20results about How to "Reduce fatigue load" patented technology

The invention relates to a multi-machine cooperative yaw control method and device considering a dynamic wind direction and a medium. The multi-machine cooperative yaw control method comprises the steps that S1, the dynamic relation between the wind direction and a wake flow area is established based on a Gaussian-curl hybrid model; s2, constructing a single-machine yaw optimization model based on model predictive control, optimizing single-machine yaw by taking maximum generating capacity of a wind power plant and reduction of fatigue load as optimization objectives, and obtaining a single-machine optimal yaw angle through rolling optimization and feedback correction; and S3, a serial optimization method is adopted to carry out multi-round iterative optimization on one fan by one fan, and an optimal multi-fan cooperative yaw control result is obtained. Compared with the prior art, the method has the advantages that higher total generating capacity and more balanced fatigue load can be realized, so that the whole wind power plant reaches the optimal state of power and load in a large range.

The invention provides a layered optimization scheduling method and system for a wind power cluster and a medium, and relates to the technical field of power system optimization scheduling, and the method comprises the steps: determining evaluation indexes, obtaining the variable weight of each evaluation index, employing a membership function and a fuzzy comprehensive evaluation method, and obtaining the variable weight of each evaluation index; obtaining a membership score of each wind power plant of the wind power cluster under each evaluation index, and obtaining a comprehensive degradation score of each wind power plant; taking the ultra-short-term power predicted value of the wind power plant as the basis for judging the power change trend of the wind power plant, determining the climbing classification of the wind power plant, and determining the scheduling sequence of the wind power plant; on the premise that the power balance constraint between the wind power plants is met, the total output power of all the wind power plants is adjusted and controlled in real time according to the dispatching requirement for power increasing or power reducing of the wind power cluster and based on the dispatching sequence of the wind power plants of all the wind power plant groups. According to the method, the time-varying property and uncertainty of the wind power plant are fully considered, and the fatigue and fluctuation conditions of the whole wind power cluster are reduced.

The invention provides a variable pitch control method and system of a wind generating set and the wind generating set. The variable pitch control method comprises the steps that wind speed data at the wind coming side of an impeller of the wind generating set and at the position away from the impeller by a preset distance in the current control period are determined; determining an estimated pitch angle of the current control period based on the wind speed data of the current control period; comparing the estimated pitch angle of the current control period with the reference pitch angle of the previous control period, and taking the comparison result as the reference pitch angle of the current control period; and on the basis of the reference pitch angle of the current control period, blade pitch variation of the wind generating set is controlled. According to the variable pitch control method of the wind generating set and the wind generating set, the problem that the reduction effect of the fatigue load of the whole machine is poor due to control hysteresis is solved, blade variable pitch can be controlled in advance, and the limit load and the fatigue load of the whole machine are better reduced.

The invention discloses an offshore foundation platform for relieving tendon fatigue load of a tension leg and an adjusting method. An offshore foundation platform for relieving tendon fatigue loads of tension legs comprises a platform body, a tension leg system and a driver. The platform body is provided with a cavity and floats on the sea surface; the tension leg system comprises a plurality of tension legs and a suction barrel, one end of each tension leg is connected with the platform body, and the suction barrel is arranged on the seabed and connected with the other end of each tension leg; the driver is provided with a water inlet and a water outlet, the driver is a water pump, the water inlet of the water pump is immersed below the liquid level of the seawater, the water outlet of the water pump is communicated with the cavity, and the driver is used for pumping the seawater into the cavity or pumping the seawater out of the cavity. The stability and safety of the platform can be improved, the fatigue load of the tendons of the tension legs can be relieved, and the service life of the tendons of the tension legs can be prolonged under the excitation of a complex marine environment.

The invention relates to a flexible vibration self-adaption wind turbine blade which comprises a blade body, the rear edge of the blade body is flexibly connected with a flap through an inflatable expansion body, and inflatable cavities are formed in the positions, on the two sides of a chord line, of the expansion body. The chambers located on the two sides of the chord line swing along with the flap to change the compression degree so as to adjust the counter-acting force of the expansion body on the flap in a self-adaptive mode, and the flap angle between the blade body and the flap tends to be stable. The device is simple and compact in structure, light in self weight, high in strength, foldable and rapid to mount; when the blade works and the wind power is large, the flexible structure is affected by the wind power and can be bent upwards, and the stability of the whole blade is guaranteed. When the wind power is reduced, the flexible structure is affected by the pressure difference of the two air chambers and can be bent downwards, the operation efficiency of the blade at the low wind speed can be improved, and the effects of increasing efficiency and expanding stability are achieved.

The invention discloses a fan wide-area operation control method for parallel optimization of fatigue load and power tracking, and aims to realize fatigue load optimization of a tower and a shaft system and meet power control requirements in a rated operation state. The method utilizes a model predictive control architecture and comprises the following steps: firstly, establishing a model according to dynamic characteristics of a fan; secondly, linearization is carried out on steady-state operation working points of the fan, and a linearization model library is established; then, considering power tracking and load suppression performance under a single working point, and establishing a controller library; and finally, designing a soft switching parallel control strategy based on a membership function and a controller library, and adapting to the characteristic of a wide operation interval of the wind driven generator. According to the method, fan fatigue load and power tracking instability are effectively reduced in parallel.

The invention discloses a wind storage fuzzy control frequency modulation method considering a fatigue load of a transmission shaft, and the method comprises the following steps: 1, building a dynamic model of a wind turbine generator set by considering the dynamic characteristics and frequency response behaviors of the wind turbine generator set; 2, analyzing the influence of the primary frequency modulation of the wind turbine generator on the fatigue load of the transmission shaft based on the participation of the wind turbine generator in the primary frequency modulation process; 3, analyzing operation characteristics of the wind turbine generator set under different working conditions, and dividing a generator rotating speed area; and 4, constructing a super capacitor energy storage model, designing a wind storage combined primary frequency modulation control strategy based on fuzzy control according to the operation conditions of the wind turbine generator at different wind speeds, performing frequency response by using super capacitor energy storage, improving the system stability and reducing the fatigue load of the generator. The method provided by the invention is obviously superior to a traditional wind power primary frequency modulation method in the aspects of reducing frequency deviation and reducing fatigue load.

The utility model relates to the technical field of power generation equipment, and provides a passive variable pitch system for blades. The blade passive variable pitch system comprises a rotating assembly and a blade body, the rotating assembly comprises a main shaft, an elastic piece and a fixing base, the fixing base is used for being arranged on a hub assembly, a cavity is formed in the fixing base, and part of the main shaft is rotationally arranged in the cavity; the main shaft is sleeved with the elastic piece, one end of the elastic piece is connected with the fixing base, the other end of the elastic piece is connected with the blade body so that the blade body can twist relative to the fixing base, and a sealing piece is arranged on the main shaft and makes contact with the side wall of the cavity. According to the blade passive variable pitch system provided by the invention, when the blade main body faces water flows with different flow speeds, the blade main body can be passively twisted relative to the fixed seat so as to stabilize output, dynamic sealing between the main shaft and the fixed seat can also be realized, the sizes of the sealing element and the main shaft can be reduced according to actual requirements, and the reliability of dynamic sealing is ensured.

The invention discloses a wind turbine generator set active power support method, device and equipment considering a generator set operation state, and relates to the field of wind turbine generator sets and new energy grid connection, and the method comprises the steps: constructing an operation state space model of a target wind turbine generator set; constructing an output equation based on the coupling relationship between the active power output of the operation state space model and the torque fluctuation of the transmission chain; constructing an operation constraint condition; based on the operation constraint condition, constructing a target function with wind turbine generator active power tracking deviation minimization, shafting fatigue load minimization and frequency modulation capability maximization as targets; and based on the real-time operation state data of the target wind turbine generator, adopting a multivariable coordinated optimization method to solve the target function to obtain control parameters for performing operation control on the target wind turbine generator, and adopting the control parameters to perform operation control on the target wind turbine generator. The method can improve the operation stability of the wind turbine generator.

The application belongs to the technical field of offshore wind power generation, and discloses a floating wind turbine mooring positioning method, a mooring positioning system and electronic equipment. The floating wind turbine mooring positioning method obtains the measurement data of wind speed and wind direction and the position information of wind turbine layout, then constructs a mooring system model of the wind turbine to obtain the maximum length and the minimum length of the mooring line; then the genetic algorithm is used to iteratively process multiple design parameters while keeping other parameters unchanged to obtain the optimized position coordinates of the wind turbine, thereby creating a mooring system design database, and according to the established wake model of the floating offshore wind farm, the power generation capacity of each wind turbine and the position information of the layout are calculated according to the offset of the position of each wind turbine until the position information of the layout with the minimum wake loss of the floating offshore wind farm and the maximum power generation capacity of the wind farm is found, which is beneficial to improve the output power of the wind farm and reduce the fatigue load of the wind turbine.

The present invention provides a virtual laser radar system and method based on mutual early warning of wind turbines, including: a wind farm deployment data module, which obtains the front and back relationship of wind turbines arranged at intervals in the main wind direction in the wind farm; a wind speed transfer characteristic module, which obtains the transfer characteristic of the wind speed in the main wind direction in the area where the wind farm is located; a wind farm operation data module, which obtains the actual operation data of the wind farm; and a neural network module, which captures the wind speed relationship between wind turbines according to the front and back relationship of wind turbines arranged at intervals in the main wind direction in the wind farm, the transfer characteristic of the wind speed in the main wind direction, and the wind farm operation data, so as to replace the physical laser radar to predict gusts.

The present invention relates to a ship model experiment damping calibration method based on a cylindrical FPSO, comprising the following steps: establishing a scaled model of a cylindrical FPSO; performing numerical simulation before the scaled model experiment to determine the sea conditions that need to be paid attention to when performing the scaled model experiment; performing a free decay experiment on the scaled model of the cylindrical FPSO to obtain the viscosity coefficient in the hydrodynamic analysis; performing an irregular wave experiment on the scaled model of the cylindrical FPSO; establishing a damping calibration model, comparing the results of the irregular wave experiment on the scaled model of the cylindrical FPSO, and selecting the damping suitable for different sea conditions. The method can calibrate the most suitable damping at the matching position according to the special structural properties of the cylindrical FPSO, so as to achieve the best match with the results of the scaled model experiment.

The application discloses a wind farm unit hybrid control method and device suitable for wake effect, comprehensively considers the influence of the wake effect in the wind farm, constructs a data-model hybrid control method, combines the advantages of model driving and data driving, optimizes control of the pitch angle of a wind turbine unit group and the torque of a generator, realizes reduction of the fatigue load of the unit group under the wake effect of the wind farm, and provides technical support for optimized operation of the wind farm.

The invention discloses a floating wind turbine device with a double-tendon coordination mechanism, wherein the double-tendon coordination mechanism comprises a double-tendon connection unit and two tendon coordination structures symmetrically arranged at both ends of the double-tendon connection unit; each tendon coordination structure comprises a side baffle, a coordination component, a first connecting pin, a first angle sensor, a second angle sensor, a second connecting pin, a connecting component, a spring hydraulic damping unit, a single-component force sensor, an adjusting angle wheel outer frame, an adjusting angle wheel and an adjusting motor; the invention introduces a double-tendon connection mechanism with a self-adjusting function to improve the synchronization ability of adjacent cable guide assemblies in the system and the stability of the TLP floating platform; the translational energy of the cable is converted into multi-directional rotational energy to release fatigue load, and the fatigue load of the cable is transmitted to the spring component in the spring hydraulic damping unit, and the cable can be adjusted through the perception of the single-component force sensor to achieve effective protection of the cable.

The application belongs to the field of control and energy, and particularly discloses a linear optimal output regulation control algorithm for a variable-speed wind turbine in a low wind speed area, which comprises the following steps: linearizing a nonlinear system of a transmission shaft model and a tower model of a wind turbine in a low wind speed area at an equilibrium operating point; constructing an external dynamic system capable of generating a disturbance wind speed signal and a linear wind turbine system controlled output tracking signal by using wind speed measurement data of a continuous wave laser radar; defining a controlled output tracking error, and designing an output regulation control rate containing feedforward and feedback control for the linear wind turbine system based on asymptotic convergence of the tracking error to zero; and obtaining a linear optimal output regulation control rate on the basis of the linear output regulation control rate by using coordinate transformation and minimizing a performance index function containing fatigue load.

The invention relates to the technical field of wind power generation, in particular to a tower front-back vibration resistance increasing method and device.The method comprises the steps that a nonlinear model is established based on a pre-established wind turbine generator considering tower front-back vibration, and an equivalent resistance increasing analysis result of a tower front-back vibration second-order dynamic equation is obtained; the tower vibration peak frequency at different rotating speeds is obtained according to the equivalent resistance increasing analysis result, so that the additional variable pitch rate used for tower resistance increasing is generated according to the tower vibration peak frequency, and vibration resistance increasing is conducted through the additional variable pitch rate. Therefore, the problems of inaccurate data transmission, high system complexity, insufficient algorithm adaptability, difficulty in implementation, high cost and the like due to sensor performance reduction caused by severe environment in related technologies are solved.

The invention relates to the field of wind power generation, in particular to a complex terrain wind power plant power and load collaborative optimization control method and system. Acquiring operation data and environment data of the target wind power plant in real time; constructing a multi-fan wake flow influence evaluation model of the target wind power plant based on the environmental data; establishing a multi-objective optimization function by taking the maximization of the total generated power of the wind power plant as a first optimization objective and the minimization of the load of the key structural component of each wind turbine generator as a second optimization objective; on the basis of a multi-fan wake flow influence evaluation model, predicting equivalent input wind speeds of all the wind turbine generators under different control strategies; according to the method, maximization of the total generated power of the wind power plant and minimization of the loads of key structural components of all wind turbine generators serve as optimization objectives, a multi-objective optimization function is established, it is guaranteed that the generating capacity is improved, meanwhile, the fatigue loads of a tower, blades and other components can be reduced, the service life of a draught fan is prolonged, and the operation and maintenance cost is reduced; and the operation safety and economy of the wind power plant are improved.

This invention relates to the field of machining technology, specifically to a multi-stage buffering fixture for clamping the shaft of a heavy workpiece. The fixture includes a support plate and two clamping jaws. The two jaws jointly clamp the main shaft of the workpiece. A first support point is located near the center of each jaw, and a second support point is located between the first support point and the rotating shaft. A limiting groove is formed on the support plate, and the shaft is movably disposed within the limiting groove. Hydraulic rods providing hydraulic support are connected to both ends of the shaft. A buffering mechanism is provided on the outer wall of the support plate, with its elastic movable end abutting against the second support point of the clamping jaws. Through the coordinated operation of the hydraulic rods and the buffering mechanism on the support plate, when the heavy workpiece falls, its deceleration and stopping time is greatly extended, thereby transforming the instantaneous rigid impact into a controllable buffering process, fundamentally avoiding permanent deformation or damage to the fixture structure caused by the enormous impact force.

The present invention provides a blade and a wind turbine generator set. The blade includes: a pressure surface shell and a suction surface shell; a web, which is supported between the pressure surface shell and the suction surface shell along the span direction of the blade, and divides the inner cavity of the blade into a front cavity located at the leading edge side and a rear cavity located at the trailing edge side; at least one front cavity airbag and at least one rear cavity airbag, the at least one front cavity airbag is arranged in the front cavity and fits the inner surface of the front cavity, and the at least one rear cavity airbag is arranged in the rear cavity and fits the inner surface of the rear cavity; an automatic inflation device, which automatically inflates the at least one front cavity airbag and the at least one rear cavity airbag. According to the present invention, the structural damping of the blade in low-order modes and high-order modes can be improved at the same time.

The invention discloses a wind turbine airfoil robust anti-interference damping control method based on an RBDE algorithm, and the method comprises the steps: building a wind turbine airfoil nonlinear vibration model based on a miniature control surface through a wind turbine airfoil aeroelastic model and wind tunnel experiment data; a two-degree-of-freedom internal model control method is utilized to construct a vibration reduction controller K (s) of the wind turbine airfoil; based on the vibration reduction controller K (s) and an LADRC control method, designing a vibration reduction controller Gc (s) of the wind turbine airfoil; designing a driving compensator utau, and combining the driving compensator utau with a vibration reduction controller Gc (s) to obtain a controller g of the wind turbine airfoil; and performing optimization solution on control parameters in the controller g by using an RBDE algorithm. According to the RBDE algorithm provided by the invention, the global search capability of the optimal control parameters is remarkably improved, and the effectiveness and robustness of the set parameters are improved; according to the method, the anti-interference capacity, the vibration reduction control effect and the driving compensation capacity of the wind turbine airfoil under the large-range continuous gust are effectively improved.