2415 results about "Wind field" patented technology

The invention provides a combined wind power prediction method suitable for a distributed wind power plant. The method comprises the following steps: step 1, acquiring data and pre-processing; step 2, utilizing a training sample set and a prediction sample set which are normalized to build a wind speed prediction model based on a radial basis function neural network and predict the wind speed and variation trend of distribution fans at the next moment; step 3, building a distributed wind power plant area CFD (computational fluid dynamics) model and externally deducing the prediction wind speed of each fan in the plant area according to factors such as the terrain, coarseness and wake current influence of a distributed wind field; step 4, acquiring the power data of an SCADA (supervisory control and data acquisition) system fan of the distributed wind field; and step 5, adopting correlation coefficients. The invention firstly provides a double-layer combined neural network to respectively predict the wind speed and power. Models are respectively built through adopting appropriate efficient neural network types, and improved particle swarm optimization with ideas of 'improvement', 'variation' and 'elimination' is additionally added to optimize the neural network, so that the speed and precision of modeling can be effectively improved, and the decoupling between wind speed and power is realized.

The invention discloses an online state monitoring and fault diagnosis system of a wind generator set. The system comprises four parts of a monitoring device, an upper computer, a central monitoring center and a remote diagnosis center, wherein the monitoring device is used for realizing signal acquisition and processing and communication with the upper computer; the upper computer is used for carrying out fine analysis on sample data and displaying various graph spectrums and fault analysis diagnosis and the like; the central monitoring center can monitor the state of fans in each wind fieldin a browsing manner; and the remote diagnosis center is used for periodically acquiring fan data of the wind field, periodically analyzing the state of the fans and carrying out fault analysis and location when alarming information sent by a certain fan is received.

The embodiments of the present invention disclose a method and apparatus for joint optimization of multi-UAV task assignment and path planning. The method comprises: obtaining the location information of a plurality of UAVs and a plurality of target points, the dispersion of groundspeed course angle, and motion parameters of each UAV and wind field; constructing an initial population based on the location information, the dispersion of groundspeed course angle and a preset genetic algorithm; determining the flight status of each UAV and the flight time taken by each UAV to complete a path segment of the corresponding Dubins flight path based on the initial population and the motion parameters, obtaining the total time taken by all the UAVs corresponding to each chromosome to complete the task based on the flight time of the path segment; and subjecting the chromosomes in the initial population to crossover and mutation based on the genetic algorithm and, when a predetermined number of iterations is reached, selecting the optimal Dubins flight path as the joint optimization result. In the embodiments of the present invention, the UAV flight path planning problem is combined with the actual flight environment of the UAV, so that the optimal flight path obtained is superior to the solution in which the UAV speed is constant.

The invention provides a wind-field power combination predicting method based on a fuzzy neural network and a support vector machine, which comprises the following steps of: acquiring and pre-processing data; setting up a fuzzy neural network model by using a normalized training sample set and a prediction sample set and predicting; setting up a support vector machine model and predicting; linearly combining the prediction results of the two algorithms to obtain a wind speed prediction value; and setting up a wind speed power expert table via historical data, and inquiring the expert table according to the predicted wind speed value so as to obtain a power prediction result. By the method provided by the invention, the short-term prediction of a wind speed sequence can be effectively realized, the power prediction precision is improved, and fewer computing resources are consumed.

The invention discloses a control simulation method for a near-space hypersonic aircraft. The method comprises the following steps of: (1) establishing a motion model of the aircraft under the condition of a variable wind field; (2) establishing a motor power model of the near-space hypersonic aircraft; (3) establishing a pneumatic parameter base and an engine parameter base related with the motion model and the power model; (4) designing an attitude steady tracking control law and a centre-of-gravity motion control law on the basis of the motion model according to different task requirements; and (5) calculating atmosphere data and wind field data in the current state in real time, calculating all states of the aircraft according to the atmosphere data and wind field data and the designed control law, and repeating the steps until the simulation is finished. In the method, a whole set of the motion model of the near-space hypersonic aircraft under the condition of the variable wind field is provided on the basis of fully analyzing dynamic and kinematic laws of the near-space hypersonic aircraft and by combining the actual conditions of the motor power model and the atmospheric wind field environment. The invention also discloses an aircraft-based control simulation platform.

The invention discloses a method for analyzing fluid dynamics and structural mechanics of wind generator blades, which comprises the following steps: combining CFD and CAE methods, determining each parameter of an impeller model by adopting the momentum blade element theory, designing an entity model of the blade, establishing a three-dimensional model of a windmill blade, a hub and a peripheral wind site based on a Gambit software platform, meshing the model by adopting a partial structuring method, setting a proper boundary condition, calculating the performance of a finite element based on a Fluent software platform, extracting the blade torsion and calculating the blade power and the blade efficiency, establishing a blade structural model based on an ansys software platform and meshing the blade structural model, applying load and restraint condition to the blade structural model, analyzing the mode of the blade structure, performing equal torque treatment for pressure distribution acquired by the Fluent software platform, applying pressure surface load to the ansys software platform, calculating the structural mechanics characteristics of the wind generator blades, and extracting blade deformation and stress distribution characteristics.

A method an apparatus of automatically controlling a wind turbine re provided. of: A time-series of measurement values of the aerodynamic flow property of the wind turbine rotor blade is determined; a predictive wind field model representing a structure of a wind field acting on the wind turbine rotor blade is generated based on the time-series of measurement values, and a control value is generated based on the wind-field model.

The invention discloses a thick paste quick-drying type weather-resistant and wear-resistant coating for wind turbine blades and a preparation method thereof, the coating takes poly-asparaginic acid ester and elastic resin-modified aliphatic isocyanate as base materials, a nano-material is adopted for being effectively bonded with a resin matrix, and appropriate auxiliaries and additives for enhancing the performances of the coating. The thickness of a film which is formed by the coating for the wind turbine blades once can achieve 300 mu m; furthermore, the drying speed is fast and the coating is less prone to bubbling; the weather resistance is excellent, and the coating has higher tensile strength and elongation at break, and prominent wear resistance and impact resistance; the performances of water resistance, chemical product resistance, wet heat resistance, salt mist resistance and high and low temperature resistance are excellent; and the coating has certain anti-pollution and anti-icing properties. The construction efficiency of the coating is high, the performances of the coating are particularly suitable for wind field environments in China, the service life of a unit can be prolonged and the maintenance cost can be reduced.

The invention discloses a wind power plant parameter identification and dynamic equivalence method based on operation data, comprising the following steps of a) performing recognition on wind generation set control model parameters based on testing data, b) combining with operation data and choosing characteristic variables reflecting the wind generation set and the wind power plant under influence and utilizing the improved fuzzy K average value dynamic clustering algorithm to perform cluster division, c) performing network simplification and parameter optimizing to obtain a wind power plant dynamic equivalence model based on global optimal position mutation particle swarm algorithm, and d) under disturbance input, comparing the wind power dynamic equivalence model with the detailed model dynamic respond to verify the validity of the equivalence model. The wind field dynamic equivalence model constructed by the invention can accurately reflect the dynamic characteristics of grid-connection points of the wind plant and have important construction application values, and can be used in the analysis of the stability of the double-fed wind power plant access power system and provide theory support for the programming and operation scheduling of the wind power plant power system.

The invention relates to a vector-field-based small-sized unmanned plane wind-field anti-interference self-adaptive control method, which relates to track design, establishment of track control vector field and design of slip-form variable structural controller of small-sized unmanned plane scientific research task. The motion of a small-sized unmanned plane is simplified to plane control and trans-lateral control through the plan of the scientific research task, the plane track plan is realized on the basis of a transitional connection point principle, and an expected complicated track is decomposed into a series of expected tracks consisting of circle arc sections with different circle centers and radiuses and straight sections; then a track control vector field of each expected track section is respectively established for the decomposed straight sectional expected track and the decomposed circle arc sectional expected track on the basis of the position error between the current position of the small-sized unmanned plane and the expected track; and the high-precision track control of the small-sized unmanned plane under the wind interference environment can be realized through the slip-form variable structure self-adaptive control method. The method has the advantages of good real-time performance, fast dynamic parameters, strong adaptability to the wind field interference and the like, and can be used for the high-precision control of the small-sized unmanned plane in a complicated environment.

The invention discloses a draught fan detection and diagnosis system, which is used for detection and fault diagnosis of a wind generating set; the detection and diagnosis system comprises a data acquisition module, a data transmission module, a data storage module, a data analysis and fault diagnosis module and a control and interaction module; the data analysis and fault diagnosis module is communicated with the data storage module and is used for analyzing variable data parameters and diagnosing the cause of the fault of a draught fan, the control and interaction module can realize data sharing with a control system of the draught fan or a central monitoring system in a wind field. The draught fan detection and diagnosis system can automatically diagnose the causes of common faults of the draught fan, shorten the maintenance cycle and reduce the maintenance cost.

The invention relates to a wind field visual display method based on a three-dimensional virtual globe. The wind field visual display method comprises the following steps of (1) automatic meteorological station data access, wherein automatic meteorological station data provided by the weather bureau serve as a data source of wind field data at a server side, and the automatic meteorological station data are imported at regular times in the data form meeting the NetCDF standard; (2) gridding of the wind field data, wherein the acquired automatic meteorological station data serve as discrete point data, and the server side conducts interpolation on the automatic meteorological station discrete point data according to a visual area covered with the wind field; (3) user interactive response, wherein a client side downloads the wind field grid data at specified time and in specified space from the server side according to user interactive operation; (4) wind filed visualization, wherein the client side drives a particle system according to the downloaded wind field grid data, and wind field visualization is achieved by controlling movement of the particles in three-dimensional space. The wind field visual display method based on the three-dimensional virtual globe is good in display effect, efficient to operate and high in instantaneity.

The invention relates to a power grid wind damage early warning system based on micro-landform wind field distribution and typhoon superimposed effect, belonging to the field of prevention, reduction and control of natural disaster for a power grid. The power grid wind damage early warning system comprises a weather data acquisition sub-system, a wind damage and wind speed forecasting computer sub-system, a power grid early warning information processing computer sub-system, a power grid wind damage estimation processing computer sub-system and an information issuing sub-system, and each above sub-system is orderly in signal electrical connections. The power grid wind damage early warning system is capable of acquiring timed weather data of meteorological stations in a region covered by the power grid, performing standard pretreatment, then, establishing a gale statistical diagnosis model and a numerical model by means of theory modeling and numerical simulation, analyzing influence degree of the gale on main lines, iron towers and transformer substations, and issuing a related gale early warning information report based on related rules for gale early warning grades, wherein the related rules are specified by the Meteorological Office. And the power grid wind damage early warning system has the advantages of high precision, excellent accuracy, quick real-time response speed and the like, and can provide decision support for gale damage prevention and power grid planning.

A wind generating set fault prediction method based on D-S evidence fusion is disclosed. In the method, for two kinds of signals, two support vector machines after parameter optimization are constructed, the two support vector machines are taken as two evidences, and after D-S fusion, a final prediction fault type is given. The method has advantages that (1) in a traditional vibration method, only a vibration signal is analyzed, and a neural network, a decision tree and other machine learning algorithm models are constructed according to a vibration energy characteristic vector; but the vibration signal is only observed so that some fault states can be misclassified, for instance, a bearing damage and rotor eccentricity can cause a vibration signal abnormity, and at this time, a current signal can be used to distinguish two kinds of fault states; and (2) a prediction model established in the method can be stored, historical data does not need to be repeatedly extracted and trained, and under a real-time prediction environment of a wind field, a prediction result can be quickly provided.

The invention discloses a method for distributing active power of a wind power station, comprises the steps of predicating the power information and classifying a wind power generating unit into five types according to the operating parameter and fault of the wind power station, combining with the unit classification and executing an increasing and decreasing power distribution strategy, thereby the distribution of the active power of the wind power station is optimized and the use ratio of the wind power unit is improved. As the factors of the unit, such as the actual operating state, parameter and fault are considered in the active power distribution method, the fluctuation of the output power of the wind power station is varied slowly and stable operation is achieved by reasonably distributing the power to the units according to the increasing and decreasing power adjusting ability of the unit, and the real-time output power of the wind power station reaches the setting value of the wind power station. At the same time, the declining power distributing strategy is divided into deep amplitude limit power distributing strategy and light amplitude limit power distributing strategy, thereby the declining power requirement is met in the distribution process, the frequent start or stop of the unit is avoided and reasonable operation of the unit is ensured.

The present invention relates to the aerial spray technology field, in particular to an unmanned gyroplane wind field electrostatic spraying device. The unmanned gyroplane wind field electrostatic spraying device comprises an unmanned gyroplane, an ultrasonic sensor arranged on the unmanned gyroplane and used for detecting the position data of crops, a laser sensor used for detecting the topographic data, a wind speed sensor used for measuring the wind field data under the unmanned gyroplane, an electrostatic sprayer used for carrying out the electrostatic spraying, and a controller used for receiving a signal and controlling the unmanned gyroplane. According to the present invention, the height of an airplane can be adjusted flexibly according to the topography, the relative distance with the crop canopy does not change, the spraying pressure and the droplet size are adjusted according to the wind field under the gyroplane, and the working precision of the aerial spray is improved effectively.

The invention discloses a solution method for independent and joint dispatching of a distribution network with micro-grids. The method comprises the following steps: establishing a model of the distribution network with the micro-grids; establishing an objective function for dispatching of the micro-grids and an objective function for dispatching of the distribution network; determining constraints for independent and joint dispatching of the micro-grids and the distribution network; and solving household microgrids and distribution network by a particle swarm optimization algorithm, and solving thermoelectric microgrids with a Benders decomposition method. In the household microgrids, the demand response is considered, and a load curve is optimized by a genetic algorithm. Aiming at the prediction error of wind power, a wind field model with three-parameter Weibull distribution is established. The method can be applied in the technical field of economic dispatching of a plurality of microgrids, and a plurality of stakeholders are satisfied on the premise of satisfying system constraints. The Benders decomposition method is used to solve a thermoelectric system, thereby effectivelyprotecting the privacy of the information of electric and thermal systems, and improving the accuracy of the calculation.

The invention discloses a capacity optimization and auxiliary peak regulation method for a regional wind power plant group energy storage power station. The method comprises the steps that 1, a BESS (battery energy storage station) composite function charging and discharging realizing method of wind power plant group power fluctuation stabilization and power network peak regulation is considered, and a capacity optimization calculating model is built by using the BESS operation cost minimization as a target; 2, the super-short-term wind power is utilized for predication, and a real-time optimization operation model is built by using the maximization of gains when the BESS synchronously participates in the power fluctuation stabilization and the power network peak regulation as a target; 3, the cost sharing and gain distribution mode and method of the BESS system operation are provided. Through the adoption of the technical scheme, an energy storage system with the configuration required by a regional wind power plant can be planned, the economic and reasonable energy storage capability is optimized and calculated, meanwhile, an prioritization scheme that the energy storage system participates in the power network peak regulation in an auxiliary way is provided, and the reasonable and efficient operation level of a regional wind field configuration energy storage system is improved.

The invention brings forward a pulse laser coherent wind measuring radar, for the purpose of providing a pulse laser coherent wind measuring radar which has the advantages of high measuring precision, simple structure and convenient installation and debugging. The pulse laser coherent wind measuring radar is realized through the following technical scheme: a fiber pulse laser emission system is taken as an emission source for generating two beams of laser, one beam of high repetition frequency pulse sequence laser for wind field detection is directly coupled through an optical circulator and enters an optical transmit-receive scanning system to perform collimated emission towards a target spatial domain, the optical circulator utilizes a polarization splitting characteristic to carry out isolation splitting on emission light and air aerosol scattering echo wave light, the air aerosol scattering echo wave light is selected to enter a fiber combiner, the other beam of laser, generated by the fiber pulse laser emission system, is taken as local oscillator light for inputting into a balance amplification photoelectric detector together with the echo wave light in a frequency mixing mode for optical amplification of a frequency mixing signal, through acquisition processing of a signal acquisition processor, the radial speed of each range gate in a current laser emission direction is calculated, and the radial speeds are transmitted to a radar operation display interface.

The invention provides a method for analyzing and designing a green building. In the method, a series of preliminary design conditions are provided for the design of the green building by computer-assisted design and multi-physical model analysis, and the optimal design conditions of the green building are obtained by weight calculation and analysis; based on the exterior environment of the building, weather conditions and various local renewable energy source conditions, the sorts and rules of available renewable resources can be obtained by establishing a sunlight analysis model, a wind field mathematic model, a noise physical model, a thermal conductivity effect analysis model, an interior daylight physical analysis model, a resource analysis model and the like, and inputting the basic data of rainfall, solar radiation intensity, wind speed, wind direction, geological exploration and the like; the feasibility of the utilization of geothermal resources and the renewable resources is obtained according to the calculation results of the resource analysis model; and on the basis of the feasibility, the final design of the shape of the green building is performed so as to provide boundary condition guide for the design of the green building.

A method of simulating wind field of extreme arid region based on WRF includes following steps. A mode parameter optimization scheme for wind energy simulation is selected, wherein the mode parameter optimization scheme is selected by selecting a group of mode parameter optimization schemes of different ground floors, land process, and planet boundary layers having great influence on simulation of the boundary layer of wind field, and comparing the mode parameter optimization schemes. A wind energy simulation of the extreme arid region is performed during a preset length of time using the selected mode parameter optimization scheme. Simulation configuration of the wind field for the extreme arid region is obtained through results of the wind energy simulation.

The invention provides a method for predicting tide-bound water level by combining a statistic model and a power model. The method comprises the following steps of obtaining a tidal harmonic constant; predicting the astronomical tide and water rising level; obtaining predicted tide-bound water level Ls based on the statistic model; calculating and obtaining predicted wind field results and open boundary conditions of the tide according to an atmosphere prediction model; taking the wind field results and the open boundary conditions as a forcing field; using an ocean dynamics model to calculate predicted tide-bound water level Lm containing the astronomical tide and the water rising level; establishing a best tide-bound water level prediction formula based on the veracity analysis on the prediction results of the two models under all time scale and meteorological condition; providing the prediction results on final tide-bound water level L; and displaying the prediction results in realtime by a visualized technology. The method organically couples with monitoring data of weather and sea level, the statistic prediction method of sea level values, an atmosphere and ocean dynamics model and a real-time visualized system so as to achieve the requirement of exactly and quickly predicting the tide-bound water level.

The invention relates to a real-time calibration high spectral resolution lidar device for measuring atmospheric wind field. The invention comprises a transmitting system composed of a pulse laser, a beam expander and a reflector, a receiving system composed of a telescope, optical filters, a molecular iodine filter, beam splitters and photoelectric detectors, a data acquisition system connected with the photoelectric detectors, and a data processing computer. The invention is characterized by also comprising two receiving channels of the rotational Raman, and the two receiving channels of the rotational Raman are connected in parallel by the beam splitters, extracts atmospheric molecule rotational Raman spectrum from the original detecting signal, and connected with the data acquisition system, the data acquisition system is connected with the data processing computer and transmits the acquired information to the data processing computer. The invention is characterized in that gasoloid relative concentration and atmospheric parameters are obtained from primary optical detection, and simultaneously wind speed refutation is carried out, measurement efficiency and measurement accuracy are improved with the wind speed measurement accuracy reaching 1m / s.

The invention discloses a self-adaptation system for detecting anti-wind capability of an unmanned plane. The self-adaptation system for detecting anti-wind capability of an unmanned plane includes a wind field analog apparatus and an anti-wind test system, wherein the wind field analog apparatus provides a wind field environment with changeable direction and wind speed for the anti-wind test system; the anti-wind test system includes an unmanned plane test mechanism and a control feedback system; the unmanned plane test mechanism includes a support frame for fixing an unmanned plane, a flexible mechanism which maintains the support frame to rotate freely, a mobile platform for bearing the flexible mechanism, and a support base for supporting the mobile platform; the control feedback system includes a control system, a wind speed feedback unit for detecting the real time wind speed, and an unmanned plane attitude and heading reference unit; and the control system receives the data from the wind speed feedback unit and the unmanned plane attitude and heading reference unit, and according to the real time detection wind speed and the detected flying state of the unmanned plane, changes the wind speed and wind direction provided by the wind field analog apparatus and determines the maximum wind speed which can be resisted by the unmanned plane.

The special point is the twin closed loop method for controlling rotary speed and power mutual independently. The control process includes 3 steps: during the original state, executes the power signal feedback control against the fan according to the original max power curve; during the smaller change of wind speed, executes mountain climbing method for controlling optimal power; via the rotary speed disturbance, obtains the max output power under the recent wind speed and the corresponding generator rotary speed. Then according to the original max power curve and the new added data points, obtains modified max power curve. During the larger change of wind speed, executes the power signal feedback control according to the mortified new max power curve. This method adapts the rapid change of the wind speed and is independent from the functions of the wind field and the fan. It can restrain the system disturb near the max power point effectively.

The invention discloses a method for acquiring a three-dimensional wind field by using a wind profiler radar. The method is characterized by comprising the following steps of: firstly, acquiring radar-based data by using the wind profiler radar; secondly, feeding the acquired data into a computer for preprocessing; thirdly, picking a spectrum center of each library by the preprocessed data near wave beam and the distance library and calculating parameters; and fourthly, generating a three-dimensional same field by adopting a defined amount synthesizing method according to the calculated parameters. The invention solves the problems that a power spectrum center cannot be picked correctly in the wind profiler radar wind field and also solves the problem of how to effectively synthesize the wind field. The invention greatly reduces the interference of the inversed wind field information by the outside, effectively improves the data acquisition rate and accuracy of the wind profiler radar, further plays the performance of the wind profiler radar and can be widely applied to wind profiler radar data processing software systems in a convection layer and a boundary layer.

The present invention relates to a wind power generation system. Said system is an array of a number of wind power generation units on the supporting tower, each wind power generation unit is formed by one vertical axis wind rotor and one or more power generation unit(s), in which the rotation shaft of the wind rotor is coupled with the rotor shaft of the single generator set through a connector, or the rotation shaft of the wind rotor is connected with the rotor shafts of multiple generator sets through the transmission mechanism. The present invention proposes a helical vertical axis wind rotor and a lineal vertical axis wind rotor constructed by the drag type blade and the lift type blade, and proposes a helical wind rotor with pure drag type blade as well as the disassembling and splicing design of the above wind rotor. The present invention is similar to a “building block” power generation unit whose design could be optimized according to the wind field to reach megawatts scale power output. Furthermore, by adjusting the number of the generator sets connected with the single wind rotor in the power generation unit, the starting load of the wind rotor can be lowered on the one hand, on the other hand this can load proper number of generator sets with small power by disengaging and engaging at real time according to the varying conditions of the wind speed. The manufacture, transportation, installation and maintenance of said power generation unit are relatively easier and it can resist larger wind disaster, thus being of higher safety.

The invention provides an HY-2 satellite scatterometer sea surface wind field retrieval method and device. The method comprises the steps of building a physical geography module function; setting a target function based on the physical geography module function; searching for the local maximal wind speed and wind direction of the target function for each wind vector unit, and taking the obtained wind speed and wind direction as ambiguity solutions of the current wind vector unit; selecting ambiguity solutions corresponding to two maximal target values from the ambiguity solutions of the current wind vector unit, respectively comparing the two ambiguity solutions with an NCEP (National Centers for Environmental Prediction) forecast wind direction, and taking the ambiguity solution which is closest to the NCEP forecast wind direction as the initial field of the current wind vector unit in the comparative results; taking initial fields of all wind vector units as an ambiguity solution initial field of circle median filter, and performing ambiguity solution removal operation to obtain real data of a sea surface wind field. The HY-2 satellite scatterometer sea surface wind field retrieval method and device are adaptive to the requirements of ambiguity solution removal needed by the scatterometer wind field inversion under various complex environmental conditions, and the forecast accuracy is improved.