• DocumentCode
    2095011
  • Title

    Two-frequency-loop control for Wind Energy Conversion System based on optimal fault tolerant

  • Author

    Wang Xiao ; Wang Yan ; Ji Zhicheng

  • Author_Institution
    Inst. of Electr. Autom., Jiangnan Univ., Wuxi, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    3969
  • Lastpage
    3973
  • Abstract
    For the Wind Energy Conversion System, when the sensors and the actuators are error, according to multi-time scale of wind speed, two-frequency-loop model is established for WECS based on the nonlinear mechanical model. According to the two-frequency-loop model, PI static optimal control is used in the low-frequency-loop, while by using a reduced order fault observer to detect the state of fault and the state of the system at the same time, then adopt a optimal fault-tolerant control, and then maximize the efficiency of captured wind energy, as well as the system work well when the sensors and the actuators are error. Simulation results demonstrate that when the sensors and the actuators are error, the feasibility of two-frequency-loop control based on the optimal fault-tolerant control is effective.
  • Keywords
    PI control; fault tolerance; optimal control; power conversion; power system control; power system faults; reduced order systems; wind power; PI static optimal control; multitime scale; nonlinear mechanical model; optimal fault tolerant; optimal fault-tolerant control; reduced order fault observer; two-frequency-loop control; two-frequency-loop model; wind energy conversion system; wind speed; Actuators; Fault tolerance; Fault tolerant systems; Optimal control; Optimized production technology; Sensors; Wind energy; Optimal Fault-Tolerant Control; Reduced Order Fault Observer; Two-frequency-loop; Wind Energy Conversion System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5572956