• DocumentCode
    34497
  • Title

    Probabilistic Approach for Power Capacity Specification of Wind Energy Storage Systems

  • Author

    Xiaoyu Wang ; Meng Yue ; Muljadi, Eduard ; Wenzhong Gao

  • Author_Institution
    Brookhaven Nat. Lab., Upton, NY, USA
  • Volume
    50
  • Issue
    2
  • fYear
    2014
  • fDate
    March-April 2014
  • Firstpage
    1215
  • Lastpage
    1224
  • Abstract
    To accommodate the wind power fluctuations, a hybrid energy storage system (HESS) consisting of a battery energy storage system (BESS) and a supercapacitor is evaluated in this paper. A probabilistic approach for economically determining the power capacity specification for the HESS is proposed. This method would allow the capacities of the BESS and the supercapacitor to be properly designed to optimize the characteristics of high energy density of the BESS and high power density of the supercapacitor. Results show that the supercapacitor within the HESS helps to process the high frequency fluctuations, which contributes to the extension of the BESS lifetime. In addition, the supercapacitor helps to address the peaks in wind power fluctuations without the severe penalty of round-trip losses associated with a BESS. The proposed approach has been simulated using real wind data from an existing wind power plant in Iowa.
  • Keywords
    fault diagnosis; probability; supercapacitors; BESS; HESS; battery energy storage system; energy density; frequency fluctuations; hybrid energy storage system; power capacity specification; power density; probabilistic approach; real wind data; round-trip losses; supercapacitor; wind energy storage systems; wind power fluctuations; wind power plant; Batteries; Capacity planning; Fluctuations; Kernel; Wind power generation; Wind speed; Wind turbines; Battery energy storage system (BESS); hybrid energy storage system (HESS); nonparametric probability density estimation; supercapacitor; wind power fluctuation;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2013.2272753
  • Filename
    6557518