Abstract: The present disclosure is directed to a method for detecting a mass imbalance in a rotor of a wind turbine. The method includes receiving, with a computing device, sensor data indicative of an operating characteristic of the wind turbine. The method also includes determining, with the computing device, a mean amplitude of a designated frequency component of the operating characteristic. Furthermore, the method includes determining, with the computing device, when a mass imbalance is present within the rotor based on the mean amplitude of the designated frequency component.

Abstract: A method implemented using at least one processor module includes receiving a plurality of operational parameters corresponding to a plurality of wind turbines and obtaining a plurality of source sound power values corresponding to the plurality of wind turbines. The method further includes obtaining a receptor sound pressure value corresponding to a receptor location and estimating an attenuation model based on the plurality of source sound power values, and the receptor sound pressure value. The attenuation model disclosed herein comprises a plurality of attenuation coefficients. The method also includes determining at least one turbine set-point corresponding to at least one wind turbine among the plurality of wind turbines based on the plurality of attenuation coefficients, and the plurality of turbine operational parameters.

Abstract: The present disclosure is directed to a system and method for determining wake losses of a wind farm. The wind farm includes a plurality of wind turbines. The method includes operating the wind farm in a first operational mode. Another step includes collecting turbine-level data from at least one upstream wind turbines in the wind farm during the first operational mode. The method also includes estimating a freestream farm-level power output for the wind farm during first operational mode based, at least in part, on the collected turbine-level data. A further step includes measuring an actual farm-level power output for the wind farm for the first operational mode. Thus, the method also includes determining the wake losses of the wind farm for the first operational mode as a function of the measured actual farm-level power output and the estimated freestream farm-level power output.

Abstract: The present disclosure is directed to a method for detecting a mass imbalance in a rotor of a wind turbine. The method includes receiving, with a computing device, sensor data indicative of an operating characteristic of the wind turbine. The method also includes determining, with the computing device, a mean amplitude of a designated frequency component of the operating characteristic. Furthermore, the method includes determining, with the computing device, when a mass imbalance is present within the rotor based on the mean amplitude of the designated frequency component.

Abstract: Methods and systems for optimizing operation of a wind farm are disclosed. The method includes providing a farm-level wake model for the wind farm based on historical wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Another step includes monitoring one or more real-time wake parameters for wind turbines in the wind farm. A further step includes identifying at least two interacting wind turbines from the reference sets based on the wake parameters. Another step includes determining a wake offset angle between the interacting wind turbines as a function of at least one of a wind direction, a geometry between the interacting wind turbines, or a wake meandering component. The method also includes continuously updating the wake model online based at least partially on the wake parameters and the wake offset angle and controlling the interacting wind turbines based on the updated wake model.

Abstract: A method for optimizing a hybrid wind system including a wind farm having a plurality of wind turbines and one or more energy storage units, is presented. The method includes acquiring actual wind power data associated with one or more dispatch windows. The method includes determining forecasted wind farm power estimates corresponding to the dispatch windows using a plurality of forecast schemes. The method includes computing difference values by comparing the forecasted wind farm power estimates to the actual wind power data. The method includes identifying a wind power forecast scheme based at least in part on the computed difference values and balancing a penalty to the grid with life consumption of the energy storage units while regulating the wind turbines and the energy storage units based at least in part on a subsequent forecasted wind farm power estimate generated using the identified wind power forecast scheme.

Abstract: A multi-farm wind power dispatch management system is provided which includes wind turbine dispatch controllers for controlling wind power dispatch of respective wind farm components and wind farm dispatch management systems for receiving respective wind farm component operating parameters and generating respective farm-level operating parameters. The system also includes group dispatch management systems for receiving the farm-level operating parameters and generating respective group level operating parameters.

Abstract: A system for commissioning a wind turbine is provided. The system includes a test wind turbine, one or more additional wind turbines coupled to the test wind turbine, and a control system. The control system includes a first control module for controlling the one or more additional wind turbines to act as a power source and provide power to the test wind turbine. The control system also includes a second control module for controlling the one or more additional wind turbines to act as a load for dissipating test power generated by the test wind turbine.

Abstract: A system is presented. The system includes a stator component, a rotor component rotating inside the stator component, a plurality of features disposed on the periphery of the stator component or the rotor component, and a processing subsystem for determining at least one of an amount of rotor imbalance and an orientation of the rotor imbalance at least based upon feature-to-feature speed variation of the plurality of features.

Abstract: The present disclosure is directed to a system and method for determining wake losses of a wind farm. The wind farm includes a plurality of wind turbines. The method includes operating the wind farm in a first operational mode. Another step includes collecting turbine-level data from at least one upstream wind turbines in the wind farm during the first operational mode. The method also includes estimating a freestream farm-level power output for the wind farm during first operational mode based, at least in part, on the collected turbine-level data. A further step includes measuring an actual farm-level power output for the wind farm for the first operational mode. Thus, the method also includes determining the wake losses of the wind farm for the first operational mode as a function of the measured actual farm-level power output and the estimated freestream farm-level power output.

Abstract: Embodiments of methods and systems for optimizing operation of a wind farm are presented. The method includes receiving new values corresponding to at least some wake parameters for wind turbines in the wind farm. The method further includes identifying new sets of interacting wind turbines from the wind turbines based on the new values. Additionally, the method includes developing a farm-level predictive wake model for the new sets of interacting wind turbines based on the new values and historical wake models determined using historical values of the wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Furthermore, the method includes adjusting one or more control settings for at least the new sets of interacting wind turbines based on the farm-level predictive wake model.

Abstract: A system is presented. The system includes a stator component, a rotor component rotating inside the stator component, a plurality of features disposed on the periphery of the stator component or the rotor component, and a processing subsystem for determining at least one of an amount of rotor imbalance and an orientation of the rotor imbalance at least based upon feature-to-feature speed variation of the plurality of features.

Abstract: Methods and systems for optimizing operation of a wind farm are disclosed. The method includes providing a farm-level wake model for the wind farm based on historical wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Another step includes monitoring one or more real-time wake parameters for wind turbines in the wind farm. A further step includes identifying at least two interacting wind turbines from the reference sets based on the wake parameters. Another step includes determining a wake offset angle between the interacting wind turbines as a function of at least one of a wind direction, a geometry between the interacting wind turbines, or a wake meandering component. The method also includes continuously updating the wake model online based at least partially on the wake parameters and the wake offset angle and controlling the interacting wind turbines based on the updated wake model.

Abstract: A multi-farm wind power dispatch management system is provided which includes wind turbine dispatch controllers for controlling wind power dispatch of respective wind farm components and wind farm dispatch management systems for receiving respective wind farm component operating parameters and generating respective farm-level operating parameters. The system also includes group dispatch management systems for receiving the farm-level operating parameters and generating respective group level operating parameters.

Abstract: A method implemented using at least one processor module includes receiving a plurality of operational parameters corresponding to a plurality of wind turbines and obtaining a plurality of source sound power values corresponding to the plurality of wind turbines. The method further includes obtaining a receptor sound pressure value corresponding to a receptor location and estimating an attenuation model based on the plurality of source sound power values, and the receptor sound pressure value. The attenuation model disclosed herein comprises a plurality of attenuation coefficients. The method also includes determining at least one turbine set-point corresponding to at least one wind turbine among the plurality of wind turbines based on the plurality of attenuation coefficients, and the plurality of turbine operational parameters.

Abstract: A method for optimizing a hybrid wind system including a wind farm having a plurality of wind turbines and one or more energy storage units, is presented. The method includes acquiring actual wind power data associated with one or more dispatch windows. The method includes determining forecasted wind farm power estimates corresponding to the dispatch windows using a plurality of forecast schemes. The method includes computing difference values by comparing the forecasted wind farm power estimates to the actual wind power data. The method includes identifying a wind power forecast scheme based at least in part on the computed difference values and balancing a penalty to the grid with life consumption of the energy storage units while regulating the wind turbines and the energy storage units based at least in part on a subsequent forecasted wind farm power estimate generated using the identified wind power forecast scheme.

Abstract: Embodiments of methods and systems for optimizing operation of a wind farm are presented. The method includes receiving new values corresponding to at least some wake parameters for wind turbines in the wind farm. The method further includes identifying new sets of interacting wind turbines from the wind turbines based on the new values. Additionally, the method includes developing a farm-level predictive wake model for the new sets of interacting wind turbines based on the new values and historical wake models determined using historical values of the wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Furthermore, the method includes adjusting one or more control settings for at least the new sets of interacting wind turbines based on the farm-level predictive wake model.

Abstract: A system for commissioning a wind turbine is provided. The system includes a test wind turbine, one or more additional wind turbines coupled to the test wind turbine, and a control system. The control system includes a first control module for controlling the one or more additional wind turbines to act as a power source and provide power to the test wind turbine. The control system also includes a second control module for controlling the one or more additional wind turbines to act as a load for dissipating test power generated by the test wind turbine.