• DocumentCode
    3267983
  • Title

    Optimum wind turbines operation for minimizing wake effect losses in offshore wind farms

  • Author

    Serrano Gonzalez, Javier ; Burgos Payan, Manuel ; Riquelme Santos, Jesus

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Seville, Seville, Spain
  • fYear
    2013
  • fDate
    1-3 Nov. 2013
  • Firstpage
    188
  • Lastpage
    192
  • Abstract
    This paper presents a new methodology for optimizing the wake effect performance and, therefore, the energy captured by the wind turbines in an offshore wind farm. The optimization is done by controlling the pitch angle and the tip speed ratio of each one of the wind turbines in order to minimize the overall wake effect between wind turbines and, as a consequence, maximize the power produced by the facility. The optimization is performed by using a genetic algorithm with the aim of maximizing the power production. The production model considers aspects as the wind turbine power coefficient dependence on the pitch angle and the tip speed ratio as well as the influence of these variables on the wake effect performance.
  • Keywords
    genetic algorithms; offshore installations; wind power plants; wind turbines; genetic algorithm; offshore wind farm; optimum wind turbine operation; pitch angle control; wake effect loss minimization; Genetic algorithms; Optimization; Rotors; Wind farms; Wind speed; Wind turbines; Genetic Algorithm; Offshore Wind Farm; Wake effect; Wind energy; Wind farm; Wind turbine control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2013 13th International Conference on
  • Conference_Location
    Wroclaw
  • Print_ISBN
    978-1-4799-2802-6
  • Type

    conf

  • DOI
    10.1109/EEEIC-2.2013.6737905
  • Filename
    6737905