Bionic optimization for micro-siting of wind farm on complex terrain

The bionic method for optimizing turbine layout of wind farm on complex terrain is developed. The present bionic method employs the virtual particle wake flow model to simulate the turbine wake flow and to calculate the power output of the wind farm. The opti- mized results show that for the cases studied, the bionic method produces better solutions than the genetic algorithm with the linear wake model, especially for complex terrain. The computational time of bionic method does not obviously depends on the discretization of the wind farm area, for which the present method can be applied with high resolution with very low time cost.

Abstract

The bionic method to optimize the turbine layout of wind farm on complex terrain is developed. By employing the virtual particle model for wake flow simulation, the bionic method runs based on the flow field calculated by numerical simulations of air flow. It simulates the evolution of a turbine layout by performing the locating and relocating processes of the turbines. Optimized layouts for four different cases are obtained with the target of maximizing the total power output. The outcomes are compared with the layouts optimized by genetic algorithm with the linear wake flow model. The analysis results demonstrate that the bionic method produces solutions with higher power output than the previous approaches for all the studied situations. The present method is tested for different densities of area discretization. The result indicates that the bionic method can be applied with high resolution at very low time cost.