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Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event

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  • Fauzan Hanif Jufri

    (Department of Energy Systems Research, Ajou University, Suwon 16499, Korea)

  • Jun-Sung Kim

    (Korea Electric Power Research Institute, Daejeon 34056, Korea)

  • Jaesung Jung

    (Department of Energy Systems Research, Ajou University, Suwon 16499, Korea)

Abstract

Concerns about the power outages caused by extreme weather events have led the study of grid resilience. Among the grid resilience studies, this paper presents an overview to evaluate and improve grid resilience through the analysis of determinants of the impact and the grid capability. The impact is determined by the extreme weather events, grid exposure, and grid vulnerability. Whereas, the determinants of the grid capability are physical durability, operational versatility, and rehabilitation capacity. Conceptual knowledge for quantifying the impact and the grid capability is also presented. Then, some improvement strategies to reduce the impact and to improve the grid capability based on their determinants are discussed. The study of the impact and the grid capability provides a preliminary guideline to plan appropriate grid resilience improvement strategies.

Suggested Citation

  • Fauzan Hanif Jufri & Jun-Sung Kim & Jaesung Jung, 2017. "Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event," Energies, MDPI, vol. 10(11), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1779-:d:117684
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    Cited by:

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    2. Oh, Seongmun & Jufri, Fauzan Hanif & Choi, Min-Hee & Jung, Jaesung, 2022. "A study of tropical cyclone impact on the power distribution grid in South Korea for estimating damage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    3. Adriana Mar & Pedro Pereira & João F. Martins, 2019. "A Survey on Power Grid Faults and Their Origins: A Contribution to Improving Power Grid Resilience," Energies, MDPI, vol. 12(24), pages 1-21, December.
    4. Jiazheng Lu & Jun Guo & Zhou Jian & Yihao Yang & Wenhu Tang, 2018. "Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems," Energies, MDPI, vol. 11(9), pages 1-15, August.
    5. Remy Tehero & Emmanuel Brou Aka & Murat Cokgezen, 2020. "Drivers of the Quality of Electricity Supply," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 183-195.
    6. Yürüşen, Nurseda Y. & Uzunoğlu, Bahri & Talayero, Ana P. & Estopiñán, Andrés Llombart, 2021. "Apriori and K-Means algorithms of machine learning for spatio-temporal solar generation balancing," Renewable Energy, Elsevier, vol. 175(C), pages 702-717.
    7. Neiler Medina & Yared Abayneh Abebe & Arlex Sanchez & Zoran Vojinovic, 2020. "Assessing Socioeconomic Vulnerability after a Hurricane: A Combined Use of an Index-Based approach and Principal Components Analysis," Sustainability, MDPI, vol. 12(4), pages 1-31, February.
    8. Jufri, Fauzan Hanif & Widiputra, Victor & Jung, Jaesung, 2019. "State-of-the-art review on power grid resilience to extreme weather events: Definitions, frameworks, quantitative assessment methodologies, and enhancement strategies," Applied Energy, Elsevier, vol. 239(C), pages 1049-1065.

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