• DocumentCode
    2457252
  • Title

    Modeling and control of aggregated Super-Capacitor Energy Storage system for wind power generation

  • Author

    Li, Xiao ; Hu, Changsheng ; Liu, Changjin ; Xu, Dehong

  • Author_Institution
    Dept. of Electr. Eng., Zhejiang Univ.
  • fYear
    2008
  • fDate
    10-13 Nov. 2008
  • Firstpage
    3370
  • Lastpage
    3375
  • Abstract
    Wind power fluctuations that have adverse impacts on power quality are becoming more serious as wind energy reaches higher level of penetration. This paper focuses on the control design of super-capacitor energy storage system (SCES) which serves for the whole wind farm. The control method of the aggregated SCES is proposed for smoothing medium frequency wind power fluctuations and maintaining wind farm terminal voltage. A modified SCES controller is studied including active and reactive power decoupled control, double-loop control of bidirectional buck-boost converter and super-capacitor voltage management. Design of the control loops are discussed based on the SCES small-signal model. The effectiveness of the control strategy is validated by simulation in PSCAD/EMTDC.
  • Keywords
    control system synthesis; power convertors; power supply quality; reactive power control; supercapacitors; wind power plants; PSCAD-EMTDC; active decoupled control; bidirectional buck-boost converter; control design; double-loop control; power quality; reactive power decoupled control; smoothing medium frequency wind power fluctuations; supercapacitor energy storage system; supercapacitor voltage management; wind farm terminal voltage; wind power generation; Control design; Energy storage; Fluctuations; Power quality; Power system modeling; Smoothing methods; Voltage control; Wind energy; Wind farms; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-1767-4
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2008.4758501
  • Filename
    4758501