Medium term scheduling of a hydro-thermal system using stochastic model predictive control |
| |
Authors: | Kristian Nolde [Author Vitae] Markus Uhr [Author Vitae] |
| |
Affiliation: | a Automatic Control Laboratory, ETH Zurich, Switzerland b Institute of Computational Science, ETH Zurich, Switzerland |
| |
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. |
| |
Keywords: | Stochastic programming Optimal control Nested benders decomposition |
本文献已被 ScienceDirect 等数据库收录! |