A method for use in controlling a wind turbine generator of a wind power plant based on a condition of a power converter or a component forming part of a power converter in the wind power plant. The method comprises determining the initial condition of the power converter or a component forming part of a power converter and determining the evolution of the condition from the initial condition based on notional power reference values of the wind turbine generator. The method further comprises comparing the evolution of the condition to a predetermined threshold and determining, from the comparison, a time period by which the condition of the power converter or a component forming part of a power converter will substantially equal the predetermined threshold.

The ocean wave power generator with an artificially intelligent controller is a wave power generator based on a two-body mass-spring-damper system, including a first mass, a second mass, and a linear generator coupled to the second mass. A linear actuator is coupled to the second mass, and first and second motion sensors are positioned for detecting position and speed of the first and second masses. The maximum power output of the linear generator is determined based on the position and the speed of the first mass, and an ideal position and an ideal speed of the second mass, corresponding to the maximum power output of the linear generator and the position and the speed of the first mass, are determined. The position and the speed of the second mass are adjusted using a linear actuator to match the ideal position and the ideal speed of the second mass.

A method for controlling a multirotor wind turbine is disclosed. A first operational state of each of the energy generating units of the wind turbine is obtained. A difference in thrust acting on at least two of the energy generating units is detected. At least one constraint parameter of the set of operational constraints is adjusted in accordance with prevailing operating conditions and in accordance with the detected difference in thrust, and a new operational state for at least one of the energy generating units is derived, based on the at least one adjusted constraint parameter, the new operational state(s) counteracting the detected difference in thrust. Finally, the wind turbine is controlled in accordance with the new operational states for the energy generating units.

A method for controlling a wind turbine based on aerodynamic performance maps that account for blade twist includes controlling the wind turbine based on at least one aerodynamic performance map. Further, the method includes determining at least one speed parameter of the wind turbine. Moreover, the method includes determining a blade torsional stiffness factor. Thus, the method further includes determining, via the processor, a twist correction factor for the aerodynamic performance map as a function of the at least one speed parameter and the blade torsional stiffness factor. The method then includes applying the twist correction factor to the at least one aerodynamic performance map to obtain an adjusted aerodynamic performance map. In addition, the method includes controlling the wind turbine based on the adjusted aerodynamic performance map.

In a wind turbine comprising a tower supporting a nacelle, at least one blade rotationally attached to the nacelle and having a blade-tip section, a system for measuring the separation distance between the tower and the blade-tip-section of the wind turbine, comprising an indicator stripe on the surface of the blade-tip section, an indicator ring encircling the tower, a camera in the nacelle and positioned such that the blade-tip section and the indicator ring are within the camera's field of view when the blade-tip is at its closest approach position to the tower, the camera digitally recording an image of its field of view at this closest approach position, the distance between indicator ring and camera being essentially equal to the distance between the indicator stripe and the camera at this closest approach position, and an image processor and tip-tower clearance calculator unit receiving the digitally recorded image and calculating a physical separation distance between the indicator stripe and the indicator ring using the digitally recorded image information, the physical separation distance being indicative of the blade tip-tower clearance.

An automatic self-driving pump system features a pump/motor/drive detector and an automatic self-driving and control design/setup module. In operation, the pump/motor/drive detector receives sensed signaling containing information about a pump/drive for operating in a hydronic pump system, e.g., stored in and sensed from a signature chip or barcode installed that can be scanned by a scanner, and provides corresponding database signaling containing information about parameters for providing automatic pump control design, setup and run to control the pump/drive for operating in the hydronic pump system, based upon the sensed signaling received. The automatic self-driving and control design/setup module receives the corresponding database signaling, and provides control signaling containing information for providing the automatic pump control design, setup and run to control the pump/drive for operating in the hydronic pump system, based upon the corresponding database signaling received.

The ocean wave power generator with an artificially intelligent controller is a wave power generator based on a two-body mass-spring-damper system, including a first mass, a second mass, and a linear generator coupled to the second mass. A linear actuator is coupled to the second mass, and first and second motion sensors are positioned for detecting position and speed of the first and second masses. The maximum power output of the linear generator is determined based on the position and the speed of the first mass, and an ideal position and an ideal speed of the second mass, corresponding to the maximum power output of the linear generator and the position and the speed of the first mass, are determined. The position and the speed of the second mass are adjusted using a linear actuator to match the ideal position and the ideal speed of the second mass.

The present invention provides a method of operating a wind turbine. The wind turbine comprises at least one rotatable blade. The method comprises the steps of providing a load sensor configured to generate a load signal representing loading on the blade, generating a first load signal when the blade is in a first position, and generating a second load signal when the blade is in a second position. Additionally, the method comprises steps of detecting a rotational speed of the blade, calculating a weight force on the blade based on the first and the second load signal, and calculating a centrifugal force on the blade based on the first and the second load signal. Subsequently, the weight force is compared with a predetermined weight force, and the centrifugal force is compared with a predetermined centrifugal force at the detected rotational speed. Finally, a risk of ice throw is determined based on the comparisons of the weight force and the centrifugal force with the predetermined forces.

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 system includes a wind turbine a wind and a first control device for controlling the wind turbine. The first control device is configured to acquire a yaw misalignment of the wind turbine, which yaw misalignment is a difference between the actual yaw angle and a wind direction at the wind turbine; and to determine at least one of a target pitch angle of the blade and a target torque of the generator based on the yaw misalignment to optimize a power output from the wind turbine. Further, a wind farm includes the system and a method of controlling a wind turbine.