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  Increasing the resilience of the Texas power grid against extreme storms by hardening critical lines

Stürmer, J., Plietzsch, A., Vogt, T., Hellmann, F., Kurths, J., Otto, C., Frieler, K., Anvari, M. (2024): Increasing the resilience of the Texas power grid against extreme storms by hardening critical lines. - Nature Energy, 9, 526-535.
https://doi.org/10.1038/s41560-023-01434-1

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Datensatz-Permalink: https://publications.pik-potsdam.de/pubman/item/item_29654 Versions-Permalink: https://publications.pik-potsdam.de/pubman/item/item_29654_2
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https://doi.org/10.5281/zenodo.10077864 (Ergänzendes Material)
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 Urheber:
Stürmer, Julian1, Autor              
Plietzsch, Anton1, Autor              
Vogt, Thomas1, Autor              
Hellmann, Frank1, Autor              
Kurths, Jürgen1, Autor              
Otto, Christian1, Autor              
Frieler, Katja1, Autor              
Anvari, Mehrnaz1, Autor              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: The Texas power grid on the Gulf Coast of the United States is frequently hit by tropical cyclones (TCs) causing widespread power outages, a risk that is expected to substantially increase under global warming. Here we introduce a new approach that combines a probabilistic line failure model with a network model of the Texas grid to simulate the spatio-temporal co-evolution of wind-induced failures of high-voltage transmission lines and the resulting cascading power outages from seven major historical TCs. The approach allows reproducing observed supply failures. In addition, compared to existing static approaches, it provides a notable advantage in identifying critical lines whose failure can trigger large supply shortages. We show that hardening only 1% of total lines can reduce the likelihood of the most destructive type of outage by a factor of between 5 and 20. The proposed modelling approach could represent a so far missing tool for identifying effective options to strengthen power grids against future TC strikes, even under limited knowledge.

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Sprache(n): eng - Englisch
 Datum: 2023-01-062023-12-082024-03-012024-05-01
 Publikationsstatus: Final veröffentlicht
 Seiten: 10
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1038/s41560-023-01434-1
Organisational keyword: RD3 - Transformation Pathways
PIKDOMAIN: RD3 - Transformation Pathways
Organisational keyword: RD4 - Complexity Science
PIKDOMAIN: RD4 - Complexity Science
Working Group: Impacts of Climate Change on Human Population Dynamics
Working Group: Dynamics, stability and resilience of complex hybrid infrastructure networks
MDB-ID: No MDB - stored outside PIK (see DOI)
Research topic keyword: Adaptation
Research topic keyword: Complex Networks
Research topic keyword: Extremes
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Energy
Research topic keyword: Security & Migration
Research topic keyword: Economics
Regional keyword: North America
Model / method: Qualitative Methods
Model / method: Quantitative Methods
OATYPE: Hybrid Open Access
 Art des Abschluß: -

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Projektname : QUIDIC
Grant ID : 01LP1907A
Förderprogramm : -
Förderorganisation : Bundesministerium für Bildung und Forschung (BMBF)

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Titel: Nature Energy
Genre der Quelle: Zeitschrift, SCI, Scopus
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 9 Artikelnummer: - Start- / Endseite: 526 - 535 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/nature-energy
Publisher: Nature