WIND TURBINE YAW OFFSET CONTROL BASED ON REINFORCEMENT LEARNING

摘要

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.