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DOE OSTI · 1769813

Develop Wake Mitigation Strategy (CRADA CRD-17-00693 Final Report)

Fleming, Paul
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Abstract

Wind turbines in a wind farm typically operate individually to maximize their own performance and do not take into account information from nearby turbines. In an autonomous wind farm, enabling cooperation to achieve farm-level objectives, turbines will need to use information from nearby turbines to optimize performance, ensure resiliency when other sensors fail, and adapt to changing local conditions. A key element of achieving an autonomous wind farm is to develop algorithms that provide necessary information to ensure reliable, robust, and efficient operation of wind turbines in a wind plant using local sensor information that is already being collected, such as supervisory control and data acquisition (SCADA) data, local meteorological stations, and nearby radars/sodars/lidars. In this work consensus control is applied in a hybrid analysis to data from an existing wind farm to demonstrate the benefit of consensus control.

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17 WIND ENERGYautonomous wind farmconsensus controlCRADASCADAsupervisory control and data acquisitionwind energyyaw control

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Fleming, Paul. 2021-02-24. Develop Wake Mitigation Strategy (CRADA CRD-17-00693 Final Report). https://doi.org/10.2172/1769813

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