478results about "Engine control parameters" 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.

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.

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 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 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.

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 embodiment of the invention provides a wind turbine generator blade clearance control system and method. The system comprises a strain measurement module which comprises a plurality of optical fiber strain sensors arranged on the inner surface of a wind turbine generator blade at intervals and is used for measuring the strain of the blade; the distance calculation module is used for calculating a predicted distance between the tip of the blade and the tower according to the strain of the blade, the current azimuth angle of the blade, the rotating speed of a wind wheel, the wind speed, the static distance between the tip of the blade and the tower, the length of the blade and the pitch angle of a cabin; the interference judgment module is used for judging whether the blade and the tower drum have interference risks or not according to the predicted distance; and the variable pitch control module is used for carrying out independent variable pitch control adjustment on the pitch angle of the blade when the interference risk exists between the blade and the tower drum. The embodiment of the invention is not influenced by environmental factors, and has the capability of protecting the blades from interference with the tower drum in all-weather operation; the independent variable pitch is used for achieving blade clearance protection control, and the generating capacity loss can be effectively reduced.

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.

A method for controlling a wind turbine to decrease blade deflection during tower passage is disclosed. A blade flap moment of the wind turbine blades is measured. A blade flap moment of the wind turbine blades and a rotor tilt moment in a situation where the pitch offset has not been added are estimated, based on the measured blade flap moment. In the case that the estimated blade flap moment exceeds a first activation threshold value and the estimated rotor tilt moment exceeds a second activation threshold value, individual pitch angle adjustment of the wind turbine blades is initiated by adding a pitch offset, at azimuth angles within an azimuth adjustment region corresponding to tower passage of the wind turbine blades.

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 invention provides an offshore wind power control system based on disturbance observation and global fast integral sliding mode, including an offshore wind turbine, a doubly-fed induction generator, an optimal angular velocity tracking module, and a global fast integral sliding mode control module; the offshore wind turbine is used to convert the captured offshore wind energy into mechanical energy; the doubly-fed induction generator is used to convert mechanical energy into electrical energy; the maximum power point tracking module is used to calculate the variant power coefficient curve at the current moment considering unknown errors; based on the variant power coefficient curve, a disturbance tracking strategy is adopted to calculate the optimal angular velocity; the global fast integral sliding mode control module is used to control the current by adopting a PI control strategy. In the outer loop controller, a sliding mode surface function is set and a global fast control law is adopted for control to quickly adjust to the optimal angular velocity.

The method is for operating a wind turbine having a wind turbine component and a setting system for executing at least two different measures for reducing the likelihood of overloading the component. First trigger information is provided, which is representative of whether the likelihood of overloading the wind turbine component exceeds a first threshold. If this is the case, a first output signal is generated which is configured to cause the setting system to execute a first measure for reducing the likelihood of overloading the wind turbine component. Second trigger information is provided which is representative of whether the likelihood of overloading the wind turbine component exceeds a second threshold after the first measure was executed. If so, a second output signal is generated which is configured to cause the setting system to execute a second measure for reducing the likelihood of overloading the wind turbine component.