Arid Region, Mossoró/RN 59625-900, Brazil)

  • Max Pimentel Filho

    (Department of Electrical Engineering (DEE), Federal University of Rio Grande do Norte, Natal/RN 59078-970, Brazil)

  • Melinda Cruz

    (Department of Engineering and Technology (DET), Federal Rural University of Semi-Arid Region, Mossoró/RN 59625-900, Brazil)

  • Marcos Almeida

    (Department of Electrical Engineering (DEE), Federal University of Rio Grande do Norte, Natal/RN 59078-970, Brazil)

  • Manoel Medeiros Júnior

    (Department of Electrical Engineering (DEE), Federal University of Rio Grande do Norte, Natal/RN 59078-970, Brazil
    Department of Computer and Automation Engineering (DCA), Federal University of Rio Grande do Norte, Natal/RN 59078-970, Brazil)

Abstract

This paper presents a new linear state estimation model based on a current summation load flow method for three-phase distribution systems. The developed estimator may be applied to both the supervision of distribution systems under normal operating conditions and the fault location in cases of low and high impedance faults. Our studies were conducted using a real distribution feeder. For fault location analysis, the system was modeled using the ATP (alternative transient program) in order to emulate measurements of voltages and currents at the substation, and voltage magnitudes registered by other meters during the fault. We used the MATLAB ™ software to process the algorithms. The main contributions that arose after integrating the current method into system supervision in case of network failures under normal operating conditions and the fault location are as follows: (i) estimation of system losses; (ii) modeling of loads in real time to consider their contributions in the fault location process; and (iii) low influence of fault resistance in the location algorithm. The results show that the proposed method has good precision, low computational processing time, and is promising for distribution system supervision with a reduced number of meters.

Suggested Citation

  • Ednardo Rocha & Max Pimentel Filho & Melinda Cruz & Marcos Almeida & Manoel Medeiros Júnior, 2020. "A New Linear State Estimator for Fault Location in Distribution Systems Based on Backward-Forward Currents Sweep," Energies, MDPI, vol. 13(11), pages 1-23, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2692-:d:363458
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    References listed on IDEAS

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    1. 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.
    2. Francinei L. Vieira & Pedro H. M. Santos & José M. Carvalho Filho & Roberto C. Leborgne & Marino P. Leite, 2019. "A Voltage-Based Approach for Series High Impedance Fault Detection and Location in Distribution Systems Using Smart Meters," Energies, MDPI, vol. 12(15), pages 1-16, August.
    3. 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.
    4. Kongming Sun & Qing Chen & Pu Zhao, 2017. "Automatic Faulted Feeder Section Location and Isolation Method for Power Distribution Systems Considering the Change of Topology," Energies, MDPI, vol. 10(8), pages 1-22, July.
    5. Duy Phuc Le & Duong Minh Bui & Cao Cuong Ngo & Anh My Thi Le, 2018. "FLISR Approach for Smart Distribution Networks Using E-Terra Software—A Case Study," Energies, MDPI, vol. 11(12), pages 1-33, November.
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