• DocumentCode
    3426220
  • Title

    Explicit coordination for MPC-based distributed control with application to Hydro-Power Valleys

  • Author

    Flórez, Jennifer Zárate ; Martinez, John J. ; Besançon, Gildas ; Faille, Damien

  • Author_Institution
    Grenoble-INP, Grenoble, France
  • fYear
    2011
  • fDate
    12-15 Dec. 2011
  • Firstpage
    830
  • Lastpage
    835
  • Abstract
    This paper discusses a decomposition-coordination control approach for large-scale systems, based on distributed MPC controllers and a specific coordination, with an application to the control of a so-called Hydro-Power Valley. The coordination strategy here explored can be characterized as an explicit interaction-prediction method, in the sense that the coordinator distributes predicted interactions to each subsystem on the basis of the information collected from those subsystems on the one hand, and takes advantage of explicit solutions for linear MPC control to globally update those predictions on the other hand. It is emphasized in the paper how this makes the approach suitable for real-time implementation, constraint handling, and communication limitations. In particular promising simulation results are provided for an industrial based Hydro-Power Valley case-study, chosen for the purpose of illustration, but using real data from French main electricity provider EDF.
  • Keywords
    distributed control; hydroelectric power stations; power system control; predictive control; French main electricity provider; Hydro-Power Valleys; MPC-based distributed control; constraint handling; decomposition-coordination control approach; explicit interaction-prediction method; large-scale systems; linear MPC control; Atmospheric modeling; Face; Optimization; Real time systems; Reservoirs; Turbines; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-61284-800-6
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2011.6160451
  • Filename
    6160451