52 results about "Wind resource assessment" patented technology

The invention discloses a wind resource assessment method based on numerical weather prediction and the computational fluid dynamics. According to the method, area wind speed situations of a wind power plant in a selected year are simulated in a numerical weather prediction model, so that numerical weather prediction results comprising wind speed and wind direction time variation sequences of the wind power plant are obtained; one or more wind speed and wind direction time variation sequences are selected from the numerical weather prediction results and input in CFD software of the computational fluid dynamics, and wind resource situations of the whole wind power plant can calculated and obtained. Compared with a method of combining a meso-scale numerical model and a micro-scale numerical model, the wind resource assessment method achieves more accurate physical solution and calculation of the wind power plant on a micro level, and meanwhile the effects on wind speed attenuation or turbulence from complex terrain and wake effects are considered. Compared with wind resource assessment conducted through the CFD software only, the method can provide input of more result points of the CFD software by being combined with results of the numerical weather prediction model.

The invention discloses a multi-wavelength-beam-combination coherent Doppler laser wind measurement radar, which comprises a multi-wavelength laser light source module, a radar transmit-receive optical antenna module and a signal reception and processing module. The multi-wavelength laser light source module comprises a narrow linewidth seed light source outputting linear polarization continuous laser, an electro-optic waveguide phase modulator connected with the output end of the narrow linewidth seed light source and loaded with modulation signals and bias voltage, a fiber beam splitter connected with the output end of the electro-optic waveguide phase modulator, and an acousto-optic modulator connected with one output end of the fiber beam splitter and loaded with pulse chopping signals. The multi-wavelength-beam-combination coherent Doppler laser wind measurement radar improves laser emission power and increases echo signal-to-noise ratio, and is suitable for the application fields of meteorological monitoring, aviation safety early warning and wind energy resource assessment and the like.

The present invention discloses a meteorological data processing method and apparatus. The processing method comprises: obtaining mesoscale meteorological data, wherein the mesoscale meteorological data is obtained by performing assimilation and numerical simulation on measured data; determining a simulation area corresponding to a target area based on grid distribution of the mesoscale meteorological data, wherein the simulation area comprises a plurality of grid data of the mesoscale meteorological data; performing grouping on the plurality of grid data according to a time parameter and a wind direction parameter of the plurality of grid data, so as to obtain a plurality of grid sets; and collecting statistics on an atmospheric boundary layer parameter corresponding to each grid set, wherein the atmospheric boundary layer parameter comprises at least one of a planetary boundary layer height, a planetary boundary layer wind speed, and a Mourning-Obukhov length. According to the processing method disclosed by the present invention, a technical problem is solved that inaccuracy exists in generating a parameter of a boundary condition by merely subjective setting in a current CFD wind resource assessment technology.

The invention provides an offshore wind resource assessment method based on a Monte Carlo operation and maintenance simulation model. The method comprises the following steps that research-stage data of an offshore wind power farm is obtained; vertical change rule and day and night change rule of the wind speed are researched; a stormy wave coupling empirical formula of the lowest square error is selected; the annual average fault rate of an aerogenerator to be used is calculated; the time limit of simulation operation, the distance between an operation center and the wind farm and the candidate parameter of approach technology are input; algorithm parameters are initialized; the wind speed, effective wave height and fault random number that satisfy distribution characteristic of each time are generated; generated faults are arranged in a fault preparation queue; preparation time for fault processing is generated, and faults prepared to be completed are arranged in a fault maintenance queue; the time window of the current data is calculated, the feasibility and validity of offshore maintenance are determined, and faults in an optimal scheme are placed in an offshore queue; generating capacity loss in the offshore queue is calculated and stored, and the faults are removed from the offshore queue; the networking electric quantity of the operation aerogenerator in the current data is calculated, and increment is implemented in the current date; and when the current data equals an operation year, the networking electric quality and the total loss of electric quantity are calculated.

A wireless meteorological data monitoring device for a wind farm relates to a meteorological data monitoring device, which solves the problems of low reliability, large error and high price of the monitoring device. The data collected and output by the data acquisition module of the present invention is transmitted to the data processing module through the ZigBee wireless transmission module. The advantages of the present invention are that the ultra-low power consumption MCU is used to make the power consumption of the device very low; the use of a hot film wind sensor makes the device high in precision, low in cost, good in durability, strong in adapting to the environment, and wide in application temperature range; adopting Zigbee wireless The transmission module solves the problem of wired transmission of the device, reduces the size and quality of the device, and saves the cost of wind resource assessment and manpower input in the early stage.

The invention discloses a wind resource assessment method based on an optimization time window. The method includes the following steps of 1, extracting data, wherein local wind speed data information is extracted, original data is verified and corrected, and a series of continuous wind speed data at equal time intervals is obtained and serves as a sample time series of a model; 2, calculating the wind speed significance period, wherein the significance period of the wind speed under different time scales is calculated with the wavelet transformation technology and serves as a new time window for wind resource assessment; 3, determining the optimal time window, wherein fitting of the Weibull function is carried out under a traditional time window and the new time window, obtained through calculation in the step 2, with the wind speed periodicity considered, the goodness of fit of the two windows is compared, the difference value of the fit average wind speed and the actual average wind speed is obtained, and thus the better time window is selected; 4, calculating wind resource characteristic indexes, wherein the indexes of local wind resource characteristics are calculated under the time window selected in the step 3 and include the average wind speed, the wind speed distribution parameter, the wind shear index and the wind power density, and a wind profile, a wind direction rose and a wind energy rose are drawn.

The invention discloses an SVR-based method for estimating an effective wind speed of a low-wind-speed section of a wind power generating unit. The method comprises the two steps of SVR model training and model online use. In the SVR model training process, a sensor is used to obtain a training characteristic set and a target set; the characteristic set is normalized to obtain an SVR training set; a PSO algorithm is used to select a penalty parameter and a kernel function parameter; and a trained effective wind speed estimation model is obtained. In the model online use process, output data of the unit is obtained in real time and is normalized and input to a trained SVR model, and after the data passes through a low-pass filter, a final effective wind speed estimation value is obtained. According to the method, the output data of the unit is fully utilized; effective wind speed estimation can be performed for the wind power unit of the low-wind-speed section; the design process is simple and easy to implement; and the obtained effective wind speed estimation value can be used for increasing wind energy utilization rate of the unit and reducing mechanical loads of the unit and wind resource assessment of a wind power plant, so that the economic benefits of the wind power plant are improved.

The present invention relates to a wind direction data interpolation method. The method can automatically select a time window for interpolation according to the missing condition of to-be-interpolated wind direction data so as to ensure the relationship between auxiliary interpolation wind direction data and to-be-interpolated wind direction data. Meanwhile, through the transformation of a trigonometric function, the characteristics of wind direction data are better utilized, namely the annular effect of wind direction data. According to the technical scheme of the invention, wind direction data can be more effectively interpolated, so that obtained wind direction data are better in integrity and accuracy. Therefore, the method provides a better data support for the wind resource assessment.

The present invention provides a wind resource assessment method, device and system based on terrain classification, wherein the wind resource assessment method based on terrain classification includes: obtaining each The terrain data of the monitoring points; according to the terrain data of each monitoring point in each area to be detected, the terrain type of each area to be detected is obtained; according to the terrain type of each area to be detected and the wind condition of each area to be detected Data, to establish the corresponding relationship between the terrain type of each area to be detected and the wind condition data; according to the corresponding relationship, the wind resource assessment of the plot to be evaluated is carried out. The wind farm terrain classification processing method provided by the invention can improve the accuracy of wind resource assessment and wind farm site selection.

The invention provides a micrositing evaluation method and device for a wind power plant and a computer readable storage medium. The method comprises the following steps: establishing a database; performing wind resource classification according to the wind data of the different areas in the database to obtain wind resource types of the different areas; according to the wind resource types of the different areas and the database, matching wind generating set types for the different areas; receiving externally input project information of a wind power plant which is subjected to micrositing at present; according to the geographic position information, the geographic environment data of the different areas and the wind resource types of the different areas, determining the wind resource type of the wind power plant which is subjected to micro-siting at present; according to the wind resource type of the wind power plant currently subjected to micro-siting and a preset formula library, determining parameters of a CFD model of the wind power plant currently subjected to micro-siting, and storing project information of wind power plants historically subjected to micro-siting in different areas and corresponding parameters of the CFD model in the formula library. The accuracy of wind resource evaluation is improved.

The invention discloses a wind resource assessment method and system. The wind resource assessment method comprises the following steps of: S1, obtaining the wind speed data of all the detection points in sequence, wherein the process of obtaining the wind speed data of one detection point at each time comprises the following steps of: S11, synchronously detecting the detection point through multiple scanning laser radars so as to respectively obtain corresponding wind speed components, wherein the wind speed components are components of the wind speed data of the detection point on the laseremission directions of the scanning laser radars, and S12, carrying out calculation according to the wind speed components of the detection point so as to obtain the wind speed data of the detection point; and S2, constructing a 3D wind resource map of a wind power plant according to the wind speed data of all the detection points. According to the method and system, the wind speed information isacquired by adoption of the plurality of scanning laser radars, so that high-precision assessment for the wind resources of complex-terrain wind power plants fluctuating on wind speed time and space is realized.

The invention provides an offshore wind profile model based on a neutral equivalent wind speed, and the model comprises the steps: firstly inputting two height layer wind speeds, temperatures, a 10-meter height wind speed and a hub height, calculating the roughness, then calculating the Moom length, and then obtaining an equivalent wind speed u1n based on a neutral state, and obtaining ex-thrust hub height wind speed. The offshore wind profile model based on the neutral equivalent wind speed, provided by the invention, is obtained based on the influence of factors such as the wind shear index, the atmospheric stability and the turbulence intensity on the offshore wind resources.Compared with a traditional extrapolation method, the annual average wind speed and the wind power density of the hub height obtained by the model are closer to measured values, the wind speed root mean square error and the average absolute error are 0.43 m/s and 0.28 m/s respectively, the influence of sea surface dynamic roughness and atmospheric stability changes on offshore wind speed vertical distribution is effectively reflected, the defects of a traditional wind shear formula are overcome, and a basis is provided for offshore wind resource evaluation and early-stage planning of an offshore wind plant.

The invention relates to a wind resource assessment method and a wind resource assessment system. The wind resource assessment method include: judging whether a format of original input wind measuring data is an NRC (new radiance group) output format of a wind measuring device or not, judging whether the format of the original input wind measuring data is matched with a preset data format or not, taking corresponding actions according to the judging result to obtain various parameters required for assessing wind energy resources; acquiring each assessment factor and corresponding standard assessment information of each assessment factor, and establishing a fuzzy relation matrix and an assessment factor weight matrix according to the assessment factors, the corresponding standard assessment information of each assessment factor and the parameters required for assessing wind energy resources; obtaining a wind resource grade assessment result via fuzzy variation according to the fuzzy relation matrix and the assessment factor weight matrix. Since the wind resource assessment method does not direct at a specific data format, convenience of the wind resource assessment is improved. Since the wind resource grade is assessed according to the principle of fuzzy mathematics, rationality and scientificity of the wind resource grading are improved.

A meteorological station historical wind speed and wind direction correction method comprises the following steps: 1) selecting a meteorological station near a wind power plant development site to be subjected to wind resource evaluation, and collecting wind speed and wind direction observation data of the meteorological station in recent years; 2) carrying out trend analysis on the collected historical year-by-year average wind speed time sequence of the meteorological station, and judging whether the historical year-by-year average wind speed time sequence has a non-periodic significant change trend or not; analyzing a collected historical year-by-year dominant wind direction time sequence observed by the weather station, judging whether irreversible wind direction deflection occurs at certain time points or not, and judging whether the weather station is considered to be influenced by the surrounding environment or not; and 3) aiming at the weather station which is temporarily judged to be influenced, collecting satellite remote sensing image data in recent several years of the area where the weather station is located, preprocessing the original image data, and converting the preprocessed satellite remote sensing image into vector information.

The invention discloses a wind resource assessment system combined with quality control. The wind resource assessment system comprises a data acquisition device, a quality control device and a resource assessment device which are sequentially connected; the data acquisition device is used for acquiring wind resource data and transmitting the acquired wind resource data to the quality control device; the quality control device is used for performing consistency checking and screening on the wind resource data acquired by the data acquisition device and transmitting the screened wind resource data to the resource evaluation device; and the resource assessment device is used for generating a wind resource assessment report according to the screened wind resource data. The system has the advantages that the data acquired by the data acquisition device comprises the topographic elements of the position, and the acquired data is screened by the quality control device and then is transmittedto the resource evaluation device for evaluation, so that the accuracy of wind resource evaluation is effectively improved, and more comprehensive and effective scientific basis is provided for finalsite selection of the anemometer tower and the wind power plant.

The invention discloses a wind resource assessment method. The method comprises the following steps of acquiring wind data measured by a wind measurement tower; using a preset model to effectively detect the wind data, preprocessing the wind data and generating a wind measurement report; according to the wind measurement report and a weight value of a preset parameter, simulating wind resource distribution of a wind power plant and generating a wind resource analysis report; acquiring map data and preprocessing the map data; and according to the wind resource analysis report, the preprocessedmap data and a preset principle, generating a microscopic site selection scheme report. By using the wind resource assessment method, difficulty of wind resource assessment work is reduced, and efficiency and accuracy of the wind resource assessment work are increased. The invention also discloses a wind resource assessment system, and a computer readable storage medium, and the system and the medium can be used to realize the above technical effects.

The invention discloses a real-time wind resource visual evaluation method, system and device for an in-service mountain wind power plant and a storage medium. The method comprises the steps: obtaining the spatial position and real-time wind direction and wind speed data of existing wind measurement equipment of the in-service mountain wind power plant; in the wind resource off-line data set, finding related wind speed data under the corresponding wind direction sector; performing on-line calculation on the wind vector of the corresponding terrain clearance layer by using an internal interpolation method to obtain the current wind resource distribution of the whole wind power plant; and carrying out real-time wind resource evaluation on the in-service mountain wind power plant in a visual map form. According to the method, on the basis of the wind resource off-line data set, the evaluation thought of wind direction sector classification and wind speed interpolation is carried out in combination with field wind measurement data, on-line calculation with long working hours is avoided while the simulation precision is guaranteed, configuration of software and hardware resources in an operation and maintenance system is saved, visual output of the whole field real-time wind resources is achieved, and a theoretical reference and a data analysis basis are provided for wind turbine generator energy efficiency evaluation.

The invention provides a method and a device for determining wind resources. The method for determining the wind resources comprises the following steps: determining an atmospheric stability index ofa target area; obtaining a plurality of atmospheric stability index sequences corresponding to a plurality of coordinate points in the target area, wherein each sequence comprises a plurality of atmospheric stability index values corresponding to the corresponding coordinate points within a predetermined period of time; determining available atmospheric stability index values in the plurality of atmospheric stability index sequences; dividing atmospheric stability levels based on the available atmospheric stability index values; and determining wind resources of the target area based on the divided atmospheric stability level. According to the method and the device for determining the wind resource, the wind power plant is divided into different regions through the accurately divided atmospheric stability level, and wind power plant wind resource assessment is carried out for different regions, so that the accuracy of wind power plant wind resource assessment can be effectively improved.

The invention discloses a wind speed prediction method using an MCP based on average wind speed correction, and solves the problem that the uncertainty of an evaluation result is relatively large due to the fact that the MCP method in the prior art cannot give consideration to both the generating capacity and the average wind speed during wind measurement data processing. The method comprises the following steps of: S1, processing used wind speed data; S2, inferring to obtain complete wind measurement data of a target station by using a piecewise linear fitting method, and taking the complete wind measurement data as a wind speed reference time sequence V1; S3, inferring by using a Weibull fitting method to obtain complete wind measurement data of the target station, and taking the complete wind measurement data as a wind frequency reference time sequence V2; and S4, correcting the average wind speed according to the wind speed reference time sequence V1 and the wind frequency reference time sequence V2 to obtain a final predicted wind speed time sequence V. A scientific and accurate method for obtaining complete wind measurement data is provided for wind resource assessment of a distributed project, the uncertainty of traditional assessment is reduced, the assessment precision is improved, the calculation process is simple, and the method is suitable for daily business use.

The invention discloses a mobile multifunctional wind measurement parameter intelligent monitoring system and method. The system comprises a parameter detection sensor module, a data acquisition module, a data communication module, a parameter monitoring module, a portable movable bracket, a storage battery, a solar panel and a power source controller; the portable movable bracket is used for fixedly mounting the parameter detection sensor module, the data acquisition module, the data communication module and a power supply module; the portable movable bracket can stretch and contract within acertain range; the data acquisition module is used for acquiring the detection values of the parameter detection sensor module; and the parameter monitoring module is responsible for the real-time display of monitoring results, warning and historical data archiving. The mobile multifunctional wind measurement parameter intelligent monitoring system and method of the invention have the advantagesof reasonable design, simplicity in use, operation and connection, good use effect and flexible monitoring mode. With the mobile multifunctional wind measurement parameter intelligent monitoring system and method of the invention adopted, monitored wind measurement parameters can be monitored in real time; supplementary data can be provided for wind power prediction; and a basis can be provided for wind resource assessment and special weather analysis.

The invention discloses an offshore wind energy resource assessment method based on multi-source remote sensing satellite wind speed correction. The method includes a first step of collecting and sorting long-time sequence multi-source satellite remote sensing wind field data sets (QuikSCAT, WindSAT and ASCAT); a second step of collecting and sorting a global oceanographic buoy data set that matches the space-time of satellite data; a third step of correcting the satellite wind speed by using a linear relationship between the buoy wind speed and the satellite wind speed; a fourth step of determining, according to the international and national standards for wind power generation, remote sensing assessment indicators for offshore wind energy resources; and a fifth step of calculating and comparing wind energy resource assessment results for different satellite combinations and the corresponding buoys. The method in the invention is conducive to the establishment of offshore wind energyresource survey methods based on satellite remote sensing data and provides low-cost and reliable data sources and assessment methods for offshore wind energy resource surveys.