• DocumentCode
    2646275
  • Title

    Maximum power point tracking in wind farms by means of a multivariable algorithm

  • Author

    Ramos-Paja, C.A. ; Saavedra-Montes, A.J. ; Arango, E.

  • Author_Institution
    Fac. de Minas, Univ. Nac. de Colombia, Medellin, Colombia
  • fYear
    2012
  • fDate
    2-4 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A maximum power point tracking strategy based on a multivariable perturb and observe algorithm aimed at maximizes the power generated in wind farms, reducing the requirements in terms of current sensors and control units is presented in this paper. Such a solution increases the economical viability of wind power systems, since the same power is extracted in comparison with classical wind farms, but a reduced number of components are required. Comparison of the power extracted from a generalized wind farm using the algorithm proposed vs a traditional MPPT algorithm is presented. Simulation results confirm that the proposed solution extracts the maximum power but only using one current sensor and one control unit.
  • Keywords
    maximum power point trackers; multivariable control systems; observers; power generation control; sensors; wind power plants; MPPT algorithm; control units; economical viability; generated power; maximum power point tracking strategy; multivariable algorithm; multivariable perturb algorithm; observe algorithm; sensors; wind farms; wind power systems; DC-DC power converters; Generators; Sensors; Wind farms; Wind power generation; Wind speed; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering Applications (WEA), 2012 Workshop on
  • Conference_Location
    Bogota
  • Print_ISBN
    978-1-4673-0871-7
  • Type

    conf

  • DOI
    10.1109/WEA.2012.6242771
  • Filename
    6242771