There is presented a method (320) for controlling a wind turbine (100), wherein said wind turbine comprises a wind turbine rotor (102) with one or more blades (103), wherein the wind turbine has a rated angular rotation speed (214) of the wind turbine rotor, said method comprising obtaining (322) information (323) on ambient conditions, determining, based on said information, if an erosion criterion is fulfilled, controlling (328) the wind turbine according to an extended mode if the erosion criterion is fulfilled, wherein in the extended mode an angular rotation speed of the wind turbine rotor is allowed to exceed the rated angular rotation speed (214).

Temperature Control Based on Weather Forecasting Examples are generally directed to techniques for controlling a temperature of a blade, such as a blade in a wind turbine system. One example of the present disclosure is a method of controlling a temperature of a blade. The method includes inputting current weather conditions and future weather conditions into a processor, generating a first power production, generating a second power production curve based on future weather conditions, comparing the first power production curve to the second power production curve, determining which power production curve minimizes a new power production loss of the blade, and adjusting a heating cycle of the blade based on the power production curve that minimizes the net power productions loss of the blade.

A method to determine a dry-out period of a converter of a wind turbine is provided. A time dependent chronology of data is measured in the converter. The measured data-chronology reflects the actual humidity and the humidity-history in the converter cabinet. The measured data-chronology is used to determine a dry-out period of time, which is needed to reduce the humidity inside the converter below a given value by circulating heat inside the converter.

A wind turbine is having at least one rotor blade, a blade heating system for heating at least a portion of the at least one rotor blade, at least one temperature sensor for sensing the external temperature in the region, or in the environment, of the wind turbine, at least one air humidity sensor for sensing the air humidity in the region, or in the environment, of the wind turbine, and a control unit for activating the blade heating system if the temperature falls below a temperature limit value and if an air humidity limit value is exceeded, the temperature limit value being +5 C. and the air humidity limit value being 70%.

A method for operating a plurality of wind energy installations configured for supplying electric power to an electrical supply system, that each have an aerodynamic rotor with rotor blades and an electrical generator and also operating equipment, is disclosed. The wind energy installations are operated while they are not connected to the electrical supply system, where at least one of the wind energy installations produces electric power and inputs the electric power into a local DC voltage system that connects the wind energy installations if the at least one of the wind energy installations currently produces more power than needed for supplying its own operating equipment. Additionally or alternatively, the operating equipment is supplied totally or in part with power from the local DC voltage system if the at least one of the wind energy installations currently produces less power than needed for supplying its operating equipment.

A method for operating a wind turbine to avoid stall during derating thereof includes providing an initial pitch setting for one or more rotor blades of the wind turbine. Further, the method includes operating the wind turbine based on a rated power curve with the one or more rotor blades fixed at the initial pitch setting. Further, the method includes identifying at least one condition of the wind turbine that is indicative of stall. The method also includes derating the wind turbine. Further, the method includes modifying the initial pitch setting to an updated pitch setting when the at least one condition is identified.

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 for optimizing performance of a wind farm having at least one wind turbine includes maneuvering a first unmanned aerial vehicle (UAV) having at least one sensor to a first location near the at least one wind turbine of the wind farm; collecting, via the at least one sensor of the first UAV, data corresponding to one or more wind conditions at the at least one wind turbine; receiving the data corresponding to the one or more wind conditions at the at least one wind turbine via a controller; generating a control action for the at least one wind turbine using the data corresponding to the one or more wind condition at the at least one wind turbine; and implementing, via the controller, the control action.

A method for controlling a windfarm having a plurality of wind power installations and feeding into an electrical supply network at a network connection point is provided. The method includes inputting at least one control error at a control error input of a windfarm control module, generating at least one manipulated variable depending on the at least one control error using at least one controller, and outputting the at least one manipulated variable at a manipulated variable output for transmission to the wind power installations. The method includes recording in each case at least one state of the windfarm, the windpower installations thereof and/or an ambient condition as form state at a state input of the control module, and altering or predefining at least one property of the at least one controller depending on the at least one recorded form state by means of a controller setting device.

The present invention relates to a method and controller for heating a wind turbine blade that comprises a plurality of heating zones. An icing factor is determined based on environmental conditions and one or more heating zones are determined based on the determined icing factor, wherein each heating zone comprises one or more Electro-Thermal Heating Elements. The one or more Electro-Thermal Heating Elements corresponding to the determined heating zones are activated to generate heat.