A system and method for managing shadow flicker at a wind turbine site having at least one wind turbine includes determining, via a processor, a sun position of the wind turbine site. The method also includes receiving, via the processor, a spatial location of the at least one wind turbine with respect to at least one receptor. Further, the method includes determining, via the processor, whether shadow flicker is occurring at the at least one receptor based, at least in part, on the sun position and the spatial location of the at least one wind turbine. Moreover, the method includes implementing, via the processor, a corrective action for the at least one wind turbine when shadow flicker occurs at the at least one receptor to reduce the shadow flicker.

The present invention is concerned with an operation of a wind farm with a plurality of wind turbines in view of a dynamic frequency response. According to the invention, dynamic frequency support and power production for all wind turbines in a wind farm are handled concurrently in a single optimization step and taking into account wake effects within the wind farm as well as optional wind forecast information. The dynamic frequency support capability of the entire wind farm is planned in advance according to grid requirements and power system condition changes. While existing methods de-load wind turbines with a static percentage in order to supply additional power when needed, the proposed method incorporates the dynamic frequency support into the optimal operation system of wind farm.

A method for modifying the power output of a wind turbine generator. The power output of a wind turbine generator can be modified based on the rate of fatigue and/or damage calculated for components within the wind turbine generator. Damage and/or fatigue can be calculated based on current or predicted future operating conditions. The turbine operation can be modified if the cost of damage and/or cost of fatigue is less than a value for the electricity produced. In this case, the rate of fatigue is calculated using models of the wind turbine generator or its components, where the model may be based on a metamodel or by an Equivalent Operating Hours approach.

A method and apparatus for forecasting output power of wind turbine in a wind farm. The present invention provides a method for forecasting output power of a wind turbine in a wind farm, including: generating a corrected data set based on environmental data collected from at least one sensor in the wind farm; correcting a weather forecasting model by using the corrected data set; obtaining a forecast value of wind information at the wind turbine based on the corrected weather forecasting model; and forecasting the output power of the wind turbine based on the forecast value and a power forecasting model.

A method for monitoring and controlling a wind turbine to minimize rotor blade damage includes receiving sensor data from one or more sensors indicative of at least one blade parameter of the rotor blade over a predetermined time period. The method also includes trending the sensor data for the predetermined time period with respect to at least one wind parameter. Further, the method includes determining at least one characteristic of the trended sensor data. Moreover, the method includes comparing the at least one characteristic of the trended sensor data to an operating threshold. In addition, the method includes implementing a control action if the comparison of the at least one characteristic of the trended sensor data and the operating threshold indicates blade damage is occurring or is likely to occur.

A method for forecasting of wind phenomena is provided. At each time step of one or more time steps during the operation of the wind farm the following steps are performed: In a first step, a digital image is obtained from an operational forecasting system based on high-resolution simulations performed with a numerical weather prediction model, the digital image being provided from the region of the wind turbine. In a second step, a prediction of a class is determined having a highest probability out of a number of pre-defined classes by processing the digital image by a trained data driven model, where the digital image is fed as a digital input to the trained data driven model and the trained data driven model provides the class with the highest probability as a digital output, wherein the number of classes corresponds to different meteorological conditions.

A method for operating a wind turbine for generating a settable turbine power, where the wind turbine includes a rotor having rotor blades adjustable in their blade angle, is operable at a settable rotor speed, and is installed at an installation site at a distance to an obstacle, comprises the obstacle causing a wind disturbance, which, in dependence on current wind direction and wind velocity, can reach the wind turbine as a wind wake, and the wind turbine reducing its turbine operation by throttling down for protection against loads due to the wind wake, wherein the throttling down is controlled in dependence on the current wind direction and the current wind velocity, wherein a weather prediction is used in order to take into consideration at least one further weather property in addition to the wind direction and wind velocity, and wherein the throttling down is additionally controlled in dependence on the weather prediction, in particular on the further weather property.

Temperature Control Based on Weather Forecasting Examples are generally directed to techniques for controlling a temperature of a blade, such as a blade in a wind turbine system. One example of the present disclosure is a method of controlling a temperature of a blade. The method includes inputting current weather conditions and future weather conditions into a processor, generating a first power production, generating a second power production curve based on future weather conditions, comparing the first power production curve to the second power production curve, determining which power production curve minimizes a new power production loss of the blade, and adjusting a heating cycle of the blade based on the power production curve that minimizes the net power productions loss of the blade.

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.

A method of estimating the energy production of a wind turbine or group of wind turbines is described. The method comprises obtaining, from a climate library, climate data in respect of a selected geographical location, the climate data comprising wind speed and direction at the selected geographical location, generating a plurality of power curves, each power curve defining a power output of a wind turbine as a function of wind speed for a particular climatic condition or range of climatic conditions, and estimating an energy production for the wind turbine or group of wind turbines using the generated power curves and wind speed data.