IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i11p2901-d178214.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/11/2901/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/11/2901/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Yan Xu & Jingyan Liu & Weijia Jin & Yuan Fu & Hui Yang, 2018. "Fault Location Method for DC Distribution Systems Based on Parameter Identification," Energies, MDPI, vol. 11(8), pages 1-18, July.
    3. Sang-Yong Park & Hyo-Sang Choi, 2021. "Operation Characteristics of Mechanical DC Circuit Breaker Combined with LC Divergence Oscillation Circuit for High Reliability of LVDC System," Energies, MDPI, vol. 14(16), pages 1-17, August.
    4. 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.
    5. Ting Wang & Liliuyuan Liang & Xinrang Feng & Ferdinanda Ponci & Antonello Monti, 2021. "Online Parameter Estimation for Fault Identification in Multi-Terminal DC Distribution Grids," Energies, MDPI, vol. 14(18), pages 1-15, September.
    6. Weipeng Yang & Hang Zhang & Jungang Li & Aimin Zhang & Yunhong Zhou & Jianhua Wang, 2018. "PIDR Sliding Mode Current Control with Online Inductance Estimator for VSC-MVDC System Converter Stations under Unbalanced Grid Voltage Conditions," Energies, MDPI, vol. 11(10), pages 1-20, September.
    7. Stefano Farnesi & Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2019. "Solid-State Transformers in Locomotives Fed through AC Lines: A Review and Future Developments," Energies, MDPI, vol. 12(24), pages 1-29, December.
    8. Waqas Javed & Dong Chen & Mohamed Emad Farrag & Yan Xu, 2019. "System Configuration, Fault Detection, Location, Isolation and Restoration: A Review on LVDC Microgrid Protections," Energies, MDPI, vol. 12(6), pages 1-30, March.
    9. Zhen Tang & Guoxing Mu & Jie Pan & Zhiwei Xue & Hong Yang & Mingyang Mei & Zhihao Zhang & Peng Kou, 2023. "Dynamic Equivalent Model Considering Multiple Induction Motors for System Frequency Response," Energies, MDPI, vol. 16(7), pages 1-23, March.
    10. 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.
    11. Adriana Mar & Pedro Pereira & João F. Martins, 2019. "A Survey on Power Grid Faults and Their Origins: A Contribution to Improving Power Grid Resilience," Energies, MDPI, vol. 12(24), pages 1-21, December.
    12. Siyuan Liang & Yuejin Tang & Li Ren & Ying Xu & Jing Shi & Zheng Li & Xiangyu Tan, 2019. "Parameter Matching and Optimization of a Hybrid Type DC SFCL Considering the Transient Characteristics of VSC-Based DC Systems," Energies, MDPI, vol. 12(18), pages 1-32, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:2901-:d:178214. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.