620results about "Engine control parameters" patented technology

The invention provides a wind turbine generator array wake flow management method and system for Doppler laser wind measurement, and relates to the technical field of laser, and the method comprises the steps: collecting the real-time wind speed data, wind direction data and turbulence intensity data of each generator in the front and back direction through deploying a Doppler laser radar in a wind turbine generator array; establishing a wake flow influence model containing a wake flow influence coefficient, an attenuation coefficient and a diffusion coefficient based on the data, and calculating to obtain a wake flow influence range, loss power and a recovery distance; according to the method, the wind turbine generator array is cooperatively controlled, and the power generation efficiency of the wind turbine generator array is optimized by adjusting the yaw angle or the pitch angle of the upstream unit and the rotating speed of each unit. The wind speed data acquisition precision of the wind field is improved, the wake flow influence evaluation accuracy is enhanced, and the overall power generation efficiency of the wind field is remarkably improved.

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.

The invention provides a gust-oriented wind generating set anti-overspeed control method and device and a medium, and belongs to the field of wind generating set control. The method comprises the following steps: acquiring real-time wind speed data and generator speed data; determining whether to enter a gust mode of the wind generating set according to the real-time wind speed data; under the condition that the wind generating set enters the gust mode, the minimum pitch angle of operation of the wind generating set is adjusted to be the minimum pitch angle of operation of the gust mode; calculating generator speed acceleration according to the generator speed data; determining whether to enter an acceleration anti-overspeed control strategy according to the generator rotating speed data and the generator rotating speed acceleration; and under the condition that it is determined that the acceleration anti-overspeed control strategy is entered, the preset variable-pitch rate is superposed on the normal variable-pitch rate. The pitch angle of the wind generating set in operation is increased when the wind generating set enters the gust mode, so that the attack angle margin of the blade can be kept in a safe range, and after the acceleration overspeed prevention control strategy is entered, the preset variable pitch rate is superposed on the normal variable pitch rate.

Disclosed in the present application are a method, system and apparatus for temporarily replacing a faulty wind LiDAR. The system comprises: a detection module, used for analyzing output data of a radar, judging, on the basis of the analysis result, whether a LiDAR has had a fault, and if a fault has occurred, outputting logic 0, otherwise, outputting logic 1; a data prediction module, used for predicting five types of meteorological information the wind speed, wind direction, temperature, atmospheric pressure and humidity of wind farm on the basis of historical data and meteorological source data; and a data switching module, used for switching a data source from a simulation system data source to a wind LiDAR apparatus data source when the output logic changes from 0 to 1, switching the data source from the wind LiDAR apparatus data source to the simulation system data source when the logic value changes from 1 to 0, and maintaining an original state when the logic value remains unchanged. The present application can temporarily replace faulty wind LiDARs, thereby reducing the negative effects of wind LiDAR faults on assessment of wind farm output.

The invention relates to the field of wind power generation, and discloses a wind power generation control system and method. The data acquisition module is used for acquiring front three-dimensional wind field information detected by the laser radar, near-field wind speed and direction information measured by the ultrasonic sensor, regional wind regime data issued by the meteorological satellite and operation parameters of the wind generating set. According to the invention, through multi-source information fusion, wind regime accurate perception is realized, power generation stability is improved from the source, through multi-source fusion of the laser radar, the ultrasonic sensor and meteorological satellite data, a three-dimensional wind regime perception system is constructed, wind speed and wind direction changes can be predicted in advance, wind regime measurement errors are reduced, and power generation efficiency is improved. The problem of power generation fluctuation caused by wind energy intermittency is solved from the source, and accurate data support is provided for dynamic adjustment of the pitch angle.

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 embodiment of the invention discloses a fan control method, device and equipment based on laser radar and a medium. The method comprises the following steps: acquiring radar data corresponding to a plurality of distance sections of a laser radar; fan variable pitch data and fan yaw data are determined according to the radar data; and performing variable pitch control and yaw control on the fan of the laser radar based on the fan variable pitch data and the fan yaw data. According to the technical scheme, the fan variable pitch data and the fan yaw data influencing fan control are determined by using the radar data field output by the laser radar, so that the fan is controlled in an auxiliary manner, and the data efficiency is improved.

Wind turbine with adjustable rotor blade angle, characterized in that it comprises: a mounting assembly, the mounting assembly comprising a base (11), a sleeve (12) and a rotating drum (13), the sleeve (12) being mounted on the base (11) and the rotating drum (13) being rotatably mounted on the upper end of the sleeve (12); a plurality of rotor blade assemblies (2), the plurality of rotor blade assemblies (2) being arranged at intervals along the circumference of the rotating drum (13), one end of each rotor blade assembly (2) projecting into the rotating drum (13); an angle adjustment assembly, wherein the angle adjustment assembly comprises a wind speed detecting device (31), a drive mechanism and an angle adjustment mechanism (33), wherein the wind speed detection device (31) is arranged on the outer wall of the rotating drum (13), and wherein the drive mechanism is arranged in the mounting assembly and the wind speed detection device (31) is in signal communication with the drive mechanism, and wherein the angle adjustment mechanism (33) is arranged in the mounting assembly, the power input end of which is connected to the drive mechanism, while the power output end of which is connected to an end of the rotor blade assembly (2) that projects into the rotating drum (13).

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 wind field dynamic optimization method and system based on real-time data adaptive regulation and control, and relates to the technical field of wind field optimization, and the method comprises the steps: obtaining wind field environment data and wind turbine generator state data, mapping the data to a state space model, and carrying out the alignment in the same time step; the method comprises the following steps: constructing a wind field dynamic optimization target, calculating uncertainty, dynamic importance and a target collaborative contribution rate, constructing a fuzzy analytic hierarchy process matrix, solving to obtain a weight of the wind field dynamic optimization target, and constructing a dynamic optimization target function; constructing a wind field constraint, solving a dynamic optimization objective function, generating an optimal control parameter set, inputting a safety barrier function for verification, and performing dynamic optimization of the wind field after verification is passed. By constructing a wind field dynamic optimization target, power coordination optimization in the whole field range is achieved, and wake flow damage is reduced; a safety barrier function and a fault-tolerant control mechanism are introduced, and the overall optimization efficiency and reliability of the wind power plant are improved.

According to the laser radar complex working condition recognition-based load reduction control method for the wind turbine generator, a high-precision laser radar system is installed on the wind turbine generator, three-dimensional wind speed distribution in a wind field is monitored in real time, data are transmitted to a control system, and the real-time performance and accuracy of the data are ensured. Collected original data are preprocessed, a time sequence analysis method is adopted, the rules of wind speed and wind direction changing along with time are mined, and key features of sudden wind speed change and rapid wind direction change are captured. According to historical data, a fuzzy logic rule is defined, and various complex working conditions are accurately described. And designing an adaptive fuzzy logic controller (AFLC), and when the AFLC recognizes a complex working condition, immediately starting load reduction control logic to adjust operation parameters of the wind turbine generator. Meanwhile, the AFLC dynamically adjusts the load reduction threshold value according to the wind field condition, and it is ensured that complex working condition changes are responded in time. In the load reduction control process, the control effect is evaluated, and a fuzzy rule and a membership function in the AFLC are optimized according to the control effect.

The invention discloses a wind power plant yaw control method and device and a storage medium. The method comprises the steps that unit information in a wind power plant is obtained, and a wake flow model is determined; collecting wind speed and wind direction information in real time; all the wind turbine generators adopt a wind facing strategy; when the wind direction change exceeds a preset threshold value, determining a yaw path enabling the yaw distance of the wind turbine generator to wind again to be the shortest; the maximum yaw range of the wind turbine generator is determined, and the yaw constraint range is determined in combination with the shortest yaw path facing wind again; obtaining a yaw sequence of each wind turbine generator of the wind power plant through a wake flow model by taking the optimal overall generating capacity of the wind power plant as a target within the yaw constraint range; according to the yaw sequence, executing a yaw action on each wind turbine generator set; and continuing to monitor the wind direction change and executing the subsequent steps. According to the method, the dramatic change degree of the yaw angle of the unit along with the wind direction can be obviously reduced, so that the yaw fatigue load of the unit is reduced, and the reliability and durability of the unit are improved.

The present invention discloses a method and system for coordinated optimization of pitch control of an offshore wind farm, belonging to the technical field of wind power generation. It includes: obtaining power control signals and load reduction control signals of each wind turbine cluster; generating pitch control instructions based on the power control signal and load reduction control signal and transmitting them to the corresponding pitch action actuator for pitch control based on the preset optimal control target; the power control signal is determined by processing the wind turbine parameters and wind speed data of the offshore wind farm by the operation processing unit with the maximum output power of the offshore wind farm as the control target; the load reduction control signal is generated by the single-machine controller of the wind turbine cluster using the key features that affect the power output of the wind turbine, combined with the dynamic linear time-invariant model of the wind turbine. The coordinated control of the offshore wind farm is realized, while taking into account fatigue management and power optimization; the problem that the traditional wind turbine pitch control strategy is difficult to achieve coordinated control of the wind farm is overcome.

A computing system identifies a geographical region of interest. The computing system generates a background numerical weather prediction using a mesoscale numerical weather prediction model. The computing system identifies information associated with wind farms for inclusion in the geographical region of interest. For each wind farm, the computing system determines a wake effect of neighboring farms to the first wind farm by projecting wind deficits for the neighboring farms to generate a plurality of wake effects for the geographical region. The computing system generates an estimated power output for the wind farms in the geographical region of interest based on the plurality of wake effects.

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.

The invention discloses a fan blade forward and reverse rotation adjustment protection method and system under the environment of too large wind speed and wind sand. The system comprises a power source, a PLC control system, fan blades, a touch screen, a stepping motor, a closed-loop stepping driver, an integrated vibration transmitter and a wind speed sensor. Wind speed monitoring is carried out through a wind speed sensor, vibration monitoring is carried out on fan blades through an integrated vibration transmitter, the wind speed sensor and the integrated vibration transmitter are in signal transmission connection with a control system, and a closed-loop stepping driver of a stepping motor for driving the fan blades is in signal transmission connection with the control system. The control system sends out a pulse or a control signal to control the closed-loop stepping driver, and the closed-loop stepping driver drives the stepping motor to act so as to adjust forward and reverse rotation of the stepping motor in wind and sand environments. The environment state of the fan can be judged by detecting the wind speed and the wind and sand, so that the aim of protecting fan blades by adjusting the reverse rotation of the stepping motor in the wind and sand environment is achieved.

The invention discloses a resonance suppression method, device and equipment of a wind power tower and a storage medium, and relates to the technical field of vibration control of wind generating sets, and the resonance suppression method comprises the steps that in a target wind generating set, the energy proportion of a target frequency band is determined based on the three-axis acceleration; initial disturbance parameters are determined, and whether the disturbance mode serves as the operation mode of the wind power tower or not is determined according to the current average wind speed, the current impeller rotating speed and the target frequency band energy ratio; when the disturbance mode is used as the operation mode, the wind power tower is disturbed based on the initial disturbance parameters; in the disturbance process, the initial disturbance amplitude is adjusted, and the initial disturbance frequency is adjusted; and determining a target impeller rotating speed instruction based on the adjusted target disturbance amplitude, target disturbance frequency, disturbance phase and current power grid angular frequency, and suppressing a resonance phenomenon by using the target impeller rotating speed instruction. Therefore, the resonance suppression effect on the wind power tower can be improved.

The invention discloses a wind power generation system with a self-adaptive compensation function. The wind power generation system comprises a wind power generator, an energy storage device, a self-adaptive compensation controller and a power grid connection module, the self-adaptive compensation controller comprises a real-time monitoring module, a prediction analysis module, a self-adaptive compensation decision module and a control execution module, and the real-time monitoring module obtains operation parameters of the wind power generator and state parameters of the energy storage device; the predictive analysis module predicts and analyzes the wind power change trend and the power grid load demand, the self-adaptive compensation decision module generates control instructions of the wind driven generator and the energy storage device, the control execution module adjusts the operation state of the wind driven generator, and meanwhile the charging and discharging process of the energy storage device is controlled. By monitoring the states of the wind power and the power grid in real time, applying an intelligent algorithm to predict and analyze, and combining with an energy storage technology, self-adaptive compensation of wind power generation fluctuation is realized, the stability and reliability of wind power generation are improved, and adverse effects on the power grid are reduced.

The electro-mechanical actuator of a wind turbine is configured to be powered from a DC link intermediate circuit. A method for controlling the actuator includes: determining whether a voltage demand and a power demand for operating the electro-mechanical actuator at a specific operating point can be met by an output of a first converter. The first converter is connected to a supply grid and configured to provide a first voltage and a first power to the DC link intermediate circuit; and, when the voltage demand and the power demand cannot be met, triggering a boost mode of a second converter connected between the DC link intermediate circuit and an energy store. The boost mode is triggered to: boost the voltage at the DC link intermediate circuit to a second voltage; and, boost the power supply to the electro-mechanical actuator via the DC link intermediate circuit to a second power.

The invention relates to the technical field of wind driven generator control, aims to solve the problems that in the prior art, blades of a vertical-axis wind driven generator are fixed, the wind sweeping area is difficult to adjust, and the power generation efficiency is limited, and provides a control strategy of a vertical-axis wind driven generator. Establishing a control relation model of rated wind speed, current wind speed, fan rated rotating speed, first generator rotating speed, positive and negative motor rotating speed and rotating direction. The current wind speed and the rotating speed of the generator are acquired by the sensor, and the controller compares the current, rated and maximum power wind speed according to a model, controls the positive and negative motor to drive the lifting mechanism and adjusts the blade length and the wind sweeping area. The wind wheel has the beneficial effects that the wind sweeping area of the wind wheel can be changed by controlling the lengths of the blades at different wind speeds, continuous and stable power generation is achieved, and the power generation efficiency can be effectively improved.

The invention discloses an integrated planning control method for dynamic stability of a floating wind turbine generator, which comprises the following steps of: accessing an integrated planner outside a controller, and cooperatively and dynamically adjusting core control parameters of three sub-control systems, namely blade pitch control, generator torque control and cabin yaw control; a planner based on a nonlinear dynamics mathematical model can be adopted to dynamically adjust controller parameters to realize comprehensive optimization of a dynamic stable target. Under the condition that an existing floating type wind turbine generator industrial controller architecture is not changed, by dynamically adjusting a series of core control parameters of the industrial controller, comprehensive improvement of the dynamic stability of operation of the floating type wind turbine generator is achieved, movement of a floating body platform-supporting structure is restrained, wind wheel rotating speed / active power fluctuation is reduced, and the wind turbine generator industrial controller architecture is optimized. And the operation stability and the high energy efficiency of the floating type wind turbine generator are improved, and important engineering application value is achieved.

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 hybrid power generation system according to an embodiment of the present invention includes: a blade provided on a vertical shaft to reduce noise and vibration during rotation; a wind collecting duct increasing speed of wind and rotating the blade at a high speed to improve efficiency of wind energy; a wind collecting room provided in the blade to increase a rotational force and efficiency of wind energy; a photovoltaic module concentration device driving a wind inducing rotation motor provided in the wind collecting duct to rotate a wind inducing rotation blade with solar energy to increase wind and forcibly discharge the wind into a blade wind collecting room of a turbine module to increase an amount of power generation even when wind does not blow, and technologies based on Internet of Things (IoT) and Artificial Intelligence (AI), such as a camera, a fire detection sensor, a drone, and the like that can reduce a risk of breakdown of the system and operate efficiently.

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 clearance control method comprises the steps that in response to the situation that the current clearance of the wind generating set is smaller than a safe clearance threshold value, the rotation direction of an impeller of the wind generating set is determined; the yaw direction is determined according to the rotation direction of the impeller, and the yaw rate is determined according to the clearance information of the wind generating set; and the wind generating set is controlled to perform yaw enabling the impeller to incline upwards according to the yaw direction and the yaw rate, so that the clearance of the wind generating set is improved.

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 application provides a method, apparatus and electronic device for monitoring tower clearance. The method for monitoring tower clearance includes: obtaining a distance to an obstacle measured by a laser ranging device; calculating a measured clearance value of each laser based on a first distance of the laser; compensating the measured clearance value of each laser by a preset compensation formula to obtain a compensated clearance value of the laser; comparing a minimum compensated clearance value among N lasers with a preset clearance threshold; and performing safety protection for the wind turbine based on a comparison result.

The invention discloses a control method, device and system of a wind turbine generator, a medium and a product, and belongs to the technical field of wind power generation. The method comprises the steps of obtaining the wind speed of an area where a wind turbine generator is located in a first time period; determining the operation condition of the wind turbine generator according to the wind speed; and under the condition that the operation condition is the target condition and the self-protection function of the wind turbine generator is closed, the self-protection function of the wind turbine generator is started, and the wind turbine generator is controlled to execute a first control strategy. Namely, the complex condition of the unit can be automatically recognized according to the wind speed of the area where the unit is located, the self-protection function of the unit is automatically started under the condition that the unit is in the complex condition and the self-protection function of the unit is closed, and the unit is controlled to execute the first control strategy. Therefore, under the condition that the safety of the unit is ensured, the shutdown frequency is reduced, and the generating capacity is improved.

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.