Abstract: A method for computer-implemented controlling of wind turbines in a wind farm is provided. The wind farm includes an upstream first and a downstream second wind turbines, wherein the following steps are performed: i) obtaining environmental data and stress data of the first wind turbine, the environmental data and the stress data being taken; ii) determining a status information indicating whether or not a predetermined event is present at the time of taking the data, wherein the predetermined event requires immediate controlling of the first wind turbine; iii) broadcasting a message which contains environmental data and a timestamp as event information; iv) evaluating the event information whether or not the predetermined event at the first wind turbine will hit the second wind turbine; v) generating a control command for controlling the second wind turbine in case the evaluation holds that the predetermined event will hit the second wind turbine.

Abstract: A method of operating a wind turbine is provided. The wind turbine is operable in plural different operating modes that differ by at least one of lifetime consumption of the wind turbine and energy production by the wind turbine. A sequence of operating modes is determined for a future period of time, wherein an optimization parameter is estimated based on an estimated external parameter. A sequence of operating modes is selected for which the optimization parameter meets an optimization target. The method further includes obtaining a current value for the consumed lifetime of the wind turbine and determining an actual operating mode for the wind turbine for a current point in time under consideration of a deviation between the current value of the consumed lifetime and a consumed lifetime expected for operation in the selected sequence of operating modes. The wind turbine is operated in the determined actual operating mode.

Abstract: A method of operating a wind turbine is provided. The wind turbine is operable in plural different operating modes that differ by at least one of lifetime consumption of the wind turbine and energy production by the wind turbine. A sequence of operating modes is determined for a future period of time, wherein an optimization parameter is estimated based on at least one estimated external parameter. The method further includes obtaining a current value for the at least one external parameter and determining an actual operating mode for the wind turbine for a current point in time, wherein the determining of the actual operating mode comprises estimating an adjusted optimization parameter for plural sequences and for the current value of the at least one external parameter, and selecting the actual operating mode based on the estimated adjusted optimization parameters. The wind turbine is operated in the determined actual operating mode.

Abstract: A method for a renewable energy generating system is provided. The renewable energy generating system includes the following steps: —determining, by a first energy meter, a produced energy amount of the renewable energy generating system in the predetermined period of time; —verifying the produced energy amount of the renewable energy generating system in the predetermined period of time; —issuing, by a computing unit, an energy certificate for the renewable energy generating system for the predetermined period of time, where the energy certificate at least comprises a time stamp indicating the predetermined period of time, an identifier indicating the one or group of renewable energy generators having produced the energy amount, and the produced energy amount; —encrypting, by the computing unit, the energy certificated; and —adding, by the computing unit, the encrypted energy certificate to a block of a blockchain or a distributed ledger application as a digital output.

Abstract: A method of operating a wind turbine is provided. The wind turbine is operable in plural different operating modes that differ by at least one of lifetime consumption of the wind turbine and energy production by the wind turbine. A sequence of operating modes is determined for a future period of time, wherein an optimization parameter is estimated based on at least one estimated external parameter. The method further includes obtaining a current value for the at least one external parameter and determining an actual operating mode for the wind turbine for a current point in time, wherein the determining of the actual operating mode comprises estimating an adjusted optimization parameter for plural sequences and for the current value of the at least one external parameter, and selecting the actual operating mode based on the estimated adjusted optimization parameters. The wind turbine is operated in the determined actual operating mode.

Abstract: Methods, systems, and devices for wind turbine control based on reinforcement learning are disclosed. The method comprises receiving data indicative of a current environmental state of the wind turbine, determining one or more controlling actions of the wind turbine based on the current environmental state of the wind turbine and a reinforcement learning algorithm, and applying the determined one or more controlling actions to the wind turbine.

Abstract: A method of controlling plural wind turbines is provided, wherein each wind turbine is operable in different operating modes, wherein operating parameters and/or operating features are set differently in the different operating modes. For at least a first of the plural wind turbines, at least some of the different operating modes have a different impact on a residual lifetime of at least a second of the plural wind turbines. In embodiments, the method includes providing at least one candidate operating scheme and estimating a residual lifetime and/or at least one optimization parameter. Estimating of the residual lifetime and/or the optimization parameter considers the impact of the operating mode of the first wind turbine specified in the candidate operating scheme on the residual lifetime of the second wind turbine. The plural wind turbines are then operated in accordance with an operating scheme selected from the candidate operating schemes.

Abstract: Methods, systems, and devices for controlling a yaw offset of an upstream wind turbine based on reinforcement learning are provided. The method includes receiving data indicative of a current state of the first wind turbine and of a current state of a second wind turbine adjacent to the first wind turbine downstream along a wind direction, determining one or more controlling actions associated with the yaw offset of the first wind turbine based on the current state of the first wind turbine, the current state of the second wind turbine, and a reinforcement learning algorithm, and applying the determined one or more controlling actions to the first wind turbine.

Abstract: A method of controlling the operation of a power plant is provided. The power plant includes plural energy systems, the plural energy systems including plural renewable energy generating systems, wherein the plural energy systems are coupled to a power grid. The method includes obtaining operating data of at least the renewable energy generating systems, the operating data being at least indicative of a lifetime consumption of the renewable energy generating systems; obtaining estimated environmental data that estimates one or more future environmental conditions; and modeling at least one of residual lifetime, energy production, or power demand satisfaction for a power demand for the energy systems. The modeling is based on the obtained operating data and is performed for a future period of time. The modeling considers a modification of operating modes. Based on the modeling, the operation of the power plant is adjusted.

Abstract: Provided is a method for monitoring one or more wind turbines in a wind farm, each wind turbine having a rotor with rotor blades which are rotatable around a rotor axis, wherein one or several times during the operation of the wind farm a process is performed that includes i) obtaining a digital image of the respective rotor blade, the image being a current image taken by a camera looking at the respective rotor blade; ii) determining one or more operation characteristics of the respective rotor blade by processing the image by a trained data driven model, where the image is fed as a digital input to the trained data driven model and the trained data driven model provides the one or more operation characteristics of the respective rotor blade as a digital output.

Abstract: A method of controlling the operation of a power plant is provided. The power plant includes plural energy systems, the plural energy systems including plural renewable energy generating systems, wherein the plural energy systems are coupled to a power grid. The method includes obtaining operating data of at least the renewable energy generating systems, the operating data being at least indicative of a lifetime consumption of the renewable energy generating systems; obtaining estimated environmental data that estimates one or more future environmental conditions; and modeling at least one of residual lifetime, energy production, or power demand satisfaction for a power demand for the energy systems. The modeling is based on the obtained operating data and is performed for a future period of time. The modeling considers a modification of operating modes. Based on the modeling, the operation of the power plant is adjusted.

Abstract: A method of controlling plural wind turbines is provided, wherein each wind turbine is operable in different operating modes, wherein operating parameters and/or operating features are set differently in the different operating modes. For at least a first of the plural wind turbines, at least some of the different operating modes have a different impact on a residual lifetime of at least a second of the plural wind turbines. In embodiments, the method includes providing at least one candidate operating scheme and estimating a residual lifetime and/or at least one optimization parameter. Estimating of the residual lifetime and/or the optimization parameter considers the impact of the operating mode of the first wind turbine specified in the candidate operating scheme on the residual lifetime of the second wind turbine. The plural wind turbines are then operated in accordance with an operating scheme selected from the candidate operating schemes.

Abstract: 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.

Abstract: A method and system of controlling operation of wind turbines is provided, the method including (a) receiving a parameter value which is based on at least one sensor signal, (b) determining a difference between the received parameter value and a predetermined value, (c) comparing the difference with a threshold value, and (d) if the difference is below the threshold value, operating the wind turbines in a first mode of operation, (e) if the difference is not below the threshold value, incrementing an alert counter, comparing the alert counter with an alert threshold value, operating the wind turbines in a second mode of operation if the alert counter is smaller than the alert threshold value or if the alert counter exceeds the second threshold value and the difference is decreasing, triggering an alarm if the alert counter exceeds the alert threshold value and the difference is not decreasing.

Abstract: Provided is a method for computer-implemented monitoring of wind turbines in a wind farm each wind turbine including, an upper section being pivotable around a vertical yaw axis wherein the following steps are performed: i) obtaining a digital image of the upper section of the first wind turbine, the image being a current image taken by a camera installed on the upper section of the second wind turbine; ii) determining a yaw misalignment angle between the first and second wind turbines by processing the image by a trained data driven model, where the image is fed as a digital input to the trained data driven model and the trained data driven model provides the yaw misalignment angle as a digital output, the yaw misalignment angle being the obtuse angle between the rotor axis of the first wind turbine and the rotor axis of the second wind turbine.

Abstract: Provided is a warning light apparatus for at least one wind turbine including: at least one warning light, at least one sensor for detecting the presence of an object, a presence acquisition device connected to the at least one sensor the presence acquisition device being configured for: triggering the capturing of data through the at least one sensor, analysing the data captured through the at least one sensor for detecting the presence of objects, a warning controller connected to the at least one warning light and the presence acquisition device, the warning controller being configured for: receiving information about the detection of objects from the presence acquisition device, sending function signals depending on the information received from the presence acquisition device for activating or deactivating the at least one warning light.

Abstract: A method of controlling the operation of a wind turbine is provided, wherein a control scheme is determined for the wind turbine, wherein the control scheme specifies for a future period of time at least a first operating period in which the wind turbine is operated to provide an output of electrical power to a power grid and at least one shutdown period in which the wind turbine is shut down, the shutdown period being arranged temporally after the first operating period. The wind turbine is operated in accordance with the control scheme. Determining the control scheme includes the obtaining of input data, wherein obtaining input data comprises at least monitoring operation of the wind turbine to obtain monitoring data related to the integrity of the wind turbine, and obtaining weather data indicating weather conditions, and the forecasting of two or more operating parameters.

Abstract: A system for providing electric energy is provided, the system including: plural energy providing units, each energy providing unit including measurement equipment for measuring at least one operational parameter of the energy providing unit; at least one environmental sensor installed at or close to selected energy providing units, in particular arranged at a periphery, adapted to measure an environmental condition, in particular wind condition; a central controller communicatively connected with the energy providing units and adapted to at least one of: to supply virtual sensor data to the energy providing units based on the environmental condition; to control operation of the energy providing units based on measurement results received from the measurement equipment of each of the energy providing units and based on the environmental condition.

Abstract: The repair system for performing at least one repair task in at least one wind turbine, in particular the nacelle, includes: a controllable robotic repair device installed in the wind turbine, in particular the nacelle, an operating device for remotely operating the robotic repair device, which comprises a control device and virtual reality equipment providing a virtual reality environment of the interior of the wind turbine, in particular the nacelle, for at least one human service user provided remote to the wind turbine, wherein the control device of the operating device is adapted to remotely control the robotic repair device according to user input commands provided via the virtual reality equipment.

Abstract: A method and system of controlling operation of wind turbines is provided, the method including (a) receiving a parameter value which is based on at least one sensor signal, (b) determining a difference between the received parameter value and a predetermined value, (c) comparing the difference with a threshold value, and (d) if the difference is below the threshold value, operating the wind turbines in a first mode of operation, (e) if the difference is not below the threshold value, incrementing an alert counter, comparing the alert counter with an alert threshold value, operating the wind turbines in a second mode of operation if the alert counter is smaller than the alert threshold value or if the alert counter exceeds the second threshold value and the difference is decreasing, triggering an alarm if the alert counter exceeds the alert threshold value and the difference is not decreasing.