10results about "Passive/reactive control" patented technology

It is described a method of determining a value (12) of a stress related quantity of a rotor blade (3) of a wind turbine (1), the method comprising: emitting a primary radar signal (9) towards a portion (21, 22) of the blade (3); receiving a secondary radar signal (10) emanating from the blade (3) due to interaction with the primary radar signal (9); analysing at least the received secondary radar signal (10); and deriving, based on the analysis, the value (12) of the stress related quantity as related to or indicating a blade acceleration and / or a first temporal derivative of the blade acceleration and / or a higher temporal derivative of the blade acceleration.

The invention discloses a fan real-time control method and system based on edge calculation, and the method comprises the steps: obtaining wind speed and turbulence data through an environment sensor, judging whether disturbance exists or not through a distributed calculation unit, and determining a blade adjustment angle and a yaw deviation value through the combination of closed-loop control simulation and a real-time control algorithm; and finally, a control cycle is updated through a safety evaluation model, it is ensured that response time delay meets the requirement, and a stable adjustment scheme is formed. Wind field disturbance detection and load optimization are seamlessly integrated, accurate regulation and control of the wind driven generator are realized, the load is effectively reduced, and the system stability and the power generation efficiency are improved.

The invention provides a wind turbine method that includes receiving alarm state data indicating that the wind turbine has entered an alarm state in which operation of the wind turbine has stopped, and receiving sensor data from a plurality of sensors of the wind turbine indicative of operating conditions associated with the wind turbine. When the alarm state data is received, the method includes executing a trained machine learning model based on the received sensor data and the alarm state to obtain an output, where the machine learning model is trained based on historical data associated with a plurality of wind turbines, the historical data being indicative of the plurality of wind turbines previously being in the alarm state. The method includes providing, based on the obtained output, an action to be performed to allow the wind turbine to resume operation.

The invention relates to a Vortex Micro Hydropower Plant (HPP) designed to address irregularities in water supply to turbines, enabling efficient electricity generation from small rivers. The vortex micro HPP comprises a vertical pressure cell with upper conical and lower cylindrical parts, an inlet channel peripherally connected to the upper edge of the pressure cell, and an outlet tube channel connected to the cylindrical part of the pressure cell, a hydro turbine placed in the cylindrical part of the pressure cell, while in the conical part of the pressure cell, the wings are located at equal intervals along the wall, which are rigidly attached to radial joints placed in the wall of the pressure cell, to which the telescopic levers with loads are rigidly connected from the outside of the cell.

The present disclosure relates to a wind turbine blade comprising a leading-edge heating element extending along at least a portion of the leading edge of the wind turbine blade, the leading-edge heating element being configured for deicing a corresponding portion of an exterior surface of the leading edge; a first plurality of heating strips, each heating strip of the first plurality of heating strips extending in a substantially spanwise direction of the wind turbine blade, the first plurality of heating strips forming part of a first shell portion of the wind turbine blade, wherein the first shell portion is the pressure side shell portion or the suction side shell portion, the first plurality of heating strips being spaced apart from one another and from the leading-edge heating strip in a chordwise direction, each heating strip having a first end and a second end, the first end being closer to the tip end than the second end, each heating strip comprising carbon-fibre yarn and / or tow material; and a power source configured to provide electrical power to each of the first plurality of heating strips in order to generate heating in said each strip, said heating being generated by the carbon-fibre yarn and / or tow material. A method for manufacturing the wind turbine blade and a method of deicing such a wind turbine blade are also provided. Further, a heating strip is provided.

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.

The application discloses a kind of dual wind wheel wind turbine operation control methods, comprising: obtaining the speed and pitch angle of the front and rear wind wheels of dual wind wheel wind turbine under current wind speed;With the maximum overall output power of dual wind wheel wind turbine as the target, the target speed and pitch angle of the front and rear wind wheels of dual wind wheel wind turbine under current wind speed are determined;Linearization model based on state space of the transmission chain of the front and rear wind wheels is established respectively;Based on the linearization model, a state observer, a disturbance adjustment controller and a quadratic regulator are introduced, and the torque controller and the pitch controller of the front and rear wind wheels are designed to control the front and rear wind wheels.The method can take the maximum power output of the whole machine as the target, realize a control strategy based on linear quadratic regulation and disturbance adjustment technology, to solve the mutual influence problem of the front and rear wind wheels of dual wind wheel wind turbine during operation, improve the robustness of the system, improve the overall wind energy absorption rate of dual wind wheel, and fully exert the high-efficiency wind energy conversion capacity of dual wind wheel wind turbine.

A method for controlling wind turbines (2) of a wind park (1), the wind park (1) comprising a plurality of wind turbines (2), is disclosed. Incident signal data is obtained from a plurality of data providing wind turbines (5), the incident signal data including incident signals generated by the data providing wind turbines (5), and the incident signal data is fed to an artificial intelligence (AI) model (9) which is by means of the incident signal data in order to identify patterns in the incident signals generated by the data providing wind turbines (5). One or more actions are associated to the identified patterns, based on identified actions performed by the data providing wind turbines (5) in response to the generated incident signals. During operation of the wind turbines (2) of the wind park (1), one or more incident signals from one or more wind turbines (2) of the wind park (1) are detected and compared to patterns identified by the AI model (9). In the case that the detected incident signal(s) match(es) at least one of the identified patterns, the wind turbine(s) (2) of the wind park (1) are controlled by performing the action(s) associated with the matching pattern(s).

This invention provides a method for reducing noise emissions from a wind turbine. The method includes receiving data indicating wind conditions near the wind turbine and determining an operating setpoint signal based on the received data, according to the desired operation of the wind turbine. The method includes applying a perturbation signal to the operating setpoint signal to obtain a corrected operating setpoint signal, and using the corrected operating setpoint signal to control the operation of the wind turbine to reduce noise emissions. The perturbation signal is applied such that the corrected operating setpoint signal has a greater time variation than the original operating setpoint signal.

A method of determining a value of a stress related quantity of a rotor blade of a wind turbine is provided, the method including: emitting a primary radar signal towards a portion of the blade; receiving a secondary radar signal emanating from the blade due to interaction with the primary radar signal; analyzing at least the received secondary radar signal; and deriving, based on the analysis, the value of the stress related quantity as related to or indicating a blade acceleration and / or a first temporal derivative of the blade acceleration and / or a higher temporal derivative of the blade acceleration.