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    Siemens Gamesa Renewable Energy Submits Patent Application for Wind Turbine Yaw Offset Control Based on Reinforcement Learning


    May 24, 2022 - Energy Patent News

     

      Munich, May 24 -- Siemens Gamesa Renewable Energy has submitted a patent application for wind turbine yaw offset control based on reinforcement learning. Gollnick Bert developed the invention.

      The patent application number is EP20200754686 20200803. The patent publication number is EP3997335 (A1). International Patent Classification codes are F03D7/02, F03D7/04 and G05B13/02. Cooperative Patent Classification codes are F03D7/0204 (EP), F03D7/046 (EP), F03D7/048 (EP), G05B13/027 (EP), F05B2270/20 (EP), F05B2270/204 (EP), F05B2270/404 (EP), F05B2270/709 (EP), G05B2219/2619 (EP) and Y02E10/72 (EP).

      European Patent Office has released the abstract. According to the abstract, "Methods, systems, and devices for controlling a yaw offset of an upstream wind turbine based on reinforcement learning are disclosed. The method comprises receiving data indicative of a current state of the first wind turbine and of a current state of a second wind turbine adjacent to the first wind turbine downstream along a wind direction, determining one or more controlling actions associated with the yaw offset of the first wind turbine based on the current state of the first wind turbine, the current state of the second wind turbine, and a reinforcement learning algorithm, and applying the determined one or more controlling actions to the first wind turbine."

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