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US Patent 11649804 Systems and methods for controlling a wind turbine

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
116498040
Patent Inventor Names
Scott Charles Evans0
Arunvenkataraman Subramanian0
Dhiraj Arora0
Samuel Bryan Shartzer0
Samuel Davoust0
Date of Patent
May 16, 2023
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Patent Application Number
173403870
Date Filed
June 7, 2021
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Patent Citations
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US Patent 10247170 System and method for controlling a dynamic system
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US Patent 8853877 System and method for controlling a wind farm
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US Patent 10041475 Reducing curtailment of wind power generation
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US Patent 10132295 Digital system and method for managing a wind farm having plurality of wind turbines coupled to power grid
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US Patent 10241170 System and method for magnetic resonance image acquisition
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US Patent 10288037 Method for controlling a rotational speed threshold of a wind turbine, and a corresponding wind turbine
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US Patent 10360500 Two-phase distributed neural network training system
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US Patent 10393093 System and method for assessing the performance impact of wind turbine upgrades
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...
Patent Citations Received
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US Patent 12066011 Wake monitoring, wake management and sensory arrangements to such
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Patent Primary Examiner
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Tulsidas C Patel
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CPC Code
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F05B 2270/325
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F05B 2270/327
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F05B 2270/328
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F05B 2270/404
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F05B 2270/803
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F03D 7/045
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F03D 7/046
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F03D 9/257
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...

A system and method are provided for controlling a wind turbine of a wind farm. Accordingly, a controller implements a first model to determine a modeled performance parameter for the first wind turbine. The modeled performance parameter is based, at least in part, on an operation of a designated grouping of wind turbines of the plurality of wind turbines, which is exclusive of the first wind turbine. The controller then determines a performance parameter differential for the first wind turbine at multiple sampling intervals. The performance parameter differential is indicative of a difference between the modeled performance parameter and a monitored performance parameter for the first wind turbine. A second model is implemented to determine a predicted performance parameter of the first wind turbine at each of a plurality of setpoint combinations based, at least in part, on the performance parameter differential the first wind turbine. A setpoint combination is then selected based on the predicted performance parameter and an operating state of the first wind turbine is changed based on the setpoint combination.

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