中文摘要：

针对复杂地形条件下，风电场微观选址优化技术难度大的问题，提出一种在复杂地形下进行风电场微观选址优化的方法。应用Jensen模型和Lissaman模型，综合考虑不同高度下风速分布和风力机之间的尾流影响，其中尾流考虑了上游风力机的尾流对下游风力机转轮面的遮挡面积的影响；风向按照十六分度处理，风速按照威布尔分布处理；用每分度风速、概率密度及尾流模型分别计算每个分度的功率值；优化目标是使整个风电场的输出功率达到最大。以风力机在给定风电场中坐标为自由变量，以地形边界和风力机之间的最小距离为约束条件，通过改进的实值编码遗传算法搜索最优解。最后将该优化算法得到的最优解与经验布置方法得到的结果进行比较，证明该优化算法的优越性，指出经验布置方法的局限性。

英文摘要：

Microscopic site selection for wind farms in complex terrain is a technological difficulty in the development of onshore wind farms. This paper presented a method for optimizing wind farm layout in complex terrain. This method employed Lissaman and Jensen wake models, took wind velocity distribution law and wake loss between different turbines into consideration and calculated the sheltering area effect of wake loss from upstream wind turbines on downstream wind turbines. Wind direction was divided into sixteen sections, and the wind speed was processed by the Weibull distribution. To calculate the output of each section, we used the wind speed distribution and its probability density as well as the wake loss between wind turbines for every section. The objective function is maximization of the whole wind farm＇s power output and the free variables are the wind turbines＇ coordinates which are subject to boundary conditions and minimum distance conditions. The improved genetic algorithm （GA） for real number coding was used to search the optimal result. Then the optimized result was compared to the result from the experienced layout method. Results show the advantages of the present method, and the limitations of the experienced method.