• DocumentCode
    1616736
  • Title

    Using load switches to control aggregated electricity demand for load following and regulation

  • Author

    Keep, Taylor M. ; Sifuentes, Froylan E. ; Auslander, David M. ; Callaway, Duncan S.

  • Author_Institution
    Energy & Resources Group, Univ. of California, Berkeley, CA, USA
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper describes a strategy to use aggregated electric loads to balance positive and negative forecast errors in power systems (either in load or renewable generation capacity). The strategy is unique in that it relies only on load switches as the source of local control actuation, yet it is capable of both decreasing and increasing aggregate load, and it requires very little disruption of end-use function. After explaining the basic principles of the method, we develop a stochastic aggregated modeling and control framework based on the load switch control scheme. We then test the approach with a detailed second-order refrigerator model and demonstrate that it is possible to engage relatively large amounts of capacity with minor (less than 2 degrees celsius) temperature deviations.
  • Keywords
    load forecasting; load regulation; power system control; stochastic processes; switches; electricity demand control; forecast errors; load regulation; load switches; power systems; second-order refrigerator model; stochastic aggregated modeling; Load modeling; Mathematical model; Power demand; Refrigerators; Thermostats; Water heating;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2011 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4577-1000-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2011.6039039
  • Filename
    6039039