Anemometer tower representativeness quantification method, system and device and storage medium
By quantifying the temporal and spatial representativeness of wind measurement towers and combining them with terrain features and historical data, a comprehensive representativeness index is calculated, which solves the problem of insufficient representativeness of wind measurement towers and ensures scientific decision-making and data accuracy for wind power projects.
Patent Information
- Application Number
- CN202511582904.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-31
- Publication Date
- 2026-01-13
AI Technical Summary
The lack of scientific evaluation standards for the representativeness of existing wind measurement towers leads to uncertainty in wind power project decision-making and insufficient data validity.
A quantitative method for the representativeness of wind measuring towers is adopted. By acquiring the temporal representativeness coefficient, spatial distance and elevation difference, terrain features and historical data, a comprehensive representativeness index is calculated to identify and verify the insufficient representativeness of wind measuring towers and set a confidence coefficient.
It enables the scientific and accurate identification of the risk of insufficient representativeness of wind measurement towers, reduces project investment risk, provides reliable decision-making basis, and ensures the reliability of wind farm site selection and power generation prediction.
Smart Images
Figure CN121329233A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application belongs to the field of wind power generation, and relates to a representative quantification method, system, device and storage medium of a wind measurement tower. BACKGROUND
[0002] Wind energy, as a clean energy, has the characteristics of zero carbon emission, renewable and abundant resources. Wind power generation is one of the most mature and commercialized renewable energy utilization methods, and its future development will have a profound impact on the global energy transformation process.
[0003] Wind resource assessment is the primary step of wind power project development, and the site selection and construction of a wind measurement tower are the core foundation work of wind resource assessment. The accuracy and representativeness of the wind measurement tower data directly determine the reliability of key decisions such as wind farm site selection, unit selection and power generation prediction.
[0004] Currently, in the early macro site selection stage of a wind power project, establishing a wind measurement tower is the main means to collect wind resource data, but the representativeness of the wind measurement tower lacks scientific evaluation standards, and the effectiveness of the data of the wind measurement tower cannot be guaranteed. In the actual resource assessment stage, the phenomenon of insufficient representativeness of the wind measurement tower often occurs, which brings uncertainty to the later resource assessment and directly leads to deviation in the decision-making of the project. SUMMARY
[0005] The purpose of the present application is to overcome the shortcomings of the prior art, and to provide a representative quantification method, system, device and storage medium of a wind measurement tower, which can accurately and efficiently carry out the checking and review of the wind measurement scheme, identify the potential risks of insufficient representativeness of the wind measurement tower of a wind farm, and provide guidance for the setting of the trust coefficient of the wind measurement tower in the modeling calculation process.
[0006] To achieve the above purpose, the present application adopts the following technical solutions: A representative quantification method of a wind measurement tower, comprising the following processes: obtaining a time representativeness coefficient of wind measurement data of the wind measurement tower; obtaining the horizontal distance and vertical height difference between each wind turbine point and the wind measurement tower; determining the horizontal distance geographical range and the vertical height difference geographical range with which the wind measurement tower has representativeness under different terrain conditions according to the terrain features and historical data of the wind farm area; obtaining the horizontal representativeness coefficient and the vertical representativeness coefficient of the wind measurement tower to each wind turbine point according to the horizontal distance, the vertical height difference between each wind turbine point and the wind measurement tower, and the corresponding geographical range; obtaining a comprehensive representativeness index of the wind measurement tower to each wind turbine point in the wind farm based on the time representativeness coefficient, the horizontal representativeness coefficient and the vertical representativeness coefficient of the wind measurement tower to each wind turbine point, and combining a micro-terrain influence coefficient and a wind measurement tower trust coefficient. Based on the comprehensive representative index of each fan point, the average representative index of the wind measurement tower to the entire wind farm is obtained.
[0007] Optionally, the process of obtaining the time representative coefficient of the wind measurement data of the wind measurement tower is as follows: The wind measurement data is processed to eliminate invalid data, and the completeness rate of the wind measurement data is obtained. Correlation analysis is performed on the wind measurement data at different heights to obtain the correlation coefficient of the interpolated data. The time representative coefficient of the wind measurement data is obtained by combining the completeness rate of the wind measurement data and the correlation coefficient of the interpolated data.
[0008] Optionally, the process of obtaining the horizontal distance and vertical height difference between each fan point and the wind measurement tower is as follows: The geographic coordinates of the wind measurement tower and the geographic coordinates of each fan point are obtained, and the geographic coordinates of the wind measurement tower and the geographic coordinates of each fan point are converted into three-dimensional coordinates in a unified coordinate system. Based on the three-dimensional coordinates, the horizontal distance and vertical height difference between each fan point and the wind measurement tower are obtained.
[0009] Optionally, the process of determining the representative horizontal distance geographic range and vertical height difference geographic range of the wind measurement tower under different terrain conditions is as follows: The wind farm area is divided into flat terrain, hilly terrain, general mountain terrain and complex mountain terrain according to terrain characteristics. The historical data of the built wind farm is obtained, including the coordinates of the wind measurement tower, the height, the wind speed data, the coordinates of the wind turbine, the height of the wind turbine and the wind speed data. According to the historical data, the horizontal distance, vertical height difference and wind speed correlation between each fan point and the wind measurement tower in the built wind farm are calculated. Based on the numerical elevation model, each built wind farm is classified according to the terrain. Sample points with wind speed correlation not lower than a preset threshold are screened under each terrain. The statistical quantile of the horizontal distance and vertical height difference of each sample point is calculated, and the horizontal distance geographic range and vertical height difference geographic range of the corresponding terrain of each sample point are determined according to the statistical quantile of each sample point.
[0010] Optionally, the process of obtaining the horizontal representative coefficient and vertical representative coefficient of the wind measurement tower to each fan point is as follows: The horizontal distance geographic range corresponding to the terrain is subtracted from the horizontal distance between the fan point and the wind measurement tower, and the difference is divided by the horizontal distance geographic range to obtain the horizontal representative coefficient. The vertical height difference geographic range corresponding to the terrain is subtracted from the vertical height difference between the fan point and the wind measurement tower, and the difference is divided by the vertical height difference geographic range to obtain the vertical representative coefficient.
[0011] Optionally, after obtaining the comprehensive representative index of the wind measurement tower to each wind turbine point in the wind farm, the trust coefficient of the wind measurement tower data is judged and assigned; when the trust coefficients of all wind measurement towers to a certain wind turbine point are all zero, it is determined that a wind measurement tower needs to be added.
[0012] Optionally, when obtaining the comprehensive representative index of the wind measurement tower to each wind turbine point in the wind farm and the average representative index of the wind measurement tower to the entire wind farm, if there are multiple wind measurement towers: Based on the horizontal distance between each wind measurement tower and each wind turbine point and the trust coefficient of each wind measurement tower, the weight of each wind measurement tower at each wind turbine point is obtained by using the distance reciprocal weight method; Based on the weight of each wind measurement tower at each wind turbine point and the comprehensive representative index of each wind measurement tower to the wind turbine point, the comprehensive representative index of each wind turbine point is obtained; The average value of the comprehensive representative index of all wind turbine points is calculated to obtain the average representative index of multiple wind measurement towers to the entire wind farm.
[0013] A wind measurement tower representative quantification system, comprising: A time representative coefficient acquisition module for acquiring the time representative coefficient of the wind measurement data of the wind measurement tower; A spatial data acquisition module for acquiring the horizontal distance and vertical height difference between each wind turbine point and the wind measurement tower; A geographic range determination module for determining the representative horizontal distance geographic range and vertical height difference geographic range of the wind measurement tower under different terrain conditions according to the terrain features and historical data of the wind farm area; A spatial representative coefficient acquisition module for obtaining the horizontal representative coefficient and vertical representative coefficient of the wind measurement tower to each wind turbine point according to the horizontal distance, vertical height difference and corresponding geographic range between each wind turbine point and the wind measurement tower; A comprehensive representative index acquisition module for obtaining the comprehensive representative index of the wind measurement tower to each wind turbine point in the wind farm based on the time representative coefficient, horizontal representative coefficient and vertical representative coefficient of the wind measurement tower to each wind turbine point, combined with the micro-terrain influence coefficient and the trust coefficient of the wind measurement tower; An average representative index acquisition module for obtaining the average representative index of the wind measurement tower to the entire wind farm based on the comprehensive representative index of each wind turbine point.
[0014] A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the wind measurement tower representative quantification method.
[0015] A computer readable storage medium stores a computer program, the computer program is executed by a processor to realize the steps of the wind measurement tower representative quantification method.
[0016] Compared with the prior art, the present application has the following beneficial effects: The present application firstly evaluates the integrity and reliability of wind measurement data from the time dimension, ensuring the effectiveness of the evaluation of basic data. Then, combined with the specific topographic features of the wind farm and a large amount of historical data, the effective representative range of the wind measurement tower in space (horizontal distance and vertical difference) under different topography is determined. By calculating the space-time representativeness coefficient of each wind turbine point and the wind measurement tower, and comprehensively considering the microtopographic influence and trustworthiness, the quantitative comprehensive representativeness index and the average representativeness index of the whole wind farm are finally obtained. This quantitative method can scientifically and accurately identify the risk of insufficient representativeness of the wind measurement tower, avoid subjectivity and uncertainty, and provide a reliable basis for the review of the wind measurement scheme, the setting of the wind measurement tower trust coefficient and the scientific decision of the wind farm project, thereby effectively reducing the investment risk of the project. BRIEF DESCRIPTION OF DRAWINGS
[0017] Figure 1 The figure is a wind farm representative diagram of the wind measurement tower of the embodiment of the present application. Figure 2 The figure is a horizontal distance and vertical difference correlation parameter selection flowchart of the embodiment of the present application. Figure 3 The figure is a wind farm measurement tower trust coefficient diagram of the embodiment of the present application. DETAILED DESCRIPTION
[0018] In order to make the personnel in the technical field better understand the present application scheme, the technical scheme in the embodiment of the present application will be described clearly and completely in combination with the drawings in the embodiment of the present application. Obviously, the described embodiment is only a part of the embodiment of the present application, not all. Based on the embodiment in the present application, all other embodiments obtained by the ordinary skilled in the art without creative labor should belong to the scope of protection of the present application.
[0019] It is to be understood that the terminology "first", "second" and the like used throughout the specification and claims of this application are merely for distinguishing between similar objects, and are not necessarily used to describe a particular sequential or chronological order. It is to be understood that the use of the term "or" in the examples is used to mean "and / or" unless explicitly indicated to refer to a selection from alternatives (i.e., either herein). Furthermore, the use of the term "including" and "comprising" as well as other forms such as "include", "comprise", "comprises" and "comprised of" is intended to allow for the inclusion of any additional steps or elements without necessarily being limited to only those steps or elements specifically recited. Additionally, reference to an element herein incorporating the article "a" does not preclude the existence of more than one of the elements.
[0020] The embodiment provides a representative quantification method of wind measurement tower, and has the characteristics that: 1) The wind measurement tower is representative of the wind power plant, and Figure 1 As shown in the figure, the wind measurement data integrity of the wind measurement tower set up in the planned wind power plant area and the correlation of the interpolation data are evaluated, and the time representative coefficient of the wind measurement data is calculated.
[0021] In a specific embodiment, it is to be noted that the calculation of the wind measurement data time representative coefficient includes: The wind measurement tower data is processed, the invalid wind speed, wind direction, temperature and pressure data are removed, the wind measurement tower actual measurement data integrity is calculated, the correlation analysis is performed on the data between different heights, and the interpolation data correlation coefficient is obtained. The wind measurement data time representative coefficient is calculated by combining the actual measurement data integrity and the interpolation data correlation coefficient, and the calculation formula is as follows:
[0022]
[0023] In the formula, is the actual measurement data integrity of the j tower; is the actual complete data of the j tower; is the invalid data of the j tower; is the time representative coefficient of the j tower; is the interpolation data correlation coefficient of the j tower.
[0024] 2) Based on the coordinates of the planned wind turbine sites and the spatial coordinates of the wind measurement towers determined according to the mesoscale data in the initial stage of the wind power plant planning, the horizontal distance and vertical height difference between each wind turbine site and the wind measurement tower are calculated.
[0025] In a specific embodiment, it is to be noted that the calculation of the horizontal distance and vertical height difference between each wind turbine site and the wind measurement tower includes: The wind measurement tower geographic coordinates and each preset machine site geographic coordinates are converted into 2000 national geodetic coordinate system, and the horizontal distance and vertical drop of each point to the wind measurement tower are calculated according to (x, y, z), and the calculation formula is as follows:
[0026]
[0027] In the formula, , , ) is the coordinate of the wind measurement tower j; ( , , ) is the coordinate of the preset machine site i; is the horizontal distance; is the vertical drop.
[0028] The horizontal distance and vertical drop between each wind turbine site and each wind measurement tower are calculated to obtain the spatial distribution of the wind farm area.
[0029] 3) The wind farm area is divided into flat terrain, hilly terrain, general mountain terrain and complex mountain terrain according to the terrain characteristics, and the representative horizontal distance and vertical drop of the wind measurement tower under different terrain conditions are calculated by mathematical statistical model combined with a large amount of historical data of the built wind farm.
[0030] In a specific embodiment, it should be noted that, as shown in Figure 2 , first, collect the built wind farm data, including: wind measurement tower coordinates, height, wind speed data, wind turbine coordinates, height and wind speed data, calculate the horizontal distance, vertical drop and wind speed correlation between each point and the wind measurement tower. Based on the numerical elevation model DEM, classify each wind farm according to the terrain, select sample points with wind speed correlation not less than the requirement under each terrain, calculate the 95% quantile of the horizontal distance and the vertical drop, and determine the combination boundary of the horizontal distance and the vertical drop, i.e. the geographical range of the horizontal distance and the vertical drop.
[0031] 4) The horizontal representative coefficient and vertical representative coefficient of the wind measurement tower to each wind turbine site are calculated combined with the horizontal distance and vertical drop between the wind turbine site and the wind measurement tower and the geographical range under each terrain.
[0032] In a specific embodiment, it should be noted that the calculation formula of the horizontal representative coefficient and the vertical representative coefficient of the wind measurement tower j to each wind turbine site is as follows:
[0033]
[0034] In the formula is the horizontal representative coefficient of the wind measurement tower j to the wind turbine point i; is the vertical representative coefficient of the wind measurement tower j to the wind turbine point i; is the effective range of the horizontal representative of the wind measurement tower under the t terrain; is the effective range of the horizontal representative of the wind measurement tower under the t terrain.
[0035] 5) Based on the horizontal and vertical representative of the wind measurement tower to each wind turbine point and its time representative, combined with the micro-terrain influence coefficient and the wind measurement tower trust coefficient, the comprehensive representative index of the wind measurement tower to each wind turbine point in the wind farm can be calculated. By taking the average value of the comprehensive representative index of all wind turbine points, the average representative index of the wind measurement tower to the entire wind farm is finally obtained.
[0036] In a specific embodiment, it is necessary to note that the horizontal and vertical representative of the wind turbine point obtained in the above step 4 and the time representative of the wind measurement tower, combined with the micro-terrain influence coefficient and the wind measurement tower trust coefficient, are used to calculate the comprehensive representative index of the wind measurement tower j to each wind turbine point i in the wind farm, and the calculation formula is as follows:
[0037] In the formula, is the comprehensive representative index of the wind measurement tower j to the wind turbine point i; is the horizontal representative influence coefficient; is the vertical representative influence coefficient; is the micro-terrain influence coefficient, with a value range of 0~1; 6) As shown in the following formula, based on the comprehensive representative index of the wind measurement tower to each wind turbine point in the wind farm obtained in the above step 5, the trust coefficient of the wind measurement tower data is judged and valued, as shown in the following formula: Figure 3 Figure 3 When , is 0, when , is 0. When the trust coefficient of each tower to a certain wind measurement point is 0, a wind measurement tower needs to be added to improve the accuracy of the regional wind energy resource representation.
[0038] 7) Based on the distance reciprocal weight method, the weight of each wind measurement tower at each machine point is calculated. For the entire wind farm, the average value of all machine points is used to evaluate the overall representative ability of multiple wind measurement towers to the wind energy resources of the wind farm.
[0039] For a certain machine point j, the weight of each wind measurement tower i to the machine point is calculated The formula is as follows:
[0040] In the formula, k is an attenuation coefficient, usually 2, but can be adjusted according to the complexity of the terrain (the more complex the terrain, the greater the value of k, and the higher the weight of the near-range wind tower).
[0041] Computer site comprehensive representation: if the representation value of each wind tower j to the site i is known , then the comprehensive representation of the site j is :
[0042] The average value of the representation of all sites represents the comprehensive representation of multiple wind towers to the entire wind farm .
[0043] By quantifying the representation of the wind tower to the wind farm, the checking and review of the wind measurement scheme can be accurately and efficiently carried out, the potential risk of insufficient representation of the wind tower in the wind farm can be identified, and guidance can be provided for the setting of the wind tower trust coefficient in the modeling calculation process.
[0044] According to the representative degree parameter, the representation of the wind tower is graded and quantitatively analyzed, the risks in the project resource evaluation process are identified in time, and remedial verification work is carried out, so as to reduce the project investment risk and provide scientific support for related decision-making.
[0045] According to the size of the wind tower representative degree, the wind tower is screened in layers, only the wind tower with the required representation is allowed to participate in the calculation of the corresponding site, and the calculation result can be used as part of the basis for the value of the power generation reduction coefficient, which has a significant effect on improving the accuracy of the calculation data.
[0046] The following is an embodiment of the device of the present application, which can be used to execute the method embodiment of the present application. For details not mentioned in the device embodiment, please refer to the method embodiment of the present application.
[0047] In another embodiment of the present application, a wind tower representation quantification system is provided, which can be used to implement the above-mentioned wind tower representation quantification method. Specifically, the wind tower representation quantification system includes a time representation coefficient acquisition module, a spatial data acquisition module, a geographic range determination module, a spatial representation coefficient acquisition module, a comprehensive representation index acquisition module, and an average representation index acquisition module.
[0048] The time representation coefficient acquisition module is used to acquire the time representation coefficient of the wind tower wind measurement data.
[0049] The spatial data acquisition module is used to acquire the horizontal distance and vertical height difference between each wind turbine site and the wind tower.
[0050] The geographical range determining module is configured to determine representative horizontal distance geographical range and vertical height difference geographical range of the wind measurement tower under different terrain conditions according to the terrain features and historical data of the wind farm area.
[0051] The space representative coefficient obtaining module is configured to obtain horizontal representative coefficient and vertical representative coefficient of the wind measurement tower to each wind turbine point according to the horizontal distance, vertical height difference and corresponding geographical range between each wind turbine point and the wind measurement tower.
[0052] The comprehensive representative index obtaining module is configured to obtain comprehensive representative index of the wind measurement tower to each wind turbine point in the wind farm based on the time representative coefficient, horizontal representative coefficient and vertical representative coefficient of the wind measurement tower to each wind turbine point, and in combination with the micro-terrain influence coefficient and the wind measurement tower trust coefficient.
[0053] The average representative index obtaining module is configured to obtain average representative index of the wind measurement tower to the entire wind farm based on the comprehensive representative index of each wind turbine point.
[0054] In still another embodiment of the present application, a terminal device is provided, which comprises a processor and a memory, the memory being configured to store a computer program, the computer program comprising program instructions, and the processor being configured to execute the program instructions stored in the computer storage medium. The processor can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, etc., which are the computing core and control core of the terminal, and are suitable for implementing one or more instructions, and are specifically suitable for loading and executing one or more instructions to implement a corresponding method flow or a corresponding function; the processor in the embodiments of the present application can be used for the operation of the representative quantification method of the wind measurement tower, which comprises: obtaining a time representative coefficient of wind measurement data of the wind measurement tower; obtaining a horizontal distance and a vertical height difference between each wind turbine point and the wind measurement tower; determining a representative horizontal distance geographical range and a vertical height difference geographical range of the wind measurement tower under different terrain conditions according to the terrain characteristics and historical data of the wind farm area; obtaining a horizontal representative coefficient and a vertical representative coefficient of the wind measurement tower to each wind turbine point according to the horizontal distance, the vertical height difference between each wind turbine point and the wind measurement tower, and the corresponding geographical range; obtaining a comprehensive representative index of the wind measurement tower to each wind turbine point in the wind farm based on the time representative coefficient, the horizontal representative coefficient and the vertical representative coefficient of the wind measurement tower to each wind turbine point, in combination with a micro-terrain influence coefficient and a wind measurement tower trust coefficient; and obtaining an average representative index of the wind measurement tower to the entire wind farm based on the comprehensive representative index of each wind turbine point.
[0055] In another embodiment, the present application also provides a computer readable storage medium (Memory), which is a memory device in the terminal device, used for storing programs and data. It can be understood that the computer readable storage medium herein can include the built-in storage medium in the terminal device, and of course can also include the expansion storage medium supported by the terminal device. The computer readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and the instructions can be one or more computer programs (including program codes). It should be noted that the computer readable storage medium herein can be a high-speed RAM memory, or a non-volatile memory such as at least one disk memory.
[0056] The one or more instructions stored in the computer readable storage medium can be loaded and executed by the processor to implement the corresponding steps of the representative quantification method of the wind measurement tower in the above embodiments; the one or more instructions stored in the computer readable storage medium are loaded and executed by the processor to perform the following steps: obtaining the time representative coefficient of the wind measurement data of the wind measurement tower; obtaining the horizontal distance and vertical height difference between each wind turbine point and the wind measurement tower; determining the representative horizontal distance geographical range and vertical height difference geographical range of the wind measurement tower under different terrain conditions according to the terrain characteristics and historical data of the wind farm area; obtaining the horizontal representative coefficient and vertical representative coefficient of the wind measurement tower to each wind turbine point according to the horizontal distance, vertical height difference between each wind turbine point and the wind measurement tower, and the corresponding geographical range; obtaining the comprehensive representative index of the wind measurement tower to each wind turbine point in the wind farm based on the time representative coefficient, horizontal representative coefficient and vertical representative coefficient of the wind measurement tower to each wind turbine point, combined with the micro-terrain influence coefficient and the wind measurement tower trust coefficient; obtaining the average representative index of the wind measurement tower to the entire wind farm based on the comprehensive representative index of each wind turbine point.
[0057] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.
[0058] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheet block or blocks. Figure 1 one or more flowsheet or flowsheet blocks. Figure 1 one or more blocks or blocks.
[0059] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart or flowsheet block or blocks. Figure 1 one or more flowsheet or flowsheet blocks. Figure 1 one or more blocks or blocks.
[0060] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheet block or blocks. Figure 1 one or more flowsheet or flowsheet blocks. Figure 1 one or more blocks or blocks.
[0061] The above-mentioned embodiments of the present application are only intended to describe the present application, but not to limit the present application.
[0062] In the above-described embodiments of the present application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.
[0063] In the several embodiments provided by the present application, it should be understood that the disclosed technology can be implemented in other ways. Of course, the unit division in the above-described device embodiment is only a logical function division, and there can be another division manner during actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different parts can be indirect couplings or communication connections through some interfaces, accessors, or bus devices, and can be electrical, or other forms.
[0064] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or also can be distributed to multiple units. Part or all of the units can be selected to achieve the purpose of the embodiment scheme according to actual needs.
[0065] The above description is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled in the art, without departing from the principles of the present application, can make several improvements and refinements, these improvements and refinements should also be considered as the protection scope of the present application.
[0066] It should be understood that the above description is for illustration rather than for limitation. Many embodiments and many applications other than those described above will be apparent to those skilled in the art from the foregoing description. The scope of the patent should therefore not be determined with reference to the above description, but instead should be determined with reference to the appended claims along with their full scope of equivalents. For purposes of completeness, all articles and references, including patents, patent applications, and publications, are incorporated by reference herein. The omission of any aspect of the subject matter disclosed herein from any claim does not mean that the subject matter is abandoned, and the applicant reserves the right to add any other aspect of the subject matter, including all aspects of the subject matter disclosed herein, to any claim at a later time.
Claims
1. A method for quantifying the representativeness of a wind measurement tower, characterized in that, Includes the following processes: The time representativeness coefficient for acquiring wind measurement data from the wind measurement tower; Obtain the horizontal distance and vertical height difference between each wind turbine location and the meteorological tower; Based on the topographic features and historical data of the wind farm area, the representative horizontal distance and vertical elevation difference geographical range of the wind measurement tower under different topographic conditions are determined; Based on the horizontal distance and vertical height difference between each wind turbine location and the meteorological tower, as well as the corresponding geographical range, the horizontal representativeness coefficient and vertical representativeness coefficient of the meteorological tower to each wind turbine location are obtained. Based on the time representativeness coefficient, horizontal representativeness coefficient, and vertical representativeness coefficient of the wind measurement tower for each wind turbine location, combined with the micro-topography influence coefficient and the wind measurement tower confidence coefficient, the comprehensive representativeness index of the wind measurement tower for each wind turbine location in the wind farm is obtained. Based on the comprehensive representative index of each wind turbine location, the average representative index of the meteorological tower for the entire wind farm is obtained.
2. The method for quantifying the representativeness of a wind measurement tower according to claim 1, characterized in that, The process of obtaining the time representativeness coefficient of wind measurement data from the wind measurement tower is as follows: Process the wind measurement data, remove invalid data, and obtain the completeness rate of the actual wind measurement data; Correlation analysis was performed on the measured wind data at different altitudes to obtain the correlation coefficient of the interpolated data; By combining the completeness rate of the measured wind data and the correlation coefficient of the interpolated data, the time representativeness coefficient of the wind data is obtained.
3. The method for quantifying the representativeness of a wind measurement tower according to claim 1, characterized in that, The process of obtaining the horizontal distance and vertical height difference between each wind turbine location and the meteorological tower is as follows: Obtain the geographical coordinates of the wind measurement tower and the geographical coordinates of each wind turbine location, and convert the geographical coordinates of the wind measurement tower and the geographical coordinates of each wind turbine location into three-dimensional coordinates under a unified coordinate system; Based on the three-dimensional coordinates, the horizontal distance and vertical height difference between each wind turbine location and the meteorological tower are obtained.
4. The method for quantifying the representativeness of a wind measurement tower according to claim 1, characterized in that, The process of determining the representative horizontal distance and vertical elevation difference geographical range of the wind measuring tower under different terrain conditions is as follows: The wind farm area is divided into flat terrain, hilly terrain, general mountainous terrain and complex mountainous terrain according to its topographic features; Obtain historical data of existing wind farms, including coordinates and height of meteorological towers, wind speed data, coordinates and height of wind turbines, and wind speed data. Based on the historical data, calculate the horizontal distance, vertical height difference, and wind speed correlation between each wind turbine location and the meteorological tower in the existing wind farm; Each existing wind farm is classified according to terrain based on a numerical elevation model; Select sample points whose wind speed correlation under each terrain is not lower than a preset threshold; Calculate the statistical quantiles of the horizontal distance and vertical elevation difference for each sample point, and determine the geographical range of the horizontal distance and the geographical range of the vertical elevation difference of the terrain corresponding to each sample point based on the statistical quantiles of each sample point.
5. The method for quantifying the representativeness of a wind measuring tower according to claim 4, characterized in that, The process of obtaining the horizontal and vertical representativeness coefficients of the meteorological tower for each wind turbine location is as follows: The horizontal representativeness coefficient is obtained by subtracting the horizontal distance between the wind turbine location and the wind measurement tower from the horizontal distance geographical range under the corresponding terrain, and then dividing the difference by the horizontal distance geographical range. The vertical representativeness coefficient is obtained by subtracting the vertical elevation difference between the wind turbine location and the meteorological tower from the geographical range of the vertical elevation difference under the corresponding terrain, and then dividing the difference by the geographical range of the vertical elevation difference.
6. The method for quantifying the representativeness of a wind measurement tower according to claim 1, characterized in that, After obtaining the comprehensive representative index of the wind measurement tower for each wind turbine location in the wind farm, the confidence coefficient of the wind measurement tower data is determined and assigned; when the confidence coefficient of all the wind measurement towers for a certain wind turbine location is zero, it is determined that the wind measurement tower needs to be added.
7. The method for quantifying the representativeness of a wind measurement tower according to claim 1, characterized in that, When obtaining the comprehensive representative index of the meteorological tower for each wind turbine location in the wind farm and the average representative index of the meteorological tower for the entire wind farm, if there are multiple meteorological towers: Based on the horizontal distance between each of the meteorological towers and each of the wind turbine locations and the confidence coefficient of each of the meteorological towers, the weight of each meteorological tower at each wind turbine location is obtained by using the reciprocal distance weighting method. Based on the weight of each meteorological tower at each wind turbine location and the comprehensive representative index of each meteorological tower at that wind turbine location, the comprehensive representative index of each wind turbine location is obtained. Calculate the average of the comprehensive representative index of all the wind turbine locations to obtain the average representative index of the multiple wind measurement towers for the entire wind farm.
8. A representative quantitative system for a wind measurement tower, characterized in that, include: The time representativeness coefficient acquisition module is used to obtain the time representativeness coefficient of the wind measurement data from the wind measurement tower. The spatial data acquisition module is used to acquire the horizontal distance and vertical height difference between each wind turbine location and the meteorological tower. The geographic range determination module is used to determine the representative horizontal distance and vertical elevation difference geographic range of the wind measurement tower under different terrain conditions based on the terrain features and historical data of the wind farm area. The spatial representativeness coefficient acquisition module is used to obtain the horizontal representativeness coefficient and vertical representativeness coefficient of the wind measuring tower to each wind turbine location based on the horizontal distance, the vertical height difference and the corresponding geographical range between each wind turbine location and the wind measuring tower. The comprehensive representativeness index acquisition module is used to obtain the comprehensive representativeness index of the wind turbine locations in the wind farm based on the time representativeness coefficient, horizontal representativeness coefficient and vertical representativeness coefficient of the wind measurement tower for each wind turbine location, combined with the micro-topography influence coefficient and the wind measurement tower confidence coefficient. The average representative index acquisition module is used to obtain the average representative index of the wind measurement tower for the entire wind farm based on the comprehensive representative index of each wind turbine location.
9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the quantification method for the representativeness of the wind tower as described in any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the quantification method for the representativeness of the wind measurement tower as described in any one of claims 1 to 7.