• DocumentCode
    2420117
  • Title

    Load-shedding probabilities with hybrid renewable power generation and energy storage

  • Author

    Xu, Huan ; Topcu, Ufuk ; Low, Steven H. ; Clarke, Christopher R. ; Chandy, K. Mani

  • Author_Institution
    California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2010
  • fDate
    Sept. 29 2010-Oct. 1 2010
  • Firstpage
    233
  • Lastpage
    239
  • Abstract
    The integration of renewable energy resources, such as solar and wind power, into the electric grid presents challenges partly due to the intermittency in the power output. These difficulties can be alleviated by effectively utilizing energy storage. We consider, as a case study, the integration of renewable resources into the electric power generation portfolio of an island off the coast of Southern California, Santa Catalina Island, and investigate the feasibility of replacing diesel generation entirely with solar photovoltaics (PV) and wind turbines, supplemented with energy storage. We use a simple storage model alongside a combination of renewables and varying load-shedding characterizations to determine the appropriate area of PV cells, number of wind turbines, and energy storage capacity needed to stay below a certain threshold probability for load-shedding over a pre-specified period of time and long-term expected fraction of time at load-shedding.
  • Keywords
    energy storage; hybrid power systems; load shedding; photovoltaic power systems; renewable energy sources; wind turbines; PV cells; Santa Catalina Island; Southern California; energy storage; hybrid renewable power generation; load-shedding probabilities; renewable energy resources; solar power; wind power; wind turbines; Capacity planning; Energy storage; Load modeling; Markov processes; Renewable energy resources; Solids; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing (Allerton), 2010 48th Annual Allerton Conference on
  • Conference_Location
    Allerton, IL
  • Print_ISBN
    978-1-4244-8215-3
  • Type

    conf

  • DOI
    10.1109/ALLERTON.2010.5706912
  • Filename
    5706912