Abstract: A system and method are provided for controlling a wind turbine. Accordingly, a controller of the wind turbine detects a loss of traction of the slip coupling based on a difference between data indicative of a rotor operating parameter and data indicative of a generator operating parameter. The controller then determines an angle of slip corresponding to the loss of traction as a function of the difference. Based, at least partially on the angle of slip, a degradation value for the slip coupling is determined. A control action is implemented based on the degradation value.

Abstract: An automated method to determine modal characteristics of a wind turbine tower at an offshore location in a continuous manner includes reading one or more sensor data signals, prefiltering the one or more sensor data signals to divide the signals into a plurality of time segments, obtaining a frequency domain representation of each of the plurality of time segments by computing a Power Spectral Density (PSD) of each of the time segments to identify one or more frequency peaks in each of the time segments, assigning a probability to each of the frequency peaks in the PSD of each of the time segments, combining all assigned probabilities and determining the likelihood of the one or more frequency peaks. Also disclosed is an offshore wind turbine tower having a turbine control system utilizing the automated method to determine modal characteristics of the wind turbine.

Abstract: A system and method are provided for controlling a wind turbine. Accordingly, a controller of the wind turbine detects a loss of traction of the slip coupling based on a difference between data indicative of a rotor operating parameter and data indicative of a generator operating parameter. The controller then determines an angle of slip corresponding to the loss of traction as a function of the difference. Based, at least partially on the angle of slip, a degradation value for the slip coupling is determined. A control action is implemented based on the degradation value.

Abstract: A method for protecting a wind turbine from overloading during operation caused by a fault includes receiving, via a controller, a plurality of pitch signals from a plurality of pitch control mechanisms of a pitch system of the wind turbine, the pitch system configured to rotate a plurality of rotor blades mounted to a rotatable hub of a rotor of the wind turbine about respective pitch axes. Further, the method includes determining a collective pitch rate of the pitch system as a function of the plurality of pitch signals. The method also includes defining a minimum pitch rate threshold that varies with a speed parameter of the wind turbine. Moreover, the method includes receiving a first speed parameter of the wind turbine. In addition, the method includes comparing the collective pitch rate to the minimum pitch rate threshold for the first speed parameter. Thus, the method includes controlling the wind turbine based on the comparison.

Abstract: A method for protecting a wind turbine from overloading during operation caused by a fault includes receiving, via a controller, a plurality of pitch signals from a plurality of pitch control mechanisms of a pitch system of the wind turbine, the pitch system configured to rotate a plurality of rotor blades mounted to a rotatable hub of a rotor of the wind turbine about respective pitch axes. Further, the method includes determining a collective pitch rate of the pitch system as a function of the plurality of pitch signals. The method also includes defining a minimum pitch rate threshold that varies with a speed parameter of the wind turbine. Moreover, the method includes receiving a first speed parameter of the wind turbine. In addition, the method includes comparing the collective pitch rate to the minimum pitch rate threshold for the first speed parameter. Thus, the method includes controlling the wind turbine based on the comparison.

Abstract: An automated method to determine modal characteristics of a wind turbine tower at an offshore location in a continuous manner includes reading one or more sensor data signals, prefiltering the one or more sensor data signals to divide the signals into a plurality of time segments, obtaining a frequency domain representation of each of the plurality of time segments by computing a Power Spectral Density (PSD) of each of the time segments to identify one or more frequency peaks in each of the time segments, assigning a probability to each of the frequency peaks in the PSD of each of the time segments, combining all assigned probabilities and determining the likelihood of the one or more frequency peaks. Also disclosed is an offshore wind turbine tower having a turbine control system utilizing the automated method to determine modal characteristics of the wind turbine.

Abstract: A method for constrained control of a wind turbine includes receiving a plurality of operating parameters corresponding to the wind turbine. The plurality of operating parameters includes a wind preview parameter and a plurality of constraint parameters. The method further includes generating a constraint parameter estimate corresponding to a future time instant for at least one constraint parameter of the plurality of constraint parameters based on the plurality of operating parameters and a wind preview model. The method also includes predicting an extreme event corresponding to the at least one constraint parameter based on the constraint parameter estimate. The method includes determining a control parameter value corresponding to a wind turbine control parameter among a plurality of wind turbine control parameters. The method also includes operating the wind turbine using a feedforward control technique based on the control parameter value to circumvent the extreme event.

Abstract: A method for charging plurality of electric vehicles is provided. The method includes determining predicted usage information for the plurality of electric vehicles based on past information for the plurality of vehicles. The predicted usage information, among other information, includes a first total energy needed to be provided to the plurality of vehicles to reach a respective desired state of charge set point. The method further includes optimizing power to be provided to the plurality of vehicles to generate an optimal power requirement plan based on a first cost incurred to charge the vehicles with the first total energy. Furthermore, the method includes scheduling charging of the plurality of vehicles through at least one charging station according to the optimal power requirement plan and a priority associated with each of the plurality of vehicles.

Abstract: A method for charging plurality of electric vehicles is provided. The method includes determining predicted usage information for the plurality of electric vehicles based on past information for the plurality of vehicles. The predicted usage information, among other information, includes a first total energy needed to be provided to the plurality of vehicles to reach a respective desired state of charge set point. The method further includes optimizing power to be provided to the plurality of vehicles to generate an optimal power requirement plan based on a first cost incurred to charge the vehicles with the first total energy. Furthermore, the method includes scheduling charging of the plurality of vehicles through at least one charging station according to the optimal power requirement plan and a priority associated with each of the plurality of vehicles.