CN116011210A - Quantitative evaluation method and system for offshore wind resource - Google Patents

Quantitative evaluation method and system for offshore wind resource Download PDF

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Publication number
CN116011210A
CN116011210A CN202211709971.4A CN202211709971A CN116011210A CN 116011210 A CN116011210 A CN 116011210A CN 202211709971 A CN202211709971 A CN 202211709971A CN 116011210 A CN116011210 A CN 116011210A
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wind
information
sample
offshore
wind speed
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Inventor
黄浩
虞伟
陈文进
张俊
王栋
金晨星
陈菁伟
张若伊
甘纯
张引贤
李赢
姚斯磊
方海娜
潘永春
徐冉月
刘黎
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State Grid Zhejiang Electric Power Co Ltd
Zhoushan Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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State Grid Zhejiang Electric Power Co Ltd
Zhoushan Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Priority to CN202211709971.4A priority Critical patent/CN116011210A/en
Publication of CN116011210A publication Critical patent/CN116011210A/en
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Abstract

The invention provides a quantitative evaluation method and a quantitative evaluation system for offshore wind resources, and relates to the technical field of wind resource evaluation; the existing wind resource evaluation method has low evaluation accuracy and low evaluation accuracy; the method comprises the following steps: and acquiring average wind speed information in the target area by determining the target area on the sea. Acquiring effective wind time information in the target area; acquiring average air density information in the target area; constructing an offshore wind resource quantitative evaluation model; and inputting the average wind speed information, the effective wind time information and the average air density information into the offshore wind resource quantitative evaluation model to obtain a quantitative evaluation result. According to the technical scheme, the offshore wind resource quantitative evaluation model is constructed, so that an offshore wind resource quantitative evaluation result is more accurate, the offshore wind resource quantitative evaluation accuracy is improved, and the technical problems of low evaluation accuracy and low evaluation accuracy in the prior art are solved.

Description

Quantitative evaluation method and system for offshore wind resource
Technical Field
The invention relates to the technical field of wind resource assessment, in particular to a quantitative assessment method and a quantitative assessment system for offshore wind resources.
Background
During wind energy resource evaluation, analyzing wind energy resource parameters of an area to be evaluated, determining the quality of the wind energy resources of the area through analysis and processing of local wind speed, wind direction, air temperature, air pressure, air density and other observation parameters, and providing a reference basis for wind power plant site selection and unit arrangement scheme determination. However, in the prior art, wind energy resource evaluation is often evaluated by adopting an evaluation mode, and wind resource evaluation results of the area are evaluated by calculating wind resource parameters of the area for a period of time, so that the obtained wind energy resource evaluation results have the problem of lower precision.
Therefore, the stroke resource evaluation method in the prior art has the technical problems of low evaluation accuracy and low evaluation accuracy.
Disclosure of Invention
The application provides a quantitative evaluation method and a quantitative evaluation system for offshore wind resources, which are used for solving the technical problems of low evaluation accuracy and low evaluation accuracy in the prior art wind resource evaluation method.
In view of the above problems, the present application provides a method and a system for quantitatively evaluating offshore wind resources.
In a first aspect of the present application, a method for quantitatively evaluating offshore wind resources is provided, including the steps of:
100 Determining a target area at sea;
200 Collecting and acquiring average wind speed information in the target area;
300 Acquiring effective wind time information in the target area;
400 Acquiring average air density information in the target area;
500 Constructing an offshore wind resource quantitative evaluation model;
600 Inputting the average wind speed information, the effective wind time information and the average air density information into the offshore wind resource quantitative evaluation model to obtain a quantitative evaluation result, selecting sites for the wind power plant according to the quantitative evaluation result, and determining a unit arrangement scheme.
In a second aspect of the present application, there is provided a system for quantitative assessment of offshore wind resources, the system comprising: the target area acquisition module is used for determining a target area on the sea; the wind speed information acquisition module is used for acquiring average wind speed information in the target area; the effective wind time information acquisition module is used for acquiring effective wind time information in the target area; the air density information acquisition module is used for acquiring average air density information in the target area; the evaluation model acquisition module is used for constructing an offshore wind resource quantitative evaluation model; the quantitative evaluation result acquisition module is used for inputting the average wind speed information, the effective wind time number information and the average air density information into the offshore wind resource quantitative evaluation model to obtain a quantitative evaluation result.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method, the target area on the sea is determined, and average wind speed information in the target area is acquired in the target area. And acquiring effective wind time information in the target area. And acquiring average air density information in the target area. And acquiring the average wind speed information, the effective wind time information and the average air density information of a plurality of offshore areas to obtain a wind resource information set of a plurality of sample areas. And obtaining wind resource evaluation results of a plurality of offshore areas, and obtaining a plurality of sample evaluation results. And constructing the offshore wind resource quantitative evaluation model by adopting the plurality of sample area wind resource information sets and the plurality of sample evaluation results. And inputting the average wind speed information, the effective wind time information and the average air density information into the offshore wind resource quantitative evaluation model to obtain a quantitative evaluation result. By constructing the offshore wind resource quantitative evaluation model, the result of the offshore wind resource quantitative evaluation is more accurate, and the accuracy of the offshore wind resource quantitative evaluation is improved. The method solves the technical problems of low estimation accuracy and low estimation accuracy in the stroke resource estimation method in the prior art.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification, so that the foregoing and other objects, features and advantages of the present application can be more clearly understood, and the following detailed description of the present application will be presented.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a flow chart of the invention for obtaining average wind speed information;
FIG. 3 is a schematic flow chart of the method for obtaining the offshore wind resource quantitative evaluation model;
fig. 4 is a schematic diagram of a system structure according to the present invention.
In the figure: 11. the system comprises a target area acquisition module 12, a wind speed information acquisition module 13, an effective wind time information acquisition module 14, an air density information acquisition module 15, an evaluation model acquisition module 16 and a quantitative evaluation result acquisition module.
Detailed Description
The application provides a quantitative evaluation method and a quantitative evaluation system for offshore wind resources, which are used for solving the technical problems of low evaluation accuracy and low evaluation accuracy in the prior art wind resource evaluation method.
The technical solutions in the present application will be clearly and completely described below with reference to the accompanying drawings. The described embodiments are only some of the contents that can be realized by the present application, and not the whole contents of the present application.
Example 1
As shown in fig. 1, the application provides a method for quantitatively evaluating offshore wind resources, which is applied to an offshore wind power generation early warning management system, and the system and a data acquisition device are in communication connection, and the method comprises the following steps:
step 100: determining a target area on the sea;
step 200: acquiring average wind speed information in a target area;
step 300: acquiring effective wind time information in a target area;
specifically, a target area at sea is determined, wherein the target area at sea is a quantitative assessment of offshore wind resources. And then collecting the average wind speed information of the area in the target area, and calculating the average wind speed of the area by acquiring the wind speed data of a preset time node of the area. And acquiring effective wind time information in the target area, namely acquiring duration information of effective wind existence quantitatively evaluated by the wind resources in the target area, wherein the longer the duration of the effective wind existence is, the higher the quality of the wind resources is, and the longer the working duration of the wind farm is after the wind farm is built.
As shown in fig. 2, the method step 200 provided in the embodiment of the present application further includes:
step 210: selecting and obtaining a plurality of wind speed monitoring points in a target area;
step 220: obtaining a plurality of preset time nodes;
step 230: acquiring wind speeds when acquiring a plurality of preset time nodes based on a plurality of wind speed monitoring points, and acquiring a plurality of actually measured wind speed information sets;
step 240: and calculating to obtain average wind speed information according to the measured wind speed information sets.
Specifically, when average wind speed information is acquired, a plurality of wind speed monitoring points are selected in a target area, and wind speed monitors are arranged at the wind speed monitoring points. By setting a plurality of wind speed monitoring points, the average wind speed data in the area with larger area can be accurately acquired. A plurality of preset time nodes are then obtained, wherein the preset time nodes are preset fixed time nodes, such as fixed time of day, or other fixed time nodes. Then, based on a plurality of wind speed monitoring points, collecting wind speeds of a plurality of preset time nodes, and obtaining a plurality of actually measured wind speed information sets. And finally, calculating and obtaining the average wind speed information of the area according to the measured wind speed information sets. The wind speed data is acquired by setting a plurality of wind speed monitoring points, so that the average wind speed information of the area is acquired more accurately.
The method step 300 provided in the embodiment of the present application further includes:
step 310: in the target area, obtaining a monitoring point in the wind;
step 320: obtaining the cut-in wind speed and the cut-out wind speed of a target wind motor hub;
step 330: monitoring the time of the wind speed of a monitoring point in the wind time between the cut-in wind speed and the cut-out wind speed in a plurality of preset time periods, and obtaining a plurality of actually measured effective wind time information;
step 340: and calculating and obtaining the effective wind time information according to the plurality of actually measured effective wind time information.
Specifically, monitoring points are planned in a target area, namely an offshore wind resource quantitative evaluation area, then the cut-in wind speed and the cut-out wind speed of a target wind motor hub are obtained, wherein the cut-in wind speed of the wind motor hub is the lowest working wind speed of the wind motor, the cut-out wind speed of the wind motor hub is the maximum working wind speed for ensuring the operation safety of equipment, and when the cut-out wind speed is exceeded, the wind machine needs to stop working in order to protect the safety of the wind machine. And then, monitoring the time between the cut-in wind speed and the cut-out wind speed of the monitoring point in the wind in a plurality of preset time periods, namely acquiring the wind speed duration time of a wind power working wind speed interval in the preset time periods, and acquiring a plurality of actually measured effective wind time speed information. According to the information of the effective wind time number obtained through calculation, the time length information of the effective wind is obtained, and therefore the longer working time of the wind power plant can be obtained when the wind power plant is built.
Step 400: acquiring average air density information in a target area;
step 500: constructing an offshore wind resource quantitative evaluation model;
step 600: and inputting the average wind speed information, the effective wind time information and the average air density information into an offshore wind resource quantitative evaluation model to obtain a quantitative evaluation result.
Specifically, the evaluation air density information in the quantitative evaluation area of the target offshore wind resource is acquired, and as the wind has energy related to wind speed and air density, the larger the air density at the same wind speed is, the larger the energy is contained. And then, constructing a maritime wind resource quantitative evaluation model, wherein the maritime wind resource quantitative evaluation model obtains a distribution area of an evaluation target average wind speed information, an effective wind time number information and an average air density information by carrying out area quantization on the average wind speed information, the effective wind time number information and the average air density information of the maritime wind resource, and obtains a final quantitative evaluation result according to the maritime wind resource quantitative evaluation model distribution area where the target evaluation area is located and evaluation results of other samples, thereby completing the quantitative evaluation of the maritime wind resource of the target area. By constructing the offshore wind resource quantitative evaluation model, the result of the offshore wind resource quantitative evaluation is more accurate, and the accuracy of the offshore wind resource quantitative evaluation is improved.
The method step 400 provided in the embodiment of the present application further includes:
step 410: acquiring air density of a plurality of preset time nodes in a target area to obtain a plurality of actually measured air density information;
step 420: and calculating to obtain average air density information according to the measured air density information.
Specifically, the air density of a plurality of preset time nodes of the target area is acquired, namely, the air density of a plurality of time nodes of the target area is acquired, and a plurality of actually measured air density information is acquired. Then, based on the plurality of measured air density information, average air density information is calculated.
As shown in fig. 3, the method step 500 provided in the embodiment of the present application further includes:
step 510: obtaining a plurality of offshore areas, wherein the plurality of offshore areas are areas for offshore wind power generation;
step 520: acquiring average wind speed information, effective wind time number information and average air density information of a plurality of offshore areas to obtain a wind resource information set of a plurality of sample areas;
step 530: acquiring wind resource evaluation results of a plurality of offshore areas, and acquiring a plurality of sample evaluation results;
step 540: and constructing an offshore wind resource quantitative evaluation model by adopting the wind resource information sets of the plurality of sample areas and the plurality of sample evaluation results.
Specifically, a plurality of offshore areas are acquired, wherein the plurality of offshore areas are areas in which offshore power generation is being performed. And then, acquiring average wind speed information, effective wind time information and average air density information of a plurality of offshore areas, and acquiring a plurality of sample area wind resource information sets. Subsequently, wind resource evaluation results of a plurality of offshore areas are obtained, and a plurality of sample evaluation results are obtained. The wind resource evaluation results of the offshore area correspond to the wind resource information sets of the plurality of sample areas. And constructing an offshore wind resource quantitative evaluation model through the plurality of sample area wind resource information sets and the plurality of sample evaluation results. By constructing the offshore wind resource quantitative evaluation model, the result of the offshore wind resource quantitative evaluation is more accurate, and the accuracy of the offshore wind resource quantitative evaluation is further improved.
The method provided in the embodiment of the present application further includes step 540:
step 541: constructing a three-dimensional coordinate space based on the average wind speed information, the effective wind time information and the average air density information;
step 542: inputting a plurality of sample area wind resource information sets into a three-dimensional coordinate space to obtain a plurality of sample coordinate points;
step 543: and setting corresponding sample evaluation results for the plurality of sample coordinate points according to the plurality of sample evaluation results to obtain an offshore wind resource quantitative evaluation model.
Specifically, a three-dimensional coordinate space is constructed based on the average wind speed, the effective wind time information, and the average air density information. And then inputting the wind resource information sets of the plurality of sample areas, namely the average wind speed information, the effective wind time number information and the average air density information in the sample areas, into the three-dimensional coordinate space to obtain a plurality of sample coordinate points, and obtaining the distribution condition of the wind resource information of each sample area in the three-dimensional coordinate space. Then, according to the sample evaluation results, setting corresponding sample evaluation results for the sample coordinate points, namely setting corresponding sample evaluation results for the distribution condition of wind resource information of each sample area in the three-dimensional coordinate space, wherein the area where each sample is located contains the corresponding sample evaluation results. And finally, setting corresponding sample evaluation results for a plurality of sample coordinate points according to the plurality of sample evaluation results, and obtaining an offshore wind resource quantitative evaluation model. When the average wind speed information, the effective wind time number information and the average air density information are input into the three-dimensional coordinate system, the corresponding evaluation result can be obtained through the position of the area where the information is located. By constructing the offshore wind resource quantitative evaluation model, the result of the offshore wind resource quantitative evaluation is more accurate, and the accuracy of the offshore wind resource quantitative evaluation is further improved.
The method provided in the embodiment of the present application further includes step 540:
step 544: inputting the average wind speed information, the effective wind time number information and the average air density information into a three-dimensional coordinate space to obtain a target coordinate point;
step 545: obtaining k sample coordinate points nearest to a target coordinate point, wherein k is an odd number;
step 546: obtaining k sample evaluation results of k sample coordinate points;
step 547: and taking the sample evaluation result with the highest occurrence frequency in the k sample evaluation results as a quantitative evaluation result.
Specifically, average wind speed information, effective wind time number information and average air density information are input into a three-dimensional coordinate space, and a target coordinate point is obtained. Subsequently, k sample coordinate points nearest to the target coordinate point are acquired, wherein k is an odd number. And obtaining k sample evaluation results of the k sample coordinate points, and taking the sample evaluation result with the highest occurrence frequency in the k sample evaluation results as a quantized evaluation result. In practical application, the distance between the target coordinate point and the nearest k sample coordinate points can be calculated, the weight coefficient can be obtained according to the distance, the weight is lower when the distance is farther, the weight is higher when the distance is nearer, and the sample evaluation result with the highest appearance frequency of the target coordinate point can be obtained finally and used as the quantitative evaluation result. By constructing the offshore wind resource quantitative evaluation model, the result of the offshore wind resource quantitative evaluation is more accurate, and the accuracy of the offshore wind resource quantitative evaluation is further improved.
In summary, the method provided by the embodiment of the application acquires average wind speed information in a target area by determining the target area on the sea. And acquiring effective wind time information in the target area. And acquiring average air density information in the target area. And acquiring the average wind speed information, the effective wind time information and the average air density information of a plurality of offshore areas to obtain a wind resource information set of a plurality of sample areas. And obtaining wind resource evaluation results of a plurality of offshore areas, and obtaining a plurality of sample evaluation results. And constructing an offshore wind resource quantitative evaluation model by adopting the wind resource information sets of the plurality of sample areas and the plurality of sample evaluation results. And inputting the average wind speed information, the effective wind time information and the average air density information into an offshore wind resource quantitative evaluation model to obtain a quantitative evaluation result. By constructing the offshore wind resource quantitative evaluation model, the result of the offshore wind resource quantitative evaluation is more accurate, and the accuracy of the offshore wind resource quantitative evaluation is improved. The method solves the technical problems of low estimation accuracy and low estimation accuracy in the stroke resource estimation method in the prior art.
Example two
Based on the same inventive concept as the method for quantitatively evaluating offshore wind resources in the foregoing embodiment, as shown in fig. 4, the present application provides a system for quantitatively evaluating offshore wind resources, the system comprising:
a target region acquisition module 11 for determining a target region at sea;
a wind speed information acquisition module 12, configured to acquire average wind speed information in a target area;
the effective wind time information acquisition module 13 is used for acquiring effective wind time information in the target area;
an air density information acquisition module 14 for acquiring average air density information in the target area;
the evaluation model acquisition module 15 is used for constructing an offshore wind resource quantitative evaluation model;
the quantized evaluation result obtaining module 16 is configured to input the average wind speed information, the effective wind time number information, and the average air density information into an offshore wind resource quantized evaluation model to obtain a quantized evaluation result.
Further, the wind speed information acquisition module 12 is further configured to:
selecting and obtaining a plurality of wind speed monitoring points in a target area;
obtaining a plurality of preset time nodes;
acquiring wind speeds when acquiring a plurality of preset time nodes based on a plurality of wind speed monitoring points, and acquiring a plurality of actually measured wind speed information sets;
and calculating to obtain average wind speed information according to the measured wind speed information sets.
Further, the effective wind time information acquisition module 13 is further configured to:
in the target area, obtaining a monitoring point in the wind;
obtaining the cut-in wind speed and the cut-out wind speed of a target wind motor hub;
monitoring the time of the wind speed of a monitoring point in the wind time between the cut-in wind speed and the cut-out wind speed in a plurality of preset time periods, and obtaining a plurality of actually measured effective wind time information;
and calculating and obtaining the effective wind time information according to the plurality of actually measured effective wind time information.
Further, the air density information acquisition module 14 is further configured to:
acquiring air density of a plurality of preset time nodes in a target area to obtain a plurality of actually measured air density information;
and calculating to obtain average air density information according to the measured air density information.
Further, the evaluation model acquisition module 15 is further configured to:
obtaining a plurality of offshore areas, wherein the plurality of offshore areas are areas for offshore wind power generation;
acquiring average wind speed information, effective wind time number information and average air density information of a plurality of offshore areas to obtain a wind resource information set of a plurality of sample areas;
acquiring wind resource evaluation results of a plurality of offshore areas, and acquiring a plurality of sample evaluation results;
and constructing an offshore wind resource quantitative evaluation model by adopting the wind resource information sets of the plurality of sample areas and the plurality of sample evaluation results.
Further, the evaluation model acquisition module 15 is further configured to:
constructing a three-dimensional coordinate space based on the average wind speed information, the effective wind time information and the average air density information;
inputting a plurality of sample area wind resource information sets into a three-dimensional coordinate space to obtain a plurality of sample coordinate points;
and setting corresponding sample evaluation results for the plurality of sample coordinate points according to the plurality of sample evaluation results to obtain an offshore wind resource quantitative evaluation model.
Further, the quantitative evaluation result acquisition module 16 is further configured to:
inputting the average wind speed information, the effective wind time number information and the average air density information into a three-dimensional coordinate space to obtain a target coordinate point;
obtaining k sample coordinate points nearest to a target coordinate point, wherein k is an odd number;
obtaining k sample evaluation results of k sample coordinate points;
and taking the sample evaluation result with the highest occurrence frequency in the k sample evaluation results as a quantitative evaluation result.
The second embodiment is used for executing the method as in the first embodiment, and the execution principle and the execution basis thereof can be obtained through the content described in the first embodiment, which is not repeated herein. Although the present application has been described in connection with specific features and embodiments thereof, the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, those skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application, and the content thus obtained also falls within the scope of the present application.

Claims (10)

1. A method for quantitatively evaluating offshore wind resources, the method comprising:
100 Determining a target area at sea;
200 Collecting and acquiring average wind speed information in the target area;
300 Acquiring effective wind time information in the target area;
400 Acquiring average air density information in the target area;
500 Acquiring a constructed offshore wind resource quantitative evaluation model;
600 Inputting the average wind speed information, the effective wind time information and the average air density information into the offshore wind resource quantitative evaluation model to obtain a quantitative evaluation result, selecting sites for the wind power plant according to the quantitative evaluation result, and determining a unit arrangement scheme.
2. The method for quantitatively evaluating offshore wind resources according to claim 1, wherein in step 200), acquiring average wind speed information in the target area comprises the steps of:
210 Selecting and obtaining a plurality of wind speed monitoring points in the target area;
220 Obtaining a plurality of preset time nodes;
230 Based on the wind speed monitoring points, collecting wind speeds when the wind speed monitoring points are acquired at the preset time nodes, and acquiring a plurality of actually measured wind speed information sets;
240 According to the measured wind speed information sets, calculating to obtain the average wind speed information.
3. The method for quantitatively evaluating offshore wind resources according to claim 1, wherein in step 3), acquiring effective wind hour information in the target area includes the steps of:
310 In the target area, obtaining a monitoring point in the wind;
320 Obtaining the cut-in wind speed and the cut-out wind speed of a target wind motor hub;
330 Monitoring the time when the wind speed of the monitoring point is between the cut-in wind speed and the cut-out wind speed in a plurality of preset time periods, and obtaining a plurality of actually measured effective wind time information;
340 According to the actual measured effective wind time information, calculating to obtain the effective wind time information.
4. The method for quantitative assessment of offshore wind resources according to claim 2, wherein the step of acquiring average air density information in the target area in step 4) comprises the steps of:
410 Acquiring air density of the plurality of preset time nodes in the target area to obtain a plurality of actually measured air density information;
420 According to the measured air density information, calculating to obtain the average air density information.
5. The method for quantitative assessment of offshore wind resources according to claim 1, wherein the constructing of the model for quantitative assessment of offshore wind resources in step 5) comprises the steps of:
510 Obtaining a plurality of offshore areas, wherein the plurality of offshore areas are areas where offshore wind power generation is performed;
520 Acquiring average wind speed information, effective wind time number information and average air density information of the plurality of offshore areas to obtain a plurality of sample area wind resource information sets;
530 Acquiring wind resource evaluation results of a plurality of offshore areas, and acquiring a plurality of sample evaluation results;
540 And constructing the offshore wind resource quantitative evaluation model by adopting the plurality of sample area wind resource information sets and the plurality of sample evaluation results.
6. The method of claim 5, wherein in step 540), the method for quantitatively evaluating the offshore wind resource using the plurality of sample region wind resource information sets and the plurality of sample evaluation results comprises the steps of:
541 Based on the average wind speed information, the effective wind time information and the average air density information, constructing a three-dimensional coordinate space;
542 Inputting the wind resource information sets of the plurality of sample areas into a three-dimensional coordinate space to obtain a plurality of sample coordinate points;
543 And according to the sample evaluation results, setting corresponding sample evaluation results for the sample coordinate points to obtain the offshore wind resource quantitative evaluation model.
7. The method for quantitatively evaluating an offshore wind resource according to claim 6, wherein in step 600), the average wind speed information, the effective wind time number information, and the average air density information are input into the offshore wind resource quantitatively evaluating model to obtain a quantitatively evaluating result, comprising the steps of:
610 Inputting the average wind speed information, the effective wind time information and the average air density information into a three-dimensional coordinate space to obtain a target coordinate point;
620 Obtaining k sample coordinate points nearest to the target coordinate point, wherein k is an odd number;
630 Obtaining k sample evaluation results of the k sample coordinate points;
640 And taking the sample evaluation result with the highest occurrence frequency in the k sample evaluation results as the quantitative evaluation result.
8. A quantization evaluation system employing a quantization evaluation method of offshore wind resource as claimed in any one of claims 1 to 7, comprising:
the target area acquisition module is used for determining a target area on the sea;
the wind speed information acquisition module is used for acquiring average wind speed information in the target area;
the effective wind time information acquisition module is used for acquiring effective wind time information in the target area;
the air density information acquisition module is used for acquiring average air density information in the target area;
the evaluation model acquisition module is used for acquiring an offshore wind resource quantitative evaluation model;
the quantitative evaluation result acquisition module is used for inputting the average wind speed information, the effective wind time number information and the average air density information into the offshore wind resource quantitative evaluation model to obtain a quantitative evaluation result.
9. The quantitative evaluation system of claim 8, wherein: the method comprises the steps that an evaluation model acquisition module acquires average wind speed information, effective wind time number information and average air density information of a plurality of offshore areas to obtain a plurality of sample area wind resource information sets; acquiring wind resource evaluation results of a plurality of offshore areas, and acquiring a plurality of sample evaluation results; and constructing the offshore wind resource quantitative evaluation model by adopting the plurality of sample area wind resource information sets and the plurality of sample evaluation results.
10. The quantitative evaluation system according to claim 9, wherein the evaluation model acquisition module inputs the average wind speed information, the effective wind time number information and the average air density information into a three-dimensional coordinate space to obtain a target coordinate point when the evaluation result is quantized; obtaining k sample coordinate points nearest to the target coordinate point, wherein k is an odd number; obtaining k sample evaluation results of the k sample coordinate points; and taking the sample evaluation result with the highest occurrence frequency in the k sample evaluation results as the quantitative evaluation result.
CN202211709971.4A 2022-12-29 2022-12-29 Quantitative evaluation method and system for offshore wind resource Pending CN116011210A (en)

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CN202211709971.4A CN116011210A (en) 2022-12-29 2022-12-29 Quantitative evaluation method and system for offshore wind resource

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Application Number Priority Date Filing Date Title
CN202211709971.4A CN116011210A (en) 2022-12-29 2022-12-29 Quantitative evaluation method and system for offshore wind resource

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CN116011210A true CN116011210A (en) 2023-04-25

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