Flatlands wind farm power generation and wake effect analysis based on Jensen model

Wind power forecast and accurate wind farm modeling play an important role in wind power generation. In this paper, models of power output, wind turbine layouts and wake effect including outage units are established. Theoretical calculations of power generation, wake effect in Jensen model and program of Back Propagation Neural Network algorithm are performed, for the purpose of having a comprehensive study on wind power generation forecast using BPNN algorithms as well as the influence of outage and wake effect. The calculation results are compared with the actual data collected from a wind farm in northeast China. The approach to an intuitive analysis of wake effect and wind power forecast in a specific wind farm is proposed.