Aspects of the present invention relate to controlling a renewable energy power plant comprising a plurality of wind turbine generators (WTG)s and an energy storage system (ESS). A method includes: controlling the plurality of WTGs to stop generating power, and thereby to enter a non-exporting mode of operation of the renewable energy power plant, during which one or more auxiliary systems of the renewable energy power plant are powered to maintain at least one of the plurality of WTGs in a standby state, operable to start generating power upon demand; wherein the one or more auxiliary systems are powered during the non-exporting mode of operation.

A method of mitigating a vibration of a wind turbine not receiving power from to a utility grid includes: receiving power from an energy storage system of the wind turbine; utilizing the power received from the energy storage system: to detect a wind direction and to adjust an orientation of the rotor axis of a rotor shaft, if a criterion is satisfied taking into account at least the relative orientation of the rotor axis and the detected wind direction and/or taking into account a level of the vibration.

A method for controlling a wind turbine connected to an electrical grid includes receiving, via a controller, a state estimate of the wind turbine. The method also includes determining, via the controller, a current condition of the wind turbine using, at least, the state estimate, the current condition defining a set of condition parameters of the wind turbine. Further, the method includes receiving, via the controller, a control function from a supervisory controller, the control function defining a relationship of the set of condition parameters with at least one operational parameter of the wind turbine. Moreover, the method includes dynamically controlling, via the controller, the wind turbine based on the current condition and the control function for multiple dynamic control intervals.

The present invention teaches a vertical axis wind turbine including a base structure; a yaw system secured to the base structure; a rotatable turbine main body secured to the yaw system, a main shaft rotor including a plurality of vertical rotor blades secured to the main shaft rotor for the collection of wind energy located within the turbine main body, and an electrical control system to control the yaw system. The turbine main body includes a single spiral stator having a single vertically aligned opening. The yaw system rotates the rotatable turbine main body to align or not align the single vertically aligned opening with the wind.

A method and an apparatus for controlling noise of a wind turbine. The method includes: determining a noise-influencing sector of the wind turbine based on a position of the wind turbine and a position of a noise-influencing site; acquiring a current wind direction; determining whether the wind turbine under the current wind direction operates in the noise-influencing sector; and limiting output power of the wind turbine, and increasing, after the wind turbine goes out from the noise-influencing sector and the output power reaches a rated power, the output power, in a case that the determination is positive.

In a vertical rotor apparatus that rotates in response to a moving fluid, a shaft defines an axis of rotor rotation. Rotor blades are longitudinally aligned in parallel with the shaft and each rotor blade defines an axis of blade rotation. A sensor generates a signal when any of the rotor blades are within rotor azimuthal angles of blade stall regions. A controller generates blade pitch information for the blade stall regions and an actuator, which is mechanically coupled to each of the rotor blades, alters blade pitch about the axis of blade rotation in accordance with the blade pitch information.

A method for ascertaining a wind direction at a wind power installation having a rotor on which at least one rotor blade is arranged. The method includes measuring first wind speeds in a predefined first measuring direction and second wind speeds in a predefined second measuring direction different from the first measuring direction in each case with a measuring frequency at a measuring point for a measuring period, wherein the measuring period is defined by a rotational distance of the rotor or by a prespecified time, wherein the rotor blade or one of the rotor blades passes the measuring point in the measuring period, and determining a wind direction by vectorial evaluation of the first wind speeds and of the second wind speeds.

A sensor system for a floating wind turbine is provided. The sensor system includes a wind sensor configured to provide a wind sensor signal indicative of a wind flow; and a processing unit configured to receive the wind sensor signal and to determine, based on the wind sensor signal, information indicative of a spatial arrangement of a floating base of the floating wind turbine relative to an environment of the floating wind turbine. Furthermore, a corresponding floating wind turbine and method of operating a floating wind turbine are provided.

A computer-implemented reinforcement learning method includes determining, based on a target probability of satisfaction of a constraint condition related to a state of a control object and a specific time within which a controller causes the state of the control object not satisfying the constraint condition to be the state of the control object satisfying the constraint condition, a parameter of a reinforcement learner that causes, in a specific probability, the state of the control object to satisfy the constraint condition at a first timing following a second timing at which the state of control object satisfies the constraint condition; and determining a control input to the control object by either the reinforcement learner or the controller, based on whether the state of the control object satisfies the constraint condition at a specific timing.

Systems and methods of autonomous farm-level control and optimization of wind turbines are provided. Exemplary embodiments comprise a site controller running on a site server. The site controller collects and analyzes yaw control data of a plurality of wind turbines and wind direction data relating to the plurality of wind turbines. The site server determines collective wind direction across an area occupied by the plurality of wind turbines and sends yaw control signals including desired nacelle yaw position instructions to the plurality of wind turbines. The site controller performs wake modeling analysis and determines desired nacelle positions of one or more of the plurality of wind turbines. The desired nacelle yaw position instructions systematically correct static yaw misalignment for all of the plurality of wind turbines. Embodiments of the disclosure provide means to perform whole site or partial site level controls of the yaw controllers of a utility scale wind turbine farm. The overall effect of the coordinated yaw control of wind turbines across the whole or partial site is intended to keep the wake loss of the wind turbines from the upstream wind turbines to the minimum and to maximize the production of turbines that are not waking other turbines.