• DocumentCode
    2938849
  • Title

    Model Predictive Control of distributed energy resources

  • Author

    Mehleri, E.D. ; Sarimveis, H. ; Papageorgiou, L.G. ; Markatos, N.C.

  • Author_Institution
    Sch. of Chem. Eng., Nat. Tech. Univ. of Athens, Athens, Greece
  • fYear
    2012
  • fDate
    3-6 July 2012
  • Firstpage
    672
  • Lastpage
    678
  • Abstract
    Distributed energy resources (DER) are expected to play a critical role in the near future due to a number of advantages they have compared to conventional centralised power systems. DER systems typically involve many components that combine different technologies for producing and storing electrical energy and heat. Thus, operational optimisation and control of DER systems is a challenging task. In this work, the Model Predictive Control (MPC) rolling horizon approach is adopted to design a control strategy for DER systems. The proposed approach is not limited to single households but addresses DER systems in the neighbourhood level, taking into account the possibility of energy exchange among neighbouring households.
  • Keywords
    control system synthesis; energy resources; predictive control; DER systems; MPC rolling horizon approach; centralised power systems; control strategy design; distributed energy resources; electrical energy; energy exchange; model predictive control; neighbourhood level; neighbouring households; operational optimisation; Cogeneration; Density estimation robust algorithm; Electricity; Equations; Resistance heating; Storage tanks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (MED), 2012 20th Mediterranean Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-2530-1
  • Electronic_ISBN
    978-1-4673-2529-5
  • Type

    conf

  • DOI
    10.1109/MED.2012.6265715
  • Filename
    6265715