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Fault Location Method for DC Distribution Systems Based on Parameter Identification

Author

Listed:
  • Yan Xu

    (State Key Laboratory of New Energy and Electric Power Systems, North China Electric Power University, Baoding 071003, Hebei, China)

  • Jingyan Liu

    (State Key Laboratory of New Energy and Electric Power Systems, North China Electric Power University, Baoding 071003, Hebei, China)

  • Weijia Jin

    (Hebei Province Baoding Power Supply Company, Baoding 071000, Hebei, China)

  • Yuan Fu

    (State Key Laboratory of New Energy and Electric Power Systems, North China Electric Power University, Baoding 071003, Hebei, China)

  • Hui Yang

    (State Key Laboratory of New Energy and Electric Power Systems, North China Electric Power University, Baoding 071003, Hebei, China)

Abstract

When a short circuit fault occurs on the DC side line, the fault current reaches the peak within a few milliseconds, and the voltage drops significantly. This phenomenon can cause overcurrent flowing through the DC line, semiconductor devices, and AC side, which is a major threat to the operation of the entire system. To solve this problem, this paper proposes a fault location scheme based on parameter identification. Firstly, the entire DC distribution system is regarded as a graph. The intersections of the distribution system lines are regarded as vertices. The current flow of each line is regarded as a directed edge. The network topology matrix is constructed and a fault type recognition algorithm is proposed based on graph theory. Secondly, the mathematical model of the pole-to-pole short-circuit fault and pole-to-ground short-circuit fault are analyzed with double-ended electrical quantities. Transform the fault location problem into a parameter identification problem, four parameters to be identified are extracted, and the fitness function is constructed separately for two kinds of fault cases. Thirdly, a genetic algorithm (GA) is adopted to identify the value of parameters. Considering the fault types, transition resistance and fault location, the Matlab/Simulink simulation platform is used to simulate 18 fault conditions. The simulation results show that the positioning error of the fault location method is less than 1%, which is not affected by the transition resistance and has strong robustness.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:1983-:d:160905
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    References listed on IDEAS

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    1. Seung-Woon Lee & Bo-Hyung Cho, 2016. "Master–Slave Based Hierarchical Control for a Small Power DC-Distributed Microgrid System with a Storage Device," Energies, MDPI, vol. 9(11), pages 1-14, October.
    2. Shuo Zhang & Guibin Zou & Qiang Huang & Houlei Gao, 2018. "A Traveling-Wave-Based Fault Location Scheme for MMC-Based Multi-Terminal DC Grids," Energies, MDPI, vol. 11(2), pages 1-15, February.
    3. 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.
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    Cited by:

    1. Lu Qu & Zhanqing Yu & Xiang Xiao & Wei Zhao & Yulong Huang & Rong Zeng, 2019. "Development and Application of a 10 kV Mechanical DC Circuit Breaker," Energies, MDPI, vol. 12(19), pages 1-15, September.
    2. 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.
    3. Raheel Muzzammel, 2019. "Traveling Waves-Based Method for Fault Estimation in HVDC Transmission System," Energies, MDPI, vol. 12(19), pages 1-31, September.
    4. Yan Xu & Ziqi Hu & Tianxiang Ma, 2022. "Monopolar Grounding Fault Location Method of DC Distribution Network Based on Improved ReliefF and Weighted Random Forest," Energies, MDPI, vol. 15(19), pages 1-23, October.

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