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Wind direction error in the Lillgrund offshore wind farm

机译:Lillgrund海上风电场风向错误

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The reduction of wake effects and maximisation of wind farm power output are always of interest to wind researchers [2][3]. However, one of the research challenges is to distinguish sensor errors from wake losses and losses due to poor yaw alignment. SCADA data from Lillgrund, the Swedish offshore wind farm, shows significant differences between the wind direction as measured at the met mast and as indicated by the nacelle directions measured at the individual wind turbines. Various possibilities might explain this data, the most likely being poor yaw control at particular wind turbines and/or sensor error. Both of these make power performance assessment and wake analysis problematic. In this paper, animations presented have been proved useful in the initial identification of turbines with potential problems. These anomalous turbines are then subject to a range of analyses designed to distinguish the different potential issues.
机译:唤醒效果的减少和风力农业输出的最大化始终是风力研究人员的感兴趣[2] [3]。然而,其中一个研究挑战是将传感器误差区分由于偏航差的对准引起的唤醒损失和损失。来自Lillgrund的SCADA数据,瑞典海上风电场,在满足桅杆上测量的风向之间的差异显着差异,如在各个风力涡轮机上测量的机舱方向所示。各种可能性可以解释这种数据,最可能是偏航控制特定风力涡轮机和/或传感器误差。这两者都使功率性能评估和唤醒分析有问题。在本文中,已经证明了在初始识别具有潜在问题的涡轮机的初始识别中呈现的动画。然后,这些异常涡轮机受到旨在区分不同潜在问题的一系列分析。

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