• DocumentCode
    2933900
  • Title

    Model Predictive Control Strategy for a Load Management Research Facility in the Distributed Power System with High Wind Penetration -Towards a Danish Power System with 50% Wind Penetration

  • Author

    Zong, Yi ; Kullmann, Daniel ; Thavlov, Anders ; Gehrke, Oliver ; Bindner, Henrik

  • Author_Institution
    Riso Nat. Lab. for Sustainable Energy, Tech. Univ. of Denmark, Roskilde, Denmark
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The integration of 50% wind energy into electricity system by 2025 in Denmark places strong demands on flexibility elsewhere in the system and the task of controlling the system is becoming increasingly demanding. This paper introduces PowerFlexHouse, a research facility for exploring the technical potential of active load management in a distributed power system (SYSLAB) with a high penetration of renewable energy and presents in detail on how to implement a thermal model predictive controller for the PowerFlexHouse´s power consumption prediction. With this demand side control study, we hope we can not only dramatically improve grid reliability, but also raise energy efficiencies and reduce power cost for users.
  • Keywords
    demand side management; predictive control; wind power; Denmark; distributed power system; high wind penetration; load management research facility; model predictive control strategy; Buildings; Heating; Load management; Power demand; Predictive models; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748748
  • Filename
    5748748