• DocumentCode
    3600633
  • Title

    Optimization of the Connection Topology of an Offshore Wind Farm Network

  • Author

    Dahmani, Ouahid ; Bourguet, Salvy ; Machmoum, Mohamed ; Guerin, Patrick ; Rhein, Pauline ; Josse, Lionel

  • Author_Institution
    Inst. de Rech. en Energie Electr. de Nantes Atlantique, Univ. de Nantes, St. Nazaire, France
  • Volume
    9
  • Issue
    4
  • fYear
    2015
  • Firstpage
    1519
  • Lastpage
    1528
  • Abstract
    In this paper, an approach based on a genetic algorithm is presented in order to optimize the connection topology of an offshore wind farm network. The main objective is to introduce a technique of coding a network topology to a binary string. The first advantage is that the optimal connections of both middle- and high-voltage alternating-current grids are considered, i.e., the radial clustering of wind turbines, the number and locations of the offshore electrical substations, and the number of high-voltage cables. The second improvement consists of removing infeasible network configurations as designs with crossing cables and thereby reduces the search space of solutions.
  • Keywords
    binary codes; encoding; genetic algorithms; offshore installations; power cables; power generation planning; power grids; substations; wind power plants; wind turbines; binary string; connection topology; genetic algorithm; high-voltage alternating-current grids; high-voltage cables; middle-voltage alternating-current grids; network topology; offshore electrical substations; offshore wind farm network; optimal connections; radial clustering; wind turbines; Investment; Network topology; Optimization; Power cables; Substations; Topology; Wind farms; Genetic algorithm (GA); Prim´s algorithm; network planning; offshore wind farm (OWF); optimization;
  • fLanguage
    English
  • Journal_Title
    Systems Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1932-8184
  • Type

    jour

  • DOI
    10.1109/JSYST.2014.2330064
  • Filename
    6887302