A Model Predictive Control Framework for Real-Time Optimisation of Water System Operations

8 pages•Published: September 20, 2018

Henrik Madsen, Anne Katrine Falk and Rasmus Halvgaard

Abstract

We have developed a versatile Model Predictive Control (MPC) framework, which can handle real-time control of a large variety of water systems. The framework combines a fast-solvable optimisation model (a quadratic program) with evaluation and realignment by a detailed hydrological-hydrodynamic model. The flexibility of the MPC framework is highlighted by two case studies: (1) a large-scale river system with several weeks of travel time, and (2) an urban storm and wastewater system with a concentration time of about half an hour to one hour. Both case studies demonstrate a large potential for improving operations by system-wide real-time optimisation.

Keyphrases: combined sewer overflow, irrigation, model predictive control, river operation, urban drainage

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 1281-1288.

Links:	https://easychair.org/publications/paper/RqfT
	https://doi.org/10.29007/fg7g

BibTeX entry

@inproceedings{HIC2018:Model_Predictive_Control_Framework,
  author    = {Henrik Madsen and Anne Katrine Falk and Rasmus Halvgaard},
  title     = {A Model Predictive Control Framework for Real-Time Optimisation of Water System Operations},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/RqfT},
  doi       = {10.29007/fg7g},
  pages     = {1281-1288},
  year      = {2018}}

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