Impedance Ground Faults Detection and Classification Method for DC Microgrid-Reference-Cited by-同舟云学术

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Impedance Ground Faults Detection and Classification Method for DC Microgrid

Published:2023-03-22 Issue:6 Volume:18 Page:4011-4023
ISSN:1975-0102
Container-title:Journal of Electrical Engineering & Technology
language:en
Short-container-title:J. Electr. Eng. Technol.

Author:

Wang Xiaodong,Wang Ruojin^ORCID,Liu Yingming,Gao Xing

Funder

Liaoning Province “Xingliao Yingcai Project”

Liaoning provincial central government guided local science and technology development fund plan project

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42835-023-01455-6.pdf

Reference34 articles.

1. Gao Y, Li JG, Hong MN et al (2021) Machine learning based optimization model for energy management of energy storage system for large industrial park[J]. Processes 9(5):825. https://doi.org/10.3390/pr9050825

2. Singh B, Sharma R, Kewat S et al (2021) Robust control strategies for SYRG-PV and wind-based islanded microgrid[J]. IEEE Trans Industr Electron 68(4):3137–3314. https://doi.org/10.1109/TIE.2020.2978723

3. Xiaomin QI, Pei W, Luyang LI et al (2019) DC fault detection scheme for multi-terminal hybrid AC/DC distribution network based on current-limiting inductor voltage [J]. Power Syst Technol. https://doi.org/10.13335/j.10003673.pst.2018.0848

4. Xing XA, Wen XB, Ch B et al (2021) New islanding detection method with adaptively threshold for microgrid [J]. Elect Power Syst Res. https://doi.org/10.1016/j.epsr.2021.107167

5. Wei Y, Wang Z, Liu KZ et al (2022) Fault detection method of flexible DC distribution network based on color relation analysis classifier[J]. Electr Eng 104(6):4543–4556. https://doi.org/10.1007/s00202-022-01638-w

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