针对风电机组在极端湍流工况常出现载荷极值,危及机组运行安全的问题,提出基于风电机组监测数据的湍流强度识别方法,构建利用机舱加速度间接计算湍流阈值的计算模型,并进一步提出极端湍流工况的降载策略。降载往往会造成机组发电量的损失,由此构建极端湍流工况降载优化数学模型,通过求解满足约束条件的目标函数极值,实现降载与发电量的双优兼顾。以某5 MW机组为例,通过数值仿真对降载效果进行验证,结果表明在不损失正常湍流工况发电量的情况下,机组轮毂My和塔顶My极限载荷分别降低15%和12.1%,其他部位载荷降低约5%。
Abstract
Aiming at the problem that the extreme load of wind turbine often occurs in extreme turbulent flow conditions, which endangers the operation safety of wind turbine, a turbulence intensity identification method based on wind turbine monitoring data was proposed, a calculation model of turbulence threshold indirectly calculated by nacelle acceleration was constructed, and a load reduction strategy was proposed for extreme turbulent flow conditions. Load reduction often results in generating capacity loss, so a mathematical model for load reduction optimization under extreme turbulent flow conditions is established. By solving the extreme value of the objective function satisfying the constraints, both load reduction and generating capacity can be achieved. Finally, a 5 MW wind turbine is taken as an example to verify the research results through numerical simulation, The results show that the ultimate loads of hub My and tower top My are reduced by 15% and 12.1%,respectively, and the loads of other parts are reduced by about 5%, without loss of power generation under normal conditions.
关键词
风电机组 /
湍流 /
监测 /
降载 /
湍流阈值
Key words
wind turbines /
turbulence /
monitoring /
load reduction /
turbulence threshold
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基金
江苏高校首批2011计划“沿海开发与保护协同创新中心”计划（苏政办发[2013]56号）
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