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Systems and methods for controlling a wind turbine are disclosed. The method includes: measuring a loading condition acting on the wind turbine; determining a first scaler factor based on the measured loading condition; determining a correction parameter for the wind turbine, the correction paramete

Systems and methods for controlling a wind turbine are disclosed. The method includes: measuring a loading condition acting on the wind turbine; determining a first scaler factor based on the measured loading condition; determining a correction parameter for the wind turbine, the correction parameter a function of at least two measured operating conditions and representative of a real-time operational state of the wind turbine; determining a second scaler factor based on the correction parameter; calculating an adjustment set point based on the first scaler factor and the second scaler factor; and, controlling the wind turbine based on the adjustment set point.

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1. A method for controlling a wind turbine, the method comprising: measuring a loading condition acting on the wind turbine;determining a first scaler factor based on the measured loading condition;determining a correction parameter for the wind turbine, the correction parameter a function of at lea

1. A method for controlling a wind turbine, the method comprising: measuring a loading condition acting on the wind turbine;determining a first scaler factor based on the measured loading condition;determining a correction parameter for the wind turbine, the correction parameter a function of at least two measured operating conditions and representative of a real-time operational state of the wind turbine;determining a second scaler factor based on the correction parameter;calculating an adjustment set point for the wind turbine by multiplying the first scaler factor by the second scaler factor; and,controlling the wind turbine based on the adjustment set point. 2. The method as in claim 1, wherein measuring a loading condition acting on the wind turbine comprises the use of one or more sensors, wherein the one or more sensors comprise one of or a combination of a MIMU sensor, a strain gauge, an accelerometer, a proximity sensor, a pressure sensor, an angle of attack sensor, a vibration sensor, a LIDAR sensor, a camera system, or a fiber optic system. 3. The method as in claim 1, wherein the loading condition reflects a loading acting on one of or a combination of a rotor blade, a rotor, a hub, a bed plate, a main frame, a generator frame, a pitch bearing, a yaw bearing, a gearbox, a nacelle, a main shaft, a generator, or a tower of the wind turbine. 4. The method as in claim 1, Wherein determining the first scaler factor further comprises: storing a plurality of loading conditions over a period of time;calculating one of a standard deviation, a weighted average, or a lag filter of the plurality of loading conditions; and,determining the first scaler factor based on the calculation. 5. The method as in claim 1, wherein determining the correction parameter further comprises: measuring a plurality of operating conditions of the wind turbine;storing the plurality of operating conditions;calculating a plurality of correction parameters as a function of at least two of the stored operating conditions;calculating a weighted average of the plurality of correction parameters; and,determining a final correction parameter based on the weighted average of the plurality of correction parameters. 6. The method as in claim 1, wherein one of the at least two operational conditions of the wind turbine comprise a pitch angle. 7. The method as in claim 6, wherein the at least two operational conditions of the wind turbine comprise one of a generator torque, a generator speed, or a power output. 8. The method as in claim 1, further comprising adjusting the adjustment set point by a safety factor. 9. The method as in claim 1, wherein controlling the wind turbine further comprises: performing a corrective action, wherein the corrective action comprises one of de-rating the wind turbine or up-rating the wind turbine, wherein de-rating the wind turbine or up-rating the wind turbine comprises at least one of altering a pitch angle of a rotor blade, modifying a generator torque, modifying a generator speed, modifying a power output, yawing a nacelle of the wind turbine, braking one or more wind turbine components, or activating an airflow modifying element on a rotor blade. 10. A system for controlling a wind turbine, the system comprising: one or more sensors configured to monitor one or more loading conditions acting on the wind turbine;a processor communicatively coupled to the one or more sensors, the processor configured to:determine a first scaler factor based on the one or more loading conditions;determine an correction parameter, wherein the correction parameter is a function of at least two measured operating conditions of the wind turbine and is representative of a real-time operational state of the wind turbine;calculate a second scaler factor based on the correction parameter;determine an adjustment set point for the wind turbine by multiplying the first scaler factor by the second scaler factor; and,a controller communicatively coupled to the processor, wherein the controller controls the wind turbine based on the adjustment set point. 11. The system as in claim 10, wherein the one or more sensors comprise one of or a combination of a MIMU sensor, a strain gauge, an accelerometer, a proximity sensor, a pressure sensor, an angle of attack sensor, a vibration sensor, a LIDAR sensor, a camera system, or a fiber optic system. 12. The system as in claim 10, wherein the loading condition reflects a loading acting on one of or a combination of a rotor blade, a rotor, a hub, a bed plate, a main frame, a generator frame, a pitch bearing, a yaw bearing, a gearbox, a nacelle, a main shaft, a generator, or a tower of the wind turbine. 13. The system as in claim 10, further comprising a memory device, wherein the memory device is configured to: store a plurality of loading conditions; and,store a plurality of measured operating conditions. 14. The system as in claim 13, wherein the processor is further configured to: calculate one of a standard deviation, a weighted average, or a lag filter of the plurality of stored loading conditions; and,determine the adjustment set point based on the calculation. 15. The system as in claim 13, wherein the processor is further configured to: calculate a plurality of correction parameters as a function of at least two of the stored operating conditions;calculate a weighted average of the plurality of correction parameters; and,determine a final correction parameter based on the weighted average of the plurality of correction parameters. 16. The system as in claim 10, wherein the at least two operational conditions of the wind turbine comprise at least one of a pitch angle, a generator torque, a generator speed, or a power output. 17. The system as in claim 10, wherein the controller is further configured to perform a corrective action on the wind turbine based on the corrected set point, wherein the corrective action comprises one of de-rating the wind turbine or up-rating the wind turbine, and wherein de-rating or up-rating the wind turbine comprises at least one of altering a pitch angle of a rotor blade, modifying a generator torque, modifying a generator speed, modifying a power output, or yawing a nacelle of the wind turbine. 18. A method for optimizing a power output of a wind turbine under changing loading conditions, the method comprising: measuring at least one loading condition acting on the wind turbine;determining a first scaler factor based on the measured loading condition;monitoring a power output of the wind turbine;modifying at least one operating condition of the wind turbine so as to keep the loading condition under a design load;determining a second scaler factor based on the operating condition;calculating an adjustment set point for the wind turbine by multiplying the first scaler factor by the second scaler factor; and,incrementally increasing the power output of the wind turbine based on the adjustment set point so long as the loading condition is less than the design load. 19. The method of claim 18, wherein the operating condition of the wind turbine comprises at least one of a pitch angle, a generator torque, a generator speed, or a power output.