Optimal Micro-siting of Wind Farms by Particle Swarm Optimization

  • Chunqiu Wan
  • Jun Wang
  • Geng Yang
  • Xing Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6145)


This paper proposes a novel approach to optimal placement of wind turbines in the continuous space of a wind farm. The control objective is to maximize the power produced by a farm with a fixed number of turbines while guaranteeing the distance between turbines no less than the allowed minimal distance for turbine operation safety. The problem of wind farm micro-siting with space constraints is formulated to a constrained optimization problem and solved by a particle swarm optimization (PSO) algorithm based on penalty functions. Simulation results demonstrate that the PSO approach is more suitable and effective for micro-siting than the classical binary-coded genetic algorithms.


wind farm micro-siting particle swarm optimization penalty function 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Chunqiu Wan
    • 1
  • Jun Wang
    • 1
    • 3
  • Geng Yang
    • 1
  • Xing Zhang
    • 2
  1. 1.Department of AutomationTsinghua UniversityBeijingChina
  2. 2.School of AerospaceTsinghua UniversityBeijingChina
  3. 3.Dept. of Control Science & Engn.Tongji UniversityShanghaiChina

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