315 results about "Wind resource" patented technology

The invention discloses a wind field wind resource fine simulation method, system and device based on WRF-CFD medium and micro-scale coupling and a storage medium, and belongs to the technical field of wind energy resource evaluation.The method comprises the steps that mesoscale meteorological analysis data is collected and calculated through a mesoscale WRF numerical simulation technology; performing fitting processing to obtain a fitting function between the wind speed component and the height; extracting wind speed contour information at a micro-scale modeling boundary based on the mesoscale meteorological analysis data and the fitting function, and determining a boundary condition of a micro-scale CFD model; performing directional calculation and correction on the wind speed of each sector by using a virtual anemometer tower; performing grid division on the wind power plant area to generate a refined grid corresponding to the wind power plant area; and driving numerical simulation of the micro-scale CFD model, and carrying out wind power plant regional range stroke resource evaluation. According to the method, the complex characteristics of the wind field can be comprehensively reflected, the wind resource evaluation precision and the calculation efficiency are remarkably improved, and the resource utilization is optimized.

A method, system, and device for wind speed prediction and layout optimization in wind power generation are provided. The method includes: obtaining a basic wind resource dataset of a target region; constructing a physics-informed neural network model based on the basic wind resource dataset; obtaining wind speeds data at a specific location in a velocity field based on the physics-informed neural networks and constructing a training dataset; training the physics-informed neural network model based on the training dataset; reconstructing a wind speed distribution within the velocity field and predicting wind speeds for a next time period with a wind farm using the trained physics-informed neural network model; and optimizing a layout of a wind turbine cluster based on a reconstructed wind speed distribution within the velocity field. The present application reconstructs a two-dimensional velocity field of the wind farm by training the PINN and enables accurate ultra-short-term wind speed prediction.

The invention relates to the technical field of wind power generation, and discloses a cross-scale wind power plant wind resource evaluation method based on a numerical mode, comprising the following steps: step 1, acquiring multi-source observation data of a target area; step 2, screening a WRF optimal configuration scheme adaptive to the regional terrain; step 3, through a WRF power downscaling method, generating annual scale wind resource data as initial wind resource data; 4, performing partition correction on the initial wind resource data to obtain wind measurement data; step 5, constructing a WRF-WFP model coupling the WRF mode and the wind power plant parameterized model; step 6, optimizing WRF lower boundary conditions; 7, simulating the atmospheric flow of the target area, and quantifying the wake flow evolution characteristics of the wind power plant; 8, constructing a wake flow analysis model; and step 9, formulating a collaborative productivity plan of the wind power plant group. The power generation capacity of the wind power plant to be developed can be accurately predicted, and a reliable basis is provided for scientific decision-making of resource distribution development and planning of the million-kilowatt wind power plant.

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 technical field of wind power plants, and provides a wind energy resource high-precision simulation method and system, and the method comprises the steps: obtaining geographic data, wind measurement data and mesoscale meteorological data of a target region; the method comprises the following steps: constructing a terrain model based on geographic data, dividing the terrain model into a plurality of sectors, and generating a wind profile as a boundary condition of each sector by using mesoscale meteorological data; the method comprises the following steps: selecting multiple groups of turbulence models based on mesoscale data and wind measurement data of a selected wind measurement tower, performing directional calculation in combination with boundary conditions, constructing a relationship between the selected wind measurement tower and a target wind measurement tower based on a directional calculation result, obtaining a simulation value of the target wind measurement tower through interpolation, and evaluating an error between the simulation value of the target wind measurement tower and the wind measurement data. Selecting an optimal turbulence model based on the error; and performing comprehensive calculation based on the wind measurement data and a directional calculation result corresponding to the optimal turbulence model to obtain a whole-field wind energy resource. And the wind resource simulation accuracy is improved.

The invention relates to the technical field of wind power plant wake flow testing, and discloses a 3D scanning type laser radar planning method suitable for wind power plant wake flow testing, and the method comprises the steps: determining a wind power plant wake flow wind measurement region according to a wind measurement demand; determining a mainstream wind direction and a wind speed interval of the wind power plant wake flow wind measurement area based on the wind power plant wind resource data, and obtaining unit coordinates and unit parameters of wind turbine units in the wind power plant wake flow wind measurement area; according to the mainstream wind direction, the wind speed interval, the unit coordinates and the unit parameters, performing simulation calculation on the wake flow field of the wind turbine generator in the wake flow wind measurement area of the wind power plant to generate a wake flow area cloud picture; according to the method, the arrangement position of the 3D scanning type laser radar is determined based on the wake flow area cloud picture and the actual landform of the site, the situation that the arrangement position of the 3D scanning type laser radar is repeatedly adjusted for multiple times due to arrangement errors possibly occurring during arrangement according to experience can be avoided, and the wake flow testing efficiency is improved.

The invention relates to the technical field of wind energy resource evaluation, in particular to a method and a system for calculating a hydrodynamics wind field numerical value based on high-precision landform, and the method comprises the steps: generating a three-dimensional unstructured grid for CFD wind field simulation based on high-precision landform data; analyzing an atmospheric boundary layer structure, and establishing a turbulence calculation model; according to the turbulence calculation model, the influence of atmospheric stability on the mountain flowing wind acceleration factor is researched, and a mountain flowing model is developed; performing CFD wind field simulation according to the three-dimensional unstructured grid and the mountain flow model, and correcting parameters of the mountain flow model; a refined grid is made through terrain elevation data; and according to the refined grid, driving the corrected mountain flow model to carry out numerical simulation, and carrying out wind power plant wind resource evaluation. Through the method, the complex characteristics of the wind field can be reflected more comprehensively, the precision and the calculation efficiency of wind resource evaluation are remarkably improved, and the efficiency and the accuracy of numerical simulation of the complex terrain wind field are improved.

The invention relates to a wind resource prediction method based on quality control assimilation of multi-source observation data, and the method comprises the steps: integrating the multi-source observation data, including a multi-band radar reflectivity factor, a radial speed, a ground observation station, and wind profile radar data; quality control processing such as mottle removal, data filling, speed folding removal and discontinuous data removal is carried out, so that the accuracy and continuity of the data are improved; then, through lattice point interpolation and three-dimensional variation assimilation technologies, the processed observation data are fused into an initial background field, and an analysis field closer to the actual atmospheric state is generated, so that the reliability of severe convective weather risk assessment is remarkably improved, and the accuracy of wind energy prediction is also enhanced; and more comprehensive, detailed and stable information support is provided for weather forecast and energy management.

The invention relates to the technical field of wind resource assessment and wind power plant optimization, and discloses a multi-source information fusion measurement system combining laser radar data and wind resource assessment, and the system comprises a data collection module which is used for collecting laser radar data, synthetic aperture radar data, numerical weather forecast data and ground weather station data; the data preprocessing module is used for carrying out noise filtering, time alignment, space alignment and data calibration on the collected data; the information fusion module is used for dynamically fusing the preprocessed multi-source data and outputting high-precision wind speed and turbulence characteristic distribution; and the wind field modeling and prediction module is used for constructing a dynamic three-dimensional wind field based on the fusion data and performing short-time wind speed prediction. Through multi-source data deep fusion, dynamic wind field modeling and intelligent optimization modules, the comprehensive effects of high-precision wind field evaluation, nonlinear wind speed prediction and fan layout global optimization are achieved.

The invention relates to the technical field of new energy wind power, in particular to a wind power plant wake flow prediction method based on LBM-LES, and the method comprises the following steps: (1) obtaining wind resources and wind power plant topographic data, and constructing a wind power plant computational domain; (2) applying boundary conditions and material parameters: applying the corresponding boundary conditions to the computational domain according to the data obtained from the step (1), and endowing the material parameters; (3) embedding an LES large eddy simulation model in the LBM through the effective viscosity in the collision model, and meanwhile, dispersing a lattice Boltzmann equation and solving the lattice Boltzmann equation; the method has the advantages that a complex macroscopic flow motion equation does not need to be solved, instead, the lattice Boltzmann equation of the mesoscale is solved, and compared with a traditional method, the solving efficiency is greatly improved; secondly, a wind turbine is simulated by adopting a rotary actuating disc method, so that a wind power plant wake flow simulation result is closer to a real wind field, and the calculation precision is remarkably improved.

The invention discloses a CFD (computational fluid dynamics) analogue simulation-based wind power plant wind resource evaluation method and a CFD analogue simulation-based wind power plant wind resource evaluation device. The evaluation method comprises the following steps: collecting and processing landform and meteorological data of a wind power plant site; establishing a three-dimensional CFD simulation model of the wind power plant according to the processed landform and meteorological data of the wind power plant site, performing grid division on a wind power plant area, and setting simulation boundary conditions; performing numerical simulation on the three-dimensional CFD simulation model of the wind power plant, and analyzing wind speed field distribution information of each position in the wind power plant; and according to the wind speed distribution information, calculating and evaluating the wind resource condition of the wind power plant to obtain a wind resource evaluation result. According to the technical scheme, through the three-dimensional simulation-evaluation-optimization closed loop with the CFD as the core, the wind speed and turbulence can be accurately quantified in the design stage, so that unit model selection, tower height, blade length and machine position layout are matched with a real wind field, key parameters can be determined at a time, the design period can be shortened, and the operation and maintenance and grid connection cost can be reduced.

The invention discloses a wind power plant micro-siting assessment method based on spatial analysis and climate adaptability, relates to the technical field of wind power plant siting, and solves the problems that in the prior art, spatial analysis depends on static topographic data, climate adaptability assessment uses dynamic meteorological data, and the static topographic data and the dynamic meteorological data lack a space-time synchronization mechanism; and a prediction result has a large deviation. The method comprises the following steps: firstly, acquiring multi-source data and fusing to realize time-space synchronization of the data; then, constructing and solving an objective function to obtain a candidate point set, and screening out an optimized point distribution scheme of which the prevailing wind direction coverage is greater than a set threshold value; and finally, inputting prediction data of various extreme climates into the cost-per-kilowatt-hour model, introducing extreme climate toughness parameters into calculation to carry out climate adaptability data correction, and calculating return on investment cycles under different carbon emission scenes. Through the steps, the limitation that only static wind resources are concerned on traditional site selection is broken through, and combined evaluation of the regional climate adaptability and the complex terrain adaptability is achieved.

The invention relates to the technical field of wind resource assessment, and provides a directional calculation method and system for wind resource assessment, and the method comprises the steps: carrying out the directional calculation of a target region based on geographic data, and obtaining a global directional calculation result; based on the global directional calculation result and the meteorological data, performing comprehensive calculation on the target area to obtain whole-field wind resource data; selecting a plurality of local areas in the target area based on the whole-field wind resource data and the geographic data; for each local region, extracting the wind speed at the boundary of the local region from the global orientation calculation result, fitting to generate a function of the wind speed changing along with the height, compiling the function into a boundary condition, and performing orientation calculation to obtain a local orientation calculation result; and correcting the global orientation calculation result by adopting the local orientation calculation result to obtain a corrected orientation calculation result. And the calculation efficiency is effectively improved while the high precision is kept, so that the wind resource evaluation requirements under the large-range and complex terrain conditions are met.

The invention relates to the technical field of wind resource assessment and prediction, in particular to a regional wind resource assessment and prediction method and system based on an interpolation method and SARIMA, a storage medium and a processor, and the method comprises the steps: obtaining regional wind speed data; performing interpolation processing on the data to obtain interpolated wind speed data; according to the interpolated wind speed data, calculating the annual available hours of the wind resources in each space region, and selecting the region with the maximum utilization potential of the wind resources as a target region for wind speed prediction; establishing and training an SARIMA wind speed prediction model; and performing wind speed prediction on the selected region with the maximum wind resource utilization potential by adopting the trained SARIMA prediction model region to obtain wind speed prediction data of the region. According to the method, the plane interpolation method and the SARIMA model are combined, spatial data are reasonably filled through the plane interpolation method, the utilization potential of wind resources is evaluated, the SARIMA model is combined to dynamically predict the time sequence, and the limitation of a traditional method can be overcome.

The invention provides a wind power plant equipment modeling and operation and maintenance management and control method and device based on digital twinning, and the method comprises the steps: restoring a fan entity based on a 1: 1 three-dimensional modeling technology, integrating multi-source data, including equipment sensor, video monitoring and GIS topographic data, and achieving the real-time mapping of a physical field and a virtual field through the construction of a high-precision digital twinning model. And the intelligent decision support module predicts wind resource distribution by using a dynamic boundary layer model, optimizes a grid-connected control strategy in combination with a virtual inertia simulation technology, and guarantees the transient stability of the power grid in a new energy fluctuation scene. And the full-life-cycle management platform supports full-process management from site selection planning, operation monitoring to fault diagnosis, and realizes multi-service data fusion display and interactive operation and maintenance strategy verification through a three-dimensional visual large screen.

The invention discloses a wind resource measurement and evaluation method and system, and relates to the technical field of wind energy resource evaluation, and the method comprises the steps: collecting data through a sensor, and carrying out the preprocessing; performing data fusion based on the preprocessed data; performing wind resource evaluation through the fused data; and carrying out visual display on the evaluation result. Through cooperative work of multiple types of sensors and a dynamic data fusion technology based on weight distribution and Kalman filtering, the problems that in the prior art, wind resource measurement precision is insufficient, complex terrain area measurement adaptability is poor, and the space coverage range is limited are solved; through comprehensive application of wind power density calculation and a wind energy evaluation model, high-precision simulation and quantification results of wind speed distribution, wind power density distribution and wind direction frequency in a target area are provided; through the design of the visualization and interaction module, a user can visually check and dynamically adjust the evaluation data, thereby optimizing the planning and design of the wind power plant.

The invention relates to an offshore wind power plant layout optimization design method suitable for class group situations. The method is suitable for wind power planning design. According to the technical scheme, the offshore wind power plant arrangement optimization design method suitable for the class field group situation comprises the steps that a wind power plant information array is constructed, and the wind power plant information array comprises the wind turbine positions, the machine type numbers and the machine type parameter information of all wind turbines in a planning field area and a peripheral built field area and the weights of all the wind turbines; constructing a model aerodynamic parameter dictionary file, wherein the model aerodynamic parameter dictionary file comprises model numbers and a corresponding wind speed-aerodynamic parameter list; constructing a multi-dimensional wind resource key statistical information dictionary file, wherein the file comprises the model number and the probability density of each basic wind regime; and taking the position of each wind turbine in the planning field as a variable, taking maximization of the annual energy output of the planning field as a target, combining with a preset wind turbine position constraint in the planning field, performing iterative calculation by adopting an optimization algorithm, and determining the position of each wind turbine in the planning field.

The invention belongs to the field of wind power plant planning, and provides a digital integrated planning platform and method for a wind power plant. The wind power plant digital integrated planning platform comprises a wind resource intelligent analysis processing module which processes wind resource data in a set area item set by adopting a twice detection and evaluation mechanism, determines abnormal data and types thereof, and further performs matching interpolation and correction; the wind power plant macroscopic site selection module is used for carrying out wind power plant planning macroscopic optimization based on multiple maps and sensitive factors; the wind power plant equipment type selection and arrangement optimization module is used for carrying out type selection and arrangement optimization on wind power plant equipment to obtain a wind power plant equipment type selection and arrangement optimization scheme; and the wind power plant post-evaluation module is used for comparing the wind resource data in the operation stage with the wind resource data in the design stage after the wind power plant equipment type selection and optimization scheme arrangement are implemented so as to evaluate the operation state of the wind power plant, and early warning and matching are carried out on the abnormal state to generate corresponding solutions.

The invention belongs to the field of wind resource data processing, and provides a heterogeneous wind resource data interpolation and correction method and system. The heterogeneous wind resource data interpolation and correction method comprises the following steps: acquiring wind resource data and mesoscale weather data of a target anemometer tower and an adjacent anemometer tower; performing same-tower interpolation on the wind resource data of different heights at the current moment according to the wind resource data of the available height at the set moment of the target anemometer tower; judging whether the wind direction or / and the wind speed in the wind resource data of the target anemometer tower after the same-tower interpolation is / are missing or not, and further judging whether different-tower interpolation is carried out or not to obtain representative wind resource data capable of representing the long-term average level of the wind power plant; judging whether the representative wind resource data has a tower shadow effect or not, and if not, obtaining final interpolated and corrected wind resource data of the target anemometer tower; and otherwise, carrying out tower shadow correction on the representative wind resource data, and taking a result after tower shadow correction as final interpolated and corrected wind resource data of the target anemometer tower.

The invention discloses an offshore wind power plant wind resource assessment method and device, electronic equipment and a readable storage medium, is applied to the technical field of offshore wind power development, and aims to solve the problem that wind resources of an offshore wind power plant cannot be accurately assessed in the prior art. The method comprises the following steps: acquiring measured data of each anemometer tower in a preset range around an area to be subjected to wind measurement; performing wind resource prediction on a target point location in the area to be subjected to wind measurement by using each group of wind measurement tower actual measurement data to obtain a first predicted average wind speed corresponding to each group of wind measurement tower actual measurement data; determining a wind speed correction coefficient of the target point location according to each first predicted average wind speed; determining a target anemometer tower from each anemometer tower, and correcting the anemometer tower actual measurement data of the target anemometer tower by adopting a correction coefficient to obtain annual wind speed data of a target point location in the area to be subjected to wind measurement; according to the invention, the accuracy of offshore wind plant wind resource assessment can be improved.

The invention relates to the technical field of wind power plants, and provides a wind power plant site selection method and system based on a three-dimensional model, and the method comprises the steps: obtaining a three-dimensional model and a plurality of site regions in the three-dimensional model; for each site area, fan type matching is carried out, the maximum fan number and the maximum fan arrangement scheme are determined in combination with the terrain and the wind resource atlas, and the maximum fan arrangement scheme is displayed in the three-dimensional model; and obtaining a fan selected in the three-dimensional model, generating a boundary area based on the position of the selected fan, calculating to obtain a buffer radius according to the terrain and fan distribution condition in the boundary area, and expanding the boundary area based on the buffer radius to obtain an optimal site area. And the accuracy and reliability of wind power plant site selection are ensured.

The present invention relates to a wind power generation system comprising a floating part with a power generation assembly located radially inward, in which the floating part comprises: a floating body surrounding the power generation assembly having a first air duct; the annular wing is located on the radial outer side of the floating body and is spaced from the floating body, so that a second air channel is formed, resistance generated by the annular wing in the working period is far smaller than lift force generated by the annular wing, and when the absolute attack angle of airflow relative to the axis of the annular wing is not zero, return force generated by the annular wing can drive the floating part to rotate. By means of the innovative design of the wind power generation system, efficient energy conversion and stable power generation in the high altitude, especially in the stratosphere area are achieved, and strong wind resources in the area are fully utilized. Not only is the capturing and conversion efficiency of wind energy optimized, but also the stability and controllability of the system are improved, so that the wind energy can be continuously and stably converted into electric energy even in extreme weather.

The invention discloses a photovoltaic power station wind field evaluation method and system, electronic equipment and a storage medium, and relates to the technical field of photovoltaic power station engineering. The method comprises the following steps: carrying out classification processing on original point clouds, generating DEM data by using Delaunay triangulation in combination with a natural neighborhood interpolation method, and carrying out correction through ground control points and least square adjustment; and constructing a three-dimensional terrain model according to the corrected data and image data, determining a computational domain size and a boundary condition, performing terrain optimization, executing LES solution after applying near-surface turbulence inlet disturbance synthesized by PRFG3, and comparing and evaluating the obtained transient wind field data with field actually measured wind speed data. According to the method, accurate capture of complex terrain wind field features and dynamic adaptive correction of the model are realized, so that the evaluation period is shortened, the surveying and mapping cost is reduced, the precision and reliability of wind field evaluation are remarkably improved, and the demand of wind resource evaluation of a large-scale photovoltaic power station is met.

The invention relates to the technical field of wind power, and provides a wind power plant-oriented field recommendation method and system, and the method comprises the steps: selecting the type of a fan for each candidate field, determining the number of fans based on the parameters of the type and a wind resource map, and carrying out the arrangement of the fans; for each fan in each candidate field area, after a fan power curve is determined based on the type parameters, the fan power curve is reduced based on the air density of the candidate field area; on the basis of the reduced fan power curve and the wind resource map, calculating the number of annual online hours of each fan; for each candidate field area, calculating the average number of the annual on-line hours of all the fans to obtain the average on-line hours of the field area, and calculating the annual total generating capacity of the candidate field area based on the product of the average on-line hours of the field area, the number of the fans and the rated power of the fans; and carrying out descending sorting on the candidate fields according to the average internet surfing hours of the fields, and displaying the annual total generating capacity. And the user can more accurately know the feasibility of the field area.

The invention discloses a wind power plant arrangement optimization method and device, equipment and a storage medium, and relates to the technical field of wind power plant design and optimization, and the method comprises the steps: obtaining environment turbulence intensity and a fan thrust coefficient, and constructing an omnidirectional wind resource map; inputting the environmental turbulence intensity and the fan thrust coefficient into a TurbOPark wake flow model, calculating wake flow loss and obtaining the inflow wind speed of each fan under each wind direction and wind speed combination; taking the wind frequency in the omnidirectional wind resource map as a weight, and carrying out weighted summation processing on single-machine power obtained by converting the inflow wind speed through a power curve to obtain a target function of maximizing the total power generation of the whole field; and by taking the boundary polygon coordinates and the minimum spacing requirement as constraints, randomly disturbing the fan coordinates and comparing the target function before and after disturbance to iteratively update the fan position, the target fan coordinates and the whole-field total generating capacity corresponding to the target fan coordinates are obtained, and the optimization precision and the engineering efficiency are remarkably improved.

The present application relates to the technical field of resource configuration, and discloses an offshore wind farm resource configuration method and apparatus, a computer device, and a storage medium. According to the present application, different adjustment rates are determined on the basis of a predicted wind energy dataset and a preset adjustment period, and the determined adjustment rates are used to adjust the layout of wind turbines in a wind power generation-based prediction twin model, thereby ensuring the stability of wind turbine groups during movement, and realizing a targeted adjustment mechanism for the wind turbines on the basis of different wind resource conditions. Optionally, on the basis of the established wind power generation-based prediction twin model, a target layout of the wind turbine groups in an offshore wind farm to be configured and a target orientation of each wind turbine can be obtained, and the positions and orientations of the wind turbines are adjusted at the same time, thereby maximizing offshore wind resource utilization, and improving the efficiency of wind power generation.

The invention discloses a hierarchical simulation modeling system for a new energy station cluster and a real-time verification method, belongs to the technical field of new energy power generation simulation, and solves the problems of high simulation calculation complexity, difficulty in real-time operation and closed-loop interaction verification with an external control system of a large-scale new energy station cluster. According to the technical scheme, the method comprises the steps that a digital dynamic real-time simulation platform configured with a multi-thread parallel computing architecture is adopted, and a new energy station detailed model comprising a wind power generation unit model, a photovoltaic power generation unit model, an energy storage power generation unit model and a current collection system model is deployed on the platform; generating an independent wind speed sequence for each fan through a wind resource distribution model; and constructing a large-base station cluster model composed of a plurality of station simplified models through aggregation equivalence. The system is mainly used for real-time simulation testing of a large-scale new energy base and closed-loop verification of a control system.

The invention relates to the technical field of wind driven generator blades, and discloses a power increasing and deicing method for wind driven generator blades, which comprises the following steps: S1, analyzing field wind resources and calculating parameters: collecting long-term data by using meteorological data and wind field measurement equipment, analyzing the wind resources, and analyzing and calculating key parameters based on the wind resources; s2, load comparison and strength evaluation: simulating stress conditions of the extended blade at different wind speeds, calculating new load distribution, and comparing a calculation result with an original design load of a unit; s3, on-site blade extension technical improvement is implemented, specifically, the blade tip of an original blade is cut, temperature and flow monitoring equipment is installed at the position of the blade tip, and a blade tip extension section is firmly bonded with the blade root and the blade tip; s4, blade rotation positioning is conducted, specifically, the blades are subjected to pitch changing till the blades are parallel to the ground, the SS faces are downward, and after pitch changing is completed, the blades and the impeller are locked; and S5, polishing and mounting position marking: marking the mounting position of the air guide pipe, and polishing the mounting positions of the air blower and the heater.

The present invention discloses a method and terminal for calculating the output of multiple offshore wind farms under the influence of a typhoon. The method predicts the range of the typhoon track by training the acquired historical typhoon track data, thereby simulating the uncertainty of the typhoon track. According to the predicted range of the typhoon track, a vortex wind field model is used to obtain the wind speed scene around it, and a wind speed-wind turbine output physical model is established in combination with the wind speed scene, environmental parameters and wind turbine parameters of the wind farm. Then, the output scenes corresponding to multiple wind farms are calculated according to the wind speed-wind turbine output physical model. In this way, when a typhoon disaster occurs in the working environment of multiple offshore wind farms, the changes brought about by the uncertainty of the typhoon track to the wind power output prediction can be taken into account, which is conducive to the coordinated operation of various types of power sources under typhoon disasters, taking into account both the utilization of wind resources and the safety of power grid operation.

The utility model provides a breeze power generation device which comprises a base, the upper end of the base is rotationally connected with a power generation plate, a plurality of horizontally-arranged airflow channels are arranged in the power generation plate from bottom to top, and a plurality of wind collection covers communicated with the airflow channels in a one-to-one correspondence mode are arranged at one end of the power generation plate. An air outlet is formed in the end, away from the air collecting cover, of each airflow channel, a rotating shaft is rotationally connected into each airflow channel, a plurality of spiral blades are arranged on the periphery of each rotating shaft, a power generation shell is arranged on the side, away from the air collecting cover, of the power generation plate, and a wing plate is rotationally connected to the side, close to the power generation plate, of the power generation shell; the power generation shell is provided with a limiting strip inclining in the direction away from the power generation plate on the side, close to the power generation plate, of the wing plate, multiple power generation cavities in one-to-one correspondence with the airflow channels are formed in the power generation shell, and a power generator connected with the corresponding rotating shaft is installed in each power generation cavity. The wind power generation device can rotate in a self-adaptive mode according to the wind direction, breeze resources are utilized to the maximum degree, and the power generation efficiency is effectively improved.