A system for adjusting environmental operating conditions associated with heat generating components located within a tower of a wind turbine may include a heat generating component located within an interior of the tower, a sensor configured to monitor a heat exchange parameter associated with the wind turbine and a split heat exchange system provided relative to the tower. The split heat exchange system may include a first heat exchanger located within the interior of the tower and a second heat exchanger located exterior to the tower. The system may also include a controller communicatively coupled to the sensor and the split heat exchange system. The controller may be configured to control the operation of the split heat exchange system based at least in part on the monitored heat exchange parameter to adjust an environmental operating condition associated with the heat generating component.

A method for compensating the output power of wind turbine generator set includes acquiring the average values of the first ambient temperature of environments where the wind turbine generator set is located in various periods; collecting the output power of the wind turbine generator set at the end time of various periods; compensating the set output power collected at the end time of current period according to difference value between the average value of the first ambient temperature in the current period and that in the previous period so as to guarantee the stability of the set output power if the average value of the first ambient temperature in the current period and the average value of the first ambient temperature in the previous period both are higher than a preset temperature threshold value.

A method is disclosed for controlling a wind turbine generator to provide power above a rated level. The wind turbine includes one or more electrical components that conduct current from the internal generator to supply the external grid. The control method calculates the maximum current that the electrical components can carry at the ambient temperature. The calculated current is combined with a measurement of the voltage and an estimate of reactive power in the system to give a maximum power at which the wind turbine can operate without the maximum allowable current being exceeded for the electrical components. The electrical components may be housed in the main electrical panel of the wind turbine.

The invention relates to monitoring a wind turbine having an electrical component. An exterior temperature and power loss associated with the electrical component is obtained, and a thermal model describing the electrical component is executed, based on the exterior temperature and power loss, to determine an internal temperature of the electrical component. A further thermal model describing the electrical component is executed, based on the internal temperature and an exterior component temperature, to predict a future thermal condition of the electrical component in order to monitor operation of the wind turbine.

A method for controlling heating of rotor blades of an aerodynamic rotor of a wind turbine, wherein, the heating of the rotor blades is initiated, if icing of the rotor blades is expected, wherein according to an icing criteria, if icing is expected is evaluated depending on a determined ambient temperature, a determined relative humidity, and a determined wind speed, each defining a determined weather parameter, and further according to the icing criteria, if icing is expected is evaluated depending on a temporal change of at least one of these weather parameters and/or of at least one other weather parameter.

A method of parameterizing a controller of a first wind energy installation wherein the controller sets a manipulated variable of the wind energy installation as a function of an input variable. An artificial intelligence determines at least one value of a parameter of the controller for at least one state/degree of being iced up of the wind energy installation based on a power curve, load, and/or downstream flow of the wind energy installation predicted with a mathematical model of the wind energy installation for at least one state/degree of being iced up, and/or determines at least one value of a parameter of the controller for at least one state/degree of being iced up of the wind energy installation, based on at least one determined state/degree of being iced up and a power, load, and/or downstream flow of the wind energy installation and/or at least one second wind energy installation.

A wind turbine is disclosed which comprises a control system configured to execute at least one ice removal routine which comprises a heating stage of at least one of the blades (3), and a mechanical removal ice stage. A wind turbine removing ice method is also disclosed which comprises a stage wherein the presence of ice is detected on at least one of the blades and, once said presence of ice is detected, comprises a stage wherein at least one ice removal routine is activated which comprises, in turn, a heating stage of at least one of the blades and a mechanical removing ice stage on at least said blade.

A method for optimizing the operation of a wind turbine having a rotor with at least one rotor blade, a tower, and a wind turbine controller, comprises determining a first load status of the wind turbine based on metereological data acquired by sensors, including a turbulence intensity; determining a second load status of the wind turbine based on mechanical loads on at least one wind turbine component; and increasing a load of the wind turbine, if the determined first and second load status of the turbine are within selectable load limits. A wind turbine implementing the method is also disclosed.

The present invention concerns a method of operating a wind power installation comprising a pod with an electric generator for generating electric current and an aerodynamic rotor coupled to the generator and having one or more rotor blades, including the steps: operating the wind power installation when ice accretion on the rotor blades can be certainly excluded, and stopping the wind power installation when ice accretion on the rotor blades is detected, and time-delayed stoppage or prevention of restarting of the wind power installation when an ice accretion was not detected but is to be expected, and/or time-delayed resumption of operation of the wind power installation when a stoppage condition which led to stoppage of the wind power installation has disappeared again and ice accretion was not detected and ice accretion or the formation of an ice accretion is not to be expected.

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.