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

Urheber*innen
/persons/resource/julian.stuermer

Stürmer,  Julian
Potsdam Institute for Climate Impact Research;

/persons/resource/plietzsch

Plietzsch,  Anton
Potsdam Institute for Climate Impact Research;

/persons/resource/thomas.vogt

Vogt,  Thomas
Potsdam Institute for Climate Impact Research;

/persons/resource/frank.hellmann

Hellmann,  Frank
Potsdam Institute for Climate Impact Research;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

/persons/resource/christian.otto

Otto,  Christian
Potsdam Institute for Climate Impact Research;

/persons/resource/Katja.Frieler

Frieler,  Katja
Potsdam Institute for Climate Impact Research;

/persons/resource/Mehrnaz.Anvari

Anvari,  Mehrnaz
Potsdam Institute for Climate Impact Research;

Externe Ressourcen

https://doi.org/10.5281/zenodo.10077864
(Ergänzendes Material)

Volltexte (frei zugänglich)

29654oa.pdf
(Verlagsversion), 3MB

Ergänzendes Material (frei zugänglich)
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Zitation

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


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_29654
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.