215 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 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 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 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 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 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 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.

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 provides a blade root load calibration data monitoring method, system and device and a medium, and belongs to the technical field of wind turbine generator control, and the method comprises the steps: carrying out the iteration of a generator set load according to a wind resource parameter and an IEC load calculation standard, and obtaining a maximum design value of the blade root load of the generator set; carrying out coordinate transformation on the load and carrying out moving mean filtering processing on the load signal; the mean value of the blade root loads of the three blades and the difference between the blade root load of each blade and the mean value of the blade root loads of the three blades are calculated; comparing and judging the difference value with a theoretical maximum value of the blade root flapping direction load, and judging whether the difference value is greater than a load deviation alarm threshold value or not; if yes, a fan fault alarm is given out, and variable pitch optimization action is executed according to the load deviation checking pitch angle limit table. According to the method, the blade root load calibration data can be monitored, the running state of the fan can be continuously optimized, the load deviation is reduced, and the safety and stability of the fan are improved.

The present invention discloses an energy management platform and method for wind turbines in wind farms, and relates to the field of wind power generation technology, including data acquisition and monitoring systems, wind resource assessment and prediction, energy optimization and fault diagnosis, economic analysis and user interface, safety protection and system integration. The present invention, through the implementation of the data acquisition and monitoring system, makes the collection and monitoring of real-time data more efficient and accurate, enhances the quality of data and management efficiency, and improves the overall operation level of the wind farm. In terms of wind resource assessment and optimization, accurate wind speed and wind direction prediction can be achieved by combining historical data and real-time data. These prediction results provide energy optimization and fault diagnosis functions. The operating status of the wind turbine can be optimized according to the prediction results and grid demand, thereby maximizing the power generation and minimizing the cost. By reducing the downtime of the wind turbine, the economic benefits and operational efficiency of the wind farm are further improved.

The invention discloses a distributed wind power site selection and optimization method, system and device and a medium, and the method comprises the steps: obtaining wind resource data of a candidate wind power plant region, and building a multi-factor physical model; constructing a multi-factor wind field site selection model, and calculating optimal solutions of total power generation power maximization and total power generation cost minimization; and determining an optimal site selection scheme by combining the model optimal solution, wind resource distribution and topographic conditions. By improving the reserved suboptimal solution of the NSGA2 algorithm and dynamically adjusting the crossover and mutation probability, the population diversity is effectively maintained, the global search ability is enhanced, and a decision maker is supported to select the optimal layout; wind resource characteristics are comprehensively quantified through a multi-factor physical model, and the physical accuracy of site selection analysis is improved; through model hypothesis, the model complexity is reduced on the premise of ensuring the reliability, and the calculation efficiency is improved; the balance between economical efficiency and power generation efficiency is realized by taking minimization of power generation cost and maximization of power generation power as targets through a multi-factor wind field site selection model.

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 relates to the technical field of wind resource assessment, and discloses an offshore wind power plant site selection method based on development scene feature representation classification, which comprises the following steps: acquiring data of multiple dimensions such as a wind resource development environment, a construction environment and an operation and maintenance environment, and classifying initial development scenes of an offshore wind power plant in combination with a feature representation method; the defect that a traditional method depends on a single index is overcome; a multi-layer perceptron model is utilized and combined with multi-dimensional data, comprehensive prediction of the wind power plant development environment is achieved, and prediction deviation caused by traditional subjective experience is avoided. Meanwhile, by predicting the productivity and the cost in advance, the development risk and the cost caused by incomplete consideration of environmental factors are avoided. Furthermore, a multi-objective decision-making method is adopted for scoring based on a prediction result, so that multi-objective conflicts such as productivity, cost and risk are comprehensively balanced, site selection one-sidedness caused by a single index in a traditional method is avoided, scientificity and objectivity of decision making are improved, and development risk and cost are reduced.

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.

The invention relates to a wind power plant site selection method based on multi-level offshore wind energy resource assessment, which comprises the following steps of: acquiring the position of an established wind power plant and wake flow data thereof, and calculating a position index and a wake flow index of the wind power plant; obtaining water depth data and offshore distance data, and calculating a water depth index and an offshore distance index; acquiring wind speed data, and calculating a wind resource index; calculating a comprehensive ocean wind energy index of each region based on the indexes; areas with the comprehensive ocean wind energy indexes larger than a preset threshold value are screened as candidate areas; acquiring a wind resource condition of a specified height by using the wind shear index of the candidate region, and performing statistical analysis on the wind resource condition of the candidate region by using Weibull probability distribution to obtain an average wind power density; and selecting a wind power plant installation address from the candidate area based on the average wind power density. Compared with the prior art, the method has the advantages of effective and accurate wind power plant site selection and the like.

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 relates to a multi-model offshore wind power plant distribution optimization design method considering similar aggregation, and the method comprises the steps: obtaining wind power plant information, model parameters and wind measurement data, and the wind power plant information comprises a wind turbine installation point location in a field area, a model planned to be assembled and the number of each model; determining a representative annual wind resource data set and a wind shear index at the representative height of the region where the wind power plant is located based on the wind measurement data; and by taking the types of the wind turbines at the wind turbine installation point positions in the field as design variables, maximizing the annual energy production of the wind power plant as a target, and combining constraint conditions, performing iterative optimization by adopting an intelligent optimization algorithm, and determining an optimal arrangement design scheme. According to the method, the calculation precision of the annual energy output is effectively improved, and the optimized distribution design scheme can be better matched with the wind energy resource distribution characteristics in the field, so that the power generation effect in the actual operation period of the wind power plant is ensured to reach the expectation. The method is suitable for the field of wind power planning design.