DocumentCode :
189170
Title :
Economic MPC for the management of drinking water networks
Author :
Grosso, J.M. ; Ocampo-Martinez, C. ; Puig, V. ; Limon, D. ; Pereira, M.
Author_Institution :
Adv. Control Syst. Res. Group (SAC), Inst. de Robot. i Inf. Ind., Barcelona, Spain
fYear :
2014
fDate :
24-27 June 2014
Firstpage :
790
Lastpage :
795
Abstract :
This paper addresses the management of drinking water networks (DWNs) regarding a multi-objective cost function by means of economically-oriented model predictive control (EMPC) strategies. Specifically, assuming the water demand and the energy price as periodically time-varying signals, this paper shows that the EMPC framework is flexible to enhance the control of DWNs without relying on hierarchical control schemes that require the use of real-time optimisers (RTO) or steady-state target optimisers (SSTO) in an upper layer. Four different MPC strategies are discussed in this paper: a hierarchical two-layer approach, a standard EMPC where the multi-objective cost function is optimised directly, and two different modifications of the latter, which are meant to overcome possible feasibility losses in the presence of changing operating patterns. The discussed schemes are tested and compared by means of a case study taken from a part of the Barcelona DWN.
Keywords :
periodic control; predictive control; signal processing; time-varying systems; water supply; Barcelona DWN management; EMPC strategies; drinking water consumption nodes; drinking water network management; economic MPC; economically-oriented model predictive control strategies; energy price; multiobjective cost function; operating pattern changing; periodic time-varying signals; urban water supply systems; water demand; Actuators; Cost function; Economics; Standards; Trajectory; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2014 European
Conference_Location :
Strasbourg
Print_ISBN :
978-3-9524269-1-3
Type :
conf
DOI :
10.1109/ECC.2014.6862384
Filename :
6862384
Link To Document :
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