风电场尾流分布计算及场内优化控制方法

发布时间：2018-12-29 18:54

【摘要】：对于已建风电场,减少尾流效应,提高风电场整体输出功率,是风电场优化控制的目标之一。文中分析了风电机组状态参数变化与输出功率、尾流分布间的耦合关系,建立了尾流与风轮交汇面积的计算方法,以及多台风电机组尾流的叠加模型。针对不同来流风向及来流风速下风电场尾流分布的不同,提出了一种风电场尾流分布计算方法,用于计算每台风电机组位置处的风速;基于该尾流分布计算方法,以风电场整体输出功率最大为目标函数,轴向诱导因子为优化参数,粒子群算法为优化算法,建立风电场优化控制模型。以丹麦Horns Rev风电场为研究对象,进行计算分析,结果表明:风电场尾流分布计算方法能够准确计算风电场尾流分布,风电场优化控制方法能够提高风电场整体输出功率。
[Abstract]:One of the objectives of wind farm optimal control is to reduce wake effect and improve the output power of wind farm. In this paper, the coupling relationship between the variation of wind turbine state parameters and output power, the distribution of wake flow is analyzed, and the method of calculating the area of the intersection of wake and wind turbine, as well as the superposition model of wake of several wind turbines are established. According to the difference of wind farm wake distribution in different wind direction and wind speed, a method of wind farm wake distribution calculation is proposed, which is used to calculate the wind speed at the location of each wind turbine. Based on the wake distribution calculation method, the optimal control model of wind farm is established by taking the maximum output power of wind farm as the objective function, the axial induction factor as the optimization parameter and the particle swarm optimization algorithm as the optimization algorithm. The Horns Rev wind farm in Denmark is taken as the research object. The results show that the wind farm wake distribution calculation method can accurately calculate the wind farm wake distribution, and the wind farm optimization control method can improve the overall output power of the wind farm.
【作者单位】：华北水利水电大学电力学院;新能源电力系统国家重点实验室(华北电力大学);
【基金】：河南省重点科技攻关计划资助项目(152102210117)~~
【分类号】：TM614

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