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The Innovation Energy > 2024 Vol. 1 > No. 4 > 100059
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NEWS & BUZZ   Open Access     Cite

Super typhoon Yagi’s impact on power systems and insights for enhancing system resilience

  • 1.

    North China Electric Power University, Baoding 071000, China

  • 2.

    State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China

  • 3.

    Beijing Institute of Technology Zhuhai, Guangdong 519088, China

  • 4.

    National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 102200, China

  • 5.

    China Southern Power Grid New Electric Power System (Beijing) Research Institute Co., Ltd, Beijing 100010, China

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  • Corresponding author: lijianw@bit.edu.cn 
  • Received Date:  November 13, 2024
    Accepted Date:  November 20, 2024
    Published Online:  November 23, 2024
The Innovation Energy  1(4),  https://doi.org/10.59717/j.xinn-energy.2024.100059  |  Cite this article
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    • REFERENCES
  • [1] Wang, G., Wu, L., Mei, W., et al. (2022). Ocean currents show global intensification of weak tropical cyclones. Nature 611: 496–500. DOI:10.1038/s41586-022-05326-4.

    View in Article Google Scholar

    [2] Stanković, A., Tomsovic, K., De Caro, F., et al. (2023). Methods for Analysis and Quantification of Power System Resilience. IEEE T. Power Sys. 38(5): 4774-4787 DOI: 10.1109/TPWRS.2022.3212688.

    View in Article Google Scholar

    [3] Bie, Z., Lin, Y., Li, G., et al. (2017). Battling the extreme: a study on the power system resilience. Proc. IEEE. 105(7): 1253−1266. DOI: 10.1109/JPROC.2017.2679040.

    View in Article CrossRef Google Scholar

    [4] Zhang, H., Zhang, S., Chen, F., et al. (2023). Enhancing Power Grid Resilience against Typhoon Disasters by Coordinated Scheduling of Source-Network-Load. IEEE T. Ind. Appl. 60(1): 1442-1453. DOI: 10.1109/TIA.2023.3318566.

    View in Article Google Scholar

    [5] Wang, C., Ju, P., Lei, S., et al. (2020). Markov decision process-based resilience enhancement for distribution systems: an approximate dynamic programming approach. IEEE T. Smart Grid, 11(3): 2498−2510. DOI: 10.1109/TSG.2019.2956740.

    View in Article CrossRef Google Scholar

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  • Cite this article:

    Li S., Li J., Zhang F., et al., (2024). Super typhoon Yagi’s impact on power systems and insights for enhancing system resilience. The Innovation Energy 1(4): 100059. https://doi.org/10.59717/j.xinn-energy.2024.100059
    Li S., Li J., Zhang F., et al., (2024). Super typhoon Yagi’s impact on power systems and insights for enhancing system resilience. The Innovation Energy 1(4): 100059. https://doi.org/10.59717/j.xinn-energy.2024.100059

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