Optimizing Wind Turbine Placement for Enhanced Energy Production Using Modified Genetic Algorithm

The optimal site of wind farms is determined using an updated genetic algorithm approach, which maximizes output capacity while reducing the amount of turbines built and the area used by each farm. In particular, two examples are examined: One kind of wind is a homogeneous wind that blows in just one direction, while the other two are also possible. In the first scenario (a), 599 individuals were first split into 25 subpopulations and then evolved three thousand times. The evolution of case (b) takes place over three thousand generations, beginning with $\mathbf{6 0 0}$ individuals distributed over 19 subpopulations. Every design’s fitness, overall power generation, power output efficiency, and ideal configurations are all part of the findings. The results show that the modified genetic algorithm provides much better results compared to the conventional Genetic Algorithm method.