• DocumentCode
    2050774
  • Title

    Performance of MRAS based speed estimators for grid connected doubly fed induction machines during voltage dips

  • Author

    Verma, V. ; Hossain, M.J. ; Saha, T. ; Chakraborty, C.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur, Kharagpur, India
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Rotor speed is required for the independent control of active power, reactive power and to achieve maximum power and also for pitch control. Speed estimation is preferred rather than sensing from accuracy, cost and reliability point of view. Different Model Reference Adaptive System (MRAS) based speed estimation techniques are available for grid connected doubly fed induction machines. Performance of all the MRAS speed estimators has been studied under normal grid voltage. As per the new grid codes, wind turbine should remain connected to the grid during severe voltage dips [1]. Hence the performance of these speed estimators should also be studied under voltage dips. This paper compares the performances of different MRAS based estimators during voltage dips up to 50% and 5% of the nominal grid voltage. This paper also shows the effect of resistance variation on speed estimation during above mentioned operating conditions. Simulation has been performed in MATLAB/SIMULINK and the results are presented for various speed estimators.
  • Keywords
    angular velocity control; asynchronous machines; machine control; power grids; reactive power control; reliability; MRAS based speed estimators; Matlab-Simulink; grid connected doubly fed induction machines; grid voltage; model reference adaptive system based speed estimation techniques; pitch control; reactive power independent control; reliability; rotor speed; voltage dips; Adaptation models; Estimation; Mathematical model; Reactive power; Resistance; Rotors; Stators; Doubly fed induction machine; MRAS; Speed estimation; Voltage dip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345006
  • Filename
    6345006