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Modeling of Extreme Weather Events—Towards Resilient Transmission Expansion Planning

  • In this paper, we endogenously compute worst-case weather events in a transmission system expansion planning problem using the robust optimization approach. Mathematically, we formulate a three-level mixed-integer optimization problem, which we convert to a bi-level problem via the strong duality concept. We solve the problem using a constraint-and-column generation algorithm. We use cardinality-constrained uncertainty sets to model the effects of extreme weather realizations on supply from renewable generators.

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Metadaten
Author: Maximilian Bernecker, Iegor Riepin, Felix MüsgensORCiD
DOI:https://doi.org/10.1109/EEM54602.2022.9921145
ISBN:978-1-6654-0896-7
ISBN:978-1-6654-0897-4
ISSN:2165-4093
ISSN:2165-4077
Title of the source (English):18th International Conference on the European Energy Market (EEM), 13-15 September 2022, Ljubljana, Slovenia
Publisher:IEEE
Place of publication:Piscataway, NJ
Document Type:Conference publication peer-reviewed
Language:English
Year of publication:2022
Tag:Adaptation models; Mathematical models; Planning; Power systems; Renewable energy sources; Uncertainty; Wind
First Page:1
Last Page:7
Way of publication:Open Access
Faculty/Chair:Fakultät 3 Maschinenbau, Elektro- und Energiesysteme / FG Energiewirtschaft
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