Optimization of wind farm layout with modified genetic algorithm based on boolean code

A modified genetic algorithm (GA) is developed based on the Boolean code to optimize the layout of turbines in the wind farm. With the proposed method, a 2 km x 2 km wind farm with flat terrain under three wind scenarios is planned to yield the lowest unit cost per power output. Comparing with the optimized results from previous studies, lower cost can be obtained from the proposed method. The proposed method also shows high convergence stability and efficiency regarding different dense grid configurations. The algorithm is therefore particularly suitable for siting of wind turbines in a highly dense grid. Besides, the proposed algorithm has been prepared with good adaptability and it can be adapted easily for solving optimization problems in different engineering studies.