• DocumentCode
    728682
  • Title

    A Mixed-Integer Linear Programming approach to wind farm layout and inter-array cable routing

  • Author

    Fischetti, Martina ; Leth, John ; Borchersen, Anders Bech

  • Author_Institution
    Oper. Res., DTU Manage., Lyngby, Denmark
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    5907
  • Lastpage
    5912
  • Abstract
    A Mixed-Integer Linear Programming (MILP) approach is proposed to optimize the turbine allocation and inter-array offshore cable routing. The two problems are considered with a two steps strategy, solving the layout problem first and then the cable problem. We give an introduction to both problems and present the MILP models we developed to solve them. To deal with interference in the onshore cases, we propose an adaptation of the standard Jensen´s model, suitable for 3D cases. A simple Stochastic Programming variant of our model allows us to consider different wind scenarios in the optimization. For the inter-array cable routing, we propose a new MILP model able to deal with different constraints arsing in practical application, such as capacity limitations, substation limitations and non-crossing constraints. Computational results on real-world instances prove the practical viability of the approach.
  • Keywords
    integer programming; linear programming; network routing; offshore installations; power cables; power generation planning; power system simulation; stochastic programming; wind power plants; wind turbines; Jensen´s model; MILP models; interarray offshore cable routing; mixed-integer linear programming; stochastic programming; substation limitations; turbine allocation; wind farm layout; Adaptation models; Interference; Layout; Optimization; Substations; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7172266
  • Filename
    7172266