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A High-Speed Fault Detection, Identification, and Isolation Method for a Last Mile Radial LVDC Distribution Network

Author

Listed:
  • Saeed Zaman Jamali

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

  • Syed Basit Ali Bukhari

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

  • Muhammad Omer Khan

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

  • Khawaja Khalid Mehmood

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

  • Muhammad Mehdi

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

  • Chul-Ho Noh

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

  • Chul-Hwan Kim

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

Abstract

The day-by-day increase in digital loads draws attention towards the need for an efficient and compatible distribution network. An LVDC distribution network has the capability to fulfill such digital load demands. However, the major challenge of an LVDC distribution network is its vulnerability during a fault. The need for a high-speed fault detection method is inevitable before it can be widely adopted. This paper proposes a new fault detection method which extracts the features of the current during a fault. The proposed fault detection method uses the merits of overcurrent, the first and second derivative of current, and signal processing techniques. Three different features are extracted from a time domain current signal through a sliding window. The extracted features are based upon the root squared zero, second, and fourth order moments. The features are then set with individual thresholds to discriminate low-, high-, and very high-resistance faults. Furthermore, a fault is located through the superimposed power flow. Moreover, this study proposes a new method based on the vector sum of positive and negative pole currents to identify the faulty pole. The proposed scheme is verified by using a modified IEEE 13 node distribution network, which is implemented in Matlab/Simulink. The simulation results confirm the effectiveness of the proposed fault detection and identification method. The simulation results also confirm that a fault having a resistance of 1 m Ω is detected and interrupted within 250 μ s for the test system used in this study.

Suggested Citation

  • Saeed Zaman Jamali & Syed Basit Ali Bukhari & Muhammad Omer Khan & Khawaja Khalid Mehmood & Muhammad Mehdi & Chul-Ho Noh & Chul-Hwan Kim, 2018. "A High-Speed Fault Detection, Identification, and Isolation Method for a Last Mile Radial LVDC Distribution Network," Energies, MDPI, vol. 11(11), pages 1-19, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:2901-:d:178214
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    References listed on IDEAS

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    1. Yu Zeng & Guibin Zou & Xiuyan Wei & Chenjun Sun & Lingtong Jiang, 2018. "A Novel Protection and Location Scheme for Pole-to-Pole Fault in MMC-MVDC Distribution Grid," Energies, MDPI, vol. 11(8), pages 1-17, August.
    2. Shi-Min Xue & Chong Liu, 2018. "Line-to-Line Fault Analysis and Location in a VSC-Based Low-Voltage DC Distribution Network," Energies, MDPI, vol. 11(3), pages 1-16, March.
    3. Saeed Zaman Jamali & Syed Basit Ali Bukhari & Muhammad Omer Khan & Muhammad Mehdi & Chul-Ho Noh & Gi-Hyeon Gwon & Chul-Hwan Kim, 2018. "Protection Scheme of a Last Mile Active LVDC Distribution Network with Reclosing Option," Energies, MDPI, vol. 11(5), pages 1-20, April.
    4. Xiaomin Qi & Wei Pei & Luyang Li & Li Kong, 2018. "A Fast DC Fault Detection Method for Multi-Terminal AC/DC Hybrid Distribution Network Based on Voltage Change Rate of DC Current-Limiting Inductor," Energies, MDPI, vol. 11(7), pages 1-22, July.
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