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Operational flood control of a low-lying delta system using large time step Model Predictive Control.

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Title: Operational flood control of a low-lying delta system using large time step Model Predictive Control.
Authors: Tian, Xin1, van Overloop, Peter-Jules1, Negenborn, Rudy R.2, van de Giesen, Nick1
Source: Advances in Water Resources. Jan2015, Vol. 75, p1-13. 13p.
Subjects: Flood control, Prediction theory, Storms, Flood damage, Computational complexity
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. [ABSTRACT FROM AUTHOR]
Copyright of Advances in Water Resources is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 100081421
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Operational flood control of a low-lying delta system using large time step Model Predictive Control.
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  Data: <searchLink fieldCode="AR" term="%22Tian%2C+Xin%22">Tian, Xin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22van+Overloop%2C+Peter-Jules%22">van Overloop, Peter-Jules</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Negenborn%2C+Rudy+R%2E%22">Negenborn, Rudy R.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22van+de+Giesen%2C+Nick%22">van de Giesen, Nick</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Advances+in+Water+Resources%22">Advances in Water Resources</searchLink>. Jan2015, Vol. 75, p1-13. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Flood+control%22">Flood control</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+theory%22">Prediction theory</searchLink><br /><searchLink fieldCode="DE" term="%22Storms%22">Storms</searchLink><br /><searchLink fieldCode="DE" term="%22Flood+damage%22">Flood damage</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Advances in Water Resources is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.advwatres.2014.10.010
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 1
    Subjects:
      – SubjectFull: Flood control
        Type: general
      – SubjectFull: Prediction theory
        Type: general
      – SubjectFull: Storms
        Type: general
      – SubjectFull: Flood damage
        Type: general
      – SubjectFull: Computational complexity
        Type: general
    Titles:
      – TitleFull: Operational flood control of a low-lying delta system using large time step Model Predictive Control.
        Type: main
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            NameFull: Tian, Xin
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            NameFull: van Overloop, Peter-Jules
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            NameFull: Negenborn, Rudy R.
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            NameFull: van de Giesen, Nick
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            – D: 01
              M: 01
              Text: Jan2015
              Type: published
              Y: 2015
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              Value: 75
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            – TitleFull: Advances in Water Resources
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