| Optimal positioning of wind turbines in a wind farm is a complex issue,especially in a complex terrain. Three factors are considered:(1)the number of the wind turbines,(2)the locations of wind turbines,(3)choosing the type of wind turbines.These issues directly affect the entire wind farm construction and economic benefits of the wind farms. To solve these problems, the work is as follows:Wind data from a wind farm is provided and the wind resource is assessed by MATLAB software according to methodology of wind energy resource assessment for wind farm. The wind resource conditions in a wind farm are calculated using WAsP software based on wind farm terrain data and wind data from wind towers. Besides CFD simulations are introduced and are used to simulation wind field.Jensen wake model is researched and the wake model of complex terrain is derived, wind turbines shading and interaction among different wind turbines in complex terrain are considered, thus the wind speed at the wind turbines is calculated. The real-coded genetic algorithm with constraints is employed to place wind turbines, based on wind resource calculation in a wind farm, considering wind speed and wind direction and wake model. Optimal number and locations of wind turbines are showed through the calculations, and the results indicate that the method is an effective solution for wind farm turbines layout.A method to initialize population inspired by the heuristic algorithm, particle swarm optimization algorithm with penalty functions is used for wind farm placement optimization. Optimal number and locations of wind turbines are showed through the calculations, then total wind power and the capacity factor in a wind farm are calculated based on the results and wind power curve. By comparing wind power and capacity factors of different types of wind turbines, the type of wind turbines that match the wind park is selected.This work has some significance for the actual project. |