• DocumentCode
    3475675
  • Title

    Optimization of internal electric connection system of large offshore wind farm with hybrid genetic and immune algorithm

  • Author

    Li, Dong Dong ; He, Chao ; Fu, Yang

  • Author_Institution
    Sch. of Power & Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    2476
  • Lastpage
    2481
  • Abstract
    This paper first presents development tendency and the importance of internal electric connection system of offshore wind farms. As internal electric connection system plays an important role in reliable operation of wind farm and holds considerable proportion in total investment, 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 hybrid genetic and immune algorithm is presented to search the optimal solution. The model and its solution method are then checked on a practical offshore wind farm near Shanghai, China. The results show that the optimization approach is suitable and valid.
  • Keywords
    genetic algorithms; offshore installations; power generation reliability; wind power plants; China; hybrid genetic algorithm; immune algorithm; internal electric connection system; offshore wind farm reliability; optimization approach; Costs; Genetics; Helium; Power cables; Power generation; Power system reliability; Substations; Wind energy; Wind energy generation; Wind farms; Genetic algorithm; immune algorithm; internal electric connection system; offshore wind farm; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523827
  • Filename
    4523827