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Monopolar Grounding Fault Location Method of DC Distribution Network Based on Improved ReliefF and Weighted Random Forest

Author

Listed:
  • Yan Xu

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University (Baoding), Baoding 071003, China)

  • Ziqi Hu

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University (Baoding), Baoding 071003, China)

  • Tianxiang Ma

    (State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China)

Abstract

Compared with the pole-to-pole short circuit, the fault characteristics are not obvious when a monopolar grounding fault occurs in a DC distribution network, and it is difficult to locate the fault accurately. To solve this problem, this paper proposes a fault location method based on improved ReliefF and Weighted random forest (WRF). The 24 time and frequency-domain fault features of the postfault aerial mode current are calculated, and the most useful features are selected to form the optimal feature subset for input to the fault location estimator. In this paper, the ReliefF algorithm is utilized for automatic feature selection and obtaining the weights of features. In addition, the WRF algorithm is used to build the fault location estimator. Considering the fault location, fault resistance, noise and time window length, the Matlab/Simulink simulation platform is used to simulate the fault situation and compare it with other algorithms. The simulation results show that the average positioning error of the fault location method is less than 0.1%, which is not affected by the fault resistance and has strong robustness.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7261-:d:932535
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    References listed on IDEAS

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    1. 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.
    2. Bing Han & Yonggang Li, 2020. "Simulation Test of a DC Fault Current Limiter for Fault Ride-Through Problem of Low-Voltage DC Distribution," Energies, MDPI, vol. 13(7), pages 1-17, April.
    3. Huan Cai & Xufeng Yuan & Wei Xiong & Huajun Zheng & Yutao Xu & Yongxiang Cai & Jiumu Zhong, 2022. "Flexible Interconnected Distribution Network with Embedded DC System and Its Dynamic Reconfiguration," Energies, MDPI, vol. 15(15), pages 1-20, August.
    4. 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.
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    Cited by:

    1. Oscar Danilo Montoya & Luis Fernando Grisales-Noreña & Diego Armando Giral-Ramírez, 2023. "Multi-Objective Dispatch of PV Plants in Monopolar DC Grids Using a Weighted-Based Iterative Convex Solution Methodology," Energies, MDPI, vol. 16(2), pages 1-20, January.

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