Difference evaluation method and device for pre-estimated power generation indexes of wind power plant and storage medium

Abstract

The invention provides a difference evaluation method and device for pre-estimated power generation indexes of a wind power plant and a storage medium. The method comprises the following steps: acquiring a specified average wind speed and unit power curves of a target wind power plant under multiple design schemes; according to the specified average wind speed and the unit power curve of each design scheme, determining a standard power generation index of each design scheme; determining power curve contribution indexes of the plurality of design schemes according to differences among the standard power generation indexes of the plurality of design schemes; according to the power curve contribution indexes of the plurality of design schemes and a preset power curve contribution threshold, determining whether the unit power curve has significant influence on the difference between the estimated power generation indexes of the plurality of design schemes; and when it is determined that the significant influence is generated, first prompt information is output to prompt abnormal judgment on the unit power curve of at least one design scheme in the multiple design schemes. The method is helpful for objectively analyzing the power generation capacity difference of different design schemes.

Description

Technical Field

[0001] The present disclosure relates to the field of wind turbines, and more specifically, to a method, device and storage medium for evaluating differences in estimated power generation indicators of a wind farm. Background Art

[0002] The preliminary design of a wind farm mainly includes the macro site selection stage and the micro site selection stage. The former is to determine the location of the wind farm, and the latter is based on the wind tower data, terrain data, etc. at the selected location, and the unit design scheme is obtained through simulation calculation. The unit design scheme mainly includes the selection and arrangement of the unit.

[0003] Regarding micro-site selection, the whole machine manufacturers who intend to participate in the construction of wind farms perform simulation calculations and designs based on basic data such as wind tower data and terrain data. The design plan also includes the estimated power generation after the wind farm is completed, such as the annual grid-connected power, to intuitively reflect the power generation capacity of its plan. The higher the power generation capacity of the plan, the more it can guarantee the power generation efficiency after the wind farm is completed and put into operation. However, different whole machine manufacturers process data differently when performing simulation calculations. For example, they may be different in terms of wind tower data processing methods, unit selection, reduction factors, etc., resulting in different unit power curves and average wind speeds of wind farms obtained by simulation processing. There is no unified standard, which makes it difficult to understand the accuracy of each estimated power generation, nor is it conducive to evaluating the power generation capacity of the wind farm based on the estimated power generation, and it is not conducive to the whole machine manufacturers to redesign the unit selection and arrangement based on more accurate estimated power generation to improve their research and development or construction capabilities. Summary of the invention

[0004] Therefore, how to understand the accuracy of the estimated power generation and then evaluate the power generation capacity of the wind farm is crucial to the construction of the wind farm.

[0005] In a general aspect, a method for evaluating differences in estimated power generation indicators of a wind farm is provided, the method comprising: obtaining a specified average wind speed and a unit power curve of a target wind farm under multiple design schemes; determining a standard power generation indicator for each design scheme according to the specified average wind speed and the unit power curve of each design scheme, wherein the standard power generation indicator is used to represent the amount of electricity produced by the target wind farm operating according to the unit power curve of the corresponding design scheme at the specified average wind speed; determining power curve contribution indicators of the multiple design schemes according to differences between the standard power generation indicators of the multiple design schemes; determining whether the unit power curve has a significant impact on the difference between the estimated power generation indicators of the multiple design schemes according to the power curve contribution indicators of the multiple design schemes and a preset power curve contribution threshold, wherein the estimated power generation indicator is used to represent the amount of electricity produced by the target wind farm operating according to the unit power curve of the corresponding design scheme at the simulated average wind speed of the corresponding design scheme; and in the case of determining that the unit power curve has a significant impact on the difference between the estimated power generation indicators of the multiple design schemes, outputting a first prompt information to prompt an abnormal judgment of the unit power curve of at least one of the multiple design schemes.

[0006] Optionally, obtaining the specified average wind speed includes: determining a design scheme from the multiple design schemes as a benchmark scheme, and using other design schemes among the multiple design schemes except the benchmark scheme as evaluation schemes; and using the simulated average wind speed of the benchmark scheme as the specified average wind speed.

[0007] Optionally, determining the power curve contribution indicators of the multiple design schemes based on the differences between the standard power generation indicators of the multiple design schemes includes: determining the deviation rate of the standard power generation indicator of each evaluation scheme relative to the standard power generation indicator of the benchmark scheme as the power curve contribution indicator of each evaluation scheme.

[0008] Optionally, the first prompt information is used to prompt an abnormality judgment on an element in the unit power curve of the corresponding evaluation scheme, wherein the element in the unit power curve includes at least one of the following: power coefficient, wind speed range power value.

[0009] Optionally, the method also includes: when it is determined that the power coefficient of the evaluation scheme corresponding to the first prompt information is greater than or equal to a preset power coefficient threshold, outputting a first abnormal prompt information to prompt that the power coefficient of the corresponding evaluation scheme is abnormally large; and / or when it is determined that the power value of the evaluation scheme corresponding to the first prompt information in the specified wind speed range is higher than a set proportion relative to the power value of the benchmark scheme in the specified wind speed range, outputting a second abnormal prompt information to prompt that the power value of the corresponding evaluation scheme in the specified wind speed range is abnormally large.

[0010] Optionally, the method also includes: determining multiple wind speeds near the specified average wind speed according to specified wind speed intervals to obtain multiple additional average wind speeds; determining an additional power generation index for each design scheme at each additional average wind speed according to the multiple additional average wind speeds and the unit power curve of each design scheme, wherein the additional power generation index is used to represent the amount of electricity produced by the target wind farm when operating according to the unit power curve of the corresponding design scheme at the corresponding additional average wind speed; for each design scheme, performing statistical processing on the difference between the additional power generation indexes corresponding to two adjacent additional average wind speeds to obtain a wind speed sensitive index, wherein the wind speed sensitive index is used to represent the change in the amount of electricity produced by the target wind farm when operating according to the corresponding design scheme when the average wind speed changes by the specified wind speed interval.

[0011] Optionally, the method also includes: when it is determined that the unit power curve does not have a significant impact on the difference between the estimated power generation indicators of the multiple design schemes, or when it is judged that there is no abnormality in the unit power curve of at least one design scheme, outputting a second prompt information to prompt an abnormal judgment on the simulated average wind speed of at least one of the multiple design schemes.

[0012] Optionally, the estimated power generation indicators of the multiple design schemes are obtained by reducing the pre-reduction power generation indicators of the multiple design schemes based on a specified reduction factor; wherein, determining the standard power generation indicator of each design scheme according to the specified average wind speed and the unit power curve of each design scheme includes: determining the standard power generation indicator of each design scheme according to the specified reduction factor, the specified average wind speed and the unit power curve of each design scheme.

[0013] Optionally, the estimated power generation index and the standard power generation index both include at least one of the following: annual grid-connected power, equivalent utilization hours, and capacity factor.

[0014] In another general aspect, a device for evaluating differences in estimated power generation indicators of a wind farm is provided, the device comprising: an acquisition unit configured to acquire a specified average wind speed and unit power curves of a target wind farm under multiple design schemes; a conversion unit configured to determine a standard power generation indicator for each design scheme based on the specified average wind speed and the unit power curve of each design scheme, wherein the standard power generation indicator is used to represent the amount of electricity produced by the target wind farm operating according to the unit power curve of the corresponding design scheme at the specified average wind speed; a contribution unit configured to determine the power curve contribution indicators of the multiple design schemes based on the differences between the standard power generation indicators of the multiple design schemes; and A determining unit is configured to determine whether the unit power curve has a significant impact on the difference between the estimated power generation indicators of the multiple design schemes based on the power curve contribution indicators of the multiple design schemes and a preset power curve contribution threshold, wherein the estimated power generation indicator is used to represent the amount of electricity produced by the target wind farm when operating according to the unit power curve of the corresponding design scheme under the simulated average wind speed of the corresponding design scheme; an output unit is configured to output a first prompt message when it is determined that the unit power curve has a significant impact on the difference between the estimated power generation indicators of the multiple design schemes, so as to prompt an abnormal judgment on the unit power curve of at least one design scheme among the multiple design schemes.

[0015] Optionally, the acquisition unit is further configured to determine a design scheme from the multiple design schemes as a benchmark scheme, and use other design schemes among the multiple design schemes except the benchmark scheme as evaluation schemes; and use the simulated average wind speed of the benchmark scheme as the specified average wind speed.

[0016] Optionally, the contribution unit is further configured to determine a deviation rate of a standard power generation index of each evaluation scheme relative to a standard power generation index of the reference scheme as a power curve contribution index of each evaluation scheme.

[0017] Optionally, the first prompt information is used to prompt an abnormality judgment on an element in the unit power curve of the corresponding evaluation scheme, wherein the element in the unit power curve includes at least one of the following: power coefficient, wind speed range power value.

[0018] Optionally, the output unit is also configured to: when it is determined that the power coefficient of the evaluation scheme corresponding to the first prompt information is greater than or equal to a preset power coefficient threshold, output a first abnormal prompt information to prompt that the power coefficient of the corresponding evaluation scheme is abnormally large; and / or when it is determined that the power value of the evaluation scheme corresponding to the first prompt information in the specified wind speed range is higher than a set proportion relative to the power value of the benchmark scheme in the specified wind speed range, output a second abnormal prompt information to prompt that the power value of the corresponding evaluation scheme in the specified wind speed range is abnormally large.

[0019] Optionally, the device also includes a wind speed unit, configured to determine multiple wind speeds near the specified average wind speed according to specified wind speed intervals to obtain multiple additional average wind speeds; the conversion unit is also configured to determine the additional power generation index of each design scheme under each additional average wind speed based on the multiple additional average wind speeds and the unit power curve of each design scheme, wherein the additional power generation index is used to represent the amount of electricity produced by the target wind farm when operating according to the unit power curve of the corresponding design scheme under the corresponding additional average wind speed; the device also includes a statistical unit, configured to perform statistical processing on the difference between the additional power generation indexes corresponding to two adjacent additional average wind speeds for each design scheme to obtain a wind speed sensitive index, wherein the wind speed sensitive index is used to represent the change in the amount of electricity produced by the target wind farm when operating according to the corresponding design scheme when the average wind speed changes by the specified wind speed interval.

[0020] Optionally, the output unit is also configured to output a second prompt message to prompt an abnormal judgment on the simulated average wind speed of at least one of the multiple design schemes when it is determined that the unit power curve does not have a significant impact on the difference between the estimated power generation indicators of the multiple design schemes, or when it is judged that there is no abnormality in the unit power curve of at least one of the multiple design schemes.

[0021] Optionally, the estimated power generation indicators of the multiple design schemes are obtained by reducing the pre-reduction power generation indicators of the multiple design schemes based on a specified reduction coefficient; the conversion unit is also configured to determine the standard power generation indicator of each design scheme based on the specified reduction coefficient, the specified average wind speed and the unit power curve of each design scheme.

[0022] Optionally, the estimated power generation index and the standard power generation index both include at least one of the following: annual grid-connected power, equivalent utilization hours, and capacity factor.

[0023] In another general aspect, a computer-readable storage medium is provided, which, when instructions in the computer-readable storage medium are executed by at least one processor, causes the at least one processor to execute the above-mentioned method for evaluating the difference of the estimated power generation index of a wind farm.

[0024] In another general aspect, there is provided a computer device comprising: at least one processor; and at least one memory storing computer executable instructions, wherein the computer executable instructions, when executed by the at least one processor, cause the at least one processor to execute the method for evaluating differences in estimated power generation indicators of a wind farm as described above.

[0025] The present disclosure provides a method, device and storage medium for evaluating the difference of wind farm design schemes. It is found through analysis that the estimated power generation index is affected by two major factors, the unit power curve and the simulated average wind speed, and for different types of units, the difference between the power generation capacity of a single unit itself is limited. The present disclosure quantitatively analyzes the difference of the estimated power generation index of each design scheme due to the unit power curve based on the specified average wind speed, and obtains the power curve contribution index, which can objectively and intuitively reflect whether the unit power curve has a significant impact on the estimated power generation index of different design schemes, and then prompts to make an abnormal judgment on the unit power curve of at least one design scheme when it is determined that a significant impact is produced, so as to facilitate the analysis of whether the unit power curve of the design scheme is abnormal, so as to understand the accuracy of the estimated power generation index of the corresponding design scheme, which is helpful to objectively analyze the actual power generation capacity difference of different design schemes, and help the whole machine manufacturer to redesign the selection and arrangement of the unit according to more accurate estimated power generation indicators to improve its research and development or construction capabilities.

[0026] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a flow chart showing a method for evaluating the difference of wind farm estimated power generation indicators according to an embodiment of the present disclosure;

[0028] Figure 2 is a schematic flow chart showing a method for evaluating the difference of wind farm estimated power generation indicators according to a specific embodiment of the present disclosure;

[0029] Figure 3 is a block diagram showing a device for evaluating the difference of wind farm estimated power generation indicators according to an embodiment of the present disclosure;

[0030] Figure 4 is a block diagram illustrating a computer device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0031] The following specific embodiments are provided to help the reader obtain a comprehensive understanding of the methods, devices and / or systems described herein. However, after understanding the disclosure of the present application, various changes, modifications and equivalents of the methods, devices and / or systems described herein will be clear. For example, the order of operations described herein is only an example and is not limited to those orders set forth herein, but can be changed as will be clear after understanding the disclosure of the present application, except for operations that must occur in a specific order. In addition, for greater clarity and simplicity, the description of features known in the art may be omitted.

[0032] The features described herein can be implemented in different forms and should not be construed as being limited to the examples described herein. Rather, the examples described herein have been provided to illustrate only some of the many possible ways to implement the methods, devices, and / or systems described herein, which will be clear after understanding the disclosure of the present application.

[0033] As used herein, the term "and / or" includes any one of the associated listed items and any combination of any two or more.

[0034] Although terms such as "first", "second", and "third" may be used herein to describe various members, components, regions, layers, or portions, these members, components, regions, layers, or portions should not be limited by these terms. Instead, these terms are only used to distinguish one member, component, region, layer, or portion from another member, component, region, layer, or portion. Therefore, without departing from the teachings of the examples described herein, the first member, first component, first region, first layer, or first portion referred to in the examples may also be referred to as the second member, second component, second region, second layer, or second portion.

[0035] In the specification, when an element (such as a layer, a region, or a substrate) is described as being “on”, “connected to”, or “coupled to” another element, the element may be directly “on”, “connected to”, or “coupled to” another element, or one or more other elements may be present therebetween. Conversely, when an element is described as being “directly on”, “directly connected to”, or “directly coupled to” another element, there may be no other elements present therebetween.

[0036] The terms used herein are only used to describe various examples and are not intended to limit the disclosure. Unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. The terms "comprise", "include" and "have" indicate the presence of the described features, quantities, operations, components, elements and / or combinations thereof, but do not exclude the presence or addition of one or more other features, quantities, operations, components, elements and / or combinations thereof.

[0037] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as those generally understood by a person of ordinary skill in the art to which the present disclosure belongs after understanding the present disclosure. Unless explicitly defined as such herein, terms (such as those defined in a general dictionary) should be interpreted as having a meaning consistent with their meaning in the context of the relevant art and the present disclosure, and should not be interpreted in an idealized or overly formal manner.

[0038] Furthermore, in the description of examples, when it is considered that a detailed description of a well-known related structure or function would cause vague interpretation of the present disclosure, such a detailed description will be omitted.

[0039] Figure 1 Detailed description is a flow chart showing a method for evaluating differences in wind farm estimated power generation indicators according to an embodiment of the present disclosure.

[0040] Reference Figure 1 In step S101, the specified average wind speed and the unit power curve of the target wind farm under multiple design schemes are obtained. The target wind farm is the wind farm to be micro-sited.

[0041] Before introducing the specified average wind speed, it is necessary to first introduce the simulated average wind speed, unit power curve and estimated power generation indicators of the design scheme.

[0042] The simulated average wind speed is the average wind speed of the target wind farm obtained through simulation calculation. Specifically, the whole machine manufacturer can interpolate the incomplete wind tower data based on the basic data such as the wind tower data and terrain data of the target wind farm, and then make representative year corrections to the wind tower data with a sufficiently high completeness rate to weaken the impact of high wind years or low wind years, reflecting the long-term wind resource level of the target wind farm. The representative year corrected wind speed at the height of the wind turbine hub is then obtained, and the representative year corrected wind speed is used as the average wind speed. Combined with the Weibull distribution, the wind speed distribution is obtained to describe the initial wind resources of the target wind farm. Next, combined with the topographic map of the target wind farm (including contour lines, ground roughness and other data) and the unit arrangement data in the design plan, simulation calculations are performed to obtain the flow field distribution of the target wind farm under the corresponding unit arrangement. By post-processing the flow field distribution data, the hub height wind speed and wake loss can be obtained, wherein the wake loss indicates the weakening of the wind speed of the downstream unit by the unit arranged upstream, for example, 3% or 6%. Therefore, by deducting the wake loss from the hub height wind speed, the simulated wind speed at the hub height can be obtained as the simulated average wind speed.

[0043] The unit power curve is the corresponding curve between the output power of the wind turbine and the wind speed, which is used to describe the functional relationship between the net power output of the wind turbine and the wind speed. The unit power curve is not only related to the structure of the unit itself, but also to the wind resource conditions of the wind farm. In engineering applications, the unit power curve is often determined based on the model selected in the design plan, combined with the data describing the airflow such as the inflow angle, air density, and turbulence intensity. These data describing the airflow can be calculated based on the data of the wind tower, or they can be obtained based on the flow field distribution obtained by simulation calculation.

[0044] The estimated power generation index is used to represent the amount of electricity produced by the target wind farm under the simulated average wind speed of the corresponding design scheme according to the unit power curve of the corresponding design scheme. As mentioned above, the unit power curve is the corresponding curve of the unit output power and wind speed, and the wind speed distribution throughout the year can be obtained based on the simulated average wind speed and Weibull distribution, so the theoretical power generation throughout the year can be obtained by combining the unit power curve and the wind speed distribution. In addition, in order to evaluate the factors that affect the actual output of the wind farm, such as air density, control strategy, freezing, etc., a reduction factor is often introduced. The reduction factor is a general term for the percentage of wind farm power generation reduction caused by various factors. The product of the annual theoretical power generation and the reduction factor is the annual grid-connected power. It should be understood that different forms of data conversion can be performed based on the annual grid-connected power, so that different forms of data can be used to reflect the power generation capacity. The annual grid-connected power and these different forms of data can be used as estimated power generation indicators, and the present disclosure does not limit this.

[0045] Optionally, the estimated power generation index includes at least one of the following: annual grid-connected electricity, equivalent utilization hours, and capacity factor. The meaning of annual grid-connected electricity is as described above; the equivalent utilization hours are the ratio of annual grid-connected electricity to the total installed capacity of the corresponding design scheme; the capacity factor is the ratio of equivalent utilization hours to the total hours of the year (i.e., 24×365=8760 hours). By using any of the above forms of data as the estimated power generation index, it is possible to flexibly select specific variables while effectively reflecting the power generation capacity of the corresponding design scheme, thereby improving the flexibility of the scheme. As an example, since equivalent utilization hours are usually used in actual design, the present disclosure may also use equivalent utilization hours to reduce data conversion steps and reduce the amount of calculation.

[0046] It can be seen that the estimated power generation indicators provided by the whole machine manufacturer will vary due to the selection of the number of wind towers (which will affect the total amount of wind tower data and the coverage density in the geographical range, and thus affect the accurate reflection of the wind tower data on the initial wind resources of the target wind farm), wind tower data processing methods, simulation software, reduction factor values, unit power curves, unit layout, etc., but in the final analysis, the power generation capacity of the design scheme is mainly affected by two major factors: the simulated average wind speed and the unit power curve. The former focuses on the wind energy available in the environment, and the latter focuses on the unit's ability to capture wind energy. These two factors are calculated by the whole machine manufacturer providing the corresponding design scheme. Therefore, the simulated average wind speed and unit power curve of different design schemes are different, and the accuracy of the estimated power generation indicators of each design scheme can be understood by analyzing the accuracy of these two factors. The specified average wind speed is the average wind speed uniformly specified for different design schemes. In addition, it should be noted that although the previous article introduced that the annual grid-connected electricity is also affected by the reduction factor, the reduction factor reflects the loss of power generation, not the power generation capacity, and the reduction factors selected by different design schemes are often not very different, so there is no need to judge the accuracy of the reduction factor.

[0047] In step S102, the standard power generation index of each design scheme is determined according to the specified average wind speed and the unit power curve of each design scheme. The standard power generation index is used to represent the amount of electricity produced by the target wind farm under the specified average wind speed according to the unit power curve of the corresponding design scheme. By determining the standard power generation index for each design scheme according to the unified specified average wind speed, it is possible to understand the power generation capacity of different design schemes that are affected by the unit power curve alone after removing the influence of the simulated average wind speed. In theory, the difference between the unit power curves of different design schemes is not too great, so this difference in power generation capacity can be used as a reference for analyzing the accuracy of the unit power curve in subsequent steps. It should be understood that when determining the standard power generation index, the method for determining the estimated power generation index based on the simulated average wind speed and the unit power curve introduced above can be referred to, and the simulated average wind speed can be replaced by the specified average wind speed; accordingly, the standard power generation index also includes at least one of the following: annual grid-connected electricity, equivalent utilization hours, and capacity factor.

[0048] It should be understood that, although it is not necessary to judge the accuracy of the reduction coefficient, the scheme of the present disclosure can still be further optimized based on the reduction coefficient. In this regard, optionally, it is required that the estimated power generation indicators of multiple design schemes are obtained after reducing the pre-reduction power generation indicators of multiple design schemes based on the specified reduction coefficient; accordingly, step S102 includes: determining the standard power generation indicator of each design scheme according to the specified reduction coefficient, the specified average wind speed and the unit power curve of each design scheme. By using a unified specified reduction coefficient to obtain the estimated power generation indicator and the standard power generation indicator of each design scheme, the normalization of the power generation indicator can be achieved, reducing the impact of different design schemes using different reduction coefficients on the power generation indicator, which helps to more accurately compare different design schemes.

[0049] In step S103, the power curve contribution indexes of the multiple design schemes are determined according to the differences between the standard power generation indexes of the multiple design schemes. As mentioned above, the standard power generation index reflects the power generation capacity of the corresponding design scheme under the influence of the unit power curve alone, so its difference can quantitatively reflect the impact of the unit power curve on the difference in the estimated power generation index, so it is named the power curve contribution index.

[0050] In step S104, based on the power curve contribution indicators of the multiple design solutions and the preset power curve contribution threshold, it is determined whether the unit power curve has a significant impact on the difference between the estimated power generation indicators of the multiple design solutions.

[0051] It should be noted that regarding the "significant impact" of the unit power curve, as mentioned above, the estimated power generation index is affected by two major factors: the simulated average wind speed and the unit power curve. The former focuses on the wind energy available in the environment, and the latter focuses on the unit's ability to capture wind energy. The ability of units from different manufacturers to capture wind energy is usually not too different, so the impact on power generation capacity is not too large. The "significant impact" here means that there are obvious differences in the ability of the units to capture wind energy, which even leads to differences in the estimated power generation index. It should be understood that, although the difference in the unit power curve is large enough to affect the difference in the estimated power generation index, it does not mean that the unit power curve occupies a dominant position in the estimated power generation index. In other words, the difference in the simulated average wind speed may still have a significant impact on the estimated power generation index. For example, the simulated average wind speed and the unit power curve of a certain design scheme are relatively large, resulting in a larger estimated power generation index for the design scheme. However, the method disclosed in this disclosure does not pay attention to the impact of the simulated average wind speed for the time being, so it is not described here as "determining that the difference between the estimated power generation indicators of multiple design schemes comes from the unit power curve" or "determining that the difference between the estimated power generation indicators of multiple design schemes is mainly affected by the unit power curve". Of course, in theory, there may be a special case, that is, the unit power curve of a certain design scheme is relatively large, which is actually large enough to affect the difference in the estimated power generation index, but because the simulated average wind speed is relatively large, the impact on the difference in the estimated power generation index is also greater, resulting in a relatively small value of the power curve contribution index, and the "significant impact" of the unit power curve cannot be identified, but this situation is relatively rare in practice, so it can be ignored.

[0052] By configuring the preset power curve contribution threshold, it is possible to quickly judge the level of the power curve contribution index to understand whether the differences between the power curves of different design schemes are too great, which helps indicate whether the accuracy of the power curve of the unit is questionable. Specifically, if the absolute value of the power curve contribution index is greater than or equal to the power curve contribution threshold, it is determined that the difference in the power curve of the unit has a significant impact on the difference in power generation capacity, otherwise it is determined that the difference in the power curve of the unit has no significant impact on the difference in power generation capacity.

[0053] In step S105, when it is determined that the unit power curve has a significant impact on the difference between the estimated power generation indicators of multiple design schemes, the first prompt information is output to prompt an abnormal judgment on the unit power curve of at least one of the multiple design schemes. When it is determined that the unit power curve has a significant impact on the difference between the estimated power generation indicators, it indicates that the larger unit power curve may be abnormally high, and its accuracy is questionable. However, it is worth noting that it cannot be determined at this time that the unit power curve must be abnormal. For example, the corresponding simulated average wind speed may be relatively low, resulting in a relatively increased impact of the unit power curve on the estimated power generation index. Therefore, by outputting the first prompt information to prompt an abnormal judgment on the unit power curve, in order to check whether the unit power curve is abnormally high, it will not directly deny the accuracy of the unit power curve rashly, but also provide a reliable basis for subsequent work. As an example, since anomalies often occur in design schemes with higher estimated power generation indicators, when making anomaly judgments, only the unit power curves of design schemes with relatively high estimated power generation indicators and high power curve contribution indicators (that is, the absolute value is greater than or equal to the power curve contribution threshold) can be judged. In other words, such design schemes are more likely to have abnormally high unit power curves, so as to reduce the workload.

[0054] In general, according to the method for evaluating the differences in estimated power generation indicators of wind farms in the embodiments of the present disclosure, based on the specified average wind speed, a quantitative analysis is performed on the differences in the estimated power generation indicators of each design scheme due to the unit power curve, and a power curve contribution index is obtained. This can objectively and intuitively reflect whether the unit power curve has a significant impact on the estimated power generation indicators of different design schemes, and then, when it is determined that a significant impact has occurred, it is prompted to make an abnormal judgment on the unit power curve of at least one design scheme, which is convenient for analyzing whether there is an abnormality in the unit power curve of the design scheme, thereby understanding the accuracy of the estimated power generation indicators of the corresponding design scheme, helping to objectively analyze the actual power generation capacity differences of different design schemes, and helping the whole machine manufacturer to redesign the selection and arrangement of the unit according to more accurate estimated power generation indicators to improve its research and development or construction capabilities.

[0055] Next, a method for evaluating the difference of estimated power generation indicators of a wind farm according to an embodiment of the present disclosure is further introduced.

[0056] In order to conveniently characterize the differences between the estimated power generation indicators of multiple design schemes, in some embodiments, optionally, the step of obtaining the specified average wind speed in step S101 includes: determining a design scheme from multiple design schemes as a benchmark scheme, and taking the other design schemes except the benchmark scheme from the multiple design schemes as evaluation schemes; taking the simulated average wind speed of the benchmark scheme as the specified average wind speed. By selecting one of the design schemes as the benchmark scheme, and correspondingly taking the other design schemes as evaluation schemes, the differences between each evaluation scheme and the benchmark scheme can be calculated one by one, and the differences between the various design schemes can be intuitively reflected under the same benchmark. At the same time, by taking the simulated average wind speed of the benchmark scheme as the specified average wind speed, on the one hand, the role of the benchmark scheme as a benchmark can be reflected, and on the other hand, since the simulated average wind speed of the benchmark scheme is equal to the specified average wind speed, its estimated power generation indicator is also equal to the standard power generation indicator, so there is no need to calculate the standard power generation indicator of the benchmark scheme, which helps to reduce the amount of calculation and improve the calculation efficiency. As an example, you can arbitrarily select a design scheme as a benchmark scheme; you can also use two or more design schemes as benchmark schemes and perform multiple rounds of analysis; you can also select a design scheme with the lowest estimated power generation index as the benchmark scheme, then the estimated power generation index of the evaluation scheme is higher than the estimated power generation index of the benchmark scheme, and abnormalities often occur in design schemes with higher estimated power generation indexes, so only one round of evaluation can be performed on each evaluation scheme, which helps reduce the amount of calculation. The present disclosure does not limit the selection of the benchmark scheme.

[0057] Based on the determination of the benchmark scheme and the evaluation scheme, optionally, the step of determining the power curve contribution index of multiple design schemes, that is, step S103 includes: determining the deviation rate of the standard power generation index of each evaluation scheme relative to the standard power generation index of the benchmark scheme as the power curve contribution index of each evaluation scheme. As mentioned above, the standard power generation index can reflect the power generation capacity of each design scheme that is affected by the power curve of the unit alone. By targeting the standard power generation index, the deviation rate of the evaluation scheme relative to the benchmark scheme is used as the power curve contribution index, that is, first determine the difference between the standard power generation index of the evaluation scheme and the standard power generation index of the benchmark scheme, and then use the ratio of the difference to the standard power generation index of the benchmark scheme as the power curve contribution index. This can not only characterize the impact of the unit power curve on the difference in power generation capacity between the evaluation scheme and the benchmark scheme, but also simplify the calculation, which helps to improve the evaluation efficiency. As an example, at this time, the power curve contribution threshold is 10%, and a design scheme with the lowest estimated power generation index is selected as the benchmark scheme. Once the power curve contribution index of an evaluation scheme exceeds 10%, it is considered that the unit power curve of the evaluation scheme has an excessive impact on the difference in power generation capacity between the evaluation scheme and the benchmark scheme, and its unit power curve may be abnormally high.

[0058] Regarding the abnormal judgment on the unit power curve, in some embodiments, optionally, the first prompt information is used to prompt the abnormal judgment of the elements in the unit power curve of the corresponding evaluation scheme, wherein the elements in the unit power curve include at least one of the following: power coefficient, wind speed section power value. By making specific restrictions, the abnormal judgment of specific elements in the unit power curve is made, which helps to improve the judgment efficiency. Specifically, the power coefficient of a wind turbine is also called the wind energy utilization coefficient. Its physical meaning is the percentage of the energy that the wind rotor of the wind turbine can obtain from natural wind to the wind energy contained in the undisturbed airflow within the swept area of ​​the wind rotor, which can be expressed by the following formula:

[0059]

[0060] Among them, Cp is the power coefficient, P is the actual output power obtained by the wind turbine, ρ is the air density, S is the swept area of ​​the wind wheel, and V is the wind speed.

[0061] The wind speed segment power value is the power value of the specified wind speed segment. When the wind speed reaches the cut-in wind speed, the wind turbine generator set starts to connect to the grid for power generation. At this time, the speed and output power of the set are relatively low; thereafter, as the wind speed increases, the speed and output power gradually increase, wherein the speed first reaches the rated speed, and at this time the output power has not yet reached the rated power (i.e., full load power), and the wind speed continues to increase until it reaches the full load power, that is, full power is achieved; thereafter, as the wind speed increases, the windward surface of the blades can be gradually reduced to protect the wind wheel, and the set is stabilized in the full power state; when the wind speed increases to the cut-out wind speed, in order to protect the safety of the set, it is necessary to shut down and exit the grid. As an example, the specified wind speed segment includes, for example, a transition wind speed segment and a full power wind speed segment, wherein the transition wind speed segment is the interval of wind speed corresponding to when the set just reaches the rated speed to when the set just reaches the full power state, and the full power wind speed segment is the interval from the wind speed when the set just reaches the full power state to the cut-out wind speed. It should be understood that for different units, the specific values ​​of the transition wind speed segment and the full-power wind speed segment will be different. By dividing the compared wind speed segments according to the output status, rather than uniformly adopting wind speed segments with fixed values, the comparability of power curves of different units can be improved and the comparison effect can be guaranteed.

[0062] Further optionally, based on the determination of the benchmark scheme and the evaluation scheme, after outputting the first prompt information, the difference evaluation method for the estimated power generation index of the wind farm according to the embodiment of the present disclosure also includes: when it is determined that the power coefficient of the evaluation scheme corresponding to the first prompt information (i.e., the evaluation scheme whose unit power curve has doubts about its accuracy) is greater than or equal to the preset power coefficient threshold, outputting the first abnormal prompt information to prompt that the power coefficient of the corresponding evaluation scheme is abnormally large. According to relevant literature research, for actual wind turbines with a lift-to-drag ratio of less than 100, the power coefficient cannot exceed 0.538. If the influence of practical problems such as the limited number of blades and blade structure is considered, the power coefficient of the actual wind turbine is difficult to exceed 0.500. If there is a power coefficient exceeding 0.5, it does not conform to the actual law. Based on this, by configuring a power coefficient threshold, such as 0.5, it is possible to directly determine whether the power coefficient of the corresponding evaluation scheme is abnormally large, thereby achieving convenient and automated abnormal judgment.

[0063] Similarly, based on the determination of the benchmark scheme and the evaluation scheme, after outputting the first prompt information, the method for evaluating the difference in estimated power generation indicators of a wind farm according to an embodiment of the present disclosure also includes: when it is determined that the power value of the evaluation scheme corresponding to the first prompt information in the specified wind speed section is higher than the power value of the benchmark scheme in the specified wind speed section by a set ratio, outputting a second abnormal prompt information to prompt that the power value of the corresponding evaluation scheme in the specified wind speed section is abnormally large. As mentioned above, the difference between the power curves of the units of different design schemes is not too great. By selecting a representative specified wind speed section and configuring a conventional setting ratio in the field, and comparing the difference between the power values ​​of the evaluation scheme and the benchmark scheme in the specified wind speed section, it is possible to effectively judge whether the power value of the specified wind speed section of the evaluation scheme is abnormally large from the perspective of relative evaluation, and it is also possible to achieve convenient and automated abnormal judgment.

[0064] It should be understood that the set ratio can be determined based on the comparative analysis of the actual unit power curve, which means that for the case of more than two specified wind speed segments, the set ratios corresponding to different specified wind speed segments may be different. For the case of more than two specified wind speed segments, the second abnormal prompt information can be output when the power values ​​of at least N specified wind speed segments are abnormally large, where N is the set value, the minimum value of N is 1, and the maximum value of N is the number of specified wind speed segments included; priorities can also be set for each specified wind speed segment included, and different judgment criteria are implemented according to the priority, such as being divided into two levels of priority, directly outputting the second abnormal prompt information when the power value of any specified wind speed segment with a higher priority is abnormally large, and outputting the second abnormal prompt information when the power values ​​of at least M specified wind speed segments with a lower priority are abnormally large, where M is the set value, the minimum value of M is 1, and the maximum value of M is the number of specified wind speed segments with a lower priority. The execution strategies listed above for the case of more than two specified wind speed segments are only examples, and the present disclosure does not limit this.

[0065] As an example, the designated wind speed segment includes the aforementioned transition wind speed segment and full-power wind speed segment, the setting ratio of the transition wind speed segment is 2%, the setting ratio of the full-power wind speed segment is 5%, and it is stipulated that the second abnormal prompt information is output when the power values ​​of the two designated wind speed segments are abnormally large. At this time, if the power value of the evaluation scheme corresponding to the first prompt information in the transition wind speed segment is more than 2% higher than the power value of the benchmark scheme in the transition wind speed segment, and the power value of the evaluation scheme in the full-power wind speed segment is more than 5% higher than the power value of the benchmark scheme in the full-power wind speed segment, then the second abnormal prompt information is output.

[0066] To provide richer evaluation information, in some embodiments, optionally, the difference evaluation method of the wind farm estimated power generation index according to the embodiment of the present disclosure also includes: according to the specified wind speed interval, multiple wind speeds are determined near the specified average wind speed to obtain multiple additional average wind speeds; according to the multiple additional average wind speeds and the unit power curve of each design scheme, the additional power generation index of each design scheme under each additional average wind speed is determined, wherein the additional power generation index is used to represent the amount of electricity produced by the target wind farm under the corresponding additional average wind speed according to the unit power curve of the corresponding design scheme; for each design scheme, the difference between the additional power generation indexes corresponding to two adjacent additional average wind speeds is statistically processed to obtain a wind speed sensitive index, wherein the wind speed sensitive index is used to represent the change in the amount of electricity produced by the target wind farm when the average wind speed changes by the specified wind speed interval. For the same design scheme, its unit power curve is naturally consistent. By further obtaining multiple additional power generation indicators corresponding to the additional average wind speed and the corresponding wind speed sensitivity indicators for each design scheme, it is possible to understand the corresponding design scheme after removing the influence of the unit power curve, and the power generation that can be increased by increasing the average wind speed alone. Therefore, it reflects the sensitivity of the unit to the average wind speed, and this sensitivity is essentially derived from the quality of the unit power curve, that is, whether the unit power curve can increase rapidly with the increase of wind speed, so it can provide richer evaluation information. In addition, since the wind speed sensitivity index can reflect the quality of the unit power curve, it can also provide a reference for the whole machine manufacturer to optimize its own unit, which helps to improve its research and development capabilities. From the perspective of the entire industry, it is conducive to improving the efficiency of wind energy utilization. It should be understood that for the aforementioned embodiment of using a unified specified reduction coefficient to calculate the estimated power generation index and standard power generation index of each design scheme, the specified reduction coefficient can also be used to calculate each additional power generation index of each design scheme. The specific calculation method is the same and will not be repeated here.

[0067] Regarding the relationship between the power curve contribution index and the wind speed sensitivity index, it should be understood that, as mentioned above, the estimated power generation index is affected by two factors: the unit power curve and the simulated average wind speed. Therefore, the power curve contribution index reflects the degree to which the unit power curve affects the estimated power generation index, and does not directly reflect the quality of the unit power curve. In other words, a design scheme has a higher wind speed sensitivity index, indicating that its unit power curve is better and has a stronger ability to capture wind energy, but this does not mean that its power curve contribution index must be higher, because there may be a situation where the simulated average wind speed has a relatively greater impact on its estimated power generation index, resulting in a relatively low power curve contribution index.

[0068] Finally, in some embodiments, optionally, after step S105, the method for evaluating the difference of the estimated power generation index of the wind farm according to the embodiment of the present disclosure further includes: when it is determined that the unit power curve does not have a significant impact on the difference between the estimated power generation indexes of multiple design schemes, or when it is judged that the unit power curve of at least one design scheme is normal, output a second prompt information to prompt an abnormal judgment on the simulated average wind speed of at least one of the multiple design schemes. By further outputting a second prompt information to prompt an abnormal judgment on the simulated average wind speed when there is no need to judge the abnormality of the unit power curve, or when it is judged that the unit power curve is normal, to check whether the simulated average wind speed is abnormally high, a more comprehensive evaluation can be achieved, which helps to fully clarify the differences and accuracy of different estimated power generation indicators. In addition, since there is no significant impact on the unit power curve, there is no need to judge the abnormality of the unit power curve, and the simulated average wind speed can be directly judged abnormally, so the amount of calculation for judgment can be effectively reduced, which helps to improve the judgment efficiency. It should be understood that the simulated average wind speed is affected by various stages such as simulation pre-data preparation, simulation calculation, and simulation data post-processing, so an abnormality judgment can be made for each stage. This judgment is something that a person skilled in the art can make in combination with his or her technical knowledge, and will be given an example in conjunction with a specific embodiment below, which will not be expanded here for the time being.

[0069] Next, combine Figure 2 and one The following is a general introduction to the method for evaluating the difference in power generation indicators of a wind farm according to an embodiment of the present disclosure with reference to a specific embodiment.

[0070] In this specific embodiment, a total of 4 design schemes are involved, with Scheme 1 as the benchmark scheme and the other schemes as evaluation schemes. The simulation calculation adopts CFD (Computational Fluid Dynamics) simulation. Figure 2 , this method includes the following five steps.

[0071] STEP 1: Collect information.

[0072] This step obtains the preliminary assessment data of the target wind farm, including the assessment report, unit power curve (design or guaranteed power curve, including power factor), wind tower data, etc. The data contents are listed and matched in the order of processing, as shown in Table 1 below.

[0073] Table 1 Information List

[0074]

[0075] Among them, wind tower data usually needs to use data at a specific height, such as 70 meters, and wind tower data is usually time series data for a whole year, so if there is data missing, it will affect the accuracy of simulation calculations. Usually, the data completeness rate is required to reach 90%, which is sufficient to meet the needs of simulation calculations. If the completeness rate is less than 90%, it is necessary to use other data such as meteorological station observation data to interpolate the missing data.

[0076] A complete year refers to the number of years of wind tower data used, and different wind turbine manufacturers may use different complete years.

[0077] Wind shear represents the change of wind vector (wind direction, wind speed) in horizontal and / or vertical distance in the air. Based on the annual corrected wind speed represented by the wind tower near the hub height and the change of wind speed in vertical distance in wind shear, the annual corrected wind speed represented by the hub height can be obtained.

[0078] The hub-height wind speed before the full-field wake refers to the hub-height wind speed directly obtained after post-processing the simulation output data. The hub-height wind speed after the full-field wake refers to the wind speed obtained by deducting the wake loss from the hub-height wind speed before the full-field wake, which is the simulation average wind speed introduced in the previous article.

[0079] The estimated power generation index is specifically based on the equivalent utilization hours.

[0080] The hub height in Table 1 represents the annual corrected wind speed, unit power curve, hub height wind speed before the full-field wake, wake loss, hub height wind speed after the full-field wake, and reduction factor are the key parameters for difference evaluation.

[0081] It should also be noted that the calculation of the power curve contribution index will be performed in subsequent steps, and the current STEP 1 only lists all the information.

[0082] STEP 2: Normalize the estimated power generation indicators of each design scheme according to the specified reduction factor.

[0083] The normalized estimated power generation indexes of each design scheme are recorded as Y1, Y2, Y3, and Y4, respectively, where Y1 represents the normalized estimated power generation index of scheme 1, and the others are similar.

[0084] STEP 3: Evaluate the sensitivity of the power generation indicators of each design scheme to the unit power curve and average wind speed.

[0085] The simulated average wind speed of Scheme 1 is taken as the specified average wind speed V. In the wind speed range of V to (V+0.5m / s), multiple additional average wind speeds are determined according to the specified wind speed interval of 0.1m / s. The wind speed distribution is determined by using Rayleigh distribution (shape parameter k=2) according to Weibull distribution. Combined with the unit power curves and specified reduction factors of each design scheme, the additional power generation index P of each design scheme is calculated and listed in the following Table 2.

[0086] In Table 2, P ij is the additional power generation index of scheme i under the jth additional average wind speed, i=1,2,3,4,j=0,1,2,3,4,5. i0 is the standard power generation index of scheme i, which can be regarded as a special additional power generation index. i P ij With P i(j-1) The deviation interval value, that is, N i =[MIN(P ij -P i(j-1) ),MAX(P ij -P i(j-1) )],N i The specific value of is selected based on the wind speed value, and its statistical value is the wind speed sensitivity index.

[0087] Table 2 Statistics of the sensitivity of power generation indicators to unit power curve and average wind speed

[0088]

[0089] STEP 4: Difference quantification

[0090] This step is used to calculate the power curve contribution index. Taking scheme 2 as an example, its power curve contribution index C2 = (P 20 -P 10 ) / P 10 , where P 20 -P 10 It indicates the absolute difference between the estimated power generation indicators of Scheme 2 and Scheme 1 due to the influence of the unit power curve, and the power curve contribution index C2 indicates the relative difference.

[0091] In addition, the absolute difference between the estimated power generation indicators of Scheme 2 and Scheme 1 affected by the simulated average wind speed can also be calculated, W2 = (V2-V) * N1 (where V2 is the simulated average wind speed of Scheme 2), which indicates the difference in the estimated power generation indicators of Scheme 2 due to the difference in simulated average wind speed from Scheme 1. However, calculating only the power curve contribution index C2 is sufficient to meet the needs of difference assessment. The absolute difference W2, like the wind speed sensitivity index, can be used as additional information.

[0092] STEP5: Analysis of causes of differences in estimated power generation indicators

[0093] First, determine whether the difference from the unit power curve is abnormal.

[0094] For an evaluation scheme, if its power curve contribution index exceeds the preset power curve contribution threshold of 10%, it generally means that its unit power curve has a greater impact on the difference in the estimated power generation index. The differences of the 13 factors listed in Table 1 should be checked, that is, the abnormality of its unit power curve should be judged, including whether the power coefficient and the power value of the wind speed section are abnormal. If the power coefficient of the evaluation scheme exceeds 0.5, it is judged to be abnormal and the first abnormal prompt information is output; if the power value of the evaluation scheme in the full-power wind speed section increases by ≤5% relative to the power value of the benchmark scheme in the full-power wind speed section, and the power value of the evaluation scheme in the transition wind speed section increases by ≤2% relative to the power value of the benchmark scheme in the transition wind speed section, it is judged to be normal, otherwise it is abnormal and the second abnormal prompt information is output.

[0095] If there is an abnormality in the unit power curve, the whole machine manufacturer can update the unit power curve and update its estimated power generation index accordingly. If there is no abnormality, the unit power curve of the evaluation scheme is considered to be accurate and reliable.

[0096] When the power curve contribution index of the evaluation scheme is less than 10%, or after judging that the power curve of the unit is normal, a second prompt message is output to prompt whether the difference from the simulated average wind speed is abnormal, that is, to judge whether the simulated average wind speed is abnormal.

[0097] As an example, the abnormality judgment should be based on the differences in factors 20 (wake loss), 19 (hub height wind speed before the wake of the entire field), 15 (unit arrangement), 8 (hub height represents the annual corrected wind speed), 7 (wind shear), 6 (wind towers near the hub height represent the annual corrected wind speed), 5 (representative annual correction), 4 (complete year), 3 (data interpolation), 2 (wind tower data completeness rate), and 1 (number of wind towers) listed by the OEM in Table 1 in the reverse verification evaluation report of factor 21 (the average wind speed at hub height after the wake of the entire field).

[0098] First, check factors 20 (wake loss), 19 (wind speed at hub height before the entire wake), and 15 (unit layout). For general plain terrain, the error in wake loss of each complete machine manufacturer is very small, so factor 20 (wake loss) is basically the same. This wake loss can indirectly explain that factor 15 (unit layout) has little impact on the difference in estimated power generation indicators, and factors 20 and 15 can be excluded. If factor 20 (wake loss) is different, given that the wind speed basically decays according to the law that the wind speed decreases by 0.1m / s for every 3% wake loss, the difference between factor 19 (wind speed at hub height before the entire wake) and factor 20 (wind speed at hub height after the entire wake) can be reversed according to this attenuation law. If it conforms to this attenuation law, factors 20, 19, and 15 are excluded. If it does not conform to the law, it is judged that factors 20, 19, and 15 are abnormal.

[0099] Second, after excluding factors 20, 19, and 15, continue to check factors 8 (hub height representative annual corrected wind speed), 7 (wind shear), 6 (representative annual corrected wind speed of the wind tower near the hub height), and 5 (representative annual correction). In general, the error between factor 8 (hub height representative annual corrected wind speed) and factor 19 (hub height wind speed before the entire field wake) is ≤0.1m / s. If it exceeds 0.1m / s, it is necessary to check whether the evaluation plan has performed the representative annual correction of the wind tower data. If the representative annual correction has not been performed, it will affect factor 8 (hub height representative annual corrected wind speed) because factor 8 is formed by factors 6 and 7. In general, the difference in factor 7 (wind shear) of each design plan will not be too large, so the difference in factor 6 (representative annual corrected wind speed of the wind tower near the hub height) is part of the factor causing the difference in the estimated power generation indicators. The whole machine manufacturer can correct the existing wind tower data according to the unified correction method and data source.

[0100] Third, after excluding factors 8, 7, 6, and 5, we continued to check factors 4 (complete year), 3 (data interpolation), 2 (integrity rate of wind tower data), and 1 (number of wind towers). Differences in these factors mostly exist in complex terrain. If there are differences, we will further determine the reasons for the differences.

[0101] If, after the above analysis, it is considered that there are no abnormalities in the unit power curve and the simulated average wind speed, it means that the estimated power generation indicators are accurate and reliable, and are sufficient to accurately reflect the power generation capacity of each design scheme.

[0102] In addition, before the whole machine manufacturers perform simulation calculations and designs, each whole machine manufacturer can calculate the estimated power generation indicators according to the unified evaluation time, method, and number of wind measurement towers, which can reduce the difficulty of subsequent analysis of the differences in the estimated power generation indicators.

[0103] Based on the difference evaluation method of the wind farm estimated power generation index of the embodiment of the present disclosure, the estimated power generation index of different design schemes can be quickly, objectively and quantitatively compared in the wind farm design stage, and the influencing factors causing the difference in the estimated power generation index can be effectively evaluated, the root cause of the difference can be found, and the accuracy of the estimated power generation index of each design scheme can be effectively judged. For the whole machine manufacturer, the difference of each estimated power generation index can be found through this method, so as to improve its own wind tower data processing method, optimize software simulation model and unit arrangement scheme, etc., which is conducive to improving its R&D or construction capabilities. From the perspective of the entire industry, it is conducive to improving the efficiency of wind energy utilization.

[0104] Figure 3 is a block diagram showing a device for evaluating differences in estimated power generation indicators of a wind farm according to an embodiment of the present disclosure.

[0105] Reference Figure 3The device 300 for evaluating the difference of estimated power generation indicators of a wind farm includes an acquisition unit 301 , a conversion unit 302 , a contribution unit 303 , a determination unit 304 , and an output unit 305 .

[0106] The acquisition unit 301 may acquire the specified average wind speed and the unit power curves of the target wind farm under multiple design schemes.

[0107] The conversion unit 302 can determine the standard power generation index of each design scheme according to the specified average wind speed and the unit power curve of each design scheme, wherein the standard power generation index is used to represent the amount of electricity generated by the target wind farm operating according to the unit power curve of the corresponding design scheme at the specified average wind speed.

[0108] Optionally, the estimated power generation index and the standard power generation index both include at least one of the following: annual grid-connected power, equivalent utilization hours, and capacity factor.

[0109] Optionally, the estimated power generation indicators of multiple design schemes are obtained by reducing the pre-reduction power generation indicators of multiple design schemes based on a specified reduction coefficient; the conversion unit 302 can also determine the standard power generation indicator of each design scheme based on the specified reduction coefficient, the specified average wind speed and the unit power curve of each design scheme.

[0110] The contribution unit 303 may determine the power curve contribution indices of the multiple design schemes according to the differences between the standard power generation indices of the multiple design schemes.

[0111] The determination unit 304 can determine whether the unit power curve has a significant impact on the difference between the estimated power generation indicators of multiple design schemes based on the power curve contribution indicators of multiple design schemes and the preset power curve contribution threshold, wherein the estimated power generation indicator is used to represent the amount of electricity generated by the target wind farm when operating according to the unit power curve of the corresponding design scheme at the simulated average wind speed of the corresponding design scheme.

[0112] When it is determined that the unit power curve has a significant impact on the difference between the estimated power generation indicators of multiple design schemes, the output unit 305 can output a first prompt message to prompt an abnormal judgment on the unit power curve of at least one of the multiple design schemes.

[0113] Optionally, the acquisition unit 301 may also determine a design scheme from multiple design schemes as a benchmark scheme, and use other design schemes except the benchmark scheme among the multiple design schemes as evaluation schemes; and use the simulated average wind speed of the benchmark scheme as the specified average wind speed.

[0114] Optionally, the contribution unit 303 may also determine a deviation rate of the standard power generation index of each evaluation scheme relative to the standard power generation index of the reference scheme as a power curve contribution index of each evaluation scheme.

[0115] Optionally, the first prompt information is used to prompt an abnormality judgment on an element in the unit power curve of the corresponding evaluation scheme, wherein the element in the unit power curve includes at least one of the following: power coefficient, wind speed range power value.

[0116] Optionally, the output unit 305 may also: when it is determined that the power coefficient of the evaluation scheme corresponding to the first prompt information is greater than or equal to a preset power coefficient threshold, output a first abnormal prompt information to prompt that the power coefficient of the corresponding evaluation scheme is abnormally large; and / or when it is determined that the power value of the evaluation scheme corresponding to the first prompt information in the specified wind speed segment is higher than a set proportion relative to the power value of the benchmark scheme in the specified wind speed segment, output a second abnormal prompt information to prompt that the power value of the corresponding evaluation scheme in the specified wind speed segment is abnormally large.

[0117] Optionally, the device 300 for evaluating the difference in estimated power generation indicators of a wind farm further includes a wind speed unit (not shown in the figure), which can determine multiple wind speeds near a specified average wind speed according to a specified wind speed interval to obtain multiple additional average wind speeds; the conversion unit 302 can also determine the additional power generation indicator of each design scheme at each additional average wind speed based on the multiple additional average wind speeds and the unit power curve of each design scheme, wherein the additional power generation indicator is used to represent the amount of electricity produced by the target wind farm when operating according to the unit power curve of the corresponding design scheme at the corresponding additional average wind speed; the device 300 for evaluating the difference in estimated power generation indicators of a wind farm further includes a statistical unit (not shown in the figure), which can perform statistical processing on the difference between the additional power generation indicators corresponding to two adjacent additional average wind speeds for each design scheme to obtain a wind speed sensitive indicator, wherein the wind speed sensitive indicator is used to represent the change in the amount of electricity produced by the target wind farm when operating according to the corresponding design scheme when the average wind speed changes by a specified wind speed interval.

[0118] Optionally, the output unit 305 may also output a second prompt message to prompt an abnormal judgment on the simulated average wind speed of at least one of the multiple design schemes when it is determined that the unit power curve does not have a significant impact on the difference between the estimated power generation indicators of multiple design schemes, or when it is judged that there is no abnormality in the unit power curve of at least one design scheme.

[0119] Regarding the device in the above embodiment, the specific manner in which each unit performs the operation has been described in detail in the embodiment of the method, and will not be elaborated here.

[0120] According to the embodiment of the present disclosure, the difference evaluation method of the estimated power generation index of the wind farm can be written as a computer program and stored on a computer-readable storage medium. When the instructions corresponding to the computer program are executed by the processor, the difference evaluation method of the estimated power generation index of the wind farm as described above can be implemented. Examples of computer-readable storage media include: read-only memory (ROM), random access programmable read-only memory (PROM), electrically erasable programmable read-only memory (EEPROM), random access memory (RAM), dynamic random access memory (DRAM), static random access memory (SRAM), flash memory, non-volatile memory, CD-ROM, CD-R, CD+R, CD-RW, CD+RW, DVD-ROM, DVD-R, DVD+R, DVD-RW, DVD+RW, DVD-RAM, BD-ROM, BD-R, BD-R LTH, BD-RE, Blu-ray or optical disk storage, hard disk drive (HDD), solid state drive (SSD), card storage (such as, multimedia card, secure digital (SD) card or extreme digital (XD) card), magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid state disk and any other device, any other device is configured to store computer program and any associated data, data files and data structures in a non-transitory manner and provide the computer program and any associated data, data files and data structures to a processor or computer so that the processor or computer can execute the computer program. In one example, the computer program and any associated data, data files and data structures are distributed on a networked computer system so that the computer program and any associated data, data files and data structures are stored, accessed and executed in a distributed manner by one or more processors or computers.

[0121] Figure 4 is a block diagram illustrating a computer device according to an embodiment of the present disclosure.

[0122] Reference Figure 4 The computer device 400 includes at least one memory 401 and at least one processor 402, wherein the at least one memory 401 stores a set of computer executable instructions. When the computer executable instruction set is executed by the at least one processor 402, a method for evaluating the difference of estimated power generation indicators of a wind farm according to an exemplary embodiment of the present disclosure is executed.

[0123] As an example, the computer device 400 may be a PC, a tablet device, a personal digital assistant, a smart phone, or other device capable of executing the above-mentioned instruction set. Here, the computer device 400 is not necessarily a single electronic device, but may also be any device or circuit collection capable of executing the above-mentioned instructions (or instruction sets) individually or in combination. The computer device 400 may also be part of an integrated control system or a system manager, or may be configured as a portable electronic device interconnected with a local or remote (e.g., via wireless transmission) interface.

[0124] In computer device 400, processor 402 may include a central processing unit (CPU), a graphics processing unit (GPU), a programmable logic device, a dedicated processor system, a microcontroller, or a microprocessor. By way of example and not limitation, the processor may also include an analog processor, a digital processor, a microprocessor, a multi-core processor, a processor array, a network processor, etc.

[0125] The processor 402 may execute instructions or codes stored in the memory 401, which may also store data. Instructions and data may also be sent and received over a network via a network interface device, which may employ any known transmission protocol.

[0126] The memory 401 may be integrated with the processor 402, for example, by placing RAM or flash memory within an integrated circuit microprocessor or the like. In addition, the memory 401 may include a separate device, such as an external disk drive, a storage array, or any other storage device that can be used by a database system. The memory 401 and the processor 402 may be operatively coupled, or may communicate with each other, such as through an I / O port, a network connection, etc., so that the processor 402 can read files stored in the memory.

[0127] In addition, the computer device 400 may also include a video display (such as a liquid crystal display) and a user interaction interface (such as a keyboard, a mouse, a touch input device, etc.) All components of the computer device 400 may be connected to each other via a bus and / or a network.

[0128] The present disclosure provides a method, device and storage medium for evaluating the difference of estimated power generation indicators of a wind farm. The method quantitatively analyzes the difference of estimated power generation indicators of various design schemes due to unit power curves based on a specified average wind speed to obtain a power curve contribution index. The method can objectively and intuitively reflect whether the unit power curve has a significant impact on the estimated power generation indicators of different design schemes. When it is determined that a significant impact has occurred, the method prompts an abnormal judgment on the unit power curve of at least one design scheme, which is convenient for analyzing whether the unit power curve of the design scheme has an abnormality, thereby understanding the accuracy of the estimated power generation indicators of the corresponding design scheme, helping to objectively analyze the actual power generation capacity differences of different design schemes, and helping the whole machine manufacturer to redesign the selection and arrangement of the unit according to more accurate estimated power generation indicators to improve its research and development or construction capabilities.

[0129] In addition, the embodiments of the present disclosure can also determine a wind speed sensitivity index. Since the wind speed sensitivity index can reflect the quality of the unit power curve, it can also provide a reference for the whole machine manufacturers to optimize their own units, which helps to improve their research and development capabilities. From the perspective of the entire industry, it is beneficial to improve the efficiency of wind energy utilization.

[0130] The specific implementation methods of the present disclosure have been described in detail above. Although some embodiments have been shown and described, those skilled in the art should understand that these embodiments may be modified and varied without departing from the principles and spirit of the present disclosure, the scope of which is defined by the claims and their equivalents. These modifications and variations should also be within the scope of protection of the claims of the present disclosure.

Claims

1. A method for evaluating the difference of wind farm power generation indicators, characterized in that: The method comprises: Obtain unit power curves under multiple design schemes for a specified average wind speed and target wind farm; Determine a standard power generation index for each design scheme according to the specified average wind speed and the unit power curve of each design scheme, wherein the standard power generation index is used to represent the amount of electricity generated by the target wind farm operating according to the unit power curve of the corresponding design scheme at the specified average wind speed; Determining power curve contribution indicators of the multiple design solutions according to differences between the standard power generation indicators of the multiple design solutions; Determining whether the unit power curve has a significant impact on the difference between the estimated power generation indicators of the multiple design schemes according to the power curve contribution indicators of the multiple design schemes and the preset power curve contribution threshold, wherein the estimated power generation indicator is used to represent the amount of electricity generated by the target wind farm when operating according to the unit power curve of the corresponding design scheme at the simulated average wind speed of the corresponding design scheme; When it is determined that the unit power curve has a significant impact on the difference between the estimated power generation indicators of the multiple design schemes, a first prompt information is output to prompt an abnormal judgment on the unit power curve of at least one of the multiple design schemes.

2. The method according to claim 1, characterized in that The obtaining of the specified average wind speed comprises: Determine a design scheme from the multiple design schemes as a benchmark scheme, and use other design schemes from the multiple design schemes except the benchmark scheme as evaluation schemes; The simulated average wind speed of the benchmark solution is used as the designated average wind speed.

3. The method according to claim 2, characterized in that Determining the power curve contribution indicators of the multiple design solutions according to the differences between the standard power generation indicators of the multiple design solutions includes: The deviation rate of the standard power generation index of each evaluation scheme relative to the standard power generation index of the benchmark scheme is determined as the power curve contribution index of each evaluation scheme.

4. The method according to claim 2, characterized in that The first prompt information is used to prompt an abnormality judgment on an element in the unit power curve of the corresponding evaluation scheme, wherein the element in the unit power curve includes at least one of the following: power coefficient, wind speed range power value.

5. The method according to claim 4, characterized in that The method further comprises: When it is determined that the power coefficient of the evaluation scheme corresponding to the first prompt information is greater than or equal to a preset power coefficient threshold, outputting a first abnormal prompt information to prompt that the power coefficient of the corresponding evaluation scheme is abnormally large; and / or When it is determined that the power value of the evaluation scheme corresponding to the first prompt information in the specified wind speed range is higher than the power value of the benchmark scheme in the specified wind speed range by a set proportion, a second abnormal prompt information is output to prompt that the power value of the corresponding evaluation scheme in the specified wind speed range is abnormally large.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: According to the specified wind speed interval, a plurality of wind speeds are determined near the specified average wind speed to obtain a plurality of additional average wind speeds; Determine, according to the multiple additional average wind speeds and the unit power curve of each design scheme, an additional power generation index of each design scheme at each additional average wind speed, wherein the additional power generation index is used to represent the amount of electricity generated by the target wind farm when operating according to the unit power curve of the corresponding design scheme at the corresponding additional average wind speed; For each design scheme, the difference between the additional power generation indicators corresponding to two adjacent additional average wind speeds is statistically processed to obtain a wind speed sensitive index, wherein the wind speed sensitive index is used to indicate the change in the amount of electricity produced by the target wind farm when operating according to the corresponding design scheme when the average wind speed changes by the specified wind speed interval.

7. The method according to any one of claims 1 to 5, characterized in that The method further comprises: When it is determined that the unit power curve does not have a significant impact on the difference between the estimated power generation indicators of the multiple design schemes, or when it is determined that there is no abnormality in the unit power curve of at least one design scheme, a second prompt message is output to prompt an abnormal judgment on the simulated average wind speed of at least one of the multiple design schemes.

8. The method according to any one of claims 1 to 5, characterized in that The estimated power generation indicators of the multiple design schemes are obtained by reducing the pre-reduction power generation indicators of the multiple design schemes based on a specified reduction coefficient; Wherein, determining the standard power generation index of each design scheme according to the specified average wind speed and the unit power curve of each design scheme includes: The standard power generation index of each design scheme is determined according to the specified reduction factor, the specified average wind speed and the unit power curve of each design scheme.

9. The method according to any one of claims 1 to 5, characterized in that The estimated power generation index and the standard power generation index both include at least one of the following: annual grid-connected power, equivalent utilization hours, and capacity factor.

10. A device for evaluating the difference of wind farm power generation indicators, characterized in that: The device comprises: An acquisition unit is configured to acquire a specified average wind speed and a unit power curve of a target wind farm under multiple design schemes; a conversion unit configured to determine a standard power generation index for each design scheme according to the specified average wind speed and the unit power curve of each design scheme, wherein the standard power generation index is used to represent the amount of electricity generated by the target wind farm operating according to the unit power curve of the corresponding design scheme at the specified average wind speed; a contribution unit configured to determine power curve contribution indicators of the multiple design solutions according to differences between the standard power generation indicators of the multiple design solutions; a determination unit configured to determine whether the unit power curve has a significant impact on the difference between the estimated power generation indicators of the multiple design schemes according to the power curve contribution indicators of the multiple design schemes and a preset power curve contribution threshold, wherein the estimated power generation indicator is used to represent the amount of electricity generated by the target wind farm when operating according to the unit power curve of the corresponding design scheme at the simulated average wind speed of the corresponding design scheme; The output unit is configured to output a first prompt message to prompt an abnormal judgment on the unit power curve of at least one of the multiple design schemes when it is determined that the unit power curve has a significant impact on the difference between the estimated power generation indicators of the multiple design schemes.

11. A computer-readable storage medium, characterized in that: When the instructions in the computer-readable storage medium are executed by at least one processor, the at least one processor is prompted to execute the method for evaluating the difference of the estimated power generation index of a wind farm according to any one of claims 1 to 9.

12. A computer device, characterized in that: include: at least one processor; at least one memory storing computer executable instructions, When the computer executable instructions are executed by the at least one processor, the at least one processor is prompted to execute the method for evaluating the difference of the estimated power generation index of a wind farm according to any one of claims 1 to 9.

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