Exploring the Effect of Passing Vehicle Search (PVS) for the Wind Farm Layout Optimization Problem

The wind farm layout optimization (WFLO) is a challenge that helps to alter the position of wind turbines and arrange in such a way that the assembly of the turbines has reduced wake effect, which improves the power output and overall efficiency of a wind farm. In the present study, a novel optimization tool, a passing vehicle search (PVS) technique has been used for optimizing the positioning of turbines to maximize the power yield and improved overall efficiency of a wind farm for a given set of turbines. The PVS algorithm is applied to square wind farm considering the multi-directional unvarying wind velocity and variable wind velocity. The numerical results indicate that PVS is leading to maximum power extraction from a wind farm, even on using the same number of turbines, despite of the substantial variations in wind speed and direction.