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Journal Article

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

Authors
/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;

External Ressource

https://doi.org/10.5281/zenodo.10077864
(Supplementary material)

Fulltext (public)

29654oa.pdf
(Publisher version), 3MB

Supplementary Material (public)
There is no public supplementary material available
Citation

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


Cite as: https://publications.pik-potsdam.de/pubman/item/item_29654
Abstract
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.