MPC control of water supply networks

Kenneth Marx Hoe Baunsgaard, Ole Ravn, Carsten Skovmose Kallesoe, Niels Kjølstad Poulsen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


This paper investigates the modelling and predictive control of a drinking water supply network with the aim of minimising the energy and economic cost. A model predictive controller, MPC, is applied to a nonlinear model of a drinking water network that follows certain constraints to maintain consumer pressure desire. A model predictive controller, MPC, is based on a simple model that models the main characteristics of a water distribution network, optimizes a desired cost minimisation, and keeps the system inside specified constraints. In comparison to a logic (on/off) control design, controlling the drinking water supply network with the MPC showed reduction of the energy and the economic cost of running the system. This has been achieved by minimising actuator control effort and by shifting the actuator use towards the night time, where energy prices are lower. Along with energy cost reduction the MPC also achieves reduction in the amount of consumed water by keeping the pressure closer to the lower pressure constraint.
Original languageEnglish
Title of host publicationProceedings of the 15th annual European Control Conference (ECC '16)
Number of pages6
Publication date2016
Publication statusPublished - 2016
Event15th European Control Conference - Aalborg, Denmark
Duration: 29 Jun 20161 Jul 2016
Conference number: 16


Conference15th European Control Conference
Internet address


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