DocumentCode
2694262
Title
Modeling and optimized water management of inland waterway systems
Author
Wagenpfeil, Jay ; Arnold, Eckhard ; Sawodny, Oliver
Author_Institution
Inst. for Syst. Dynamics, Univ. of Stuttgart, Stuttgart, Germany
fYear
2010
fDate
8-10 Sept. 2010
Firstpage
1874
Lastpage
1880
Abstract
The main objective of operational water management of inland waterways is to ensure navigable water levels. In case of artificial canal systems, minimization of the electrical energy costs caused by pump operations is a further objective. A model of the canal system under consideration is developed based on a coarse grid discretization of the Saint Venant equations. With this model and the operational requirements an optimal control problem can be directly formulated and optimal pump and discharge strategies are calculated. Using a model predictive control approach and moving horizon state estimation, the control strategy is adapted to non-controllable inputs and model uncertainties. A particular challenge of the system under consideration is the identification of non-measurable inflows. The results are validated by closed-loop simulations with a high-resolution hydraulic model of an example canal system.
Keywords
canals; closed loop systems; hydraulic systems; optimal control; predictive control; shallow water equations; state estimation; Saint Venant equations; artificial canal systems; closed-loop simulations; coarse grid discretization; electrical energy cost minimization; high-resolution hydraulic model; inland waterway systems; inland waterways; model predictive control; moving horizon state estimation; operational water management; optimal control problem; optimized water management; pump operations; water management modeling; Biological system modeling; Computational modeling; Equations; Irrigation; Mathematical model; Optimal control; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications (CCA), 2010 IEEE International Conference on
Conference_Location
Yokohama
Print_ISBN
978-1-4244-5362-7
Electronic_ISBN
978-1-4244-5363-4
Type
conf
DOI
10.1109/CCA.2010.5611202
Filename
5611202
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