Optimizing Wind Farm Design by Incorporating Wind Turbines of Diverse Hub Heights Through PSO

Optimizing the architecture of a wind farm is a realistic approach for increasing its power output. Previous research has suggested that the implementation of turbines featuring varying heights and elevations may enhance the generation of power. However, there have been few studies that use particle swarm optimization (PSO), and the goal was to enhance the park’s configuration, taking into account various hub heights. The authors of this paper investigate the impact of using turbines with diverse hub elevations on the production of a small park. They use PSO to create an objective function based on the Mossetti cost function to reach the turbines’ ideal arrangement while accounting for energy production costs. The findings show that deploying wind turbines with varied hub heights can boost electricity generation.