CN114548634A - Offshore wind resource comprehensive evaluation method and device, storage medium and electronic equipment - Google Patents
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Abstract
The disclosure relates to a method, a device, a storage medium and an electronic device for comprehensively evaluating offshore wind resources, wherein the method comprises the following steps: determining an offshore wind resource comprehensive evaluation parameter according to wind resource time data measured by a wind measuring tower in any wind power plant within a preset time period; eliminating the dimensional influence of the offshore wind resource comprehensive evaluation parameters; acquiring an optimal evaluation scheme score of the wind power plant based on the offshore wind resource comprehensive evaluation parameter without dimension influence and a preset weight corresponding to the offshore wind resource comprehensive evaluation parameter; the preset weight is used for representing the relative importance degree between the parameters; and sequentially sequencing the scores of the preferred evaluation schemes of the wind power plants, and determining the preferred evaluation scheme with the highest score as the best evaluation result of the wind power plants.
Description
Technical Field
The disclosure belongs to the technical field of wind resources, and particularly relates to an offshore wind resource comprehensive evaluation method, an offshore wind resource comprehensive evaluation device, a storage medium and electronic equipment.
Background
Compared with onshore wind power, offshore wind resources are stable, the offshore wind resources are close to a load center, and the problems of visual impact, bird protection, land utilization, noise pollution and the like do not exist, so that offshore wind power becomes an important direction for development of various countries in recent years.
The offshore wind resource assessment is the basis of offshore wind power plant development and construction, but due to the complex nature, short development time and the lack of long-term observation data of the offshore wind meteorological phenomena, satellite data, re-analysis data, numerical simulation data and the like have wide application in the current offshore wind resource assessment. However, these data have deviation from the actual measurement data, and even if there is actual wind measurement data, the observation time is less than one year or the accuracy of the measurement instrument itself is not good, which may bring obvious wind resource assessment error. Therefore, ensuring the reliability and continuity of offshore wind measurement data is the key to improve the offshore wind resource assessment accuracy and offshore wind power core competitiveness.
Accurate wind energy resource assessment is important for wind power plant power generation amount estimation and economic benefit assessment, traditional wind resource assessment is mainly proposed from the perspective of wind energy overall reserve and available conditions, but the commercial development of offshore wind power is not only related to the characteristics of wind conditions, but also closely related to other natural and economic factors. For example, the lower cushion surface of offshore wind power is more complex and variable than that on land, and the temperature difference between the water surface and the atmosphere layer also influences the stability and the vertical mixing trend of the offshore atmospheric boundary layer, so that the wind resource distribution is influenced; besides, the development and utilization of offshore wind power are also restricted by geographic elements such as water depth and offshore distance, so that the development of offshore wind power plants needs to integrally evaluate and quantify each restriction factor. However, two problems exist in the existing assessment means, firstly, reanalysis data is basically adopted in the assessment process, verification of actually measured data is lacked, and uncertainty of offshore wind resource assessment is increased; secondly, when the offshore wind resources are evaluated by comprehensively considering multiple factors, the problems of overlapping and omission exist, and the distribution situation of the offshore wind resources cannot be comprehensively and accurately described.
Disclosure of Invention
The invention aims to provide an offshore wind resource comprehensive evaluation method, an offshore wind resource comprehensive evaluation device, a storage medium and electronic equipment, which are used for solving the problems that reanalysis data is basically adopted in the evaluation process in the prior art, the verification of actually measured data is lacked, and the uncertainty of offshore wind resource evaluation is increased; and when the offshore wind resources are evaluated by comprehensively considering multiple factors, the problems of overlapping and omission exist, and the distribution condition of the offshore wind resources cannot be comprehensively and accurately described.
In order to achieve the above object, in a first aspect of the present disclosure, a method for comprehensively evaluating offshore wind resources includes:
determining an offshore wind resource comprehensive evaluation parameter according to wind resource time data measured by a wind measuring tower in any wind power plant within a preset time period;
eliminating the dimensional influence of the offshore wind resource comprehensive evaluation parameters;
acquiring an optimal evaluation scheme score of the wind power plant based on the offshore wind resource comprehensive evaluation parameter without dimension influence and a preset weight corresponding to the offshore wind resource comprehensive evaluation parameter without dimension influence; the preset weight is used for representing the relative importance degree between the parameters;
and sequencing the scores of the preferred evaluation schemes of the wind power plants in a descending order, and determining the best evaluation result of the wind power plants.
Optionally, the offshore wind resource comprehensive evaluation parameters include a wind energy resource index parameter, a stability index parameter, and an atmosphere and environment index parameter;
wherein the wind energy resource indicator parameter comprises at least one of a wind power density, an effective wind speed occurrence rate, and an abundance level occurrence rate; the stability index parameter comprises at least one of a coefficient of variation and a dominant wind direction frequency; the atmospheric and environmental index parameters comprise at least one of offshore distance, water depth and atmospheric stability.
Optionally, the eliminating the dimensional influence of the offshore wind resource comprehensive evaluation parameter includes:
judging whether the offshore wind resource comprehensive evaluation parameter is described as a forward index or not based on the correlation between the numerical value of the wind energy resource index parameter and the offshore wind resource;
when the wind energy resource index parameter is described as a forward index, performing normalization processing on the wind energy resource index parameter by adopting the following formula:
wherein x isijIs the offshore wind resource comprehensive evaluation parameter, yijThe offshore wind resource comprehensive evaluation parameter is normalized, namely the offshore wind resource comprehensive evaluation parameter after dimension influence is eliminated; m and m are positive integers.
Optionally, the method for calculating the preset weight includes:
establishing an AHP hierarchical analysis model, wherein the AHP hierarchical analysis model comprises a target layer, a criterion layer and a scheme layer;
inputting the wind energy resource index parameter, the stability index parameter and the atmospheric and environmental index parameter into a criterion layer in the AHP hierarchical analysis model, wherein the target layer is an optimal evaluation scheme;
and constructing an 8-order judgment matrix according to the comprehensive evaluation parameters of the offshore wind resources, and calculating preset weights of all parameters representing the evaluation of the offshore wind resources in the judgment matrix.
Optionally, the obtaining a preferred evaluation scheme score of the wind farm based on the normalized value of the offshore wind resource comprehensive evaluation parameter and a preset weight corresponding to the offshore wind resource comprehensive evaluation parameter includes:
respectively endowing the optimal evaluation scheme weight coefficient of each parameter in the offshore wind resource comprehensive evaluation parameters based on the preset weight;
and multiplying the weight coefficient of the preferred evaluation scheme of each parameter by the normalization value of the corresponding offshore wind resource comprehensive evaluation parameter, and adding to obtain the score of the preferred evaluation scheme of the wind power plant.
In a second aspect, an offshore wind resource comprehensive evaluation device is provided, the device comprising:
the wind measuring tower management module is used for acquiring wind resource time data measured by the wind measuring tower within a preset time period;
the wind measurement data acquisition module is used for determining an offshore wind resource comprehensive evaluation parameter according to wind resource time data measured by a wind measurement tower in any wind power plant within a preset time period; wherein the offshore wind resource comprehensive evaluation parameters comprise: wind energy resource index parameters, stability index parameters and atmospheric and environmental index parameters;
the preprocessing module is used for carrying out normalization processing on the offshore wind resource comprehensive evaluation parameters by adopting a range method to obtain normalized values of the offshore wind resource comprehensive evaluation parameters so as to eliminate dimensional influence;
the evaluation module is used for acquiring the preferred evaluation scheme score of the wind power plant based on the normalization value of the offshore wind resource comprehensive evaluation parameter and the preset weight corresponding to the offshore wind resource comprehensive evaluation parameter; the preset weight is obtained by an analytic hierarchy process based on the offshore wind resource comprehensive evaluation parameter; and comparing the scores of the preferred evaluation schemes of the wind power plants to determine the best evaluation result of the wind power plants.
In a third aspect, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method of the first aspect as set forth above.
In a fourth aspect, an electronic device is provided, comprising: the computer-readable storage medium described above; and
one or more processors to execute the program in the computer-readable storage medium.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the principles of the disclosure and not to limit the disclosure. In the drawings:
fig. 1 is a flowchart of a method for comprehensively evaluating offshore wind resources according to an embodiment of the present disclosure.
Fig. 2 is a schematic flowchart of a method for calculating preset weights according to an embodiment of the present disclosure.
FIG. 3 is a schematic flow chart for obtaining a score of a preferred assessment scenario of the wind farm according to the embodiment of the present disclosure.
Fig. 4 is a schematic structural diagram of an offshore wind resource comprehensive evaluation device provided in an embodiment of the present disclosure.
Fig. 5 is a schematic diagram of an AHP hierarchical analysis model according to an embodiment of the present disclosure.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are intended for purposes of illustration and explanation only and are not intended to limit the present disclosure.
In the prior art, traditional wind resource assessment is mainly proposed from the perspective of wind energy overall reserve and available conditions, but the commercial development of offshore wind power is not only related to the characteristics of wind conditions, but also closely related to other natural and economic factors. Reanalysis data are basically adopted in the traditional wind resource evaluation process, verification of actually measured data is lacked, and the uncertainty of offshore wind resource evaluation is increased; and when the offshore wind resources are evaluated by comprehensively considering multiple factors, the problems of overlapping and omission exist, and the distribution condition of the offshore wind resources cannot be comprehensively and accurately described. In the method, parameter information of the wind power plant to be evaluated from different angles is obtained, the reanalysis data can be used, the actually measured data is added, importance weights of different parameters are determined according to an analytic hierarchy process, an evaluation scheme of resources such as offshore resources can be established from multiple angles, the importance of offshore wind resource evaluation can be improved, and important reference is further made for site selection of the offshore wind power plant.
The embodiment of the disclosure provides a comprehensive evaluation method for offshore wind resources, and fig. 1 is a flowchart illustrating the comprehensive evaluation method for offshore wind resources according to an embodiment of the disclosure. As shown in fig. 1, the method comprises the steps of:
and step S11, determining comprehensive evaluation parameters of offshore wind resources according to wind resource time data measured by a anemometer tower in any wind power plant within a preset time period.
The wind resource time data specifically includes that a wind tower in the wind farm is continuously monitored within a period of time, for example, within one year, so as to obtain the wind speed within the period of time and the wind direction corresponding to the wind speed. And the wind resource time data is used for calculating the comprehensive evaluation parameters of the offshore wind resources.
It should be noted that, when importance evaluation is performed on the offshore wind resources of a plurality of wind farms, the wind farms to be evaluated may be listed as wind farms to be evaluated, and the following steps are performed for all the wind farms to be evaluated.
Further, the offshore wind resource comprehensive evaluation parameters comprise wind energy resource index parameters, stability index parameters and atmosphere and environment index parameters;
wherein the wind energy resource indicator parameter comprises at least one of wind power density, effective wind speed incidence, and abundance level incidence; the stability index parameter comprises at least one of a coefficient of variation and a dominant wind direction frequency; the atmospheric and environmental index parameters comprise at least one of offshore distance, water depth and atmospheric stability.
And step S12, eliminating dimension influence of the offshore wind resource comprehensive evaluation parameters.
Specifically, since a plurality of evaluation parameter indexes are involved in the comprehensive evaluation of the offshore wind energy resource, and dimensions and attributes of the parameter indexes are different from each other, and direct comparison is difficult to perform, all indexes are normalized before the comprehensive analysis and evaluation so as to eliminate the influence of the dimensions. Wherein, the dimension is composed of two parts: the number and the unit of the evaluation parameter indexes are different from one another, and the evaluation methods and the evaluation degrees are different from one another due to the difference in the size and the unit of the physical quantity, and the evaluation tendency of each evaluation parameter index on the evaluation target is also different.
In the step, the influence of dimension can be eliminated by normalizing the used indexes by adopting a range method; and negative evaluation parameter indexes which describe the evaluation target in a negative way exist in the offshore wind resource comprehensive evaluation parameters, so that the negative indexes are subjected to positive processing while normalization is performed, so that the evaluation trends of all the evaluation parameter indexes on the evaluation target tend to be the same, namely, the evaluation indexes all show positive evaluation trends, and the execution in the following steps is facilitated.
Further, whether the offshore wind resource comprehensive evaluation parameter is described as a forward indicator is judged based on the correlation between the numerical value of the wind energy resource index parameter and the offshore wind resource.
When judging whether the offshore wind resource comprehensive evaluation parameter is described as a forward index, judging whether the index value of the offshore wind resource comprehensive evaluation parameter meets the requirement that the evaluation of the evaluation target is better when the index value is larger.
After judgment, the wind power density, the effective wind speed occurrence rate, the abundance level occurrence rate and the dominant wind direction frequency can be judged to be forward indexes; the variation coefficient, the offshore distance and the water depth are negative indexes; atmospheric stability does not participate in trend evaluation as it is generally characterized by a dimensionless value of the moniobushf length.
Further, when the offshore wind resource comprehensive evaluation parameter is described as a forward direction index, the wind energy resource index parameter is normalized by adopting the following formula:
when the offshore wind resource comprehensive evaluation parameter is described as a non-positive index, namely a negative index, the wind energy resource index parameter is normalized by adopting the following formula:
wherein x isijIs an initial value, yijIs a value after normalization, and m are both positive integers.
In this step, after normalization processing, the output target values are all within the [0,1] interval, and negative indicators are subjected to positive processing, so that the evaluation trends are consistent.
Step S13, acquiring the preferred evaluation scheme score of the wind power plant based on the normalization value of the offshore wind resource comprehensive evaluation parameter and the preset weight corresponding to the offshore wind resource comprehensive evaluation parameter; wherein the preset weight is used for representing the relative importance degree of each parameter between the corresponding standards of the parameter.
Further, the method for calculating the preset weight comprises the following steps:
firstly, an AHP hierarchical analysis model is established, wherein the AHP hierarchical analysis model comprises a target layer, a criterion layer and a scheme layer.
And then, inputting the wind energy resource index parameters, the stability index parameters and the atmospheric and environmental index parameters into a criterion layer in the AHP hierarchical analysis model, wherein the target layer is an optimal evaluation scheme.
The analytic hierarchy process includes decomposing the decision problem into different hierarchical structures based on the total target, sub targets in different layers, evaluation criteria and specific alternative schemes, solving the characteristic vector of judging matrix to obtain the priority weight of each element in each layer to one element in the upper layer, and combining the final weights of the alternative schemes to the total target in recursion mode with the sum of weights to obtain the optimal scheme.
It should be noted that, constructing a hierarchical structure model is a target that needs to be decided in the embodiments of the present disclosure, and the index that affects the decision and the object that is decided are divided into a target layer, a criterion layer, and a decision layer according to the relationship between them. The target layer is the purpose of decision making, the criterion layer is the influencing factor of decision making, and the decision making layer is the decision making result which can be selected. In the embodiment of the invention, a hierarchical structure model shown in FIG. 2 can be constructed according to the wind energy resource index parameter, the stability index parameter and the atmospheric and environmental index parameters.
And constructing an 8-order judgment matrix according to the comprehensive evaluation parameters of the offshore wind resources, and calculating preset weights of all parameters representing the evaluation of the offshore wind resources in the judgment matrix.
In this step, the judgment matrix represents a comparison of the relative importance of all the evaluation parameter indexes of the current layer with respect to one of the evaluation parameter indexes of the previous layer. In practical application, the pair-wise comparison factors are 8 at most, namely, each layer does not exceed 8 influence factors. The element a of the decision matrix in the embodiment of the present invention is given using the 1-9 scale of Santy. In specific implementation, a 1-9 scaling method is adopted, and a lower table judgment scale table is constructed according to each evaluation parameter index contained in the hierarchical structure model.
TABLE 1 judgment Scale Table
The corresponding judgment matrix is:
the relative importance of each evaluation parameter index is scored by constructing a judgment matrix according to an expert scoring method by means of knowledge storage of experts in the field and relevant experience of the experts in the subject to obtain a judgment scale table, and a corresponding 8-order judgment matrix is determined according to the judgment scale table.
After the 8-order judgment matrix is constructed, consistency check is carried out on the judgment matrix, and in the embodiment of the invention, more reasonable CR is selected as an index for measuring the consistency of the judgment matrix. When CR is less than 0.1, the judgment matrix is considered to have satisfactory consistency, otherwise, the judgment matrix must be judged again until the consistency meeting the conditions is achieved. If the value of CR is less than 0.1, the next step can be performed by a consistency check. If the consistency can not be checked, the judgment matrix needs to be adjusted again, and whether the importance degree of the two-two comparison of some indexes is not in accordance with the objective reality or the strength of the two-two comparison is not good. And when the judgment matrix does not pass the consistency check, the judgment matrix is unqualified to be constructed, and the judgment matrix needs to be reconstructed.
And the consistency ratio CR value of the final matrix is 0.078 and less than 0.1, which indicates that the matrix meets the consistency test, and the calculated weight has consistency. It should be noted that the evaluation parameter indexes used for evaluating the importance of the offshore wind resource integration in the embodiment of the present invention may include, but are not limited to, a wind energy resource index parameter, a stability index parameter, and an atmosphere and environment index parameter, when an evaluation parameter index having more influence appears, the determination matrix needs to be reconstructed, and in specific implementation, the evaluation parameter index and the evaluation parameter index weight may be flexibly adjusted according to the situation so as to adapt to the continuous change of the offshore wind farm. In the embodiments of the present invention, the above-described index is used as an example for explanation.
Finally, obtaining a weight distribution table of each parameter of the offshore wind resource comprehensive evaluation, wherein the weight distribution table is shown as the following table:
TABLE 2
Further, based on the preset weight, giving a preferred evaluation scheme weight coefficient of each parameter in the offshore wind resource comprehensive evaluation parameters respectively.
After the weights with consistency are obtained through calculation, the weights are given to the optimal evaluation scheme weight coefficients corresponding to the parameters respectively.
And then multiplying the weight coefficient of the preferred evaluation scheme of each parameter by the corresponding normalized value of the comprehensive evaluation parameter of the offshore wind resources, and adding to obtain the score of the preferred evaluation scheme of the wind power plant. And carrying out the same operation steps on the wind power plants to be evaluated participating in the evaluation to obtain the optimal evaluation scheme scores of all the wind power plants to be evaluated.
And S14, sequencing the scores of the preferred evaluation schemes of the wind power plants in a descending order, and determining the best evaluation result of the wind power plants.
Specifically, after the scores of the optimal evaluation schemes of all the wind power plants to be evaluated are obtained, the wind power plants to be evaluated are sorted in the order from big to small, the importance of the wind power plants to be evaluated is sorted, and then the optimal wind power plants or the site selection of the optimal wind power plants can be determined according to the sorting result.
As shown in fig. 4, the present disclosure also provides an offshore wind resource comprehensive evaluation apparatus 400, including:
the anemometer tower management module 401 is configured to obtain wind resource time data measured by the anemometer tower within a predetermined time period;
a wind measurement data acquisition module 402, configured to determine an offshore wind resource comprehensive evaluation parameter according to wind resource time data measured by a wind measurement tower in any wind farm within a predetermined time period; wherein, the offshore wind resource comprehensive evaluation parameter comprises: wind energy resource index parameters, stability index parameters and atmospheric and environmental index parameters;
a preprocessing module 403, configured to perform normalization processing on the offshore wind resource comprehensive evaluation parameter by using a range method to obtain a normalized value of the offshore wind resource comprehensive evaluation parameter, so as to eliminate dimensional influence;
the evaluation module 404 is configured to obtain a preferred evaluation scheme score of the wind farm based on the normalized value of the offshore wind resource comprehensive evaluation parameter and a preset weight corresponding to the offshore wind resource comprehensive evaluation parameter; the preset weight is obtained by an analytic hierarchy process based on the offshore wind resource comprehensive evaluation parameter; and comparing the optimal evaluation scheme scores of the plurality of wind power plants to determine the optimal evaluation result of the wind power plants.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
By adopting the device, the evaluation scheme of resources such as offshore resources is established from multiple angles, the importance of offshore wind resource evaluation can be improved, and important reference is further made for site selection of an offshore wind power plant.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the scope of the technical idea of the present disclosure, and these simple modifications are within the scope of the present disclosure.
It should be noted that the various technical features described in the above embodiments may be combined in any suitable manner without contradiction, and the disclosure does not separately describe various possible combinations in order to avoid unnecessary repetition.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (8)
1. A comprehensive evaluation method for offshore wind resources is characterized by comprising the following steps:
determining an offshore wind resource comprehensive evaluation parameter according to wind resource time data measured by a wind measuring tower in any wind power plant within a preset time period;
eliminating the dimensional influence of the offshore wind resource comprehensive evaluation parameters;
acquiring an optimal evaluation scheme score of the wind power plant based on the offshore wind resource comprehensive evaluation parameter without dimensional influence and a preset weight corresponding to the offshore wind resource comprehensive evaluation parameter without dimensional influence; the preset weight is used for representing the relative importance degree of each parameter;
and sequentially sequencing the scores of the preferred evaluation schemes of the wind power plants, and determining the preferred evaluation scheme with the highest score as the best evaluation result of the wind power plants.
2. The method of claim 1, wherein the offshore wind resource integrated assessment parameters comprise a wind energy resource index parameter, a stability index parameter, and atmospheric and environmental index parameters;
wherein the wind energy resource indicator parameter comprises at least one of wind power density, effective wind speed occurrence rate, and abundance level occurrence rate; the stability index parameter comprises at least one of a coefficient of variation and a dominant wind direction frequency; the atmospheric and environmental index parameters comprise at least one of the offshore distance, the water depth and the atmospheric stability.
3. The method of claim 1, wherein the eliminating dimensional effects of the offshore wind resource portfolio evaluation parameters comprises:
judging whether the offshore wind resource comprehensive evaluation parameter is described as a forward index or not based on the correlation between the numerical value of the offshore wind resource comprehensive evaluation parameter and the offshore wind resource;
when the offshore wind resource comprehensive evaluation parameter is described as a forward indicator, performing normalization processing on the offshore wind resource comprehensive evaluation parameter by adopting the following formula:
wherein x isijIs the offshore wind resource comprehensive evaluation parameter; y isijThe offshore wind resource comprehensive evaluation parameter is normalized, namely the offshore wind resource comprehensive evaluation parameter after dimension influence is eliminated; m and m are positive integers.
4. The method according to claim 1, wherein the calculation method of the preset weight comprises:
establishing an AHP hierarchical analysis model, wherein the AHP hierarchical analysis model comprises a target layer, a criterion layer and a scheme layer;
inputting a wind energy resource index parameter, a stability index parameter and an atmosphere and environment index parameter into a criterion layer in the AHP hierarchical analysis model, wherein the target layer is an optimal evaluation scheme;
and constructing an 8-order judgment matrix according to the comprehensive evaluation parameters of the offshore wind resources, and calculating preset weights of all parameters representing the evaluation of the offshore wind resources in the judgment matrix.
5. The method according to claim 1, wherein the obtaining of the preferred assessment plan score of the wind farm based on the normalized value of the offshore wind resource comprehensive assessment parameter and the preset weight corresponding to the offshore wind resource comprehensive assessment parameter comprises:
respectively endowing the optimal evaluation scheme weight coefficient of each parameter in the offshore wind resource comprehensive evaluation parameters based on the preset weight;
and multiplying the weight coefficient of the preferred evaluation scheme of each parameter by the corresponding normalized value of the offshore wind resource comprehensive evaluation parameter, and adding to obtain the score of the preferred evaluation scheme of the wind power plant.
6. An offshore wind resource comprehensive evaluation device, comprising:
the wind measuring tower management module is used for acquiring wind resource time data measured by the wind measuring tower within a preset time period;
the wind measurement data acquisition module is used for determining an offshore wind resource comprehensive evaluation parameter according to wind resource time data measured by a wind measurement tower in any wind power plant within a preset time period; wherein, the offshore wind resource comprehensive evaluation parameter comprises: wind energy resource index parameters, stability index parameters and atmospheric and environmental index parameters;
the preprocessing module is used for carrying out normalization processing on the offshore wind resource comprehensive evaluation parameter by adopting a range method to obtain a normalization value of the offshore wind resource comprehensive evaluation parameter so as to eliminate dimensional influence;
the evaluation module is used for acquiring the preferred evaluation scheme score of the wind power plant based on the normalization value of the offshore wind resource comprehensive evaluation parameter and the preset weight corresponding to the offshore wind resource comprehensive evaluation parameter; the preset weight is obtained by an analytic hierarchy process based on the offshore wind resource comprehensive evaluation parameter; and comparing the scores of the preferred evaluation schemes of the wind power plants to determine the best evaluation result of the wind power plants.
7. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
8. An electronic device, comprising:
the computer-readable storage medium recited in claim 7; and
one or more processors to execute the program in the computer-readable storage medium.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115049317A (en) * | 2022-08-12 | 2022-09-13 | 中国长江三峡集团有限公司 | Selection method and device of wind power resource assessment tool and electronic equipment |
| CN117375004A (en) * | 2023-10-16 | 2024-01-09 | 揭阳前詹风电有限公司 | Resource assessment method and system for offshore wind power construction |
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2021
- 2021-09-22 CN CN202111105942.2A patent/CN114548634A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115049317A (en) * | 2022-08-12 | 2022-09-13 | 中国长江三峡集团有限公司 | Selection method and device of wind power resource assessment tool and electronic equipment |
| CN117375004A (en) * | 2023-10-16 | 2024-01-09 | 揭阳前詹风电有限公司 | Resource assessment method and system for offshore wind power construction |
| CN117375004B (en) * | 2023-10-16 | 2024-04-09 | 揭阳前詹风电有限公司 | Resource assessment method and system for offshore wind power construction |
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