A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency

A power-flow emulator approach for resilience assessment of repairable power grids subject to... •Weather extreme conditions affect power grid failures/repairs and data is scarce.•A stochastic resilience framework is proposed for assess the weather-grid interaction.•A power-flow emulator is constructed to reduce the computational cost.•Imprecise probabilistic methodology is used to tackle lack of data issues.•Most relevant weather-grid factors are identified by the global sensitivity analysis. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Energy Elsevier

A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0306-2619
D.O.I.
10.1016/j.apenergy.2017.10.126
Publisher site
See Article on Publisher Site

Abstract

•Weather extreme conditions affect power grid failures/repairs and data is scarce.•A stochastic resilience framework is proposed for assess the weather-grid interaction.•A power-flow emulator is constructed to reduce the computational cost.•Imprecise probabilistic methodology is used to tackle lack of data issues.•Most relevant weather-grid factors are identified by the global sensitivity analysis.

Journal

Applied EnergyElsevier

Published: Jan 15, 2018

References

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