30results about "Engine control parameters" patented technology

This application discloses a wind turbine operation control method, device, equipment, and storage medium, relating to the field of wind turbine generator control technology. The method includes: preprocessing initial pitch angle setpoints to obtain a target pitch angle setpoint time series; determining the inflection point positions of the target pitch angle setpoint time series and the change amplitude of adjacent inflection points to form a change amplitude set; determining the target change amplitude corresponding to a preset time period in the change amplitude set; and determining the number of target amplitudes from the target change amplitudes based on a preset amplitude threshold; determining whether the number of target amplitudes is greater than a preset number threshold; if greater, then controlling the target wind turbine to operate based on a preset low-fatigue operation mode. In this way, characteristic variables such as the pitch angle setpoint are used to equivalently describe the wind speed changes on the turbine rotor surface, thereby reducing fatigue load and improving the safety and stability of turbine operation.

The application provides a kind of gust-oriented wind turbine unit overspeed prevention control method, device and medium, belong to wind turbine unit control field.The method comprises: obtaining real-time wind speed data and generator speed data;According to real-time wind speed data, determine whether to enter the gust mode of wind turbine unit;In the case of entering gust mode, adjust the minimum pitch angle of wind turbine unit operation to be the minimum pitch angle of gust mode operation;According to generator speed data, calculate generator speed acceleration;According to generator speed data and generator speed acceleration, determine whether to enter acceleration overspeed prevention control strategy;In the case of determining to enter acceleration overspeed prevention control strategy, superimpose preset pitch rate on normal pitch rate.In the gust mode, the pitch angle in the operation of wind turbine unit is raised, so that the angle of attack margin of blade can be kept in a safe range, and after entering the acceleration overspeed prevention control strategy, superimpose preset pitch rate on normal pitch rate.

A wind power generating apparatus (1) comprising: a rotatable track (3) rotatably mounted in an at least substantially horizontal plane; at least one power generator (7) associated with the rotatable track such that power from the power generator(s) is generated by rotation of the rotatable track; a plurality of elongate aerofoil modules (9) rotatably supported on the rotatable track, each of the aerofoil modules extending at least substantially laterally from the rotatable track, the rotation of each of the aerofoil modules about an elongate axis of the aerofoil module being independently controllable to thereby maximise. a motive force applied to the aerofoil modules.

There is provided a method (70) of controlling power output of a wind turbine (10) at below-rated wind speed, the method (70) comprising: determining (710) an indication of blade torsion of one or more rotor blades (18) of the wind turbine (10) in dependence on wind speed and / or rotor speed; determining (720) a torsion-corrected blade pitch based on the indication of blade torsion; and using (730) the torsion-corrected blade pitch to control pitch the one or more rotor blades (18).

The Invention describes a wind turbine (2) comprising an active yaw System (1) realised to maintain an upwind Orientation (UW) of the wind turbine aerodynamic rotor (22) during safe operating conditions, which active yaw System (1) comprises a number of yaw drive units (10), and wherein a yaw drive unit (10) comprises a negative brake (103); a principal power supply (25) configured to supply power to the active yaw System (1) during normal Operation of the wind turbine (2); and a dedicated negative brake reserve power supply (11) configured to supply power to the negative brakes (103) in the event of a grid disconnect. The Invention further describes a method of operating such a wind turbine.

A method of activating and / or deactivating a safety operation mode of a wind turbine (100) is described, the method comprising: receiving at least one measurement signal (112) related to a weather condition; filtering the measurement signal related quantity to obtain a filtered signal (624, 615a,..., 615d), wherein the filtered signal depends on the measurement signal related quantity and / or whether the filtered signal is increasing or decreasing over time; activating and / or deactivating the safety operation mode based on the filtered signal.

A wind turbine with a clearance determination device There is described A wind turbine (1) comprising: (i) a tower (2); (ii) a nacelle (3) coupled to the tower (2); (iii) a wind rotor (5) arranged at the nacelle (3), and comprising at least one blade (4); and (iv) a clearance determination device (100) to determine a distance (D) between the tower (2) and the at least one blade (4), the clearance measuring device (100) comprising: a transmitter (110) configured to transmit an electromagnetic signal (20), a receiver (120) configured to directly receive the signal (23) transmitted by the transmitter (110), and a processing unit (130) configured to determine the distance based on the transmission and the direct reception of the electromagnetic signal (20); wherein one of the transmitter (110) and the receiver (120) is arranged at the blade (4) and the other one is arranged at the tower (2), and wherein the transmitter (110) and / or the receiver (120) comprises a leaky feeder (150).

The application discloses a wind turbine hub load suppression method based on independent variable pitch and yaw cooperative control, and the method comprises the following steps: a nonlinear mechanism model for wind turbine hub fatigue load calculation is established; a linearization treatment is performed on the nonlinear mechanism model according to a small signal analysis method to obtain a wind turbine linearization model; a two-degree-of-freedom control framework is established; a state space equation model is obtained according to the wind turbine linearization model and the two-degree-of-freedom control framework; and a model predictive controller is established to suppress the load of the wind turbine hub according to the state space equation model. The application can realize power tracking and hub fatigue load suppression of the wind turbine and can be widely applied to the technical field of wind driven generators.

A method (1000) of controlling wake (520) in a floating wind park (100) is provided. The wind park comprises a plurality of floating wind turbines that can change position and / or orientation during operation. The plurality of floating wind turbines comprise an upstream wind turbine (110) and a downstream wind turbine (120), wherein the downstream wind turbine is positioned downstream of the upstream wind turbine such that a wake of the upstream turbine has an influence on the downstream wind turbine. The method comprises monitoring (S1) a wind condition at at least one of the plurality of floating wind turbines to generate at least a first monitored wind condition, monitoring (S2) one or more parameters indicative of a position and / or orientation of at least one of the plurality of floating wind turbines to generate at least a first monitored floating motion state and generating (S3) a control parameter based on a parameter set comprising at least the first monitored wind condition and the first monitored floating motion state. The control parameter is derived from said parameter set, wherein said deriving considers an influence of floating motion parameters of an upstream wind turbine on the wake of the upstream wind turbine and considers an effect of the wake of the upstream wind turbine on a downstream wind turbine. The control parameter is derived so as to reduce the wake influence on the downstream wind turbine. The method further comprises controlling (S5), based on the control parameter an operation of at least one of the plurality of floating wind turbines.

A control method (100) for controlling a wind farm comprising a plurality of wind turbines, based on a plurality of estimated wind velocities and a plurality of estimated wind directions of the wind on the wind farm. The method comprises determining (120), for each wind turbine, a respective rotation command by solving an optimization problem. The optimization problem aims at maximizing an objective function, comprising a first component and a second component. The first component is representative of power generated by the wind farm for said set of successive time instants. The second component is representative of the fatigue of each wind turbine of the wind farm, surrogated over the set of successive time instants. Said second component depends on the fatigue induced by mechanical moments of wind forces on each wind turbine, at each time instant.

A control method (100) for controlling a wind farm comprising a plurality of wind turbines, based on an estimated wind velocity and an estimated wind direction of the wind on the wind farm. The method comprises receiving a wind direction and a wind velocity. The method further comprises determining (120) a group of yaw angles sets and evaluating (130), for each yaw angle set, a power generated by the wind farm. The method further comprises generating (150) new yaw angle sets and modifying (160) the value of each yaw angle according to a probability law. The method further comprises adjusting (170). The method further comprises selecting (190), among the adjusted yaw angle sets, the set for which the power generated is the highest, the yaw angles of such selection set being the desired yaw angles, and sending (200), to each wind turbine, the respective desired yaw angle.

The invention describes a wind direction estimator (1) for a wind turbine (2), comprising a means of receiving wind direction measurements (250) from a wind direction sensor (25) of a wind turbine (2) during operation of the wind turbine (2); an N-dimensional compensation function (10) configured to receive N input values (101, …, 10N, 26m, 240) and to output a wind direction offset (100) on the basis of the N received input values (101, …, 10N, 26m, 240), wherein N is at least 2 and wherein each input value (101, …, 10N, 26m, 240) relates to an operational variable of the wind turbine (2); and a means of adding a computed wind direction offset (100) to a received wind direction measurement (250) to obtain a wind direction estimate (Dest). The invention further describes a method of estimating a wind direction (Dtrue).

This invention discloses a wind speed estimation method for wind turbine generators under limit control. Addressing the difficulty in estimating wind speed under limit control, this method reveals the essential mapping relationship between pitch angle and wind speed. Based on a polynomial fitting function of this mapping relationship, it effectively estimates the real-time wind speed of wind turbine generators under limit control using the pitch angle value, improving the wind speed estimation capability under multiple operating conditions and ensuring the safe and stable operation of wind turbine generators. Compared with existing methods, this method has the following advantages: (1) simple structure, requiring no additional hardware modifications; (2) strong versatility, applicable to different types of variable-speed, variable-pitch wind turbine generators; (3) high accuracy and small error in wind speed estimation. This method has strong practical engineering value.

A control system (4) is described for a wind turbine (2) provided with blades (3) and an electrical machine (5) coupled to the blades (3) for the generation of electrical energy from wind kinetic energy. The system provides: a control stage (10), to generate control signals (δ1, δ2, δ3) for the electrical machine (5) through a feedback control based on measured quantities (IdMEAS, IqMEAS) and reference quantities (IdTGT, IqTGT); and a reference generation stage (20), to generate the reference quantities (IdTGT, IqTGT) for the control stage (10). The reference generation stage (20) determines a control target for the generation of reference quantities (IdTGT, IqTGT) using a characterization map of the wind turbine (2) and operating in closed loop based on feedback of wind speed to which the wind turbine (2) is subjected.

The invention describes a wind direction estimator (1) for a wind turbine (2), comprising a means of receiving wind direction measurements (250) from a wind direction sensor (25) of a wind turbine (2) during operation of the wind turbine (2); an N-dimensional compensation function (10) configured to receive N input values (101, ..., 10N, 26m, 240) and to output a wind direction offset (100) on the basis of the N received input values (101, ..., 10N, 26m, 240), wherein N is at least 2 and wherein each input value (101, ..., 10N, 26m, 240) relates to an operational variable of the wind turbine (2); and a means of adding a computed wind direction offset (100) to a received wind direction measurement (250) to obtain a wind direction estimate (Dest). The invention further describes a method of estimating a wind direction (Dtrue) .

The application provides a variable speed ratio vertical axis wind turbine system, comprising: a vertical axis wind rotor with blades; a brake, a multi-gear transmission, a generator, a power battery, and an electric power distribution unit, a gear hydraulic system and a controller electrically connected with the generator. Through the switching and regulation of gears, the generator is always in the high-efficiency power generation area. At the same time, smooth switching of the gearbox gears can be realized during the working process, the impact is reduced, the service life of the generator is increased, the brake can be used for the vertical axis wind turbine, and in the case of emergency, the accumulator can ensure that the wind turbine still has the brake function in the case of failure of the hydraulic system, so that safe, reliable and efficient power generation is ensured.

Methods for lubricating a pitch bearing connecting a blade and a hub of a wind turbine include determining that lubricating the pitch bearing is to be carried out. The method further includes determining a top limit for a thrust gradient, the thrust gradient being a derivative of thrust with respect to time. Further, the method includes determining a pitch rate for lubricating the pitch bearing based at least partially on the top limit for the thrust gradient, and pitching the wind turbine blade at the determined pitch rate for lubricating the pitch bearing such that the top limit for the thrust gradient is not exceeded.

The application discloses a yaw motor flexible brake control method and system of a wind turbine generator set, and relates to the technical field of wind turbine generator sets. The method comprises the following steps: acquiring wind data of the surrounding environment of the wind turbine generator set within a preset time period; acquiring the running state of a yaw system in the wind turbine generator set and the yaw system speed; judging whether the wind data is abnormal; if the wind data is abnormal, generating a brake braking scheme of a brake braking system in combination with the running state and the yaw system speed, wherein the brake braking scheme comprises an emergency braking scheme; and if the brake braking scheme is the emergency braking scheme, operating the brake braking system according to a flexible input scheme to reduce the collision impact between the brake braking system and the yaw system. The application can flexibly input the brake braking system when the surrounding environment wind is abnormal, so as to reduce the collision impact between the brake braking system and the yaw system in the process of reducing the yaw system speed.

The present invention relates to structurally designing a wind turbine system including setting a ramp-down wind speed of the wind turbine system. A method is disclosed where wind speed distribution data of a site of the wind turbine system, structural design parameters and a measure for power generation from wind turbines in a defined geographic region are obtained. Based on the measure for power generation, a maximal desired power generation from wind turbines in a geographic region of the wind turbine system is obtained, and a wind speed is determined where the maximal desired power generation is reached. A ramp-down wind speed of the wind turbine system is set to the determined wind speed. In embodiments a target power may be increased above a reference power for a wind speed in a wind speed range, such as in a knee region of the power curve.

A method for determining a wind sector distribution comprising a plurality of wind sectors WS_n, with n = 1, ..., N, for the operation of a wind turbine (100) a wind turbine (100) and a control system (200) are specified, the method comprising the steps (S1, S2) of providing wind condition information (I_wc) representative of average wind conditions at the location of the wind turbine (100), and performing an optimization routine (OR) for maximizing an estimated annual energy production AEP of the wind turbine (100) based on the wind condition information (I_wc) and the plurality of wind sectors WS_n, wherein the optimization routine (OR) comprises determining the plurality of wind sectors WS_n, wherein for each wind sector WS_n an effective turbulence intensity I_eff_n, based on the wind condition information and an admissible turbulence intensity I_design_n, is determined, wherein each of the admissible turbulence intensities I_design_n corresponds to a specific power mode and is based on a plurality of design parameters of the wind turbine (100), a turbulence intensity ratio TIR_n = I_eff_n / I_design_n is determined for each of the wind sectors WS_n, and the optimization routine is performed with the constraint that a weighted combination of the turbulence intensity ratio TIR_n of all wind sectors WS_n is equal to or less than 1.

The application discloses a kind of multi-modal energy conversion storage methods based on composite wind energy utilization, it is related to wind energy utilization technical field, the method includes the following steps: VAWT and HAWT are connected in parallel to converter by unified DC bus output;The DC bus output is respectively introduced to direct drive, gear speed-up hybrid power generation module and multi-modal energy storage module;Dynamically distribute power generation power by intelligent collaborative control module;The intelligent collaborative control module adjusts power distribution strategy in real time by feedback monitoring energy storage unit state and power grid operating state, the application realizes multi-direction wind harvesting, efficient power generation in low-speed and turbulent flow environment by composite wind turbine layout and dynamic flow guide yaw, solves the problem that single wind turbine energy harvesting efficiency is low and cannot adapt to variable wind conditions, enhances wind energy capture rate, improves annual power generation.

A system and method are provided for controlling a wind farm during low wind speeds. Accordingly, the farm controller designates at least one of the plurality of wind turbines of the wind farm as a designated turbine. The designated turbine is operating in a full auxiliary mode when the speed of the wind acting on the wind farm is below a wind speed threshold. The remaining wind turbines are operated in a reduced auxiliary mode. The reduced auxiliary mode includes the disabling of at least one of pitching and yawing of the remaining wind turbines. When a power output for the designated wind turbine exceeds a power threshold, the farm controller directs at least one group of the remaining wind turbines to transition from the reduced auxiliary mode to the full auxiliary mode. During certain grid conditions, the transition between auxiliary modes may be delayed.

A pitch control method based on cooperative optimization for an offshore wind farm, may include: acquiring a power control signal and a load reduction control signal of each wind turbine cluster; and generating, according to the power control signal and the load reduction control signal, a pitch control command based on a preset optimal control objective, and transmitting the pitch control command to a corresponding pitch control action execution mechanism for pitch control; wherein the power control signal is determined by an arithmetic processing unit through processing wind turbine parameters and wind speed data of the offshore wind farm, with a control objective of maximizing output power of the offshore wind farm; and the load reduction control signal is generated by a single-turbine controller for the wind turbine cluster utilizing key features affecting power outputs of wind turbines in combination with a linear time-invariant dynamic model for the wind turbines.

A first aspect of the invention provides a method of controlling a rotor of a wind turbine, the method comprising: obtaining a determination of whether there is ice on the rotor; obtaining one or more factors; generating an ice likelihood based on the obtained one or more factors, wherein the ice likelihood is indicative of whether it is likely that ice is building up on the rotor or thawing on the rotor; generating a confidence level based on the determination and the ice likelihood, wherein the confidence level provides an indication of the confidence that the determination is true; and controlling the wind turbine based on the confidence level.

Provided is a multi-view fusion method for forecasting power of wind turbine group in an offshore wind farm including obtaining a feature vector, constructing a power relationship matrix and a graph matrix based on data of wind turbine group and a geographical position of each wind turbine, constructing a spatial graph embedding module, to embed the graph matrix into node spatial information and inter-graph node information, inputting an embedding information matrix to a cross-fusion convolution module, constructing a Chebyshev graph convolutional neural network to process the feature vector and a multi-view topology matrix, to enable the feature vector of each wind turbine to obtain effective weights of other wind turbine group, and finally screening, by a multi-timing gating module, a time sequence feature. In the method, structural features of the wind turbine group can be fully captured, and dynamic features of the wind turbine group can be fully captured.