Method, device and equipment for determining generating capacity of vertical axis wind power plant
By acquiring the basic parameters and wind resource distribution parameters of the wind farm, and using the power curve and wake value standard library to calculate the power generation of the vertical axis wind farm, the problem of high calculation difficulty and inaccurate evaluation in the existing technology is solved, realizing rapid and accurate power generation evaluation and improving the accuracy of economic benefit evaluation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- INNER MONGOLIA ELECTRIC POWER SURVEY & DESIGN INST
- Filing Date
- 2026-02-09
- Publication Date
- 2026-05-08
AI Technical Summary
Existing methods for calculating the power generation of vertical axis wind farms are difficult to calculate, time-consuming, and produce inaccurate evaluation results. In particular, when multiple vertical axis wind turbines are densely constructed, the distance between the units, their location relationship, and wind speed and direction factors are not considered, leading to inaccurate evaluations and affecting economic benefits and investment decisions.
By acquiring the basic parameters of wind turbine generators and wind resource distribution parameters in vertical axis wind farms, and using power curves and wake value standard libraries, the theoretical power generation and wake value of each wind turbine generator are calculated. Combined with wind direction and frequency, the target power generation of the wind farm is determined. A general standard library of wake values is constructed using computational fluid dynamics methods to quickly and accurately evaluate power generation.
It enables rapid and accurate assessment of power generation in vertical axis wind farms, reduces calculation difficulty, improves the accuracy of economic benefit assessment and investment decisions, and can effectively assess each wind turbine unit.
Smart Images
Figure CN122000885A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of wind farm technology, and in particular to a method, apparatus and equipment for determining the power generation of a vertical axis wind farm. Background Technology
[0002] Wind turbines are energy conversion devices that convert wind energy into electrical energy. Based on the different rotating shafts, wind turbines are mainly divided into two categories: horizontal axis wind turbines and vertical axis wind turbines. Vertical axis wind turbines have a rotating shaft parallel to the blades, generally perpendicular to the ground. In vertical axis wind farms, vertical axis wind turbines are the primary power generation equipment. Before constructing a vertical axis wind farm, it is necessary to perform a power generation assessment calculation for the entire vertical axis wind farm. Currently, there is no mature commercial software for calculating the power generation of vertical axis wind farms. It generally requires the use of computational fluid dynamics (CFD) software, which demands a high level of professional knowledge, experience-based modeling, mesh generation, setting fluid dynamics calculation boundaries, and the application of large-scale computer calculations. This is labor-intensive and difficult, making rapid power generation calculations impossible, and the calculation results are often inaccurate. Furthermore, existing calculation methods have the following drawbacks: When multiple adjacent vertical axis wind turbines are densely constructed in the same wind farm site, the difference between the empirical values and the actual values is large because the distance between the vertical axis wind turbines, their relative positions, and factors such as wind speed and direction are not taken into account. This leads to inaccurate assessment of the power generation and economic benefits of the entire site, which may result in serious errors in investment decisions. Because individual vertical axis wind turbines were not evaluated, their power output and wake characteristics could not be accurately reflected, making it impossible to conduct an effective assessment for each vertical axis wind turbine. Summary of the Invention
[0003] The technical problem to be solved by this invention is to provide a method, apparatus, and equipment for determining the power generation of a vertical axis wind farm. This solves the problems of existing methods for evaluating the power generation of vertical axis wind farms, such as high computational difficulty, long processing time, and inaccurate evaluation results.
[0004] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows: An embodiment of the present invention proposes a method for determining the power generation of a vertical axis wind farm, comprising: The basic parameters of the vertical axis wind turbine generators in the vertical axis wind farm and the wind resource distribution parameters at the hub height of the current position of each vertical axis wind turbine generator are obtained. The wind resource distribution parameters include: the average wind speed, wind direction frequency, scale parameters and shape parameters of multiple preset sectors. The theoretical power generation of each vertical axis wind turbine is determined based on the power curve of the vertical axis wind turbine and the scale and shape parameters of multiple preset sectors in the wind resource distribution parameters. Based on the basic parameters and the preset general wake value standard library, the first wake value corresponding to each vertical axis wind turbine is determined by the average wind speed of each vertical axis wind turbine in multiple preset sectors and the first distance between it and its adjacent vertical axis wind turbines. Based on the wind direction frequency and the first wake value, the target wake value for each vertical axis wind turbine is determined; The target power generation of the vertical axis wind farm is determined based on the target wake value and theoretical power generation of each vertical axis wind turbine.
[0005] Optionally, obtain the wind resource distribution parameters at the hub height of the current position of each vertical axis wind turbine in the vertical axis wind farm, including: A three-dimensional computational domain is constructed based on the basic parameters of the vertical axis wind turbine generator in the vertical axis wind farm, and the wind flow field is simulated over the entire wind farm to obtain the wind acceleration factor of any point in space relative to the preset anemometer tower position. Multiply the measured hourly wind speed data at the preset wind measurement tower with the wind acceleration factor at the corresponding point to obtain the annual wind speed sequence at the hub height of each vertical axis wind turbine. According to the preset sector division rules, the annual wind speed sequence is statistically analyzed to obtain the average wind speed and wind direction frequency of each preset sector. By fitting a Weibull distribution function to the annual wind speed sequence, the scale and shape parameters of each preset sector are determined.
[0006] Optionally, based on the power curve of the vertical axis wind turbine and the scale and shape parameters of multiple preset sectors in the wind resource distribution parameters, the theoretical power generation of each vertical axis wind turbine is determined, including: The wind speed range in the wind resource distribution parameters is divided into multiple wind speed intervals according to preset intervals; Based on the power curve of the vertical axis wind turbine, determine the power value of the vertical axis wind turbine in each wind speed range; Based on the power values of vertical axis wind turbine generators in each wind speed range, using the formula... Determine the theoretical power generation of each vertical axis wind turbine. ; in, This represents the duration of the i-th wind speed interval; This represents the power value for the i-th wind speed range; , represents the average wind speed of the i-th wind speed interval; A represents the scale parameter of the preset sector; K represents the shape parameter of the preset sector.
[0007] Optionally, the preset universal wake value standard library is constructed in the following ways, including: Based on the basic parameters of vertical axis wind turbine generators in a vertical axis wind farm, taking the current position of a single vertical axis wind turbine generator as the origin of the coordinate system, a single interference source generator is assumed to be arranged at different preset distances from the single vertical axis wind turbine generator, and the steady flow direction is set from the assumed interference source generator to the position of the single vertical axis wind turbine generator. For the wind speed values of multiple preset sectors at different hub heights, the wind speed values range from the cut-in wind speed to the cut-out wind speed of the vertical axis wind turbine generator set, with preset wind speeds as intervals, and the predicted wake impact values of a single vertical axis wind turbine generator set and the interference source unit are calculated under different preset distance conditions. By associating all the calculated predicted wake impact values with the corresponding preset distances and the corresponding average wind speeds, a general standard library of wake values is obtained.
[0008] Optionally, based on the basic parameters and a preset universal wake value standard library, the first wake value corresponding to each vertical axis wind turbine in each preset sector is determined by the average wind speed of each vertical axis wind turbine in multiple preset sectors and the first distance between adjacent vertical axis wind turbines, including: Based on the aforementioned basic parameters, for each preset sector of each vertical axis wind turbine generator set, it is determined whether there are adjacent vertical axis wind turbine generator sets in the direction corresponding to each preset sector of each vertical axis wind turbine generator set. If no vertical axis wind turbine is stored, the first wake value corresponding to the current preset sector of the current vertical axis wind turbine is set to zero. If a vertical axis wind turbine exists, the first distance between the current vertical axis wind turbine and the adjacent vertical axis wind turbine is measured, and it is determined whether the first distance is within a preset distance range. When the first distance is within the preset distance range, based on a preset universal wake value standard library, the first wake value corresponding to the current vertical axis wind turbine in the current preset sector is determined by the average wind speed of the current preset sector and the first distance. When the first distance is not within the preset distance range, the first wake value corresponding to the current preset sector of the current vertical axis wind turbine is set to zero.
[0009] Optionally, based on the wind direction frequency and the first wake value, a target wake value for each vertical axis wind turbine is determined, including: Based on the wind direction frequency and the first wake value, using the formula Determine the target wake value for each vertical axis wind turbine. ; Where m is the total number of preset sectors for each vertical axis wind turbine generator set; This represents the wind direction frequency corresponding to the e-th preset sector; This represents the first wake value corresponding to the e-th preset sector.
[0010] Optionally, the target power generation of the vertical axis wind farm is determined based on the target wake value and theoretical power generation of each vertical axis wind turbine, including: Based on the target wake value and theoretical power generation of each vertical axis wind turbine, using the formula... Determine the actual power generation of each vertical axis wind turbine generator; among which, This represents the actual power generation of the j-th vertical axis wind turbine generator. This represents the theoretical power generation of the j-th vertical axis wind turbine generator; This represents the target wake value of the j-th vertical axis wind turbine generator; The target power generation of the vertical axis wind farm is obtained by summing up the actual power generation of all vertical axis wind turbines in the vertical axis wind farm.
[0011] Embodiments of the present invention also provide a device for determining the power generation of a vertical axis wind farm, comprising: The acquisition module is used to acquire the basic parameters of the vertical axis wind turbine generators in the vertical axis wind farm and the wind resource distribution parameters at the current hub height of each vertical axis wind turbine generator. The wind resource distribution parameters include: the average wind speed, wind direction frequency, scale parameters and shape parameters of multiple preset sectors. The data processing module is used to determine the theoretical power generation of each vertical axis wind turbine based on the power curve of the vertical axis wind turbine and the scale and shape parameters of multiple preset sectors in the wind resource distribution parameters; to determine the first wake value corresponding to each vertical axis wind turbine based on the basic parameters and a preset universal wake value standard library, using the average wind speed of each vertical axis wind turbine in multiple preset sectors and the first distance between adjacent vertical axis wind turbines; to determine the target wake value of each vertical axis wind turbine based on the wind direction frequency and the first wake value; and to determine the target power generation of the vertical axis wind farm based on the target wake value and theoretical power generation of each vertical axis wind turbine.
[0012] Embodiments of the present invention also provide a computing device, including: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method described above.
[0013] Embodiments of the present invention also provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method described above.
[0014] The above-described solution of the present invention has at least the following beneficial effects: The method for determining the power generation of a vertical axis wind farm according to the present invention involves obtaining the basic parameters of the vertical axis wind turbine generators in the vertical axis wind farm and the wind resource distribution parameters at the hub height of each vertical axis wind turbine generator at its current position. The wind resource distribution parameters include: average wind speed, wind direction frequency, scale parameters, and shape parameters of multiple preset sectors. Based on the power curve of the vertical axis wind turbine generator and the scale and shape parameters of the multiple preset sectors in the wind resource distribution parameters, the theoretical power generation of each vertical axis wind turbine generator is determined. Based on the basic parameters and a preset universal wake value standard library, a first wake value corresponding to each vertical axis wind turbine generator is determined using the average wind speed of each vertical axis wind turbine generator in multiple preset sectors and the first distance between adjacent vertical axis wind turbine generators. Based on the wind direction frequency and the first wake value, a target wake value for each vertical axis wind turbine generator is determined. Finally, based on the target wake value and theoretical power generation of each vertical axis wind turbine generator, the target power generation of the vertical axis wind farm is determined. It enables rapid and accurate assessment of power generation in vertical axis wind farms, while reducing computational complexity and improving the accuracy of economic benefit assessment and investment decision-making. Attached Figure Description
[0015] Figure 1 This is a flowchart illustrating the method for determining the power generation of a vertical axis wind farm according to the present invention. Figure 2 This is a schematic diagram of the module of the device for determining the power generation of a vertical axis wind farm according to the present invention. Detailed Implementation
[0016] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this invention will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
[0017] like Figure 1 As shown, an embodiment of the present invention provides a method for determining the power generation of a vertical axis wind farm, including: Step 11: Obtain the basic parameters of the vertical axis wind turbine generators in the vertical axis wind farm and the wind resource distribution parameters at the current hub height of each vertical axis wind turbine generator. The wind resource distribution parameters include: the average wind speed, wind direction frequency, scale parameters, and shape parameters of multiple preset sectors. Step 12: Determine the theoretical power generation of each vertical axis wind turbine based on the power curve of the vertical axis wind turbine and the scale and shape parameters of multiple preset sectors in the wind resource distribution parameters. Step 13: Based on the basic parameters and the preset general wake value standard library, determine the first wake value corresponding to each vertical axis wind turbine by the average wind speed of each vertical axis wind turbine in multiple preset sectors and the first distance between it and its adjacent vertical axis wind turbines. Step 14: Determine the target wake value for each vertical axis wind turbine based on the wind direction frequency and the first wake value; Step 15: Determine the target power generation of the vertical axis wind farm based on the target wake value and theoretical power generation of each vertical axis wind turbine.
[0018] In this embodiment, the target wake value refers to the reduction in theoretical power generation caused by changes in airflow due to terrain changes or the mutual influence of wind turbine generators. It is usually expressed as an attenuation ratio. In this embodiment, the target wake value is mainly used to represent the value caused by the mutual influence of wind turbine generators. The solution of this invention is mainly used in flat terrain scenarios, where the influence of terrain does not need to be considered. The basic parameters of the vertical axis wind turbine generators in the vertical axis wind farm include: the power curve of the vertical axis wind turbine generators under the local air density, the cut-in wind speed, the cut-out wind speed, the hub height, the wind farm topographic map, the vertical axis wind turbine generator layout and positioning map, and the distance between each wind turbine generator and other adjacent wind turbine generators in the vertical axis wind farm. The wind resource distribution parameters are measured hourly wind data containing wind speed and wind direction information for no less than one complete wind measurement year.
[0019] In this embodiment, the method for determining the power generation of a vertical axis wind farm, through the design of rapid and accurate calculation of wake values, achieves accurate prediction of the power generation of the entire power plant, while reducing the calculation difficulty and improving the accuracy of economic benefit assessment and investment decision-making. Furthermore, because this method can be combined with on-site wind measurement equipment, it improves the accuracy of prediction for individual vertical axis wind turbine generators, enabling reasonable management of each vertical axis wind turbine generator. It also allows for programmed calculation using a computational language, providing fast calculation methods suitable for practical engineering applications. In practical engineering, this method can quickly estimate the expected power generation of a vertical axis wind farm based on preset drawings. It is applicable to frontline engineers without a professional fluid mechanics background, improving the accuracy of power generation assessment for the entire vertical axis wind farm and individual wind turbine generators without significantly increasing their workload.
[0020] In an optional embodiment of the present invention, obtaining the wind resource distribution parameters at the hub height of the current position of each vertical axis wind turbine generator in the vertical axis wind farm in step 11 may include: Step 111: Construct a three-dimensional computational domain based on the basic parameters of the vertical axis wind turbine generators in the vertical axis wind farm (vertical axis wind farm topographic map), and perform wind flow field simulation on the entire wind farm to obtain the wind acceleration factor of any point in space relative to the preset anemometer tower position. Step 112: Multiply the measured hourly wind speed data at the preset wind measurement tower with the wind acceleration factor at the corresponding point to obtain the annual wind speed sequence at the hub height of each vertical axis wind turbine. Step 113: According to the preset sector division rules, perform statistical analysis on the annual wind speed sequence to obtain the average wind speed and wind direction frequency of each preset sector; Step 114: Fit the Weibull distribution function based on the annual wind speed sequence to determine the scale parameters and shape parameters of each preset sector.
[0021] In this embodiment, the preset sector uses a 16-directional representation to divide the 360° horizontal circumference into 16 sector regions. Each sector corresponds to an angle range of 22.5° and represents a direction. The 16 specific directions include: North, North-Northeast, Northeast, Northeast-East, East, Southeast-East, Southeast, South-Southeast, South, South-Southwest, Southwest, West, Northwest-West, Northwest, and North-Northwest. In this embodiment, by employing computational fluid dynamics technology to simulate the wind flow field in the entire three-dimensional space, the wind acceleration factor under different wind conditions at any point in the space can be obtained, that is, the linkage relationship of all points in the entire three-dimensional space can be obtained. When the complete annual wind speed data of the meteorological tower is input... In this case, the wind acceleration factor at the anemometer tower can be correlated with the acceleration factor at any point in space, thereby extrapolating the actual wind speed horizontally or vertically to the entire three-dimensional wind energy resource map, and calculating the wind resource distribution at the hub height of the selected location; the height of the anemometer tower is the same as the height of the vertical axis wind turbine generator; the wind resource distribution parameters mainly include: average wind speed, wind direction frequency, scale parameter, and shape parameter of each preset sector; in this embodiment, the scale parameter and shape parameter in the wind resource distribution parameters determine the shape and position of the distribution curve; the scale parameter reflects the overall level of wind speed or event, and the larger the value, the more the distribution curve extends to the right; the shape parameter determines the shape of the distribution curve.
[0022] In an optional embodiment of the present invention, step 12, determining the theoretical power generation of each vertical axis wind turbine based on the power curve of the vertical axis wind turbine and the scale and shape parameters of multiple preset sectors in the wind resource distribution parameters, may include: Step 121: Divide the wind speed range in the wind resource distribution parameters into multiple wind speed intervals according to preset intervals; Step 122: Determine the power value of the vertical axis wind turbine in each wind speed range based on the power curve of the vertical axis wind turbine. Step 123: Based on the power value of the vertical axis wind turbine generator in each wind speed range, use the formula... Determine the theoretical power generation of each vertical axis wind turbine. ; in, This represents the duration of the i-th wind speed interval; This represents the power value for the i-th wind speed range; , represents the average wind speed of the i-th wind speed interval; A represents the scale parameter of the preset sector; K represents the shape parameter of the preset sector.
[0023] In this embodiment, by using the preset sector scale and shape parameters, combined with the power curve of the vertical axis wind turbine to be installed, the Weibull distribution and the power curve of the vertical axis wind turbine are integrated to calculate the theoretical annual power generation of each vertical axis wind turbine, thus providing technical support for the subsequent calculation of actual power generation.
[0024] In an optional embodiment of the present invention, the preset universal wake value standard library mentioned in step 13 is constructed in the following manner, which may include: Step 1301: Based on the basic parameters of the vertical axis wind turbine generators in the vertical axis wind farm, with the current position of a single vertical axis wind turbine generator as the origin of the coordinate system, assume that a single interference source generator is arranged at different preset distances from the single vertical axis wind turbine generator, and set the steady flow direction to point from the assumed interference source generator to the position of the single vertical axis wind turbine generator. Step 1302: For the wind speed values of multiple preset sectors at different hub heights, the wind speed values range from the cut-in wind speed to the cut-out wind speed of the vertical axis wind turbine generator set, with the preset wind speed as the interval, calculate the predicted wake impact values of a single vertical axis wind turbine generator set and the interference source unit under different preset distance conditions. Step 1303: Associate all the calculated predicted wake impact values with the corresponding preset distance and the corresponding average wind speed to obtain a general standard library of wake values.
[0025] In this embodiment, the interference source unit refers to the vertical axis wind turbine unit adjacent to the vertical axis wind turbine unit. Using computational fluid dynamics, a typical vertical axis wind turbine unit is simulated under different wind speed conditions (from cut-in wind speed to cut-out wind speed) and different downstream distances (1D to 20D, where D is the rotor diameter). The computational domain adopts a rotating-stationary domain partitioning strategy: the rotating domain is a cylindrical region enclosing the blades, using a sliding mesh technique to simulate rotor rotation; the stationary domain covers the wake development zone from the inlet to the farthest monitoring section. The physical model uses an unsteady Reynolds-averaged equation combined with k-ω. The SST turbulence model employs velocity boundary conditions at the inlet and pressure outlet conditions at the outlet. Unsteady solutions are applied for each wind speed condition until the flow field reaches periodic stability (peak variation coefficient <2% over 5 consecutive rotational cycles). The time-averaged flow velocities at multiple downstream monitoring sections (corresponding to different distances L) are extracted, and dimensionless wake values are calculated. All condition data are compiled to form a two-dimensional wake influence data matrix of wind speed and distance. After data quality verification, fixed-distance and fixed-wind-speed curves are generated, forming a general standard library for wake influence. The wake influence values of a single vertical-axis wind turbine generator under different distance conditions are calculated using the above method, constituting the wake. The database is a general database; different distances range from 1D to 20D (D is the rotor diameter of the vertical axis wind turbine); the standard library can be constructed using a single calculation of a typical vertical axis wind turbine, or multiple typical vertical axis wind turbines can be used to improve calculation accuracy, selected for different actual projects; during calculation, the distance between vertical axis wind turbines is calculated in integer multiples of D, and the wake values at other distances are calculated using a linear difference method; specifically, computational fluid dynamics methods are used to calculate the wake influence value of a single vertical axis wind turbine under different distance conditions, with the calculation starting at the hub height (H). hub Using a steady incoming flow as the initial input condition, and the calculated location of the vertical axis wind turbine generator as the coordinate origin, different distances upstream are used for the calculation. Assuming a single interference source unit is deployed, the incoming flow direction is defined as from the assumed interference source unit towards the computer group location (along the +X direction); for different hub height conditions, the wind speed is defined as the cut-in wind speed. Cut-off air velocity The system performs iterative calculations at 0.1 m / s intervals for each operating condition, ultimately outputting a full-condition dataset of wake impact values. Geometric modeling employs a partitioning strategy, establishing a computational domain comprising a rotating domain and a stationary domain. The rotating domain is a cylindrical region enclosing the turbine blades of the interference source, and a sliding mesh technique is used to realize rotor rotation. The stationary domain covers the wake development area from the inlet boundary to the farthest monitoring section. The computational domain dimensions strictly adhere to the general principles of numerical fluid dynamics calculations: an upstream distance greater than or equal to 5D ensures the inlet does not affect the blade inflow, and a downstream distance greater than or equal to... , This indicates the furthest distance at which a single interference source unit can be deployed, ensuring that the furthest monitoring section is far from the outlet boundary, with a lateral width greater than or equal to 10D, a control blockage ratio less than 5%, and a height greater than or equal to 3H. hub To avoid suppressing wake diffusion at the top boundary, a partitioning strategy was adopted, consisting of a structured boundary layer mesh on the blade surface, an unstructured refined mesh in the rotating domain, an anisotropic refined mesh in the wake region, and a coarsened transition mesh in the far field. The physical model used was the unsteady Reynolds-averaged method, employing a turbulence model that met computational requirements to balance near-wall accuracy and wake prediction capability. Boundary conditions were set: a velocity inlet condition was used at the inlet, with velocity values... For parameterized variables; pressure outlet conditions are used for the outlet; symmetry conditions are used for the side and top surfaces; no-slip wall conditions are used for the blade surfaces; a slip mesh interface is used for the rotational domain interface; the rotational speed is based on the optimal tip speed ratio. Depend on Calculation; the time step is set to be greater than or equal to 360 steps per cycle (i.e., The setting is less than or equal to 1 degree to ensure the time resolution of the rotational motion. The final calculation parameters are determined through mesh independence verification and time step sensitivity analysis; the parameterized calculation uses wind speed as the outer loop variable, starting from... to All operating conditions are traversed in a step size of 0.1 m / s; the first operating condition performs a complete flow field initialization, and subsequent operating conditions adopt an inherited field restart strategy, reading the converged solution of the previous operating condition as the initial field and updating the inlet velocity and rotational speed, which can save 30%-50% of the computation time; each operating condition is unsteady solved until the flow field reaches periodic stability (continuous) Peak variation coefficient per cycle (less than 1%), multiple downstream monitoring sections (corresponding to different distances) are arranged in the same calculation. This allows for a single solution and multi-distance output; after the flow field stabilizes, the final... The monitoring cross-sectional data for each complete cycle are averaged by cross-sectional and time-based methods to obtain the distance values. Average flow velocity at location Wake impact value according to Calculate and characterize the dimensionless velocity deficit at that distance; after all working conditions are calculated, summarize to form The wake influences the data matrix, where For wind speed operating conditions, To monitor distances, the data undergoes range testing, trend testing, and continuity testing to generate a fixed distance curve. With constant wind speed curve It provides theoretical data support for wind farm micro-site selection, unit layout optimization and power generation assessment.
[0026] In this embodiment, the method for determining the power generation of a vertical axis wind farm uses computational fluid dynamics to construct a fluid dynamics model, thereby determining the wake value between a single vertical axis wind turbine and a single vertical axis wind turbine under different distances and wind speeds, thus constructing a universal standard library of wake values. During use, the wake value of the vertical axis wind turbine in the corresponding preset sector can be directly determined based on the distance value and the corresponding average wind speed, thereby accelerating the calculation speed. This design allows all the required wake value parameters to be obtained by only building a model with two vertical axis wind turbine scenarios once. Moreover, the current universal standard library of wake values is applicable to all flat terrains, eliminating the need for complex overall modeling based on the actual scenario of each vertical axis wind farm, thus reducing the calculation difficulty and workload of wake values.
[0027] In an optional embodiment of the present invention, step 13, determining the first wake value corresponding to each vertical axis wind turbine in each preset sector based on the basic parameters and a preset universal wake value standard library, using the average wind speed of each vertical axis wind turbine in multiple preset sectors and the first distance between adjacent vertical axis wind turbines, may include: Step 131: Based on the basic parameters, for each preset sector of each vertical axis wind turbine generator set, determine whether there are adjacent vertical axis wind turbine generator sets in the direction corresponding to each preset sector of each vertical axis wind turbine generator set. Step 132: If no vertical axis wind turbine generator is stored, set the first wake value corresponding to the current preset sector of the current vertical axis wind turbine generator to zero. Step 133: If a vertical axis wind turbine exists, measure the first distance between the current vertical axis wind turbine and the adjacent vertical axis wind turbine, and determine whether the first distance is within a preset distance range. When the first distance is within the preset distance range, based on a preset universal wake value standard library, determine the first wake value corresponding to the current vertical axis wind turbine in the current preset sector using the average wind speed of the current preset sector and the first distance. When the first distance is not within the preset distance range, set the first wake value corresponding to the current preset sector of the current vertical axis wind turbine to zero.
[0028] In this embodiment, the adjacent vertical axis wind turbine refers to the vertical axis wind turbine closest to the current vertical axis wind turbine. The first distance can be determined by analyzing the actual engineering vertical axis wind turbine layout and positioning map, using the sector distribution as a benchmark, and measuring the first distance between the calculated vertical axis wind turbine and the adjacent vertical axis wind turbine in each sector. The preset distance range is set according to the rotor diameter D of the vertical axis wind turbine, and can be set from 1D to 20D. If there is no adjacent vertical axis wind turbine in the current preset sector or the first distance exceeds 20D, the first wake value is considered to be zero. In this embodiment, since the number of small wind turbine wind farms is small, only the influence between adjacent wind turbines is considered. For other wind turbines that are too far away, the wake effect of multiple wind turbines superimposed is small due to the natural recovery of atmospheric airflow, and this invention does not consider them. Different sectors are not limited to 16-directional sectors; other sectors can be used, but should be consistent with the sector analysis method used in the above steps.
[0029] In this embodiment, based on a preset universal wake value standard library, the first wake value of the current vertical axis wind turbine generator in the current preset sector is determined by the average wind speed and the first distance of the current preset sector. This includes: using the average wind speed of the current vertical axis wind turbine generator in the current preset sector and the first distance between it and the adjacent vertical axis wind turbine generator as indexes, querying the preset universal wake value standard library, finding the corresponding predicted wake influence value in the wake value standard library, and outputting the predicted wake influence value as the first wake value of the current vertical axis wind turbine generator.
[0030] In an optional embodiment of the present invention, step 14, determining the target wake value for each vertical axis wind turbine based on the wind direction frequency and the first wake value, may include: Step 141, based on the wind direction frequency and the first wake value, using the formula... Determine the target wake value for each vertical axis wind turbine. ; Where m is the total number of preset sectors for each vertical axis wind turbine generator set; This represents the wind direction frequency corresponding to the e-th preset sector; This represents the first wake value corresponding to the e-th preset sector.
[0031] In this embodiment, for each preset sector, the first wake value of the current preset sector is multiplied by the wind direction frequency of that sector to obtain the weighted wake contribution value of that sector; the weighted wake contribution values of all preset sectors are summed to obtain the target wake value of the current vertical axis wind turbine.
[0032] In an optional embodiment of the present invention, step 15, determining the target power generation of the vertical axis wind farm based on the target wake value and theoretical power generation of each vertical axis wind turbine generator, may include: Step 151: Based on the target wake value and theoretical power generation of each vertical axis wind turbine generator set, use the formula... Determine the actual power generation of each vertical axis wind turbine generator; among which, This represents the actual power generation of the j-th vertical axis wind turbine generator. This represents the theoretical power generation of the j-th vertical axis wind turbine generator; This represents the target wake value of the j-th vertical axis wind turbine generator; Step 152: Sum the actual power generation of all vertical axis wind turbine generators in the vertical axis wind farm to obtain the target power generation of the vertical axis wind farm.
[0033] In this embodiment, step 151 further improves the accuracy of actual power generation calculation by eliminating the influence of the target wake value based on the theoretical power generation; step 152 specifically involves using the formula... Determine the target power generation of the vertical axis wind farm; where N is the total number of vertical axis wind turbine generators in the vertical axis wind farm.
[0034] The method for determining the power generation of a vertical axis wind farm described in this invention accurately obtains the wind energy resource map of the wind farm area through measured wind data and topographic maps of actual projects, and determines the wind resource distribution at the hub height of the selected location. The theoretical power generation at this location is quickly calculated using the A and K methods. A general database of typical wake values based on wind speed and distance is constructed using typical vertical axis wind turbine generators. Wake values are also obtained by weighting the typical wake database of vertical axis wind turbine generators with wind direction sectors. Based on the wake values and theoretical values, the target power generation design is obtained. This method enables fast calculation of the power generation of a vertical axis wind farm and accurate prediction of the power generation of the entire power plant in the engineering field, while reducing the calculation difficulty and improving the accuracy of economic benefit assessment and investment decision-making.
[0035] like Figure 2 As shown, an embodiment of the present invention provides a device 20 for determining the power generation of a vertical axis wind farm, comprising: The acquisition module 201 is used to acquire the basic parameters of the vertical axis wind turbine generators in the vertical axis wind farm and the wind resource distribution parameters at the current position hub height of each vertical axis wind turbine generator. The wind resource distribution parameters include: the average wind speed, wind direction frequency, scale parameters and shape parameters of multiple preset sectors. The data processing module 202 is used to determine the theoretical power generation of each vertical axis wind turbine based on the power curve of the vertical axis wind turbine and the scale and shape parameters of multiple preset sectors in the wind resource distribution parameters; to determine the first wake value corresponding to each vertical axis wind turbine based on the basic parameters and the preset general wake value standard library, through the average wind speed of each vertical axis wind turbine in multiple preset sectors and the distance between adjacent vertical axis wind turbines; to determine the target wake value of each vertical axis wind turbine based on the wind direction frequency and the first wake value; and to determine the target power generation of the vertical axis wind farm based on the target wake value and theoretical power generation of each vertical axis wind turbine.
[0036] Optionally, based on the power curve of the vertical axis wind turbine and the scale and shape parameters of multiple preset sectors in the wind resource distribution parameters, the theoretical power generation of each vertical axis wind turbine is determined, including: The wind speed range in the wind resource distribution parameters is divided into multiple wind speed intervals according to preset intervals; Based on the power curve of the vertical axis wind turbine, determine the power value of the vertical axis wind turbine in each wind speed range; Based on the power values of vertical axis wind turbine generators in each wind speed range, using the formula... Determine the theoretical power generation of each vertical axis wind turbine. ; in, This represents the duration of the i-th wind speed interval; This represents the power value for the i-th wind speed range; , represents the average wind speed of the i-th wind speed interval; A represents the scale parameter of the preset sector; K represents the shape parameter of the preset sector.
[0037] Optionally, the preset universal wake value standard library is constructed in the following ways, including: Based on the basic parameters of vertical axis wind turbine generators in a vertical axis wind farm, taking the current position of a single vertical axis wind turbine generator as the origin of the coordinate system, a single interference source generator is assumed to be arranged at different preset distances from the single vertical axis wind turbine generator, and the steady flow direction is set from the assumed interference source generator to the position of the single vertical axis wind turbine generator. For the wind speed values of multiple preset sectors at different hub heights, the wind speed values range from the cut-in wind speed to the cut-out wind speed of the vertical axis wind turbine generator set, with preset wind speeds as intervals, and the predicted wake impact values of a single vertical axis wind turbine generator set and the interference source unit are calculated under different preset distance conditions. By associating all the calculated predicted wake impact values with the corresponding preset distances and the corresponding average wind speeds, a general standard library of wake values is obtained.
[0038] Optionally, based on the basic parameters and a preset universal wake value standard library, the first wake value corresponding to each vertical axis wind turbine in each preset sector is determined by the average wind speed of each vertical axis wind turbine in multiple preset sectors and the first distance between adjacent vertical axis wind turbines, including: Based on the aforementioned basic parameters, for each preset sector of each vertical axis wind turbine generator set, it is determined whether there are adjacent vertical axis wind turbine generator sets in the direction corresponding to each preset sector of each vertical axis wind turbine generator set. If no vertical axis wind turbine is stored, the first wake value corresponding to the current preset sector of the current vertical axis wind turbine is set to zero. If a vertical axis wind turbine exists, the first distance between the current vertical axis wind turbine and the adjacent vertical axis wind turbine is measured, and it is determined whether the first distance is within a preset distance range. When the first distance is within the preset distance range, based on a preset universal wake value standard library, the first wake value corresponding to the current vertical axis wind turbine in the current preset sector is determined by the average wind speed of the current preset sector and the first distance. When the first distance is not within the preset distance range, the first wake value corresponding to the current preset sector of the current vertical axis wind turbine is set to zero.
[0039] Optionally, based on the wind direction frequency and the first wake value, a target wake value for each vertical axis wind turbine is determined, including: Based on the wind direction frequency and the first wake value, using the formula Determine the target wake value for each vertical axis wind turbine. ; Where m is the total number of preset sectors for each vertical axis wind turbine generator set; This represents the wind direction frequency corresponding to the e-th preset sector; This represents the first wake value corresponding to the e-th preset sector.
[0040] Optionally, the target power generation of the vertical axis wind farm is determined based on the target wake value and theoretical power generation of each vertical axis wind turbine, including: Based on the target wake value and theoretical power generation of each vertical axis wind turbine, using the formula... Determine the actual power generation of each vertical axis wind turbine generator; among which, This represents the actual power generation of the j-th vertical axis wind turbine generator. This represents the theoretical power generation of the j-th vertical axis wind turbine generator; This represents the target wake value of the j-th vertical axis wind turbine generator; The target power generation of the vertical axis wind farm is obtained by summing up the actual power generation of all vertical axis wind turbines in the vertical axis wind farm.
[0041] It should be noted that this device is the same as the method described above. All implementation methods in the above method embodiments are applicable to the embodiments of this system and can achieve the same technical effect.
[0042] Embodiments of the present invention also provide a computing device, including: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method described above. All implementations in the above method embodiments are applicable to this embodiment and can achieve the same technical effects.
[0043] Embodiments of the present invention also provide a computer-readable storage medium including instructions that, when executed on a computer, cause the computer to perform the method described above. All implementations in the above method embodiments are applicable to this embodiment and can achieve the same technical effects.
[0044] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.
[0045] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0046] In the embodiments provided by this invention, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.
[0047] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0048] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.
[0049] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.
[0050] Furthermore, it should be noted that in the apparatus and method of the present invention, it is obvious that the components or steps can be decomposed and / or recombined. These decompositions and / or recombinations should be considered equivalent solutions of the present invention. Moreover, the steps performing the above series of processes can naturally be executed in the order described, but are not necessarily required to be executed in chronological order; some steps can be executed in parallel or independently of each other. Those skilled in the art will understand that all or any step or component of the method and apparatus of the present invention can be implemented in any computing device (including processors, storage media, etc.) or network of computing devices, in hardware, firmware, software, or a combination thereof. This is something that those skilled in the art can achieve by using their basic programming skills after reading the description of the present invention.
[0051] Therefore, the object of the present invention can also be achieved by running a program or a set of programs on any computing device. The computing device can be a known general-purpose device. Therefore, the object of the present invention can also be achieved simply by providing a program product containing program code implementing the method or apparatus. That is, such a program product also constitutes the present invention, and the storage medium storing such a program product also constitutes the present invention. Obviously, the storage medium can be any known storage medium or any storage medium developed in the future. It should also be noted that in the apparatus and method of the present invention, it is obvious that the components or steps can be decomposed and / or recombined. These decompositions and / or recombinations should be considered equivalent to the present invention. Furthermore, the steps performing the above series of processes can naturally be performed in the order described, but are not necessarily required to be performed in chronological order. Some steps can be performed in parallel or independently of each other.
[0052] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.
Claims
1. A method for determining the power generation of a vertical axis wind farm, characterized in that, include: The basic parameters of the vertical axis wind turbine generators in the vertical axis wind farm and the wind resource distribution parameters at the hub height of the current position of each vertical axis wind turbine generator are obtained. The wind resource distribution parameters include: the average wind speed, wind direction frequency, scale parameters and shape parameters of multiple preset sectors. The theoretical power generation of each vertical axis wind turbine is determined based on the power curve of the vertical axis wind turbine and the scale and shape parameters of multiple preset sectors in the wind resource distribution parameters. Based on the basic parameters and the preset general wake value standard library, the first wake value corresponding to each vertical axis wind turbine is determined by the average wind speed of each vertical axis wind turbine in multiple preset sectors and the first distance between it and its adjacent vertical axis wind turbines. Based on the wind direction frequency and the first wake value, the target wake value for each vertical axis wind turbine is determined; The target power generation of the vertical axis wind farm is determined based on the target wake value and theoretical power generation of each vertical axis wind turbine.
2. The method for determining the power generation of a vertical axis wind farm according to claim 1, characterized in that, Obtain wind resource distribution parameters at the hub height of each vertical axis wind turbine in a vertical axis wind farm at its current location, including: A three-dimensional computational domain is constructed based on the basic parameters of the vertical axis wind turbine generator in the vertical axis wind farm, and the wind flow field is simulated over the entire wind farm to obtain the wind acceleration factor of any point in space relative to the preset anemometer tower position. Multiply the measured hourly wind speed data at the preset wind measurement tower with the wind acceleration factor at the corresponding point to obtain the annual wind speed sequence at the hub height of each vertical axis wind turbine. According to the preset sector division rules, the annual wind speed sequence is statistically analyzed to obtain the average wind speed and wind direction frequency of each preset sector. By fitting a Weibull distribution function to the annual wind speed sequence, the scale and shape parameters of each preset sector are determined.
3. The method for determining the power generation of a vertical axis wind farm according to claim 1, characterized in that, Based on the power curve of the vertical axis wind turbine generator set and the scale and shape parameters of multiple preset sectors in the wind resource distribution parameters, the theoretical power generation of each vertical axis wind turbine generator set is determined, including: The wind speed range in the wind resource distribution parameters is divided into multiple wind speed intervals according to preset intervals; Based on the power curve of the vertical axis wind turbine, determine the power value of the vertical axis wind turbine in each wind speed range; Based on the power values of vertical axis wind turbine generators in each wind speed range, using the formula... Determine the theoretical power generation of each vertical axis wind turbine. ; in, This represents the duration of the i-th wind speed interval; This represents the power value for the i-th wind speed range; , represents the average wind speed of the i-th wind speed interval; A represents the scale parameter of the preset sector; K represents the shape parameter of the preset sector.
4. The method for determining the power generation of a vertical axis wind farm according to claim 1, characterized in that, The preset universal wake value standard library is constructed in the following ways, including: Based on the basic parameters of vertical axis wind turbine generators in a vertical axis wind farm, taking the current position of a single vertical axis wind turbine generator as the origin of the coordinate system, a single interference source generator is assumed to be arranged at different preset distances from the single vertical axis wind turbine generator, and the steady flow direction is set from the assumed interference source generator to the position of the single vertical axis wind turbine generator. For the wind speed values of multiple preset sectors at different hub heights, the wind speed values range from the cut-in wind speed to the cut-out wind speed of the vertical axis wind turbine generator set, with preset wind speeds as intervals, and the predicted wake impact values of a single vertical axis wind turbine generator set and the interference source unit are calculated under different preset distance conditions. By associating all the calculated predicted wake impact values with the corresponding preset distances and the corresponding average wind speeds, a general standard library of wake values is obtained.
5. The method for determining the power generation of a vertical axis wind farm according to claim 1, characterized in that, Based on the aforementioned basic parameters and a preset universal wake value standard library, the first wake value corresponding to each vertical axis wind turbine in each preset sector is determined by the average wind speed of each vertical axis wind turbine in multiple preset sectors and the first distance between adjacent vertical axis wind turbines, including: Based on the aforementioned basic parameters, for each preset sector of each vertical axis wind turbine generator set, it is determined whether there are adjacent vertical axis wind turbine generator sets in the direction corresponding to each preset sector of each vertical axis wind turbine generator set. If no vertical axis wind turbine is stored, the first wake value corresponding to the current preset sector of the current vertical axis wind turbine is set to zero. If a vertical axis wind turbine exists, the first distance between the current vertical axis wind turbine and the adjacent vertical axis wind turbine is measured, and it is determined whether the first distance is within a preset distance range. When the first distance is within the preset distance range, based on a preset universal wake value standard library, the first wake value corresponding to the current vertical axis wind turbine in the current preset sector is determined by the average wind speed of the current preset sector and the first distance. When the first distance is not within the preset distance range, the first wake value corresponding to the current preset sector of the current vertical axis wind turbine is set to zero.
6. The method for determining the power generation of a vertical axis wind farm according to claim 1, characterized in that, Based on the wind direction frequency and the first wake value, the target wake value for each vertical axis wind turbine is determined, including: Based on the wind direction frequency and the first wake value, using the formula Determine the target wake value for each vertical axis wind turbine. ; Where m is the total number of preset sectors for each vertical axis wind turbine generator set; This represents the wind direction frequency corresponding to the e-th preset sector; This represents the first wake value corresponding to the e-th preset sector.
7. The method for determining the power generation of a vertical axis wind farm according to claim 1, characterized in that, Based on the target wake value and theoretical power generation of each vertical axis wind turbine, the target power generation of the vertical axis wind farm is determined, including: Based on the target wake value and theoretical power generation of each vertical axis wind turbine, using the formula... Determine the actual power generation of each vertical axis wind turbine generator; among which, This represents the actual power generation of the j-th vertical axis wind turbine generator. This represents the theoretical power generation of the j-th vertical axis wind turbine generator; This represents the target wake value of the j-th vertical axis wind turbine generator; The target power generation of the vertical axis wind farm is obtained by summing up the actual power generation of all vertical axis wind turbines in the vertical axis wind farm.
8. A device for determining the power generation of a vertical axis wind farm, characterized in that, include: The acquisition module is used to acquire the basic parameters of the vertical axis wind turbine generators in the vertical axis wind farm and the wind resource distribution parameters at the current hub height of each vertical axis wind turbine generator. The wind resource distribution parameters include: the average wind speed, wind direction frequency, scale parameters and shape parameters of multiple preset sectors. The data processing module is used to determine the theoretical power generation of each vertical axis wind turbine based on the power curve of the vertical axis wind turbine and the scale and shape parameters of multiple preset sectors in the wind resource distribution parameters; to determine the first wake value corresponding to each vertical axis wind turbine based on the basic parameters and a preset universal wake value standard library, using the average wind speed of each vertical axis wind turbine in multiple preset sectors and the first distance between adjacent vertical axis wind turbines; to determine the target wake value of each vertical axis wind turbine based on the wind direction frequency and the first wake value; and to determine the target power generation of the vertical axis wind farm based on the target wake value and theoretical power generation of each vertical axis wind turbine.
9. A computing device, characterized in that, include: A processor and a memory, wherein the memory stores a computer program that, when run on the processor, performs the method as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, A storage instruction that, when executed on a computer, causes the computer to perform the method as described in any one of claims 1 to 7.