• DocumentCode
    2639608
  • Title

    Probability-based method for power capacity specification of wind energy storage systems

  • Author

    Gao, Wenzhong ; Wang, Xiaoyu ; Muljadi, Eduard

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Denver, Denver, CO, USA
  • fYear
    2011
  • fDate
    21-23 June 2011
  • Firstpage
    2050
  • Lastpage
    2055
  • Abstract
    To accommodate the wind power fluctuation, a hybrid energy storage system (HESS) consisting of battery energy system (BESS) and super-capacitor is adopted in this paper. A probability-based power capacity specification approach is proposed in this paper. Through this method the capacities of BESS and super-capacitor are properly designed to bridge the characteristics of high energy density of BESS and the characteristics of high power density of super-capacitor. Comparing to BESS for accommodating wind power fluctuations, HESS is more cost-effective due to the extension of BESS lifetime. The super-capacitor can handle the peaks in wind power fluctuations without the severe penalty of round trip losses associated with a BESS. The proposed approach has been verified based on the real wind data from an existing wind power plant.
  • Keywords
    fluctuations; hybrid power systems; probability; supercapacitors; wind power plants; battery energy system; energy density; hybrid energy storage system; power capacity specification; power density; probability-based method; real wind data; supercapacitor; wind energy storage systems; wind power fluctuation; wind power plant; Batteries; Fluctuations; Histograms; Wind farms; Wind power generation; Wind speed; Wind turbines; Battery energy storage system; hybrid energy storage system; non-parametric probability density estimation; super-capacitor; wind power fluctuation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    pending
  • Print_ISBN
    978-1-4244-8754-7
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/ICIEA.2011.5975930
  • Filename
    5975930