Approximate Chance-Constrained Unit Commitment Under Wind Energy Penetration

dc.contributor.author Zephyr, Luckny
dc.contributor.author Guo, Ge
dc.contributor.author Wang, Zongjie
dc.contributor.author Morillo, Jose
dc.date.accessioned 2021-12-24T17:49:15Z
dc.date.available 2021-12-24T17:49:15Z
dc.date.issued 2022-01-04
dc.description.abstract We study a multi-period unit commitment problem under wind energy penetration, in which the load balance is enforced with a predefined confidence level across the whole system and over the planning horizon. Since, except for special cases, chance-constrained problems are non-convex, we analyze two relaxations of the load balance based upon robust optimization ideas and estimated quantiles of the marginal distributions of the net load processes. The approximation proposals are benchmarked against the well-known scenario approximation. Under the scenario approach, we also analyze a simple decomposition strategy to find a lower bound of the approximate problem, when the latter becomes intractable due the size of the set of scenarios. The reliability of the obtained solutions as well as their runtimes are examined on three widespread test systems.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.417
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/79752
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Distributed, Renewable, and Mobile Resources
dc.subject unit commitment
dc.subject chance-constrained programming
dc.subject robust optimization
dc.subject quantile
dc.title Approximate Chance-Constrained Unit Commitment Under Wind Energy Penetration
dc.type.dcmi text
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