Optimization of Wind Farm Layout Using Genetic Algorithm

Tales G. do Couto, Bruno Farias, Alberto Carlos G.C. Diniz, Marcus Vinicius G. de Morais (University of Brasília)

This paper describes the development of a layout optimization algorithm of wind farms. Given the wind’s condition, and the combination of the characteristics and number of wind turbines, it determines the optimal position of each turbine, so that the wind farm’s efficiency is maximized. First, a code is developed in MATLAB for wind farm energy production calculation. This code is based on a simple wake model that considers the cumulative impact of multiple shadowing and thrust coefficient curve CT. Then, the optimization algorithm developed in modeFRONTIER is demonstrated. Lastly, tests and verifications are performed and its results are compared with the commercial software WindFarmer and previous studies.