The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.
State-of-the-art review on power grid resilience to extreme weather events: Definitions, frameworks, quantitative assessment methodologies, and enhancement strategies
Abstract
Abstract The rise of power outages caused by extreme weather events and the frequency of extreme weather events has motivated the study of grid resilience. This paper presents a state-of-the-art review of existing research on the study of grid resilience, which focuses on the point of view of power system engineering with respect to extreme weather events. Firstly, it investigates confounding terminologies used in the study of grid resilience, such as the definitions, the differences with grid reliability, the extreme weather events, and their extreme impact on the power systems. Secondly, it presents a grid resilience framework as a general provision to understand the subjects in the study of grid resilience. Thirdly, it describes several methodologies of grid resilience assessment and some quantitative indices. Finally, various grid resilience enhancement strategies implementations are discussed.
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Cites
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A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities
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The concept of resilience revisited
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Resilience and disaster risk reduction: an etymological journey
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Cited by
Resilience of children in disasters: A multisystem perspective
Masten, A. S. (2021) · International Journal of Psychology · doi:10.1002/ijop.12737 · Cited by 268
Metadata
- Authors
- Jufri, F. H., Widiputra, V., & Jung, J.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 239
- Pages
- 1049-1065
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2913820977
- Cited by
- 473
- References
- 101
- FWCI
- 35.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jufri, F. H., Widiputra, V., & Jung, J. (2019). State-of-the-art review on power grid resilience to extreme weather events: Definitions, frameworks, quantitative assessment methodologies, and enhancement strategies. Applied Energy. https://doi.org/10.1016/j.apenergy.2019.02.017
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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