Research On Wind Farm Layout Optimization Based On 2D Wake Models

The use of precise wake models in the wind farm layout optimization process helps maximize power generation while minimizing energy costs and extending the life of the wind turbine.The Jensen wake model is still widely used in wind engineering applications and commercial software to simulate wake effects between wind turbines,with large inaccuracies and limitations.Aiming at this problem,a multigroup genetic algorithm based on two-dimensional wake model is proposed to optimize the wind farm layout.This method has a large number of optimization results as data comparison support.Firstly,a high-precision two-dimensional wake model is proposed based on the mass conservation and the linear expansion characteristics of the wake called the 2D Jensen-Gaussian wake model,which is optimized and verified afterwards.Secondly,based on the improvement of genetic algorithm,a more effective optimization layout algorithm named multiple group genetic algorithm is proposed.Finally,based on Jensen wake model,Frandsen wake model,2D_k Jensen wake model and 2D Jensen-Gaussian wake model,the performance of these four models in wind farm layout optimization is studied by using multi-population genetic algorithm.In order to facilitate comparative analysis,three wind speed and wind conditions commonly used in wind farm layout optimization research are used.This study compares and verifies the results of this study with the previous research results.The results show that the Jensen wake model performs relatively well in case one.Since the Jensen wake model assumes that the speed loss is a linear expansion wake,and the wind speed loss is only related to the rear distance of the rotor and is kept constant in the downwind direction,the wind condition of the latter is too complicated to be accurately predicted,which is contrary to the reality.Far from being able to describe an accurate speed field.In addition,the performance of the Frandsen wake model is similar to the Jensen wake model,and it also underestimates the wind speed loss,but it is closer to the actual situation than the former,and produces a more economical optimization scheme.The Frandsen wake model It began to show its superiority and predicted better performance than the former in complex wind conditions.Both two-dimensional wake models are more accurate in predicting power because they take into account wake losses and make reasonable corrections.The comprehensive analysis shows that the 2D Jensen-Gaussian wake model has good calculation performance regardless of the velocity distribution in the wake of the wind turbine and the prediction of the wind farm power generation.The model,the layout optimization results obtained by the MPGA program are not only effective,but also have good returns,and the prediction of the actual wind farm is the most accurate.It can be inferred that the optimization method based on the 2D Jensen-Gaussian wake model can be used for wind farm wind turbine layout work,which can provide developers with more accurate wind farm characteristic data.