• DocumentCode
    558406
  • Title

    SSR risk alleviation in dual-rotor wind turbine by employing genetic solutions

  • Author

    Farahani, E.M. ; Hosseinzadeh, N. ; Ektesabi, M.M.

  • Author_Institution
    Eng. Fac., Swinburne Univ. of Technol., Melbourne, VIC, Australia
  • fYear
    2011
  • fDate
    25-28 Sept. 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The risk of subsynchronous resonance (SSR) is likely in power stations which are connected to power systems through series compensated transmission lines. Wind farms are not exempted from this issue. Recently a new technology of wind turbines, i.e. dual-rotor turbines, has been introduced. The performance of this wind turbine is enhanced compared to a single-rotor turbine in both aspects of energy efficiency and dynamic stability. However, since the number of mechanical components in dual rotor system is higher than the single-rotor case, therefore the risk of SSR in dual-rotor wind turbine is higher. This problem may be considered as a serious drawback for the new technology. This paper, at first, studies transient oscillations of the generator speed in both single and dual rotor systems after a sudden increase in electrical load. The frequency elements of the responses are calculated and compared together. Then, genetic algorithm (GA) is employed to optimize the dual-rotor system parameters for reducing the SSR possibility. This method assists us to lower the risk of SSR in dual-rotor wind turbine and keep it at the same level of single-rotor one.
  • Keywords
    genetic algorithms; power stations; power system dynamic stability; power transmission lines; rotors; turbogenerators; wind power plants; wind turbines; GA; SSR risk alleviation; dual-rotor wind turbine; dynamic stability; energy efficiency; generator speed transient oscillation; genetic algorithm; power station; power transmission line system; series compensated transmission line; single-rotor wind turbine; subsynchronous resonance risk alleviation; wind farm; Blades; Gears; Generators; Genetic algorithms; Rotors; Shafts; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference (AUPEC), 2011 21st Australasian
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4577-1793-2
  • Type

    conf

  • Filename
    6102536