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.
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 |