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METHOD AND APPARATUS FOR COOPERATIVE CONTROLLING WIND TURBINES OF A WIND FARM

机译:协同控制风电场风力涡轮机的方法和装置

摘要

The invention relates to a method for cooperative controlling wind turbines (10, 20) of a wind farm, wherein the wind farm comprises at least one pair of turbines (10, 20) aligned along a common axis approximately parallel to a current wind direction and consisting of an upstream turbine (10) and a downstream turbine (20). The method comprises the steps of: a) providing a data driven model trained with a machine learning method and stored in a database (51), the data driven model providing a correlation between time series data obtained from the pair of turbines (10, 20) in parallel, the time series data being aligned in time to the same wind front and a ratio of the current power production of the upstream and the downstream turbine (20) related to the aligned time series data; b) determining a decision parameter for controlling at least one of the upstream turbine (10) and the downstream turbine (20) by feeding the data driven model with the current power production of the upstream turbine (10) which returns a prediction value indicating whether the downstream turbine (20) will be affected by wake, and/or the temporal evolvement of the current power production of the upstream turbine (10) which returns a prediction of the probable development of the future power production of the downstream turbine (20); c) based on the decision parameter, determining control parameters for the upstream turbine (10) and/or the downstream turbine (20).
机译:本发明涉及一种用于协同控制风电场的风力涡轮机(10、20)的方法,其中,所述风力发电场包括沿着大致平行于当前风向的公共轴线对准的至少一对涡轮机(10、20),并且由上游涡轮机(10)和下游涡轮机(20)组成。该方法包括以下步骤:a)提供用机器学习方法训练并存储在数据库中的数据驱动模型(51),该数据驱动模型提供从一对涡轮机(10、20)获得的时间序列数据之间的相关性。 )并行地,时间序列数据在时间上对准相同的风前,并且与对准的时间序列数据有关的上游和下游涡轮机(20)的当前发电量的比率; b)通过向数据驱动模型馈送上游涡轮机(10)的当前发电量来确定用于控制上游涡轮机(10)和下游涡轮机(20)中的至少一个的决策参数,该预测参数返回指示是否是否下游涡轮机(20)将受到尾流和/或上游涡轮机(10)当前发电量的时间演变的影响,这将返回对下游涡轮机(20)未来发电量可能发展的预测; c)基于决策参数,确定用于上游涡轮机(10)和/或下游涡轮机(20)的控制参数。

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