• DocumentCode
    2335009
  • Title

    Active power maximizing for Wind Electrical Energy Generating Systems moved by a Modular Multiple Blade Fixed Pitch Wind Turbine

  • Author

    Cecconi, V. ; Dio, V. Di ; Tommaso, A. O Di ; Tommaso, S. Di ; La Cascia, D. ; Miceli, R.

  • Author_Institution
    Dept. of Electr., Electron. & Telecommun. Eng., Univ. of Palermo Viale delle Sci., Palermo
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    1460
  • Lastpage
    1465
  • Abstract
    This paper proposes a new solution for wind electrical energy generating system (WEEGS). The system here taken into account is moved by a modular multiple blade fixed pitch wind turbine (MMBFPWT) and foresees a new MPPT algorithm whose main characteristics are low cost, low noise, buildings simplicity and modularity. The mathematical model of the entire WEEGS has been here developed taking into account all the components starting from the wind turbine and ending with the electrical grid. The WEEGS mathematical model has been implemented in Matlab-Simulink in order to carry out the simulations needed to test the effectiveness of the proposed WEEGS. The simulations results show the effectiveness of both the designed MMBFPWT and the conceived MPPT algorithm.
  • Keywords
    mathematical analysis; power grids; wind power plants; wind turbines; Matlab-Simulink; active power maximization; electrical grid; mathematical model; maximum power point tracking algorithm; modular multiple blade fixed pitch wind turbine; wind energy generating systems; Blades; Computer languages; Costs; Mathematical model; Power generation; Testing; Wind energy; Wind energy generation; Wind power generation; Wind turbines; fixed pitch wind turbine; maximum power point tracking; wound rotor induction generator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Electrical Drives, Automation and Motion, 2008. SPEEDAM 2008. International Symposium on
  • Conference_Location
    Ischia
  • Print_ISBN
    978-1-4244-1663-9
  • Electronic_ISBN
    978-1-4244-1664-6
  • Type

    conf

  • DOI
    10.1109/SPEEDHAM.2008.4581301
  • Filename
    4581301