• DocumentCode
    51104
  • Title

    Small Wind Turbine Sensorless MPPT: Robustness Analysis and Lossless Approach

  • Author

    Urtasun, Andoni ; Sanchis, Pablo ; Marroyo, Luis

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Public Univ. of Navarra, Pamplona, Spain
  • Volume
    50
  • Issue
    6
  • fYear
    2014
  • fDate
    Nov.-Dec. 2014
  • Firstpage
    4113
  • Lastpage
    4121
  • Abstract
    The configuration permanent-magnet synchronous generator with a diode bridge is frequently used in small wind energy conversion systems due to its reliability and low cost. In order to perform a sensorless maximum power point tracking, a suitable method consists of imposing the relationship between the dc current and the dc voltage in optimum operation. However, this strategy requires having knowledge of the system parameters, which are inaccurately known and can vary in real applications. Thus, the optimum curve is not precisely obtained, leading to power losses. This paper evaluates to what extent the power is reduced due to parameter errors. It is shown how the power can be drastically decreased due to some parameter variation, whereas it is not affected by others such as the resistance, which can then be neglected in order to simplify the model. Simulation results for an actual wind profile validate the theoretical analysis.
  • Keywords
    diodes; maximum power point trackers; permanent magnet generators; wind turbines; configuration permanent-magnet synchronous generator; dc current; dc voltage; diode bridge; lossless approach; reliability; robustness analysis; sensorless maximum power point tracking; system parameters; theoretical analysis; wind energy conversion systems; wind profile; wind turbine sensorless MPPT; Bridge circuits; Electromagnetics; Inductors; Resistance; Steady-state; Wind speed; Wind turbines; Diode bridge; maximum power point tracking (MPPT); permanent-magnet synchronous generator (PMSG); robustness analysis; sensorless control; variable-speed wind generation;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2014.2313650
  • Filename
    6778033