Advertisement

Predictive Control for National Water Flow Optimization in The Netherlands

  • P. J. van Overloop
  • R. R. Negenborn
  • B. De Schutter
  • N. C. van de Giesen
Chapter
Part of the Intelligent Systems, Control and Automation: Science and Engineering book series (ISCA, volume 42)

Abstract

The river delta in The Netherlands consists of interconnected rivers and large water bodies. Structures, such as large sluices and pumps, are available to control the local water levels and flows. The national water board is responsible for the management of the system. Its main management objectives are: protection against overtopping of dikes due to high river flows and high sea tides, supply of water during dry periods, and navigation. The system is, due to its size, divided into several subsystems that are managed by separate regional divisions of the national water board. Due to changes in local land-use, local climate, and the need for energy savings, the currently existing control systems have to be upgraded from local manual control schemes to regional model predictive control (MPC) schemes. In principle, the national objectives for the total delta require a centralized control approach integrating all regional MPC schemes. However, such centralized control is on the one hand not feasible, due to computational limitations, and on the other hand unwanted, due to the existing regional structure of the organization of the national water board. In this chapter the application of MPC is discussed for both individual regional control and coordinated national control. Results of a local MPC scheme applied to the actual water system of the North Sea Canal/Amsterdam-Rhine Canal are presented and a framework for coordination between several distributed MPC schemes is proposed.

Keywords

Water Level Model Predictive Control Irrigation Canal Prediction Horizon Open Canal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    M. G. Bos. Discharge Measurement Structures. International Institute for Land Reclamation and Improvement, Wageningen, The Netherlands, 1989.Google Scholar
  2. 2.
    C. M. Burt and X. Piao. Advances in PLC-based canal automation. In Proceedings of the US-CID Conference on Benchmarking Irrigation System Performance Using Water Measurement and Water Balances, San Luis Obispo, California, July 2002. ITRC Paper No. P02-001.Google Scholar
  3. 3.
    V. T. Chow. Open-Channel Hydraulics. Mc-Graw-Hill Book, New York, New York, 1959.Google Scholar
  4. 4.
    A. J. Clemmens and J. Schuurmans. Simple optimal downstream feedback canal controllers: Theory. Journal of Irrigation and Drainage Engineering, 130(1):26–34, January/February 2004.CrossRefGoogle Scholar
  5. 5.
    Deltacommissie Veerman. Samen werken aan water, 2008. In Dutch.Google Scholar
  6. 6.
    Deltares. Flood Early Warning System. http://www.wlsoft.nl/soft/fews/int/index.html, 2009.
  7. 7.
    H. El Fawal, D. Georges, and G. Bornard. Optimal control of complex irrigation systems via decomposition-coordination and the use of augmented Lagrangian. In Proceedings of the 1998 International Conference on Systems, Man, and Cybernetics, pages 3874–3879, San Diego, California, 1998.Google Scholar
  8. 8.
    G. Georges. Decentralized adaptive control for a water distribution system. In Proceedings of the 3rd IEEE Conference on Control Applications, pages 1411–1416, Glasgow, UK, 1999.Google Scholar
  9. 9.
    Intergovernmental Panel on Climate Change. Climate Change 2001: Impact, Adaptation and Vulnerability. Cambridge University Press, New York, New York, 2003.Google Scholar
  10. 10.
    X. Litrico and V. Fromion. Tuning of robust distant downstream PI controllers for an irrigation canal pool. I: Theory. Journal of Irrigation and Drainage Engineering, 132(4):359–368, July/August 2006.CrossRefGoogle Scholar
  11. 11.
    X. Litrico, P.O. Malaterre, J.P. Baume, P.Y. Vion, and J. Ribot-Bruno. Automatic tuning of PI controllers for an irrigation canal pool. Journal of Irrigation and Drainage Engineering, 133(1):27–37, January/February 2007.CrossRefGoogle Scholar
  12. 12.
    P. O. Malaterre and J.-P. Baume. Modeling and regulation of irrigation canals: Existing applications and ongoing researches. In Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, pages 3850–3855, San Diego, California, October 1998.Google Scholar
  13. 13.
    I. Mareels, E. Weyer, S. K. Ooi, and D. Aughton. Modeling and control of irrigation networks: A system engineering approach. In Proceedings of the 2nd International USCID Conference, pages 399–411, Phoenix, Arizona, May 2003.Google Scholar
  14. 14.
    E. Mostert. River basin management in the European union; How it is done and how it should be done. European Water Management, 1(3):26–35, June 1998.Google Scholar
  15. 15.
    E. Mostert. Conflict and co-operation in international freshwater management: A global review. International Journal of River Basin Management, 1(3):1–12, 2003.CrossRefGoogle Scholar
  16. 16.
    R. R. Negenborn, P. J. van Overloop, and B. De Schutter. Coordinated model predictive reach control for irrigation canals. In Proceedings of the European Control Conference 2009, Budapest, Hungary, August 2009.Google Scholar
  17. 17.
    R. R. Negenborn, P. J. van Overloop, T. Keviczky, and B. De Schutter. Distributed model predictive control for irrigation canals. Networks and Heterogeneous Media, 4(2):359–380, June 2009.CrossRefGoogle Scholar
  18. 18.
    S. Sawadogo, R. M. Faye, P. O. Malaterre, and F. Mora-Camino. Decentralized predictive controller for delivery canals. In Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, pages 3380–3884, San Diego, California, 1998.Google Scholar
  19. 19.
    J. Schuurmans. Control of Water Levels in Open Channels. PhD thesis, Delft University of Technology, Delft, The Netherlands, October 1997.Google Scholar
  20. 20.
    W. ten Brinke. De Beteugelde Rivier. Bovenrijn, Waal, Pannerdensch Kanaal, Nederrijn-Lek en IJssel in Vorm. Uitgeverij Veen Magazines B.V., Diemen, The Netherlands, 2005. In Dutch.Google Scholar
  21. 21.
    G. P. van de Ven. Man-made Lowlands. History of Water Management and Land Reclamation in The Netherlands. Matrijs, Utrecht, The Netherlands, 2004.Google Scholar
  22. 22.
    P. J. van Overloop. Model Predictive Control on Open Water Systems. PhD thesis, Delft University of Technology, Delft, The Netherlands, June 2006.Google Scholar
  23. 23.
    P. J. van Overloop, I. J. Miltenburg, A. J. Clemmens, and R. J. Strand. Identification of pool characteristics of irrigation canals. In Proceedings of the World Environmental and Water Resources Congress, Honolulu, Hawaii, May 2008.Google Scholar
  24. 24.
    P. J. van Overloop, J. Schuurmans, R. Brouwer, and C. M. Burt. Multiple model optimization of PI-controllers on canals. Journal of Irrigation and Drainage Engineering, 131(2):190–196, March/April 2005.CrossRefGoogle Scholar
  25. 25.
    B. T. Wahlin. Remote Downstream Feedback Control of Branching Networks. PhD thesis, Arizona State University, Tempe, Arizona, December 2002.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • P. J. van Overloop
    • 1
  • R. R. Negenborn
    • 2
  • B. De Schutter
    • 3
  • N. C. van de Giesen
    • 1
  1. 1.Department of Water ManagementDelft University of TechnologyDelftThe Netherlands
  2. 2.Delft University of Technology, Delft Center for Systems and ControlDelftThe Netherlands
  3. 3.Delft Center for Systems and Control & Department of Marine and Transport TechnologyDelft University of TechnologyDelftThe Netherlands

Personalised recommendations