Publication

Optimal management of Barcelona water distribution network using non-linear model predictive control

Conference Article

Conference

IFAC World Congress (IFAC)

Edition

20th

Pages

5380–5385

Doc link

https://doi.org/10.1016/j.ifacol.2017.08.1070

File

Download the digital copy of the doc pdf document

Abstract

This paper presents a non-linear optimal control strategy for the operational management of water distribution networks (WDNs) including both flow and hydraulic head/pressure constraints. The optimal operation of WDNs should guarantee water supply with suitable pressures at all the demand nodes in the network. The challenge for non-linear model predictive control in this context is to compute control strategies for the pumps and valves in a WDN to supply the required demand while optimizing performance goals related to cost and safety. A two-layer scheme is used in order to produce set-points that can be directly sent to the actuators: on-off schedules for pumps and pressure set-points for pressures reducing valves. Finally, the results of applying the proposed control strategy to a portion of the Barcelona real WDN are provided.

Categories

predictive control.

Scientific reference

Y. Wang, G. Cembrano, V. Puig, M. Urrea, J. Romera, D. Saporta, J. Valero and J. Quevedo. Optimal management of Barcelona water distribution network using non-linear model predictive control, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 5380–5385, Elsevier.