Solving Stochastic Energy Production Problems by a Scenario Tree-Based Decomposition Approach
Debora Mahlke ()
Additional contact information
Debora Mahlke: Technische Universität Darmstadt
A chapter in Operations Research Proceedings 2010, 2011, pp 653-658 from Springer
Abstract:
Abstract This paper is concerned with the development of an optimization method for multistage stochastic mixed-integer programs arising in energy production. This novel method relies on the decomposition of the original problem formulation into several subproblems based on splitting the scenario tree into subtrees. On this basis, a branch-and-bound method is applied in order to recover feasibility and thus to solve the problem to global optimality. As an application, we present a power generation problem with fluctuating wind power supply in order to investigate the potential of energy storages to decouple fluctuating supply and demand.
Date: 2011
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-642-20009-0_103
Ordering information: This item can be ordered from
http://www.springer.com/9783642200090
DOI: 10.1007/978-3-642-20009-0_103
Access Statistics for this chapter
More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().