Optimal wind turbines positioning in a wind farm: a case study of the mil nader region

This paper represents a method to determine the optimal location of wind turbines in a wind farm. Some important factors should be considered when wind turbines are placed within a wind farm to achieve the highest efficiency. In this study, the position of turbines are determined to extract the maximum annual energy by reducing the wake effect in the farm. In addition, the road construction and cabling costs have been also considered as the objectives of the problem. To implement this optimization method, we have used an annual wind data including wind speed and direction, measured with tenminute intervals for Mil Nader region in Iran. This region has high potential for installing a wind farm due to the high wind speed during a year. Genetic algorithm is applied for optimization of this multi-objective problem. The simulation results of the proposed method, compared to some other sitting methods, demonstrate that the proposed method is capable of reducing the investment costs for installation of a wind farm and it can increase the annual output energy by reducing the wake effect.