Closed-loop model predictive control with mixed-integer optimization of a river reach with weirs

Klaudia Horváth; Bart van Esch; Ivo Pothof; Tjerk Vreeken; Jan Talsma; Jorn Baayen

doi:10.1016/j.ifacol.2019.11.013

Closed-loop model predictive control with mixed-integer optimization of a river reach with weirs

Klaudia Horváth
, Bart van Esch
, Ivo Pothof
, Tjerk Vreeken
, Jan Talsma
, Jorn Baayen

Power & Flow

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

66 Downloads (Pure)

Abstract

A decision support system for water management based on convex optimization, is applied to a water system containing river branches connected by weirs. This paper describes a convex approximation approach for the model predictive control of weirs implemented using RTC-Tools 2. Model predictive control using RTC-Tools 2 is implemented for a river that contains 12 river reaches divided by controllable weirs and it is tested in closed loop simulation with a non-linear model. By controlling the weir heights, it is shown how the discharge wave is dispatched in the river without the water levels exceeding the bounds.

Original language	English
Pages (from-to)	81-87
Number of pages	7
Journal	IFAC-PapersOnLine
Volume	52
Issue number	23
DOIs	https://doi.org/10.1016/j.ifacol.2019.11.013
Publication status	Published - Sept 2019
Event	1st IFAC Workshop on Control Methods for Water Resource Systems, CMWRS 2019 - Delft, Netherlands Duration: 19 Sept 2019 → 20 Sept 2019

Bibliographical note

Funding Information:
This research is carried out within the Slim Malen project. The Slim Malen (Smart Drainage) project is funded and performed by the following partners: STOWA, Ministry of Economic Affairs (RVO), Deltares, Eindhoven University of Technology, Ministry of Infra and Environment (Rijkswaterstaat ? WVL), Water Authorities Hoogheemraadschap Hollands Noorderkwartier, Frysl?n, Zuiderzeeland, Rivierenland, Scheldestromen, Rijnland, Brabantse Delta and Hollandse Delta and by companies Nelen & Schuurmans, e-Risk Group, Eneco, Delta, Alliander EXE, Actility, XYLEM and KISTERS.

Publisher Copyright:
Copyright © 2019. The Authors. Published by Elsevier Ltd. All rights reserved.

Funding

This research is carried out within the Slim Malen project. The Slim Malen (Smart Drainage) project is funded and performed by the following partners: STOWA, Ministry of Economic Affairs (RVO), Deltares, Eindhoven University of Technology, Ministry of Infra and Environment (Rijkswaterstaat ? WVL), Water Authorities Hoogheemraadschap Hollands Noorderkwartier, Frysl?n, Zuiderzeeland, Rivierenland, Scheldestromen, Rijnland, Brabantse Delta and Hollandse Delta and by companies Nelen & Schuurmans, e-Risk Group, Eneco, Delta, Alliander EXE, Actility, XYLEM and KISTERS.

Keywords

Convex
Hydraulic structures
Model predictive control
Optimization
Weir

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10.1016/j.ifacol.2019.11.013

published versionFinal published version, 510 KBLicence: CC BY-NC-ND

Cite this

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title = "Closed-loop model predictive control with mixed-integer optimization of a river reach with weirs",

abstract = "A decision support system for water management based on convex optimization, is applied to a water system containing river branches connected by weirs. This paper describes a convex approximation approach for the model predictive control of weirs implemented using RTC-Tools 2. Model predictive control using RTC-Tools 2 is implemented for a river that contains 12 river reaches divided by controllable weirs and it is tested in closed loop simulation with a non-linear model. By controlling the weir heights, it is shown how the discharge wave is dispatched in the river without the water levels exceeding the bounds.",

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AU - Talsma, Jan

AU - Baayen, Jorn

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Closed-loop model predictive control with mixed-integer optimization of a river reach with weirs

Abstract

Bibliographical note

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Keywords

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