123 results about "Wind resource" patented technology

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 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 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 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 discloses an offshore high-power wind power plant rapid prediction system and method based on wind resource refined evaluation and field network integration. The system comprises a wind resource fine evaluation module used for comprehensively considering wind speed, wind direction, turbulence intensity, atmospheric stability and marine environment parameters to obtain spatial and temporal distribution of wind energy resources; the high-power wind turbine comprehensive modeling module is used for establishing a wind power plant unit power output model in combination with the power curve and a Jensen wake flow model; the neural network prediction module is used for realizing rapid prediction of future power; and the field network integrated rapid solution and grid connection module combines the predicted power with the power grid constraint condition, and outputs the adjusted power curve and power grid operation characteristics by adopting a rapid solution and optimization method. According to the method, the impact of wind power fluctuation on the power grid can be effectively reduced, the wind power grid-connected friend performance and the power grid stability are improved, rapid solving and dispatching optimization of the generating capacity of the high-power wind power plant in the deep and far sea are achieved, and the method has high engineering application value.

The invention discloses an island surrounding wave light wind resource comprehensive development suitability evaluation method and device and a medium, and relates to the field of resource development and evaluation, and the method comprises the steps: taking a suitability evaluation criterion as a criterion layer, taking an influence index as an index layer, and constructing a comprehensive development evaluation index system of a hierarchical structure; performing normalization processing on indexes in the index layer; adopting an analytic hierarchy process and a CRITIC method to determine the weight of the criterion layer based on the indexes in the index layer, and obtaining the weight; combining the two weights to obtain a combined weight of the criterion layer; and determining the suitability value of each spatial point in the peripheral area of the island based on the combination weight and the normalization result, and taking the spatial points with the suitability values higher than a set threshold value as a comprehensive development area suitable for collaborative complementation of waves, wind and photovoltaic resources. According to the method, various ocean renewable energy sources can be scientifically evaluated and reasonably optimized, and the scientificity and the accuracy of comprehensive development suitability evaluation of wave light and wind resources around an island are improved.

The invention discloses a wind and light storage cooperative power system suitable for a Sagomean area with deficient wind resources. The wind and light storage cooperative power system comprises a photovoltaic power generation unit, a floating type high-altitude wind power generation unit, a large-scale electrochemical energy storage unit and a central control module. The photovoltaic power generation unit serves as a basic power source, the wind power generation unit captures high-altitude stable wind energy through the floating technology to achieve complementary power supply, and the energy storage unit solves the problems of wind and light output fluctuation and load demand imbalance. And the central control module realizes efficient utilization of energy and stable operation of the system through a wind power prediction module, a multi-target collaborative scheduling module and a system operation optimization module in combination with an equipment health state evaluation and preventive maintenance strategy. The system breaks through the limitation of ground wind resources, improves the absorption capability of renewable energy sources, adapts to extreme environments, and guarantees the reliable supply of power in the Saggob area.

This invention discloses a PIDNN-SO-based method for optimizing the layout of offshore wind farms, belonging to the field of wind farm optimization design technology. The method first inputs wind farm, turbine, and wind resource parameters, sets constraints on turbine spacing, boundaries, and wake overlap rate, and constructs a high-precision wake flow field physical model based on actuator disk theory, Navier-Stokes equations, and a weighted quadratic wake superposition model. Secondly, it builds a physical information dual neural network (PIDNN) with dual encoders, integrating physical equation loss and data loss to train the model, achieving rapid and accurate prediction of wake wind speed. Then, it uses the snake optimization algorithm (SO) to optimize the environmental evolution factor, completing an efficient search for turbine layout. Finally, it constructs a PIDNN-SO collaborative optimization framework, trains a PIDNN surrogate model through initial sampling, and outputs the optimal layout that maximizes annual power generation. This invention can effectively reduce wake loss and significantly improve the power generation efficiency of offshore wind farms.

The invention discloses a wind resource assessment method based on multi-source data fusion, a medium and a system. The method comprises the following steps: S1, acquiring project basic information and multi-source data of a wind power project; the project basic information comprises a project name, a geographic position and topographic information; the multi-source data comprises anemometer tower data, mesoscale data and CFD data; s2, preprocessing the anemometer tower data to generate corrected anemometer data; s3, performing multi-source data fusion on the corrected wind measurement data, mesoscale data and CFD data, and performing wind resource parameter analysis to obtain a machine site wind resource evaluation result; s4, performing reduction and uncertainty analysis based on the wind resource evaluation result of the machine site, and calculating the generating capacity; and S5, generating a wind resource assessment report according to the power generation amount calculation result and the project basic information. According to the method, the wind resource state of each machine site in the wind field can be evaluated more accurately.

The invention belongs to the technical field of wind power plants, and discloses a point location information determination method and device, equipment, a storage medium and a product. The method comprises the following steps: clustering a plurality of to-be-queried point locations in an available land parcel of a wind power plant to obtain a target clustering center, then constructing a triangulation network by taking the target clustering center as a vertex, and determining an affiliation relationship between the plurality of to-be-queried point locations and triangles in the triangulation network; and determining wind speed and wind direction information corresponding to the plurality of to-be-queried point locations according to the target wind speed and wind direction information corresponding to the target clustering center and the affiliation relationship. The multiple to-be-queried points are clustered, the number of the points needing to be queried through the wind resource interface is reduced, then the wind speed and wind direction information corresponding to the multiple to-be-queried points is determined according to the target wind speed and wind direction information corresponding to the target clustering center and the affiliation relation, and therefore under the condition that the number of query times of the wind resource interface is limited, the query efficiency of the wind resource interface is improved. The wind speed and wind direction information of a large number of to-be-queried point locations in available plots is effectively and accurately determined through a clustering center query method.

The invention belongs to the technical field of power distribution cabinets, and particularly relates to a novel industrial energy-saving low-voltage intelligent power distribution cabinet based on an intelligent power grid, the novel industrial energy-saving low-voltage intelligent power distribution cabinet comprises a cabinet body, a heat dissipation assembly, a wind power detection assembly and an adjusting assembly, the heat dissipation assembly comprises a fan, and the adjusting assembly comprises a controller arranged in the cabinet body and electrically connected with the fan; the first rod is arranged in the cabinet body; the square rod is installed on the cabinet body in a sliding mode, a pressure sensor is arranged on the square rod, the pressure sensor is located between the square rod and the first rod and connected with the controller, the wind power detection assembly is used for sensing external wind power and converting the external wind power into mechanical displacement so as to drive the square rod to move, and the movement amount of the wind power detection assembly is related to the wind power; through cooperation of the wind power detection assembly and the pressure sensor, the rotating speed of the fan can be dynamically adjusted according to the strength of external natural wind power, abundant natural wind resources in coastal areas are utilized to assist heat dissipation to the maximum extent, and invalid energy consumption of the fan is remarkably reduced under the condition that the heat dissipation effect is not changed.

A small breeze capturing power generation device comprises a transmission vertical rod, a power generation mechanism and a plurality of fan blades, the fan blades are detachably installed at the upper end of the transmission vertical rod, the lower end of the transmission vertical rod is in transmission connection with the power generation mechanism, and the periphery of the transmission vertical rod is concentrically sleeved with a plurality of wind gathering ring covers from top to bottom in the axial direction of the transmission vertical rod. The diameters of the multiple air gathering ring covers are gradually reduced from top to bottom, the multiple air gathering ring covers are connected at intervals through multiple connecting inclined plates distributed in the circumferential direction of the multiple air gathering ring covers, and the multiple air gathering ring covers are each in a horn shape with the opening large end distributed downwards. The wind power generation device is convenient to install, can generate power by utilizing breeze resources, and improves the power generation efficiency.

The invention discloses a wind resource prediction method based on multi-scale spatio-temporal feature fusion, and belongs to the technical field of wind resource prediction, and the method comprises the steps: converting a historical wind speed and wind direction sequence of a target fan from a one-dimensional time sequence into a multi-scale two-dimensional time sequence through employing a constructed short-term wind resource prediction model, extracting intra-period-week time characteristics of the two-dimensional time sequence to obtain an initial wind speed prediction result and a final wind direction prediction result of the target fan; and on the basis of the initial wind speed prediction result, selecting an upstream wind turbine advanced sequence section of the target wind turbine according to the geographic position and the real-time wind direction of the wind turbine, and further optimizing the initial wind speed prediction result to obtain a final wind speed prediction result. The method has important practical significance for formulating a wind energy capturing strategy of the wind turbine generator and dispatching and operating a power grid, and is suitable for future power system operation and other practical applications.

The application discloses a kind of wind power resource drought degree evaluation method and related equipment.The method comprises: obtaining the hourly wind speed data of target area in history and evaluation period, and determining hourly wind power output sequence in combination with wind turbine power curve;Based on historical wind power output sequence sample, determine reliable output reference value and recharge threshold value for each duration t based on the statistical distribution of historical sample of each duration t;Calculate the equivalent energy buffer capacity of system in the evaluation window for resisting wind power underproduction;Based on reliable output reference value and recharge threshold value, calculate power gap and power surplus hour by hour;According to the reliable reference gap power that is not satisfied by energy storage and energy storage energy state, calculate operating deficit;Based on equivalent energy buffer capacity and operating deficit, calculate wind power resource drought index.Can solve the problem of the shortcomings of the existing method for quantifying and analyzing wind power resource drought, including fixed threshold method, relative anomaly method and standardized index method.

The invention discloses a wind resource micro-siting method and system based on economy, and the method comprises the steps: obtaining the spatial geographic information and long-sequence meteorological data of a target wind power plant, and the geographic constraint information of a wind power prohibited construction region, and constructing a high-resolution three-dimensional geographic information system platform; based on the three-dimensional geographic information system platform, wind resource refined evaluation is carried out, whole-field wind energy distribution parameters and single-station theoretical wind energy parameters are obtained, and the wind energy distribution parameters at least comprise wind speed Weibull distribution parameters and a wind direction rose diagram; an optimization objective function of micro-siting is defined, and compliance risks are avoided from the source by taking a construction forbidding area as a rigid constraint to be embedded in an optimization model; and high-precision terrain and meteorological data are fused in a three-dimensional geographic information platform, and wind field high-resolution numerical simulation based on a computational fluid mechanics principle is performed, so that the precision of wind resource space-time distribution evaluation in a complex terrain is remarkably improved.

The embodiment of the invention provides a wind driven generator array cooperative yaw scheduling method, electronic equipment and a system. The wind driven generator array cooperative yaw scheduling method comprises the following steps: acquiring arrangement parameters of a wind driven generator array; the real-time wind condition of the area where the wind driven generator array is located is obtained; based on the arrangement parameters of the wind driven generator array and the real-time wind condition of the area where the wind driven generator array is located, clustering the wind driven generator array in real time; by taking maximization of the total generated power in the real-time cluster of the wind driven generator as a target, obtaining a real-time optimal yaw angle of each single wind driven generator in the real-time cluster of the wind driven generator; and based on the real-time optimal yaw angle of each wind driven generator monomer in the wind driven generator real-time cluster, controlling each wind driven generator monomer to execute yaw action. According to the method, the overall generating capacity of the wind driven generator array can be effectively improved, and the utilization efficiency of wind resources and the economical efficiency of a wind power plant are improved.

The present application belongs to the technical field of new energy distribution network planning and operation optimization, and discloses a kind of energy storage multi-point site selection and capacity determination and operation collaborative optimization method for island high proportion new energy distribution network, which combines island area coastal wind resource characteristics, photovoltaic output characteristics, island area load spatial distribution characteristics and actual network frame constraint conditions of distribution network, constructs multi-representative day source network load scene of target year, carries out energy storage multi-point site selection and capacity determination on two layers of candidate positions of node level and station level, and carries out operation evaluation on different energy storage configuration schemes through daily scheduling model with network frame constraint, simultaneously introduces key load supply guarantee evaluation under power failure scene, realizes the collaborative optimization of conventional operation economy, new energy consumption capacity and power supply resilience. It can obtain the optimal configuration scheme of energy storage meeting the network frame constraint according to the localization characteristics of new energy output and load demand in island area, effectively reduce system purchase power and surplus new energy sending pressure, and improve the key load guarantee capacity under power failure condition.

The invention discloses a quantitative evaluation method for generating capacity of a wind turbine generator in a wind-light same field, and relates to the technical field of wind energy resource evaluation and wind-light collaborative optimization. The method comprises the following steps: collecting multi-dimensional meteorological, terrain and photovoltaic array geometric parameter data of a wind-light same-field area, and constructing a three-dimensional digital model; establishing a photovoltaic array-surface roughness dynamic response model based on a weighted fusion algorithm and a turbulent kinetic energy redistribution coefficient; a data interface module is developed, and real-time butt joint between the dynamic roughness model and an on-site monitoring system and between CFD numerical simulation and wind resource evaluation software is achieved; a wind-solar coupling characteristic model is established by combining a fluid mechanics theory and a machine learning algorithm, and the influence of photovoltaic array arrangement on wind speed distribution, turbulence intensity and wind turbine generator power output is quantified; and determining fan arrangement and photovoltaic array parameters through model verification and multi-objective optimization. The method can accurately reflect the dynamic evolution of the surface roughness, and is suitable for the resource evaluation and collaborative design of the same-field project of wind and light.

The application relates to the technical field of wind power generation, and specifically discloses a wind turbine clearance risk assessment method, device, equipment and storage medium. The method comprises the following steps: obtaining a wind measurement data sample of a target site to be selected by a target wind turbine; extracting actual wind condition data of the target wind turbine at the target site from the wind measurement data sample; establishing a wind condition model of the target wind turbine at the target site based on the actual wind condition data; and performing simulation calculation on the wind condition model and a whole-machine model of the target wind turbine to obtain a clearance evaluation value of the target wind turbine. Compared with the simulation evaluation in the prior art, which uses standard specified wind conditions, the actual wind conditions of the target wind turbine at the target site are considered, so that more accurate clearance risk assessment of a specific site can be performed, the stable operation of the wind turbine is facilitated, the blade tower scanning risk can be reduced under the condition that the wind resources of the site are fully utilized, great economic losses can be avoided, and the safety of wind power generation is ensured.

The invention relates to a wind power generation planning technology, and aims to provide a method for regionally correcting satellite remote sensing wind power resource data in a complex terrain region so as to improve the precision and correction efficiency of the wind power resource data in the complex terrain region and further improve the reliability of a wind power development decision. The wind resource data in the satellite database is used as a response variable, the combination of the landform parameters and the measured data of the anemometer tower is used as an explanatory variable, and the prediction result is compared with the wind resource data in the satellite database to optimize the model, so that the precision of the model is higher, and the wind resource data can be corrected. The method has the advantages that the formed model is higher in precision, wind resource data can be corrected conveniently, and the method is suitable for wind power generation development decision making.

The invention discloses a mountain wind power plant zoning scheme optimization method, medium and system, and the method comprises the steps: S1, carrying out the fitting of full-field wind resources, and generating a full-field wind resource map; carrying out partitioning in combination with elevation partitioning and restrictive factors, superposing wind resource maps to obtain a micro-scale wind energy resource-terrain comprehensive partitioning map, and constructing a plurality of partitioning schemes; s2, establishing a multi-dimensional evaluation index system for each partition scheme; s3, performing objective weight calculation on each secondary index in the evaluation index system by adopting an entropy weight method; s4, constructing a weighted standardized matrix by adopting a TOPSIS method and combining objective weights, calculating Euclidean distances between each partition scheme and the positive ideal solution and between each partition scheme and the negative ideal solution, and calculating relative proximity of each scheme; and S5, sorting all the partitioning schemes according to the relative proximity, and outputting an optimal partitioning scheme. The method has the advantages of improving the decision-making efficiency, optimizing the economy, improving the generating capacity and the like.

The application discloses a kind of wind turbine blade life intelligent monitoring method and system, method includes steps: extracting blade low-frequency damage model feature, constructs blade fatigue damage database;High-frequency load analysis model is established, and then based on high-frequency load analysis model, blade load is calculated, and blade fatigue load is obtained;Based on blade fatigue damage database and blade fatigue load, blade fatigue life is obtained, and blade fatigue life is evaluated.The application avoids using complex nonlinear fatigue damage model, while ensuring simulation accuracy, simplifies the order of magnitude of calculation;SCADA data and wind resource data are read online, and the blade load is evaluated in real time by high-frequency load analysis model, which improves the accuracy and timeliness of online monitoring of blade cross-section fatigue load.

The invention discloses a wind resource assessment method and system based on an optimized energy mode factor. According to the method, data preprocessing, parameter estimation, model verification and final evaluation are integrated into a standardized and repeatable process, so that the consistency and reliability of evaluation results are ensured; an energy mode factor directly related to wind energy is introduced to serve as a core target, a trustworthy region broken line algorithm is adopted to optimize parameter solution for solving, and it is ensured that the finally obtained Weibull parameter can reflect the energy characteristics of wind most truly instead of just the statistical distribution form of the wind speed; due to the improvement of the Weibull parameter estimation precision, the average wind energy power density calculated on the basis of the distribution model is closer to a true value, scientific support can be provided for wind power plant site selection, fan type selection and wind energy potential evaluation, and fine development of wind power projects is promoted.

The embodiment of the invention provides a method and device for determining the strength of a fan foundation structure, equipment, a medium and a product. Comprising the following steps: collecting type information, position information and quantity information of equipment according to area information of a to-be-determined fan; acquiring the wind resource data corresponding to the plurality of first preset heights of the to-be-determined fan in the preset acquisition time period; performing data correction processing on the wind resource data, performing division processing on the corrected wind resource data according to a wind direction based on a preset quadrant number, and determining wind resource data at a representative height in a representative year; adopting the wind shear index to calculate wind speed data and wind power density data corresponding to a plurality of second preset heights according to the wind resource data of the representative height in the representative year; the maximum wind speed of 50 years is determined; and determining the basic structure strength of the to-be-determined fan according to the 50-year maximum wind speed. According to the method, the fan is accurately optimized, and the performance of the fan is improved.

The application discloses a wind resource correction method based on meteorological assimilation, and relates to the technical field of wind resource correction, in particular to a wind resource correction method based on meteorological assimilation.

The invention provides a wind power plant wind speed time sequence prediction method based on SCADA data correction and CFD modeling. The wind power plant wind speed time sequence prediction method comprises the steps that S1, historical SCADA data and synchronous reference wind speed data of a built wind power plant are collected and preprocessed; s2, establishing an SCADA wind speed correction model based on the preprocessed data, performing primary correction and secondary correction on the SCADA wind speed, and generating a reduced hub height wind speed time sequence; s3, constructing a CFD computational domain covering the constructed wind power plant and the planned wind power plant area, taking the reduced wind speed time sequence as a time-varying boundary condition, and obtaining a space wind speed transfer function through CFD simulation; and S4, extrapolating the reduced wind speed time sequence to each location point of the planned wind power plant by using a space wind speed transfer function, and generating high-precision wind speed time sequence prediction data. The method is especially suitable for wind resource evaluation scenes of complex fields, and overcomes the limitation that a traditional method is difficult to represent wind resource distribution of the complex fields.

This invention relates to the field of energy supply technology, and particularly to an integrated wind-solar-hydrogen-storage comprehensive energy utilization system and method. The system includes photovoltaic power generation equipment, wind power generation equipment, energy conversion and storage equipment, power conversion equipment, a balance of power (BOP) system, and material storage equipment. The energy conversion and storage equipment includes an SOEC electrolyzer, a PEMFC fuel cell, and a battery. The power conversion equipment includes an AC-DC converter and a DC-AC converter. During the day, when solar resources are abundant and wind resources are relatively scarce, excess photovoltaic power, besides supplying users, is used for hydrogen electrolysis and storage or for battery storage. Wind power is used to supply the user side and the BOP system. At night, when solar resources are scarce and wind resources are abundant, the SOEC is only in a heat preservation state. Wind power is supplied to the user side and for SOEC heat preservation, and excess wind power is stored in the battery. This invention achieves multi-level energy utilization from high to low energy levels, while ensuring rapid response on the user side, and possesses strong flexibility and adjustability.

The invention discloses a mountain wind power global wind resource assessment method. The method comprises the following steps: acquiring topographic data and constructing a mountain wind speed vertical gradient reasonable interval; troubleshooting and eliminating an unsuitable area, and marking a risk early warning area; deploying a high-frequency unmanned aerial vehicle cluster and an encrypted micro sensor; long-term dynamic monitoring is carried out, monitoring data are verified, and seasonal special monitoring is synchronously implemented; performing preliminary screening on the wind resource candidate point locations in the monitoring area; performing secondary screening on the wind resource primary screening point locations through wake flow interference checking and construction cost evaluation to form a plurality of candidate point locations; constructing a terrain and weather coupling interpolation model, and inputting monitoring data for interpolation to generate a high-resolution global wind resource map; turbulence influence quantification and high-altitude environment correction are carried out based on a global wind resource map, and candidate point locations are graded through a comprehensive scoring system; and determining the number of installation point locations and the optimal installation point location. According to the evaluation method, the arrangement of an anemometer tower can be canceled, and the evaluation of wind resources in each region of the project is realized.

The invention discloses a coastal to deep sea wind energy resource refined evaluation method and system, and relates to the technical field of renewable energy sources in the climate resource development and utilization field, and the method comprises the steps: constructing a Fujian province national meteorological observation station, an ocean buoy station, reanalysis data, an offshore anemometer tower and other multi-source gradient anemometer databases; the hourly 1 * 1km high temporal-spatial resolution 0-300m gradient wind energy resource fine evaluation method based on WRF numerical mode simulation of an optimization design scheme is developed; and researching and developing WTGS exceeding probabilities and thresholds of different levels of wind speeds during the influence of the tropical cyclones, determining available wind speed, early warning wind speed and defense wind speed regions for wind resource development, and drawing a risk zoning map for development and utilization of wind farms from coastal to deep sea. Meanwhile, an offshore wind energy resource refined evaluation system is researched and developed, wind energy resource refined evaluation and developable potential estimation at different heights from the coastal sea to the deep sea are achieved, and wind energy resource development and utilization risk level zoning at any grid point in different sea areas is achieved.

The application discloses a wave energy and wind energy combined power generation device and a control method, which comprises a floating platform, a wind turbine unit and a wave energy mechanism; the floating platform is provided with an inclination detection mechanism, the inclination detection mechanism is used for obtaining platform inclination data of the floating platform and comparing the platform inclination data with preset standard inclination data to generate a comparison result; the wind turbine unit is installed on the upper end of the floating platform, and the wind turbine unit is used for obtaining wind energy by adjusting the orientation position in response to the received comparison result; the wave energy mechanism is movably connected with the floating platform, and the wave energy mechanism is used for obtaining wave energy by adjusting the wave-encountering angle in response to the received comparison result; the problems that the existing offshore power generation device is out of synchronization and mismatching with wind resources and wave resources, and the problem of low utilization efficiency of wind and wave resources are solved.