Wind Farm Layout Optimization using Real Coded Multi-population Genetic Algorithm

Finding the optimal location of wind turbines is a challenging work by reason of the various effects of the turbine wake. Indeed, on a site gathering several wind turbines, if the turbines are too close the loss of power grows with the wake effect. In this paper, an RC-MPGA (Real Coded Multi-population Genetic Algorithm) method is proposed to search the optimal location of WTs (Wind Turbines) in Square shaped WF (wind farm), Installed on an area of 4000000 m2 ( 2000m×2000m), with the aim to maximize the electrical power generated by all WTs and grows the annual economic profitability of the WF. By using the same WF environment conditions, we can see that the proposed method is promising and presents an improvement in terms of maximum power generation when compared to other works previously studied in the literature.