23results about "Passive/reactive control" patented technology

The invention belongs to the technical field of wind power generation, and discloses a wind driven generator multi-drive variable pitch control method based on big data, which comprises the following steps of: constructing a multi-source data acquisition network covering an environment, a unit, a power grid and a driver, and combining preprocessing means such as denoising and standardization and feature extraction methods such as principal component analysis; high-quality input is provided for a short-term prediction model; the model can accurately pre-judge wind conditions and power requirements in the future 10-30 minutes, and is matched with a global optimization algorithm to dynamically adjust a variable pitch strategy, so that the wind driven generator can still keep stable power output under complex working conditions of gust, power grid fluctuation and the like, and particularly has outstanding performance in areas with unstable wind resources. According to mechanical coupling characteristics of the multi-drive variable pitch system, mechanical parameters such as a gear transmission gap and shafting rigidity are fully included in global optimization, and power output, mechanical fatigue and load distribution are balanced through a multi-objective optimization algorithm.

A method is provided for monitoring the temperature of an electrical generator (200) of a wind turbine (100), wherein the generator (200) has a stator (220), a rotor (210), and a temperature monitoring unit (300). The temperature monitoring unit has a passive control element (310) on the rotor (210) and a receiving unit (320) on the stator (220). A temperature change on the rotor (210) leads to a mechanical or optical change in the passive control element (310). The mechanical or optical change in the passive control element (310) is detected by the receiving unit (320) on the stator (220).

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 present disclosure provides a system and method for real-time anomaly data determination for turbine blades of a wind turbine. The system receives sensor data associated with a set of turbine blades of the wind turbine. The sensor data indicates one or more structural characteristics associated with each of the set of turbine blades and / or one or more operational characteristics associated with each of the set of turbine blades. The system determines profile data associated with each of the set of turbine blades based on the sensor data. The system determines anomaly data associated with at least one of the set of turbine blades based on the profile data associated with each of the set of turbine blades. The anomaly data indicates a deviation between at least two turbine blades of the set of turbine blades. The system outputs the anomaly data.

A wind turbine with a tower and a nacelle with a nacelle housing is provided. The nacelle is placed on the tower. Further provided is a cooling flap, which is configured to close an opening in or on the area of the wind turbine to be cooled. At least one temperature-dependent passive actuator is configured to activate and open the cooling flap as a function of temperature, so as to enable a heat compensation in the area to be cooled by means of the opening. The temperature-dependent passive actuator can change its shape and / or its length without any external electrical energy as a function of temperature.

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 invention discloses a modular control method and system for a wind turbine based on optimal control, which performs the following operations: Pitch power control: used for generator power control. When the wind speed is greater than a certain threshold, the wind turbine operates above the rated wind speed. The average power of the generator is adjusted to the rated power by changing the pitch angle, and the power fluctuation is within an acceptable range; Torque speed control: used for wind turbine speed control. When the wind speed is less than a certain threshold, the wind turbine operates below the rated wind speed. The speed of the wind turbine is adjusted below the rated speed by the generator torque, and the power output reaches the maximum. The present invention can achieve optimal control of power and speed.

The invention provides a method for monitoring the temperature of a generator (200) of a wind turbine (100) and a generator wherein the generator (200) has a stator (220), a rotor (210) and a temperature monitoring unit (300). The temperature monitoring unit has a passive control element (310) on the rotor (210) and a receiving unit (320) on the stator (220). A change in temperature on the rotor (210) results in a mechanical or optical change in the passive control element (310). Mechanical or optical changes in the passive control element (310) are obtained by means of a receiving unit (320) on the stator (220).

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).

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.

The present disclosure provides a system and method for real-time anomaly data determination for turbine blades of a wind turbine. The system receives sensor data associated with a set of turbine blades of the wind turbine. The sensor data indicates one or more structural characteristics associated with each of the set of turbine blades and / or one or more operational characteristics associated with each of the set of turbine blades. The system determines profile data associated with each of the set of turbine blades based on the sensor data. The system determines anomaly data associated with at least one of the set of turbine blades based on the profile data associated with each of the set of turbine blades. The anomaly data indicates a deviation between at least two turbine blades of the set of turbine blades. The system outputs the anomaly data.

The present disclosure relates to a wind turbine blade comprising: a leading edge heating element extending along at least a portion of a leading edge of the wind turbine blade, the leading edge heating element configured for de-icing a corresponding portion of an outer surface of the leading edge; a first plurality of heating strips, each 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 a pressure side shell portion or a suction side shell portion, the first plurality of heating strips are spaced apart from each other in a chordwise direction and from the leading edge heating strip, each heating strip comprising a carbon fiber yarn and / or tow material.

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 wind turbine (100) is provided, comprising a tower (102) and a nacelle (200) with a nacelle housing (210). The nacelle (200) is positioned on the tower (102). Furthermore, a cooling flap (220) is provided, which is designed to close an opening (211) in or on the area (200) of the wind turbine to be cooled. At least one temperature-dependent passive actuator (500) is designed to actuate and open the cooling flap (200) in a temperature-dependent manner, in order to allow heat exchange in the area (200) to be cooled via the opening (211). The temperature-dependent passive actuator (500) can change its shape and / or length depending on the temperature without external electrical energy.

The application discloses a wind turbine independent variable pitch control method and system, the method comprises the following steps: S1, collecting the four direction shaking posture angle data of the wind turbine; S2, calculating the axial thrust and lateral thrust of the wind turbine according to the collected data; S3, calculating the variable pitch instruction in three-phase coordinates according to the axial thrust and lateral thrust of the wind turbine, superimposing the variable pitch instruction in the three-phase coordinate system into the unified variable pitch demand instruction, and delivering the unified variable pitch demand instruction to the variable pitch actuator; S4, the variable pitch actuator controls the variable pitch action of the wind turbine based on the unified variable pitch demand instruction; the application can reflect the dynamic change of the axial thrust and lateral thrust of the wind turbine in real time, reduce the limit and fatigue load caused by the thrust fluctuation in a targeted manner, and dynamically adjust the variable pitch instruction according to the turbulence of the actual wind field, so that the damage to the variable pitch bearing and the component limit load caused by the thrust fluctuation and imbalance can be effectively reduced.

A method for controlling a windfarm having a plurality of wind power installations and feeding into an electrical supply network at a network connection point is provided. The method includes inputting at least one control error at a control error input of a windfarm control module, generating at least one manipulated variable depending on the at least one control error using at least one controller, and outputting the at least one manipulated variable at a manipulated variable output for transmission to the wind power installations. The method includes recording in each case at least one state of the windfarm, the windpower installations thereof and / or an ambient condition as farm state at a state input of the control module, and altering or predefining at least one property of the at least one controller depending on the at least one recorded farm state by means of a controller setting device.

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).

A method is provided for monitoring the temperature of an electric generator of a wind turbine, wherein the generator has a stator, a rotor and a temperature monitoring unit. The temperature monitoring unit has a passive control element on the rotor and a receiving unit on the stator. A change in temperature on the rotor leads to a mechanical or optical change in the passive control element. The mechanical or optical change in the passive control element is acquired by the receiving unit on the stator.

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.