• DocumentCode
    2791766
  • Title

    Sensorless maximum power point tracking in dual power flow wind energy conversion system

  • Author

    Zhu, Ying ; Cheng, Ming ; Hua, Wei

  • Author_Institution
    Sch. of Electr. Eng., Southeast Univ., Nanjing, China
  • fYear
    2012
  • fDate
    25-28 June 2012
  • Firstpage
    58
  • Lastpage
    63
  • Abstract
    This paper proposes a sensorless maximum power point tracking (MPPT) strategy for dual power flow wind energy conversion system (WECS) based on electrical variable transmission (EVT). The outer rotor torque of the EVT is suitably controlled according to the outer rotor speed to realize the MPPT without the knowledge of wind velocity. Moreover, the model reference adaptive system (MRAS) observers are adopted to observe the outer rotor speed and position. Therefore, the proposed wind energy conversion system is controlled without physical sensors such as wind speed sensor and position sensor. Both the normal and the simplified MRAS observers are analyzed and the performance of each observer is compared. The simulation models are built based on Matlab/Simulink, and the simulation results validate the feasibility and effectiveness of the sensorless MPPT control of the proposed system.
  • Keywords
    maximum power point trackers; observers; rotors; wind power plants; EVT; MPPT strategy; MRAS observers; WECS; dual power flow wind energy conversion system; electrical variable transmission; model reference adaptive system; outer rotor position; outer rotor speed; sensorless maximum power point tracking; Load flow; Mathematical model; Rotors; Stators; Torque; Wind speed; Wind turbines; Maximum power point control (MPPT); dual power flow (DPF); model reference adaptive system (MRAS); wind energy conversion system (WECS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics for Distributed Generation Systems (PEDG), 2012 3rd IEEE International Symposium on
  • Conference_Location
    Aalborg
  • Print_ISBN
    978-1-4673-2021-4
  • Electronic_ISBN
    978-1-4673-2022-1
  • Type

    conf

  • DOI
    10.1109/PEDG.2012.6253980
  • Filename
    6253980