Flood Regulation by Means of Model Predictive Control
In this chapter flooding regulation of the river Demer is discussed. The Demer is a river located in Belgium. In the past the river was the victim of several serious flooding events. Therefore, the local water administration provided the river with flood reservoirs and hydraulical structures in order to be able to better manage the water flows in the Demer basin. Though this measures have significantly reduced the floods in the basin, the recent floods in 1998 and 2002 showed that this was not enough. In order to improve this situation a pilot project is started with as main goal to regulate the Demer with a model predictive controller. In this chapter the results of this project are discussed. First a simplified model of the Demer basin is derived based on the reservoir model. The model is calibrated and validated using historical data obtained from the local water administration. On the one hand the resulting model is accurate enough to capture the most important dynamics of the river; on the other hand the model is fast enough to be used in a real-time setting. Afterwards, the focus will be shifted to the model predictive controller. The use of the model predictive controller will be justified by comparing it to other control strategies used in practice for flood regulation. Then, the more technical details of the model predictive controller will be discussed in more detail. Finally the chapter will be concluded by historical simulations in which the model predictive controller is compared with the current control strategy used by the local water administration.
KeywordsWater Level Model Predictive Control Soft Constraint Prediction Horizon Feedforward Controller
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- 1.T. Barjas Blanco, P. Willems, B. De Moor, and J. Berlamont. Flooding prevention of the Demer using model predictive control. In Proceedings of the 17th IFAC World Congress, pages 3629–3634, July 2008.Google Scholar
- 3.E. F. Camacho and C. Bordons. Model Predictive Control. Springer, London, UK, 1999.Google Scholar
- 4.V. T. Chow, D. R., Maidment, and L. W. Mays. Applied Hydrology. McGraw-Hill International Editions, New York, New York, 1988.Google Scholar
- 5.M. Marinaki and M. Papageorgiou. Optimal Real-Time Control of Sewer Networks. Springer-Verlag, London, UK, 2005.Google Scholar
- 6.R. R. Negenborn. Multi-Agent Model Predictive Control with Applications to Power Networks. PhD thesis, Delft University of Technology, Delft, The Netherlands, 2007.Google Scholar
- 7.OBM-Demer. Operational river basin model Demer – Technical documentation v.2.0. Technical report, Flemish Environment Agency, Aalst, Belgium, 2003. In Dutch.Google Scholar
- 13.J. A. Rossiter. Model-Based Predictive Control: A Practical Approach. CRC Press, 2000.Google Scholar
- 14.G. Vaes, P. Willems, and J. Berlamont. The use of reservoir models for the assessment of the input from combined sewer overflows into river models. In Proceedings of the 9th International Conference on Urban Drainage, September 2002. 16pp.Google Scholar
- 15.P. J. van Overloop. Model Predictive Control of Open Water Systems. PhD thesis, Delft University of Technology, Delft, The Netherlands, 2006.Google Scholar
- 16.P. J. van Overloop, A. Mursi-Batt, K. J. van Heeringen, and R. A. H. A. Thabet. Real-time-control of water quantity and quality in a re-use of drainage water project. In Proceedings of the 1st Asian Regional ICID Conference, September 2001.Google Scholar
- 18.Wallingford Software & Halcrow (UK). FloodWorks, vesion 9.5, 2008.Google Scholar
- 19.Wallingford Software & Halcrow (UK). Info Works-RS, version 8.5, 2008.Google Scholar