A method and apparatus for applying optimized yaw settings to wind turbines including receiving operating data from at least one wind turbine on a wind farm and sending the data to a supervisory control and data acquisition (SCADA) system on the at least one wind turbine to generate current SCADA data. The current SCADA data is sent a central processing center away from the wind farm. The central processing center includes an optimization system that can generate a new look up table (LUT) including at least one new wind turbine yaw setting calculated using information comprising wind direction, wind velocity, wind turbine location in the wind farm, information from a historic SCADA database, and yaw optimizing algorithms.

The new LUT is then sent to a yaw setting selection engine (YSSE) where instructions regarding the use of the new LUT are generated.

A condition monitoring system comprises a measurement device and a processing server. The measurement device measures a condition of an apparatus provided for a wind power generation facility. The processing server associates measurement data measured by the measurement device with load data representing an operating load of the wind power generation facility acting at a time when the measurement data is measured and cumulative load data representing a cumulative operating load accumulated up to the time when the measurement data is measured, to generate a data set of the load data, the cumulative load data, and the measurement data for the time when the measurement data is measured.

Monitoring and assessing power performance changes of one or more wind turbines of a wind farm. For each wind turbine to be monitored, a group of reference wind turbines is defined. During a training period a transfer function is generated for each monitored wind turbine. The transfer function establishes a relationship between locally measured wind speeds at each of the reference wind turbines and the power performance data for the monitored wind turbine obtained during the training period. During one or more subsequent test periods, measured power performance data for the monitored wind turbines is compared to predicted power performance data. The predicted power performance data is obtained by means of the locally measured wind speeds at the corresponding reference wind turbines during the test period(s) and the previously generated transfer function for the monitored wind turbine. This allows even small and/or gradual power performance degradation to be detected.

A method of controlling a wind turbine, wherein a minimum required hydraulic pressure represents a hydraulic pressure of at least one accumulator of the wind turbine which is required to pitch at least one blade of the wind turbine which is associated with the accumulator into a stop position of the wind turbine, and wherein a pitch angle represents a pitch angle of a normal of the at least one blade of the wind turbine relative to an incoming wind direction. The method includes (a) determining a minimum requirement function of the minimum required hydraulic pressure dependent on the pitch angle, (b) detecting a current hydraulic pressure in the at least one accumulator at a current pitch angle of the at least one blade, and (c) controlling the wind turbine such that the current hydraulic pressure is above the minimum required hydraulic pressure at the current pitch angle.

A method includes receiving, via one or more turbine-level controllers, an indication of at least one of a communication loss between the one or more turbine-level controllers and a farm-level controller, a detection of an absence of reactive power regulation by the farm-level controller, or a reactive power command of the farm-level controller being equal to or above a saturation threshold during transitioning between a baseline operational mode and reactive power mode, the reactive power mode being characterized in that only reactive power is generate. Upon receipt of the indication, the method includes adjusting a reactive power response of one or more reactive power regulators of the one or more turbine-level controllers so as to avoid an overshoot reactive power event or an undershoot reactive power event at the point of interconnection.

A method for determining control parameters of a turbine by consideration of component-relevant temperature limits is provided. The method considers the impact of individual turbine manufacturing tolerances on the turbine performance in a turbine model to determine control parameters for the turbine without damaging it. The method includes the steps of: receiving, by an interface, one or more measurement values of turbine sensors; determining, by a processing unit, at components or turbine places being equipped or not with turbine sensors, one or more virtual parameters and/or temperatures by a simulation of the operation of the turbine, the simulation being made with a given turbine model in which the one or more measurement values and one or more characteristic values of the wind turbine are used as input parameters; and deriving, by the processing unit, the control parameters for the wind turbine from the one or more virtual parameters and/or temperatures.

A wind turbine control architectures, including a turbine control portion which is configured to control at least one component of a wind turbine, and a turbine data storage portion which is configured to store a data storage container therein is provided. The turbine control portion and the turbine data storage portion communicate with each other via an inter-process communication.