Operational flood control of a low-lying delta system using large time step Model Predictive Control |
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| Institution: | 1. Department of Water Management, Delft University of Technology, Stevinweg 1, Delft 2628CN, The Netherlands;2. Department of Maritime and Transport Technology, Delft University of Technology, Mekelweg 2, Delft 2628CD, The Netherlands;1. School of Environmental Studies, China University of Geosciences, Wuhan, Hubei 430074, PR China;2. Department of Geology and Geophysics, Texas A& M University, College Station, TX 77843-3115, USA;1. Department of Electrical and Electronic Engineering, University of Melbourne, Parkville (VIC), Australia;2. Department of Mathematics and Statistics, Curtin University, Perth (WA), Australia;1. Department of Signals and Systems, Chalmers University of Technology, Horsalsvagen 11, SE-41296 Goteborg, Sweden;2. Institute for Applied Computer Science, Karlsruhe Institute of Technology, Postfach 3640, 76021 Karlsruhe, Germany;1. Institute of Petroleum Engineering, Heriot-Watt University, Edinburgh, United Kingdom;2. Center for Subsurface Modeling (CSM), Institute for Computational Engineering and Sciences (ICES), University of Texas at Austin, TX, USA |
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| Abstract: | The safety of low-lying deltas is threatened not only by riverine flooding but by storm-induced coastal flooding as well. For the purpose of flood control, these deltas are mostly protected in a man-made environment, where dikes, dams and other adjustable infrastructures, such as gates, barriers and pumps are widely constructed. Instead of always reinforcing and heightening these structures, it is worth considering making the most of the existing infrastructure to reduce the damage and manage the delta in an operational and overall way. In this study, an advanced real-time control approach, Model Predictive Control, is proposed to operate these structures in the Dutch delta system (the Rhine–Meuse delta). The application covers non-linearity in the dynamic behavior of the water system and the structures. To deal with the non-linearity, a linearization scheme is applied which directly uses the gate height instead of the structure flow as the control variable. Given the fact that MPC needs to compute control actions in real-time, we address issues regarding computational time. A new large time step scheme is proposed in order to save computation time, in which different control variables can have different control time steps. Simulation experiments demonstrate that Model Predictive Control with the large time step setting is able to control a delta system better and much more efficiently than the conventional operational schemes. |
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| Keywords: | Model Predictive Control Large time step setting Flood defense Dutch water system Delta system |
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