A system and method are provided for controlling a wind turbine to protect the wind turbine from anomalous operations. Accordingly, in response to receiving data indicative of an anomalous operational event of the wind turbine, the controller initiates an enhanced braking mode for the wind turbine. The enhanced braking mode is characterized by operating the generator at a torque setpoint that generates maximum available torque for a given set of operating conditions. Additionally, the torque setpoint is in excess of a nominal torque limit for the generator.

A method of cooling a wind turbine. A cooling system is operated with a first setpoint temperature to cool the wind turbine over a first period. The method comprises measuring a temperature of the wind turbine over the first period to obtain temperature measurements; allocating each of the temperature measurements to a temperature range, wherein one or more of the temperature ranges are critical temperature ranges; and for each critical temperature range, comparing a parameter indicative of a number of the temperature measurements allocated to the critical temperature range with a threshold; selecting a second setpoint temperature on the basis of the comparison(s); and operating the cooling system with the second setpoint temperature over a second period. An equivalent method is also disclosed in which a power setting of the wind turbine is changed on the basis of the comparison(s).

The disclosure discloses a multi-time-scale reliability evaluation method of a wind power IGBT considering fatigue damage and a system thereof. Lifetime information of a power device is comprehensively extracted by using multiple time scales. An electro-thermal coupling model of an IGBT module is established to obtain a junction temperature data. A steady-state junction temperature database of the IGBT in different aging states is established. Based on a SCADA monitoring data, the junction temperature data is outputted in real-time through the electro-thermal coupling model and a real-time thermal stress cycle number is calculated in a short-term time-scale profile, and a wind speed probability distribution curve is obtained in a long-term time-scale profile. A maximum thermal stress cycle number that the IGBT can withstand in different aging stages is obtained in advance and a cumulative damage degree and an estimated lifetime of the IGBT of the wind power converter are calculated.

A method for determining control parameters of a turbine by consideration of component-relevant temperature limits is provided. The method considers the impact of individual turbine manufacturing tolerances on the turbine performance in a turbine model to determine control parameters for the turbine without damaging it. The method includes the steps of: receiving, by an interface, one or more measurement values of turbine sensors; determining, by a processing unit, at components or turbine places being equipped or not with turbine sensors, one or more virtual parameters and/or temperatures by a simulation of the operation of the turbine, the simulation being made with a given turbine model in which the one or more measurement values and one or more characteristic values of the wind turbine are used as input parameters; and deriving, by the processing unit, the control parameters for the wind turbine from the one or more virtual parameters and/or temperatures.

The present disclosure relates to methods for determining a maximum power setpoint for a wind turbine comprising determining a temperature of one or more wind turbine components, and determining one or more component temperature errors by determining a difference between the temperatures of the wind turbine components and a corresponding threshold temperature for the components. The methods further comprise determining a present power output of the wind turbine and determining the maximum power setpoint at least partially based at least on the component temperature errors, and on a present power output of the wind turbine. The present disclosure further relates to methods for determining a setpoint reduction and to wind turbine control systems and wind turbines configured for such methods.

The present disclosure relates to methods for determining a maximum power setpoint for a wind turbine comprising: determining an ambient temperature, determining a temperature of one or more wind turbine components and determining a current power output of the wind turbine. The methods further comprise determining the maximum power setpoint based at least partially on a thermodynamic model of the wind turbine components, the ambient temperature, the temperature of the components of the wind turbine and on the present power output of the wind turbine. The present disclosure further relates to methods for determining a setpoint reduction and to wind turbine control systems and wind turbines configured for such methods.

A method 300 of controlling a wind turbine generator is disclosed. The method comprises operating 302 the wind turbine in accordance with a power curve having a knee region and monitoring 304 a temperature of at least one thermal hotspot of the wind turbine generator. The method further comprises initiating 306 a power boost to temporarily increase an active power generated by the wind turbine generator above a rated power when the wind turbine generator enters the knee region of the power curve and controlling 312 at least one of a magnitude and a duration of the power boost in dependence on the temperature of the at least one thermal hotspot of the wind turbine generator.

A method 300 of controlling a wind turbine generator is disclosed. The method comprises operating 302 the wind turbine in accordance with a power curve having a knee region and monitoring 304 a temperature of at least one thermal hotspot of the wind turbine generator. The method further comprises initiating 306 a power boost to temporarily increase an active power generated by the wind turbine generator above a rated power when the wind turbine generator enters the knee region of the power curve and controlling 312 at least one of a magnitude and a duration of the power boost in dependence on the temperature of the at least one thermal hotspot of the wind turbine generator.

A method is provided for braking a rotor of a wind turbine. The rotor comprises rotor blades. The wind turbine comprises a pitch adjustment system for adjusting a pitch of the rotor blades. The method comprises detecting a system failure of the pitch adjustment system, estimating a current wind speed, estimating an available brake torque and estimating a required brake torque, based on the estimated current wind speed. The method further comprises determining a suitable point in time for activating a rotor brake, based on the estimated available brake torque and the estimated required brake torque. The rotor brake is then activated at the determined suitable point in time.

The disclosure discloses a multi-time-scale reliability evaluation method of a wind power IGBT considering fatigue damage and a system thereof. Lifetime information of a power device is comprehensively extracted by using multiple time scales. An electro-thermal coupling model of an IGBT module is established to obtain a junction temperature data. A steady-state junction temperature database of the IGBT in different aging states is established. Based on a SCADA monitoring data, the junction temperature data is outputted in real-time through the electro-thermal coupling model and a real-time thermal stress cycle number is calculated in a short-term time-scale profile, and a wind speed probability distribution curve is obtained in a long-term time-scale profile. A maximum thermal stress cycle number that the IGBT can withstand in different aging stages is obtained in advance and a cumulative damage degree and an estimated lifetime of the IGBT of the wind power converter are calculated.