Reconfiguration of Zafarana Stage-l Wind Farm Layout Based on Marine Predators Algorithm Considering Wake Effect

In the last years, the importance of wind farms layout has appeared on the surface. The simple definition of optimal layout is how to extract the maximum power from the wind at certain area with lower cost. The wind speed in the wind farm site will be affected by the distribution of wind turbines in this site. The lack of optimal distribution of wind turbines will lead to wake effect. This wake effect will reduce the output power of wind farms. From this point, this paper uses Marine Predators Algorithm (MPA) to redistribute the wind turbines of Zafarana Stage-1 Wind Farm (Zafarana-1). The proposed layout based on MPA takes into consideration the parameters of wind turbines which are already used in Zafarana-1. The proposed layout based on MPA is designed to increase the efficiency of Zafarana-1 considering wake effect. The proposed layout based on MPA can enhance the output power of Zafarana-1 at less area than the currently allocated area of Zafarana-1.