• 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