• DocumentCode
    3301488
  • Title

    An improved evolutive algorithm for large offshore wind farm optimum turbines layout

  • Author

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

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Sevilla, Sevilla, Spain
  • fYear
    2011
  • fDate
    19-23 June 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A tool for optimal wind turbines location in large offshore wind farms is proposed. The algorithm objective is to optimize the profits given an investment on an offshore wind farm. Net Present Value (NPV) is used as a figure of the revenue in the proposed method. To estimate the NPV is necessary to calculate the initial capital investment and net cash flow during the offshore wind farm life cycle. The problem is an integer-mixed type problem, exhibits manifold optimal solutions (convexity) and some variables have a range of non allowed values (solutions space not simply connected). This fact makes the problem non-derivable, preventing the use of classical analytical optimization techniques. The proposed optimization algorithm is an improved evolutionary algorithm, for which crossover and mutation operations, specifics to the problem of micro positioning, have been developed.
  • Keywords
    evolutionary computation; integer programming; investment; offshore installations; power generation economics; wind turbines; analytical optimization techniques; improved evolutionary algorithm; initial capital investment; integer-mixed type problem; large offshore wind farm optimum turbines layout; net cash flow; net present value; offshore wind farm life cycle; Electricity; Investments; Optimization; Substations; Wind farms; Wind speed; Wind turbines; Evolutive algorithms; genetic algorithms; micrositing; offshore wind farm; optimization; wake effect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2011 IEEE Trondheim
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-8419-5
  • Electronic_ISBN
    978-1-4244-8417-1
  • Type

    conf

  • DOI
    10.1109/PTC.2011.6019366
  • Filename
    6019366