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Automatic Faulted Feeder Section Location and Isolation Method for Power Distribution Systems Considering the Change of Topology

Author

Listed:
  • Kongming Sun

    (Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Ministry of Education, Jinan 250061, China)

  • Qing Chen

    (Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Ministry of Education, Jinan 250061, China)

  • Pu Zhao

    (Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Ministry of Education, Jinan 250061, China)

Abstract

The increasing use of modern measuring devices, such as Feeder Terminal Units (FTUs), on power networks can provide multiple types of information for fault location on distribution systems. Using these devices, in this paper, a novel automatic matrix-based algorithm for the identification and isolation of faulted feeder sections on distribution systems is proposed. The algorithm works in two stages: the first stage automatically identifies the radial feeders that make up the whole system and represents the feeders’ topology in matrix form; and the second stage automatically identifies the faulted section of the identified feeder and opens the relevant switches to isolate it. The algorithm can be applied to single and multiple faults, as it operates using measuring device information and detecting the status of switch devices. It does not require any electrical parameters and it is not affected by the fault type or fault resistance. The algorithm was thoroughly tested using a large distribution system and was found to efficiently identify and isolate the faulted feeder section in each case.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1081-:d:105792
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    References listed on IDEAS

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    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.
    2. Ying-Yi Hong & Yan-Hung Wei & Yung-Ruei Chang & Yih-Der Lee & Pang-Wei Liu, 2014. "Fault Detection and Location by Static Switches in Microgrids Using Wavelet Transform and Adaptive Network-Based Fuzzy Inference System," Energies, MDPI, vol. 7(4), pages 1-18, April.
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    Cited by:

    1. 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.
    2. Yi Ning & Dazhi Wang & Yunlu Li & Haixin Zhang, 2018. "Location of Faulty Section and Faults in Hybrid Multi-Terminal Lines Based on Traveling Wave Methods," Energies, MDPI, vol. 11(5), pages 1-18, May.

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