• DocumentCode
    2533242
  • Title

    Optimization of electric distribution system of large offshore wind farm with improved genetic algorithm

  • Author

    Li, Dong Dong ; He, Chao ; Shu, Hai Yan

  • Author_Institution
    Sch. of Power & Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Offshore wind farm has been one of the most effective ways to wind energy exploitation, and many new technical and economic problems are brought with development of large offshore wind farms. Electric distribution system plays an important role in reliable operation of large offshore wind farm and holds considerable proportion in total investment, so that optimization of the system is one of the key problems in development of offshore wind farms. Based on analysis of main issues of the problem, optimization model is proposed and explained in this paper. An optimization approach based on improved genetic algorithm is presented to search the optimal solution. The model and its solution method are then checked on a planning offshore wind farm in China. The results show that the optimization approach is suitable and valid.
  • Keywords
    distribution networks; genetic algorithms; offshore installations; wind power plants; electric distribution system; improved genetic algorithm; large offshore wind farm; wind energy exploitation; Costs; Genetic algorithms; Helium; Power generation; Power system reliability; Substations; Wind energy; Wind energy generation; Wind farms; Wind power generation; Optimization; electric distribution system; genetic algorithm; offshore wind farm; vaccine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596194
  • Filename
    4596194