摘要
风力机的主动偏航可以使尾流偏转,从而减小尾流对下游风力机的冲击。尾流效应会增大风力机的疲劳载荷和功率损失,上游风电场的尾流不断叠加,在风电场间形成大规模的尾迹簇,对下游风力机载荷和功率影响更加明显。为明确风电场间尾流的影响,使用WFsim仿真了偏航与未偏航时,上游风电场尾迹簇在场间和下游风电场的尾迹变化以及单个风力机的平均功率变化。以12 m/s为仿真风速,对2个相隔15D和20D的风电场进行了偏航和没有偏航的仿真分析,结果表明偏航可以大度幅提升下游风电场首排风力机的功率输出,并对之后的风力机影响相对较小,这意味着场间尾流主要影响下游风电场的首排风力机。另外,增大风电场间距可有效减小场间尾流影响。
The active yaw of the wind turbine can deflect the wake,and thus,reduce the impact of the wake on the downstream wind turbine.The wake effect will increase the fatigue load and power loss of wind turbines.Furthermore,the wake of upstream wind farms is constantly superimposed,forming a large-scale wake cluster between wind farms,which has a more obvious influence on the load and power of downstream wind turbines.At present,there is a tendency for multiple wind farms to gather and develop in the same area.In order to clarify the influence of wake between wind farms,WFsim is used in this paper to simulate the changes of wake clusters between fields and in downstream wind farms as well as the changes of average power of a single wind turbine during yawed and unyawed.12m/s of wind speed is used in the simulation,the yawed and unyawed simulation analysis of two wind farms separated by 15D and 20D are carried out.The results show that yawed condition can increase the power output of the first row wind turbines of the downstream wind farm sharply,and has relatively little influence on the wind turbines behind the first row of the downstream wind farm,which means that the interfield wake mainly affects the first row wind turbines of the downstream wind farm.In addition,increasing the spacing between wind farms can reduce the impact of wake between fields effectively.
作者
张立栋
李国浩
杨世宇
李钦伟
潘东旭
张煜涵
陈国旗
ZHANG Lidong;LI Guohao;YANG Shiyu;LI Qingwei;PAN Dongxu;ZHANG Yuhan;CHEN Guoqi(School of Energy and Power Engineering,Northeast Electric Power University,Jilin 132012,Jilin Province,China;Power China Jilin Electric Power Survey and Design Institute Co.,Ltd.,Changchun 130021,Jilin Province,China;Fuxin Regional Wind Farm of New Energy Business Department,Liaoning Branch of China Datang Group Co.,Ltd.,Fuxin 123000,Liaoning Province,China;China Resources Power Yunan New Energy Company,Luohe 462000,Henan Province,China;China Huadian Corporation Advanced Training Center Co.,Ltd.,Miyun District,Beijing 101500,China)
出处
《分布式能源》
2023年第1期57-62,共6页
Distributed Energy
基金
吉林省科技厅重点研发项目(20200403141SF)。
