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Fault Location Based on Comprehensive Grey Correlation Degree Analysis for Flexible DC Distribution Network

Author

Listed:
  • Tianxiang Ma

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

  • Ziqi Hu

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

  • Yan Xu

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

  • Haoran Dong

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

Abstract

Flexible DC distribution networks have a strong capacity for new energy consumption and have received extensive attention from scholars in recent years, but fault location for DC distribution lines is a difficult task. To solve this problem, we propose using a comprehensive grey correlation degree analysis to analyze the similarity of aerial mode traveling differential current waveforms at the first and last ends of a DC line, thus achieving fault location by obtaining the optimal time shift. Additionally, we built a six-terminal flexible DC distribution network model in Matlab/Simulink for simulation and validation, showing that the method can complete the rapid and accurate location of all types of faults on a DC line, and that it possesses an anti-transition resistance capability, making it suitable and highly reliable for cases of low sampling frequency.

Suggested Citation

  • Tianxiang Ma & Ziqi Hu & Yan Xu & Haoran Dong, 2022. "Fault Location Based on Comprehensive Grey Correlation Degree Analysis for Flexible DC Distribution Network," Energies, MDPI, vol. 15(20), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7820-:d:950131
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    References listed on IDEAS

    as
    1. 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.
    2. Keteng Jiang & Haibo Li & Xi Ye & Yi Lei & Keng-Weng Lao & Shuqing Zhang & Xianfa Hu, 2022. "Energy Efficiency Evaluation and Revenue Distribution of DC Power Distribution Systems in Nearly Zero Energy Buildings," Energies, MDPI, vol. 15(15), pages 1-23, August.
    3. Minsheng Yang & Jianqi Li & Jianying Li & Xiaofang Yuan & Jiazhu Xu, 2021. "Reconfiguration Strategy for DC Distribution Network Fault Recovery Based on Hybrid Particle Swarm Optimization," Energies, MDPI, vol. 14(21), pages 1-15, November.
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    Citations

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    Cited by:

    1. Jorge De La Cruz & Eduardo Gómez-Luna & Majid Ali & Juan C. Vasquez & Josep M. Guerrero, 2023. "Fault Location for Distribution Smart Grids: Literature Overview, Challenges, Solutions, and Future Trends," Energies, MDPI, vol. 16(5), pages 1-37, February.

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