Abstract: A wind power generation system includes one or both of a memory or storage device storing one or more processor-executable executable routines, and one or more processors configured to execute the one or more executable routines which, when executed, cause acts to be performed. The acts include receiving weather data, wind turbine system data, or a combination thereof; transforming the weather data, the wind turbine system data, or the combination thereof, into a data subset, wherein the data subset comprises a first time period data; selecting one or more wind power system models from a plurality of models; transforming the one or more wind power system models into one or more trained models at least partially based on the data subset; and executing the one or more trained models to derive a forecast, wherein the forecast comprises a predicted electrical power production for the wind power system.

Abstract: A method is provided. The method includes identifying a dispatch interval for dispatching power from a wind farm, determining an observation time interval and a control time interval in the dispatch interval, computing a farm power moving average of the power of the wind farm, computing a grid frequency moving average of a grid frequency, determining a farm power set point based on a predefined wind farm operating model using the farm power moving average and the grid frequency moving average, controlling one or more wind turbines in the wind farm during the control time interval based on the farm power set point to regulate a farm-level dispatch power.

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 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 system for automatic generation control in a wind farm is provided. The system includes a wind farm controller for controlling the plurality of energy storage elements. The wind farm controller receives an automatic generation control set point from an independent system operator, generates a farm-level storage power set point for the wind farm based on the automatic generation control set point, generates individual storage power set points for the plurality of energy storage elements based on states of charge of the respective energy storage elements, and controls the plurality of energy storage elements based on the individual storage power set points for dispatching storage power to perform automatic generation control.

Abstract: A method for controlling a wind farm including a plurality of wind turbines is provided. The method includes computing an error between a farm-level base point power and a measured wind farm power, generating an aggregated farm-level active power set point for the wind farm based on the error and a frequency response set point, generating aggregated turbine-level active power set points based on the aggregated farm-level active power set point, transmitting the aggregated turbine-level active power set points, determining aero power set points and storage power set points for the respective wind turbines and energy storage elements of the respective wind turbines from the aggregated turbine-level active power set points, and controlling the plurality of wind turbines for delivering aero power based on the respective aero power set points and controlling the energy storage elements to provide storage power based on the respective storage power set points.