325results about "Engine control parameters" patented technology

The invention discloses a wind power generation device and a wind power generation control method.The wind power generation device comprises a supporting column, a sensor and a wind power generation mechanism, the wind power generation mechanism comprises a generator and a fan blade set, the wind power generation device further comprises a speed reduction mechanism, the speed reduction mechanism is electrically connected with a control system, and the sensor is electrically connected with the control system; when the sensor detects that the external wind speed reaches the first preset value, the control system controls the speed reduction mechanism to blow air to the fan blade set, speed reduction is conducted through blowing, a braking speed reduction structure does not need to be additionally installed between the blades and the generator, and therefore mechanical abrasion and maintenance cost are reduced; a complicated mechanical braking speed reduction structure is not arranged, so that the design of the wind driven generator is simpler, the weight is lighter, and the installation and the maintenance are more convenient; and mechanical parts are reduced, so that the reliability of the whole system is improved, potential fault points are reduced, and the service life of the wind driven generator is prolonged.

The invention discloses a wind turbine generator self-adaptive control method, medium and system based on environmental turbulence, and the method comprises the steps: S1, collecting the power of a generator and the current pitch angle in the normal operation process of a wind turbine generator; s2, estimating the real-time wind speed based on the power of the generator and the inherent parameters of the unit; s3, calculating real-time environmental turbulence intensity according to the real-time estimated wind speed; s4, inputting the real-time environmental turbulence intensity and the current pitch angle into a fuzzy controller, and calculating a variable pitch control parameter coefficient according to a preset fuzzy rule; and S5, based on the variable-pitch control parameter coefficient, the variable-pitch control parameter is adjusted to carry out variable-pitch control, and self-adaptive stable operation of the unit is achieved. According to the method, no hardware needs to be additionally installed, unit load impact and rotating speed fluctuation caused by large turbulence can be effectively restrained, and on the premise that it is ensured that the limit load of key components does not exceed the limit, the operation stability of the unit is improved, the power generation loss is reduced, and cost reduction, efficiency improvement and safe and stable operation are achieved.

The invention discloses a cooperative yaw optimization control method and system for a wind power plant group, and relates to the technical field of wind turbine generator control, and the method comprises the steps: obtaining the wind speed, wind direction and turbulence intensity of the wind power plant group and the fan power of each fan, and inputting the wind speed, wind direction, turbulence intensity and fan power of each fan into a target wake flow model, and outputting a wake flow propagation influence relation in the simulated wind power plant, determining a target yaw deviation angle of each fan according to a preset period based on the wake flow propagation influence relation and the position of each fan in the wind power plant group, and adjusting the yaw angle of each fan in the wind power plant group according to the target yaw deviation angle. In this way, the adverse effect of the wake flow of the upstream draught fan on the downstream draught fan can be effectively weakened, and the overall power generation efficiency of the whole wind power plant group is improved.

A method for optimizing control of a wind turbine includes receiving, via a control system, a condition of the wind turbine. The method also includes estimating a current state of the wind turbine using the condition. The method further includes calculating, via a model implemented by the control system, a linearized representation of operation of the wind turbine for a future time interval after the current state. The method further includes defining an optimization problem to be solved. The method also includes determining a pitch adjustment factor for modifying a current state of the wind turbine. The method further includes calculating, via the optimization solver, an optimized pitch parameter of a rotor blade of the wind turbine. The method also includes adjusting a pitch parameter of the rotor blade to an optimized pitch parameter to improve the control.

A method for damping drivetrain vibrations of a wind turbine. The drivetrain has, at least, a rotor and a generator. The method includes receiving a first rotational speed signal at a first location along the drivetrain, the first rotational speed signal being a proxy for rotor speed of the rotor. The method also includes receiving a second rotational speed signal at a second location along the drivetrain, the second location being downwind from the first location, the second rotational speed signal being a proxy for generator speed of the generator. Further, the method includes determining a speed error based on a comparison of the first and second rotational speed signals. Moreover, the method includes determining a torque deviation signal for the wind turbine configured to dampen the drivetrain vibrations when the speed error exceeds a first speed threshold. In addition, the method includes applying the torque deviation signal to the generator to dampen the drivetrain vibrations.

The invention relates to the field of service life prolonging control, and discloses a reinforcement learning-based self-adaptive service life prolonging control method for a wind turbine generator, which is used for providing a reliable technical means for prolonging the service life of the wind turbine generator. Comprising the steps of collecting a unit operation state and key component health parameters, and generating multi-dimensional state information; establishing a damage evolution model, predicting the residual life and generating a health degree index; designing a multi-objective optimization strategy, and solving to generate a cooperative control instruction; after the instruction is executed, the model and the strategy are dynamically updated based on unit state feedback, and a closed-loop control system is formed. The service life of the wind turbine generator is effectively prolonged.

The invention aims to provide the clearance distance signal extraction and safety control method based on the laser radar, which is accurate in signal identification, clear in computational logic and efficient in closed loop control. The method comprises the following steps: a, fixing a laser radar system below a cabin of the wind driven generator; b, measuring the distance from the laser radar unit to a target point at the tail end of the blade by adopting a flight time principle; c, a data processing unit of the fan receives measurement data of the multiple laser radar units, an effective blade reflection signal is recognized through a signal aggregation statistical method, and the clearance distance between the blade and the tower is calculated according to the reflection signal; d, the clearance distance data between the blades and the tower is monitored in real time, and the optimal pitch angle adjustment amount is calculated through a fan control system in combination with the wind speed and rotor rotating speed parameters; and e, dynamically adjusting the pitch angle of the blade through a variable pitch execution mechanism of the fan. The method is applied to the technical field of laser radars.

The invention discloses a wind power system cooperative power smoothing method based on rotor kinetic energy storage and variable pitch, belongs to the technical field of wind power, and solves the technical problem that in a full-wind-speed operation range, a traditional variable coefficient control method based on the rotating speed is difficult to accurately respond to wind speed changes after variable pitch control is introduced. According to the technical scheme, the method comprises the following steps that S1, according to the rotor kinetic energy principle, an active reference value of a given fan power controller is determined so as to smooth wind power fluctuation, that is, a filter GLF is cascaded after traditional maximum power tracking control reference power; s2, on the basis of power smoothing under the full wind speed, model-free self-adaptive variable pitch control is introduced, and control over the output power and the rotating speed of the draught fan in the full wind speed interval is achieved; and S3, considering the cooperative control of the kinetic energy and the variable pitch of the rotor under the full wind speed, adopting a fuzzy variable filter coefficient strategy based on wind speed estimation, and remarkably improving the power smoothing effect under the full wind speed through real-time control of the filter coefficient.

The application provides a wind turbine array wake management method and system based on Doppler laser wind measurement, relates to the field of laser technology, and comprises the following steps: deploying a Doppler laser radar in a wind turbine array, collecting real-time wind speed data, wind direction data and turbulence intensity data in front and back directions of each wind turbine; establishing a wake influence model containing a wake influence coefficient, a decay coefficient and a diffusion coefficient based on the data, and calculating a wake influence range, a loss power and a recovery distance; and accordingly, the wind turbine array is controlled in coordination, the yaw angle or the pitch angle of the upstream wind turbine and the rotating speed of each wind turbine are adjusted, and the power generation efficiency of the wind turbine array is optimized. The application improves the wind speed data collection accuracy of the wind field, enhances the accuracy of the wake influence evaluation, and significantly improves the overall power generation efficiency of the wind field.

The invention discloses a self-adaptive control method and system for a wind generating set in a low voltage ride through process, and the method comprises the steps: S1, collecting the operation data of the wind generating set in real time, the operation data comprising the rotating speed of a generator and a low voltage ride through process flag bit; s2, judging whether the flag bit in the low-voltage ride-through process is true or not; if so, switching the unit control system from a conventional power generation control mode to a low voltage ride through control mode; otherwise, maintaining the unit in the conventional power generation control mode; in the low-voltage ride-through control mode, transmission chain resistance-increasing self-adaptive control, variable-pitch response self-adaptive control and advanced variable-pitch self-adaptive control are executed in parallel; and S3, according to the final resistance increasing torque, the superposed variable pitch rate and the self-adaptive advanced variable pitch value, comprehensive control over the unit is executed. On the premise that blade clearance and load safety are ensured, unit power fluctuation in the low-voltage ride-through process can be reduced, and unit operation stability and safety are improved.

The invention relates to the field of efficiency optimization, and discloses a wind turbine generator power generation efficiency optimization method and system based on wind direction and wind speed monitoring, which are used for realizing long-term stable and efficient operation of a wind turbine generator. Comprising the following steps: acquiring an original wind speed and wind direction sequence by using a sensor, generating an enhanced standardized wind speed sequence containing turbulence intensity characteristics and a standardized wind direction sequence containing variable quantity characteristics through calculation, outputting a standardized wind speed and wind direction prediction sequence, and combining turbulence intensity correction to improve prediction precision and practicability. A continuous differentiable energy capture efficiency curved surface is constructed, a yaw angle instruction sequence and a pitch angle instruction sequence are obtained through analysis in the gradient direction of the curved surface, global optimization control is achieved, and instructions can be dynamically adjusted to adapt to wind regime changes. According to the method, the fan wind power efficiency evaluation report can be generated, and the power generation efficiency is optimized according to the fan wind power efficiency evaluation report.

The invention provides a wind power plant active power distribution method based on a fatigue load, belongs to the technical field of wind power control, and solves the technical problem that the fatigue load of a wind turbine generator is sharply increased in the process that a wind power plant participates in frequency modulation. According to the technical scheme, the method comprises the following steps that a state-space equation is constructed according to a wind turbine generator dynamical model and a transmission chain model; establishing a fatigue load model of the wind turbine generator, discretizing the state-space equation by a sampling period based on model predictive control MPC, collecting a pitch angle, a rotating speed, a wind speed and a currently sent active power output value of each wind turbine generator, and calculating fatigue information of each wind turbine generator; and performing optimal distribution of the active power by combining the fatigue information of each wind turbine generator set, the superposed frequency modulation active power, the optimization target and the constraint condition. While the frequency modulation requirement of the wind power plant is met, the technical problem that the fatigue load of the wind turbine generator is sharply increased is solved, and long-term stable operation of the wind turbine generator is ensured.

The invention discloses a wind turbine generator independent variable pitch control method embedded with wind speed self-adaptive predictive control, which belongs to the field of wind power, and comprises the following steps: establishing a mathematical model of a large wind turbine generator independent variable pitch system; establishing a mathematical model of a self-adaptive model prediction controller; establishing a mathematical model of a linear processor; and based on the established adaptive model prediction controller, taking a pitch angle signal as the input of a variable pitch system, and carrying out independent variable pitch control on the wind turbine generator. The linear processor is used for limiting the upper and lower output bounds of the signals, the variable pitch signals are dispersed into a plurality of signals to be output in one communication period, and the frequency transformation and amplitude fluctuation of the signals are reduced, so that the fatigue loss of a driving mechanism is reduced, the blade load reduction effect is improved, and the real-time change characteristic of the system is coped with through the wind speed self-adaption criterion. The problem of model mismatching caused by wind speed changes is solved, the performance of the controller is improved, and the method is suitable for systems with high control performance requirements and parameter changes.

The present application belongs to the technical field of blade clearance protection, and particularly relates to a wind turbine generator unit blade clearance protection system and method. The technical scheme is as follows: a wind turbine generator unit blade clearance protection system, comprising a clearance protection control box and a blade tip deformation alarm sensor, the blade tip deformation alarm sensor is arranged corresponding to the blade tip of a fan, the blade tip deformation alarm sensor is electrically connected with the clearance protection control box, a fan control system and a wireless receiver are further installed on the fan, the clearance protection control box is in communication connection with the wireless receiver, and the wireless receiver is electrically connected with the fan control system. The present application provides a wind turbine generator unit blade clearance protection system and method for measuring whether the blade clearance is within a safe range by using a deformation switch sensor.

The invention relates to the technical field of vertical axis wind turbines, in particular to a vertical axis wind turbine based on the Magnus effect, and aims to solve the technical problem that an existing lift force type vertical axis wind turbine is difficult to start in a breeze environment. To this end, the Magnus effect-based vertical axis wind turbine of the present application comprises: a vertical axis; the at least three lifting force blades and the at least three Magnus rotors are connected to the vertical shaft; the driving assembly is used for driving the Magnus rotor; and the control module is electrically connected with the driving assembly and used for controlling starting and stopping of the driving assembly according to the actual wind condition so as to drive the Magnus rotor to rotate, and after the Magnus rotor rotates, the lifting force blades continuously capture wind energy to maintain operation of the vertical axis wind turbine. In this way, the defects that a lift type vertical axis fan is small in starting torque and difficult to start are overcome, and normal starting of the lift type vertical axis fan under the breeze condition is achieved.

A method for optimizing performance of a wind farm having at least one wind turbine includes maneuvering a first unmanned aerial vehicle (UAV) having at least one sensor to a first location near the at least one wind turbine of the wind farm; collecting, via the at least one sensor of the first UAV, data corresponding to one or more wind conditions at the at least one wind turbine; receiving the data corresponding to the one or more wind conditions at the at least one wind turbine via a controller; generating a control action for the at least one wind turbine using the data corresponding to the one or more wind condition at the at least one wind turbine; and implementing, via the controller, the control action.

The wind turbine generator power optimization control method comprises the steps of collecting operation data of a wind turbine generator; the rotating speed of the generator is compared with the cut-in rotating speed and the rated rotating speed, and the running state of the wind turbine generator is divided into a standby state, a maximum power tracking area and a constant power control area; in the maximum power tracking area, based on the rotating speed and power change relation of the previous control period and the current control period, a first torque instruction is generated through dynamic step length tentative logic; in the constant power control area, the power upper limit set value is adjusted to generate a second torque instruction based on comparison between the state parameters of the generator and the converter and the preset temperature boundary; when the vibration amplitude enters the early warning interval, avoiding adjustment is executed in combination with the rotating speed or the variable pitch rate of the generator to generate a third torque instruction; and taking the minimum value of the torque instruction meeting the boundary constraint as a final control instruction. Under the condition that a complex mathematical formula and an AI model are not used, the thermal capacity margin and the mechanical vibration margin of the unit are used for dynamically adjusting a power output target, and the potential power generation capacity of the excavator unit is guaranteed under the condition that safety is guaranteed.

A power generation system (100) includes a rotating body (1), a generator (3), a brake circuit (4), a voltage sensor (VS), and a control device (5). When rotation speed of the rotating body (1) exceeds a first threshold (L), the control device (5) executes a brake operation by the brake circuit (4). When a release condition determined based on at least one of a value of a generated voltage detected by the voltage sensor (VS) and the rotation speed of the rotating body (1) is satisfied after the rotation speed of the rotating body (1) is lower than the first threshold (L), the control device (5) stops the brake operation by the brake circuit (4).

The application discloses a tower clearance monitoring method and device and electronic equipment. The tower clearance monitoring method comprises the following steps: obtaining the distance between the laser ranging device and the shelter; wherein the laser ranging device is used to emit N laser beams at different fixed angles towards the blade tip plane, and the distance between the laser ranging device and the shelter is measured by laser measurement, and the first distance measured by each laser beam is obtained, N is a positive integer greater than 1; according to the first distance of each laser beam, the measured clearance value of the corresponding laser beam is calculated; the measured clearance value of each laser beam is compensated by a preset compensation formula to obtain a compensated clearance value; the smallest compensated clearance value in the N laser beams is compared with the preset clearance threshold; and the wind turbine is protected according to the comparison result. According to the embodiment of the application, the technical problem that the clearance value measured by laser monitoring clearance is not accurate in the related art can be solved.

The present disclosure provides a wind turbine group and a clearance protection method of the wind turbine group. The clearance protection method comprises: determining a first wind speed at a first position of an impeller of the wind turbine group and a second wind speed at a second position of the impeller based on measured wind speed data; determining a first cumulative amount of the first wind speed within a preset time period before reaching the impeller and determining a second cumulative amount of the second wind speed within the preset time period; determining a wind shear in a specific direction between the first position and the second position based on the first cumulative amount and the second cumulative amount; and performing clearance protection based on the wind shear. The clearance protection method of the wind turbine group and the wind turbine group according to the present disclosure solve the problem that the existing clearance protection scheme cannot effectively control the blade clearance in time due to hysteresis, and can take clearance protection in advance, so that the clearance protection control is more timely and effective.

A wind flow sensing system for determining turbulence of wind flow at different elevation sets above terrain is provided. The wind flow sensing system includes an input interface configured to receive, for a set of time steps, a set of measurements of radial velocity at a site line point above terrain for each elevation, and a processor configured to estimate a velocity field for each elevation based on data assimilation of the velocity field, estimate an unbiased horizontal velocity at each elevation for each time step, determine a mean of the unbiased horizontal velocity for a time period including the set of time steps, and determine turbulence based on the unbiased horizontal velocity for each time step and the mean of the unbiased horizontal velocity.

The present disclosure relates to a method of compensating for rotor imbalance of a wind turbine. The method includes receiving, via a processor of a controller of the wind turbine, a signal associated with an acceleration of the tower and a signal associated with a position of the rotor. The method also includes estimating a rotor imbalance based on a signal associated with the acceleration of the tower. The method further includes estimating a component of the rotor imbalance with respect to the rotor position via an adaptive filtering algorithm. The method further includes calculating a respective pitch angle offset of a rotor blade of the wind turbine based on the estimated component of the rotor imbalance. The method further includes adjusting the pitch angle of each of the rotor blades by a respective pitch angle offset, thereby reducing a first excitation amplitude disturbance with respect to acceleration of the tower.

The application provides a small wind turbine intelligent speed regulation control method, system and storage medium, and belongs to the field of wind turbine. The method comprises the following steps: determining the current wind condition according to the wind speed; in the case that the current wind condition is long-time strong wind condition, passive speed regulation is carried out through a passive speed regulation component to realize rapid wind avoidance; analyzing the reset torque borne by the tail rudder according to the tail rudder position; calculating the windward component of the wind wheel aerodynamic torque according to the reset torque; obtaining the variable pitch demand of the active speed regulation component according to the wind speed, the windward component of the wind wheel aerodynamic torque and the theoretical relationship curve of the pitch angle, and carrying out variable pitch until the wind turbine is in the windward state; collecting the corresponding relationship among the wind speed, the wind speed change rate, the pitch angle and the windward component of the wind wheel aerodynamic torque when the wind turbine is in the windward state, and generating an actual relationship curve of the wind speed, the wind wheel aerodynamic torque, the windward component and the pitch angle for iterating the theoretical relationship curve of the wind speed, the wind wheel aerodynamic torque, the windward component and the pitch angle.

The application relates to a wind turbine tip speed ratio control and simulation method with reference rotating speed correction, which comprises the following steps: obtaining a generator theoretical optimal rotating speed reference value based on real-time wind speed of a wind turbine and optimal tip speed ratio; inputting the generator theoretical optimal rotating speed reference value into a low-pass filter, obtaining a generator actual rotating speed reference value after filtering and limiting, constructing a rotating speed closed-loop control based on the generator actual rotating speed reference value and an actual rotating speed of the generator, calculating a generator torque reference value, and applying generator torque control based on the generator torque reference value. Compared with the prior art, the application can find a good balance among the three control targets of wind energy capture efficiency, active power fluctuation of a grid-connected unit and shaft torsional vibration load of the unit, and can adapt to performance degradation of the unit and changes of environmental air density without losing power generation when the conditions occur.

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 utility model belongs to the technical field of wind power generation equipment, and provides a wind power generator with a sail structure, which comprises a tower drum, a rotating cabin, a sail big arm, a mast and a sail, the rotating cabin is arranged at the top of the tower drum and is rotationally connected with the tower drum; the number of the sail large arms is m, the m sail large arms are evenly arranged around the rotating center line of the rotating cabin, the first ends of the sail large arms are fixedly connected with the rotating cabin, and the second ends of the sail large arms extend in the direction away from the rotating center line of the rotating cabin. The masts are in one-to-one correspondence with the sail big arms, the number of the masts is equal to that of the sail big arms, the first ends of the masts are fixedly connected with the second ends of the sail big arms, and the second ends extend in the longitudinal direction; the sails correspond to the masts one to one, the number of the sails is equal to that of the masts, and the sails are arranged on the masts. The sail-shaped wind driven generator is simple in structure, reasonable in design, large in generated power and low in manufacturing, transportation and installation cost.

Method for controlling a wind farm, each wind turbine having an operating point adjustable by an actuator: a) a determination by modeling of a region of space approximating the wake of each wind turbine for a misalignment angle (θ) and for a wind speed deficit threshold (δ), b) an identification, from the modeled wakes, of the wind turbines which are in the modeled wake of another wind turbine, then a storage of identification parameters linking each wind turbine to the wind turbine in the modeled wake of which it is, c) a taking into account of the identification parameters stored in step b) to group wind turbines into a plurality of sub-farms, d) a determination of at least one setpoint operating point, for the wind turbines of each sub-farm, by a method of optimizing the power generated by each sub-farm e) an application of said setpoint operating point to the wind turbines.

A method of damping motion of a wind turbine, the wind turbine comprising a rotor and a floating platform. A motion signal is generated which is indicative of a motion of the wind turbine. A wind direction signal is generated which is indicative of a wind direction relative to the floating platform. A damping signal is generated on the basis of the motion signal and the wind direction signal, and the motion of the wind turbine is damped on the basis of the damping signal, for instance by adjusting the pitch of the rotor blades. A phase of the damping signal may be controlled on the basis of the wind direction signal.

The invention discloses a vertical axis wind turbine blade structure, which relates to the field of wind power generation, and comprises a basic platform, a rotating rack, two blade bodies and two linear telescopic components, the rotating rack is rotatably mounted on the upper part of the basic platform, the bottom end of each blade body is hinged to the upper part of the rotating rack, and the two blade bodies are symmetrically arranged; the lower end of each linear telescopic component is hinged to the lower portion of the rotating rack, and the upper end of each linear telescopic component is hinged to the outer side of one blade body. According to the blade structure of the vertical-axis wind driven generator, the blade tip speed ratio and the sweeping area can be changed, the utilization hours of the wind driven generator are increased, and the survival wind speed of the wind driven generator is increased.