Vestas Wind Systems A/s

Casper Hillerup Lyhne

Morten Tim Thorsen

Johnny Nielsen

Roberto Ugo Di Cera Colazingari

Mikkel Kåe Skovdal

A method for controlling wind turbines. Incident signal data is obtained from wind turbines and fed to an artificial intelligence (AI) model in order to identify patterns in the incident signals generated by the wind turbines. One or more actions are associated to the identified patterns, based on identified actions performed by the wind turbines in response to the generated incident signals. During operation of the wind turbines, one or more incident signals from one or more wind turbines are detected and compared to patterns identified by the AI model. In the case that the detected incident signal(s) match(es) at least one of the identified patterns, the wind turbine(s) are controlled by performing the action(s) associated with the matching pattern(s).

Method for controlling wind turbines of a wind park using a trained AI model

Disclosed is a method, performed by an electronic device, for control of operation of a wind turbine. The method comprises obtaining wind turbine data indicative of one or more alerting events of the wind turbine, wherein the wind turbine data comprises warning data indicative of a warning of the wind turbine, and/or alarm data indicative of an alarm state of the wind turbine. The method comprises obtaining sensor data from a plurality of sensors of the wind turbine indicative of operating conditions associated with the wind turbine. The method comprises predicting, based on the wind turbine data and the sensor data, an upcoming safety stop by applying a machine learning model to the wind turbine data and the sensor data. The method may comprise providing, based on the predicted upcoming safety stop, control data indicative of a controlled stop or a derating to be performed by the wind turbine.

Prediction and prevention of safety stop of a wind turbine

According to an aspect of the invention there is provided a method of controlling an energy storage system to provide a frequency regulation service for a power network, to which the energy storage system is connected. The energy storage system is controlled according to one or more regulations of the power network to counteract frequency deviations within a frequency contingency deadband of the power network to provide the frequency regulation service for a service period. The energy storage system is one of a plurality of energy storage systems connected to the power network, each energy storage system being operated to counteract the frequency deviations according to the one or more regulations of the power network.

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Åbyhøj, Denmark

Casper Hillerup Lyhne