Wind farm micro-siting based on auto-regressive wind prediction

The variety of the wind resource brings much uncertainty to the long-term wind condition, on which wind farm micro-siting is based. In this paper, a novel method based on the long-term prediction of wind distributions is proposed to optimize the micro-siting of wind farms. Long-term wind resource is described by the annual probability of wind speeds and directions. The auto-regressive model is applied to predict the wind characteristics and the genetic algorithm is used to optimize micro-siting. The data of a wind farm in Netherland is used to test the validity of the proposed method. The simulation results show that the method maximizes the generated power and improves the efficiency of utilization of wind energy.