A hybrid power system (100) comprising a wind turbine (102) having a wind turbine generator and a power converter, and one or more DC power sources (104). The hybrid power system is configured to prioritize active power output over reactive power capability when the wind turbine is not operating, and is further configured to prioritize reactive power capability over active power output when the wind turbine is operating and wind speed is above a predetermined threshold. Methods for operating a hybrid power system are also provided.

Embodiments herein describe validating an emergency stop signal before activating a brake within a wind turbine. The emergency stop signal is received from a control node of a plurality of control nodes distributed throughout the wind turbine, and the emergency stop signal indicates that the wind turbine should be shut down. The wind turbine is shut down by transmitting a shutdown signal to the plurality of control nodes. Upon determining there is no indication a person is present within the wind turbine, the emergency stop signal is validated. Additionally, upon determining the emergency stop signal is valid, a brake within the wind turbine is activated to bring the rotor to a stop.

A method and device for controlling output power in a primary frequency modulation process of a wind turbine are provided by the present disclosure. The method includes predicting a rotational speed of the wind turbine; determining frequency modulation remaining time based on the predicted rotational speed, the frequency modulation remaining time being time for which the wind turbine is able to continue to output frequency modulation power as the output power used for the primary frequency modulation without affecting a recovery of the wind turbine after the primary frequency modulation; controlling the output power based on the determined frequency modulation remaining time.

A method for feeding electric power into an electric supply network using a wind park having wind power installations is provided. An expected power is determined for a predetermined feed-in period, where the expected power indicates a power value or temporal profile of power expected to be available to the park as power from wind in the predetermined feed-in period. An expected accuracy is determined and is a measure of how accurately the power reaches the expected power in the feed-in period. To determine the expected power, at least one expected wind variable representative of the expected wind speed is determined using a weather forecast, and the expected wind variable is additionally determined or verified, proceeding from the weather forecast, using a correction rule based on local weather data and/or operating data of the park. The expected power is determined on the basis of the expected wind variable.

A system for generating power includes an environmental engine that determines performance metrics for a plurality of wind turbines deployed at a plurality of windfarms, such that each windfarm includes a corresponding subset of the plurality of windfarms. The performance metrics for a given wind turbine of the plurality of wind turbines characterizes wind flowing over blades of the given wind turbine. The system includes an artificial intelligence (AI) ensemble engine operating on the one or more computing devices that generates a set of models for each wind turbine of the plurality of wind turbines, wherein each model of each set of models is generated with a different machine learning algorithm and selects, for each respective set of models, a model with a highest efficiency metric. The AI engine provides edge computing systems operating at the plurality of windfarms with a selected model and corresponding recommended operating parameters.

A method of controlling a wind power plant for generating electrical power from wind is provided. The plant comprises a rotor having rotor blades with adjustable blade angles and the rotor can be operated at a variable rotational speed. The method includes controlling the plant in a partial load mode when wind speed is below a nominal speed and, controlling the plant in a storm mode when the wind speed is above a storm commencement speed. An output power of the plant in the partial load mode and storm mode is adjusted according to an operating characteristic curve that determines a relationship between the rotational speed and the output power. A partial load characteristic curve is used as the operating characteristic curve for controlling the power plant in partial load mode, and a storm mode characteristic curve is used as the operating characteristic curve for controlling the plant in storm mode.

Provided is a method for feeding electrical power into an electrical supply network comprising a plurality of consumers for consuming power and a plurality of infeed apparatuses for feeding power. An infeed apparatus is a converter or conventional infeed apparatus and has a rated power. A converter infeed apparatus feeds power using a frequency converter or inverter, and a conventional infeed apparatus denotes all other infeed apparatuses. The infeed is controlled depending on a static converter penetration and a dynamic converter penetration of the network or a section thereof. The static converter penetration denotes a ratio of a sum of rated powers of all converter infeed apparatuses connected to the network or section to a sum of rated powers of all infeed apparatuses, and the dynamic converter penetration denotes a ratio of power fed in by all converter infeed apparatuses to power fed in by all infeed apparatuses.

According to the disclosure, an artificial intelligence (AI) model receives a power production amount, a power production efficiency, a control variable and the like states as input information through information exchange between a wind turbine and the AI model, and therefore it is possible to provide a control method using the AI model with regard to even the wind turbine given no power coefficient.

It is described a method of estimating additional power output for inertial response that will be available for output throughout a preset inertial response time interval, the method including: obtaining current values of at least a rotational speed of a wind turbine rotor and a power output of the wind turbine; deriving the additional power output based on the obtained current values and a remaining time interval of the preset inertial response time interval, in particular such that the additional power is available for output during the entire predetermined time interval.

Provided is a method of controlling a wind turbine or a wind park including at least one wind turbine connected to a utility grid for utility grid support, the method including: receiving a control command from a utility grid manager, and selectively controlling the wind turbine according to the control command.