Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
698241 | Automatica | 2008 | 10 Pages |
Abstract
A multistage stochastic programming formulation is presented for monthly production planning of a hydro-thermal system. Stochasticity from variations in water reservoir inflows and fluctuations in demand of electric energy are considered explicitly. The problem can be solved efficiently via Nested Benders Decomposition. The solution is implemented in a model predictive control setup and performance of this control technique is demonstrated in simulations. Tuning parameters, such as prediction horizon and shape of the stochastic programming tree are identified and their effects are analyzed.
Related Topics
Physical Sciences and Engineering
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Control and Systems Engineering
Authors
Kristian Nolde, Markus Uhr, Manfred Morari,