ENGLISH

A Scenario Tree-Based Decomposition for Solving Multistage Stochastic Programs: With Application in Energy Production

By Debora Mahlke (auth.)

Book information

Publisher
Vieweg+Teubner Verlag
Year
2011
ISBN
978-3-8348-1409-8, 978-3-8348-9829-6
DOI
10.1007/978-3-8348-9829-6
Language
english
Format
PDF
Filesize
1 MB (1324526 bytes)
Edition
1
Pages
182\193
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Applications of Mathematics

Description

Optimization problems involving uncertain data arise in many areas of industrial and economic applications. Stochastic programming provides a useful framework for modeling and solving optimization problems for which a probability distribution of the unknown parameters is available. Motivated by practical optimization problems occurring in energy systems with regenerative energy supply, Debora Mahlke formulates and analyzes multistage stochastic mixed-integer models. For their solution, the author proposes a novel decomposition approach which relies on the concept of splitting the underlying scenario tree into subtrees. Based on the formulated models from energy production, the algorithm is computationally investigated and the numerical results are discussed.

Similar books