Wind Farm Layout Optimization with a Novel Gaussian Wake Model

This work proposes an optimal wind farm layout framework to obtain the optimal placement of wind turbines in a wind farm. The optimization objective is to minimize the average cost per net electric power generated by a wind farm with a fixed number of turbines while the distance between turbines is no less than the allowed minimal distance in the far wake region. The wind farm micro-siting problem with Frandsen's Gaussian wake model based on the conservation of momentum is formulated as a constrained optimization problem and solved by real-coded Genetic Algorithm. Simulation results demonstrate that the Frandsen's Gaussain wake model is more consistent with real wakes and thus the optimization result is more accurate than the existing practices.