Characteristic parameter determination method and apparatus, controller, medium, and product

Abstract

The application discloses a feature parameter determination method and device, a controller, a medium and a product. The method comprises: acquiring multiple groups of feature parameters; wherein each group of feature parameters comprises: a recurrence period, an extreme coherent gust duration, a wind speed amplitude of an extreme coherent gust in the extreme coherent gust duration within the recurrence period, and a wind direction amplitude of the extreme coherent gust in the extreme coherent gust duration within the recurrence period; based on wind speed information at a wind turbine hub corresponding to each extreme coherent gust duration, obtaining an extreme coherent gust energy factor corresponding to each extreme coherent gust duration; selecting a first target extreme coherent gust energy factor meeting a first preset condition from each extreme coherent gust energy factor; and determining at least one group of feature parameters corresponding to the first target extreme coherent gust energy factor as target feature parameters affecting wind turbine load. The feature parameters that can affect the wind turbine load are accurately selected.

Description

Technical Field

[0001] This application relates to the field of wind power generation technology, specifically to a method, apparatus, controller, medium, and product for determining characteristic parameters. Background Technology

[0002] Coherent gusts are gusts whose wind speed and direction change monotonically over a certain period of time. Extreme coherent gusts are extreme cases of coherent gusts occurring within a specific return period. Because extreme coherent gusts are characterized by large changes in wind direction, rapid changes in wind speed, and uncertain duration, they are considered as load design conditions in the IEC 61400-1:2019, GL IV-1-4:2010, and EC 61400-3:2019 standards. Therefore, the impact of extreme coherent gusts on the load of wind turbine generator sets is crucial in their design.

[0003] Currently, after obtaining the characteristic parameters from the assessment of extreme coherent gusts, these parameters can be used in wind turbine load assessment to determine the characteristic parameters affecting the unit load. However, there is still no solution on how to select the characteristic parameters that affect the unit load. Summary of the Invention

[0004] The purpose of this application is to provide a method, apparatus, controller, medium, and product for determining characteristic parameters, so as to accurately select characteristic parameters that can affect wind turbine load.

[0005] The technical solution of this application is as follows:

[0006] Firstly, a method for determining feature parameters is provided, the method comprising:

[0007] Multiple sets of feature parameters are obtained; wherein each set of feature parameters includes: return period, duration of extreme coherent gust, wind speed amplitude of extreme coherent gust during the duration of extreme coherent gust within the return period, and wind direction amplitude of extreme coherent gust during the duration of extreme coherent gust within the return period.

[0008] Based on the wind speed information at the wind turbine hub corresponding to the duration of each extreme coherent gust, the gust energy factor corresponding to each extreme coherent gust duration is obtained.

[0009] Select a first target gust energy factor that meets the first preset condition from all the gust energy factors;

[0010] At least one set of characteristic parameters corresponding to the first target gust energy factor are determined as target characteristic parameters affecting the load of the wind turbine.

[0011] Secondly, a feature parameter determining apparatus is provided, the apparatus comprising:

[0012] The first acquisition module is used to acquire multiple sets of feature parameters; wherein each set of feature parameters includes: return period, duration of extreme coherent gust, wind speed amplitude of extreme coherent gust during the duration of extreme coherent gust within the return period, and wind direction amplitude of extreme coherent gust during the duration of extreme coherent gust within the return period.

[0013] The first determining module is used to obtain the gust energy factor corresponding to each extreme coherent gust duration based on the wind speed information at the wind turbine hub corresponding to each extreme coherent gust duration.

[0014] The selection module is used to select a first target gust energy factor that meets the first preset condition from the gust energy factors.

[0015] The second determining module is used to determine at least one set of characteristic parameters corresponding to the first target gust energy factor as target characteristic parameters.

[0016] Thirdly, embodiments of this application provide an electronic device, which includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor. When the program or instructions are executed by the processor, they implement the steps of the feature parameter determination method described in any of the embodiments of this application.

[0017] Fourthly, embodiments of this application provide a readable storage medium storing a program or instructions, which, when executed by a processor, implement the steps of the feature parameter determination method described in any of the embodiments of this application.

[0018] Fifthly, embodiments of this application provide a computer program product, wherein the instructions in the computer program product, when executed by a processor of an electronic device, enable the electronic device to perform the steps of any of the feature parameter determination methods described in embodiments of this application.

[0019] The technical solutions provided by the embodiments of this application bring at least the following beneficial effects:

[0020] In the embodiments provided in this application, multiple sets of characteristic parameters are obtained; each set of characteristic parameters includes: return period, duration of extreme coherent gusts, wind speed amplitude of extreme coherent gusts within the return period and duration of extreme coherent gusts, and wind direction amplitude of extreme coherent gusts within the return period and duration of extreme coherent gusts. Based on the wind speed information at the hub of the wind turbine corresponding to each duration of extreme coherent gusts, a gust energy factor corresponding to each duration of extreme coherent gusts is obtained. A first target gust energy factor that meets the first preset condition is selected from each gust energy factor, and at least one set of characteristic parameters corresponding to the first target gust energy factor is determined as the target characteristic parameter. In this way, by setting the gust energy factor, the characteristic parameters affecting the wind turbine load can be accurately determined.

[0021] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0022] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application, and do not constitute an undue limitation of this application.

[0023] Figure 1 This is a schematic diagram illustrating an extreme coherent gust of wind situation involved in an embodiment of this application;

[0024] Figure 2 This is one of the flowcharts illustrating a method for determining feature parameters provided in the first aspect of this application;

[0025] Figure 3 This is a schematic diagram illustrating the determination of the first target gust energy factor according to the first aspect of the embodiment of this application;

[0026] Figure 4 This is one of the schematic diagrams illustrating the process of determining feature parameters involved in the first aspect of this application;

[0027] Figure 5 This is a second schematic diagram of the process for determining the feature parameters involved in the first aspect of the present application;

[0028] Figure 6 This is a second schematic flowchart of a method for determining feature parameters provided in the first aspect of this application;

[0029] Figure 7 This is a schematic diagram of the structure of a feature parameter determination device provided in the second aspect embodiment of this application;

[0030] Figure 8 This is a schematic diagram of the structure of an electronic device provided in the third aspect of this application. Detailed Implementation

[0031] To enable those skilled in the art to better understand the technical solutions of this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely intended to explain this application and not to limit it. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is merely to provide a better understanding of this application by illustrating examples.

[0032] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples consistent with some aspects of this application as detailed in the appended claims.

[0033] Coherent gusts are gusts whose speed and direction change monotonically over a certain period of time. Extreme coherent gusts are extreme cases of coherent gusts that occur within a specific return period. See [link to relevant documentation]. Figure 1 As shown.

[0034] As described in the background section, there is currently no solution in the prior art for selecting characteristic parameters that affect the load of the wind turbine. To address this issue, this application provides a method, device, controller, medium, and product for determining characteristic parameters. This involves acquiring multiple sets of characteristic parameters, each set including: return period, duration of extreme coherent gusts, wind speed amplitude of extreme coherent gusts within the return period and duration of extreme coherent gusts, and wind direction amplitude of extreme coherent gusts within the return period and duration of extreme coherent gusts. Based on the wind speed information at the wind turbine hub corresponding to each duration of extreme coherent gusts, a gust energy factor corresponding to each duration of extreme coherent gusts is obtained. A first target gust energy factor that meets a first preset condition is selected from these gust energy factors. At least one set of characteristic parameters corresponding to the first target gust energy factor is determined as the target characteristic parameters. Thus, by setting the gust energy factor, the characteristic parameters affecting the wind turbine load can be accurately determined.

[0035] The method for determining feature parameters provided in this application will be described in detail below with reference to the accompanying drawings, through specific embodiments and application scenarios.

[0036] Figure 2This is a flowchart illustrating a method for determining feature parameters provided in an embodiment of this application.

[0037] like Figure 2 As shown, the feature parameter determination method provided in this application embodiment may include steps 210-240.

[0038] Step 210: Obtain multiple sets of characteristic parameters; wherein each set of characteristic parameters includes: return period, duration of extreme coherent gusts, wind speed amplitude of extreme coherent gusts within the duration of extreme coherent gusts within the return period, and wind direction amplitude of extreme coherent gusts within the duration of extreme coherent gusts within the return period.

[0039] In some embodiments of this application, multiple sets of feature parameters may have been obtained in advance and stored in storage space, and can be directly retrieved when needed.

[0040] In some embodiments of this application, how to obtain multiple sets of feature parameters will be described in detail in later embodiments.

[0041] Step 220: Based on the wind speed information at the wind turbine hub corresponding to the duration of each extreme coherent gust, obtain the gust energy factor corresponding to the duration of each extreme coherent gust.

[0042] Among them, the gust energy factor can be a pre-set parameter used to assess the intensity of extreme coherent gusts.

[0043] In some embodiments of this application, in order to accurately obtain the gust energy factor corresponding to the duration of each extreme coherent gust, the aforementioned characteristic parameter determination method may further include, before step 220:

[0044] For each extreme coherent gust duration, wind speed information at the wind turbine hub corresponding to the extreme coherent gust duration is obtained from the wind turbine design standards.

[0045] Step 220 may specifically include:

[0046] For each extreme coherent gust duration, perform the following steps to obtain the gust energy factor corresponding to each extreme coherent gust duration:

[0047] Based on the wind speed information at the wind turbine hub corresponding to the duration of extreme coherent gusts, and the correspondence between the wind speed information and the gust energy factor, the gust energy factor corresponding to the duration of extreme coherent gusts is obtained.

[0048] The design standards for wind turbines can be national standards, such as IEC61400-1:2019, GL IV-1-4:2010, and EC61400-3:2019. These design standards contain the correspondence between the duration of extreme coherent gusts and the wind speed information at the wind turbine hub.

[0049] In some embodiments of this application, wind speed information at the hub of the wind turbine corresponding to the duration of extreme coherent gusts can be obtained from the wind turbine design standard. Then, for each duration of extreme coherent gusts, the gust energy factor corresponding to each duration of extreme coherent gusts can be obtained based on the wind speed information at the hub of the wind turbine corresponding to the duration of extreme coherent gusts and the correspondence between the wind speed information and the gust energy factor.

[0050] In some embodiments of this application, the correspondence between wind speed information and gust energy factor can be specifically represented by the following formula (1):

[0051]

[0052] Among them, GEF(V cg (t i ),D cg (t i ),t i ,ρ) represents the gust energy factor; t i V represents the duration of extreme coherent gusts, where i is a positive integer; hub This represents the wind speed at the wind turbine hub; ρ is the air density; V cg (t i The recurrence period is T, and the duration of extreme coherent gusts is t. i At that time, the wind speed amplitude of the extreme coherent gust; D cg (t i The recurrence period is T, and the duration of extreme coherent gusts is t. i At that time, the wind direction amplitude of extreme coherent gusts.

[0053] In some embodiments of this application, the corresponding V is determined according to certain requirements in the wind turbine design standards. hub Substituting these values ​​into the GEF expression, we can obtain the GEF values ​​for different durations t of extreme coherent gusts under this sub-condition, thus obtaining the gust energy factor for each extreme coherent gust duration.

[0054] In the embodiments of this application, for each extreme coherent gust duration, the wind speed information at the hub of the wind turbine corresponding to the extreme coherent gust duration is obtained from the wind turbine design standard. Then, for each extreme coherent gust duration, the gust energy factor corresponding to each extreme coherent gust duration can be obtained based on the wind speed information at the hub of the wind turbine corresponding to the extreme coherent gust duration and the correspondence between the wind speed information and the gust energy factor. In this way, the gust energy factor corresponding to each extreme coherent gust duration can be accurately determined.

[0055] Step 230: Select the first target gust energy factor that meets the first preset condition from all gust energy factors.

[0056] The first preset condition can be a pre-set screening condition for selecting the required gust energy factors from each gust energy factor.

[0057] The first target gust energy factor can be a gust energy factor that meets the first preset condition selected from various gust energy factors.

[0058] In some embodiments of this application, to accurately select the first target gust energy factor, step 230 may specifically include:

[0059] The energy factors of each gust are sorted from largest to smallest to obtain the first sequence;

[0060] Obtain the second target gust energy factor that meets the second preset condition;

[0061] Based on the second target gust energy factor, the first target gust energy factor that meets the first preset condition is selected from all gust energy factors.

[0062] The second preset condition can be a pre-set screening condition for selecting gust energy factors from the first sequence. Specifically, the second preset condition can be the first gust energy factor in the first sequence that satisfies the condition that the wind speed amplitude of the extreme coherent gust during its duration is greater than the wind speed information corresponding to the duration of the extreme coherent gust.

[0063] The second target gust energy factor can be a gust energy factor that meets the second preset condition selected from all gust energy factors.

[0064] In other words, sort the GEF values ​​from largest to smallest and find the first one that satisfies V. cg (t i )>V hub GEF(V) cg (t i ),D cg (t i ),ti ,ρ). This gust energy factor is the second target gust energy factor.

[0065] Then, based on the second target gust energy factor, the first target gust energy factor that meets the first preset condition is selected from all gust energy factors.

[0066] In the embodiments of this application, by sorting the gust energy factors from largest to smallest to obtain a first sequence, then obtaining a second target gust energy factor that meets a second preset condition, and based on the second target gust energy factor, selecting a first target gust energy factor that meets the first preset condition from the gust energy factors, thus accurately obtaining the first target gust energy factor.

[0067] In some embodiments of this application, in order to further accurately obtain the first target gust energy factor, the step of selecting the first target gust energy factor that meets the first preset condition from the various gust energy factors based on the second target gust energy factor may specifically include:

[0068] Based on the second target gust energy factor, a first target gust energy factor that is greater than or equal to the second target gust energy factor is selected from all gust energy factors.

[0069] In some embodiments of this application, after determining the second target gust energy factor, all gust energy factors that satisfy GEF ≥ GEF(V) can be selected from all gust energy factors. cg (t i ),D cg (t i ),t i The parameters Vcg(t) and Dcg(t) of the extreme coherent gust wind are used to perform secondary screening of the characteristic parameters Vcg(t) and Dcg(t), such as ρ). Figure 3 As shown.

[0070] In the embodiments of this application, a first target gust energy factor that is greater than or equal to the second target gust energy factor is selected from each gust energy factor based on the second target gust energy factor, thereby accurately determining the first target gust energy factor.

[0071] Step 240: Determine at least one set of characteristic parameters corresponding to the first target gust energy factor as the target characteristic parameters affecting the load of the wind turbine.

[0072] Among them, the target characteristic parameters can be the finally determined characteristic parameters that affect the load of the wind turbine.

[0073] In some embodiments of this application, specifically, at least one set of characteristic parameters corresponding to the first target gust energy factor may be determined as the target characteristic parameters affecting the load of the wind turbine.

[0074] In one example, there are three sets of characteristic parameters: The first set: the duration of the extreme coherent gust is t1, the wind speed amplitude is V1, and the wind direction amplitude is D1; ​​the second set: the duration of the extreme coherent gust is t2, the wind speed amplitude is V2, and the wind direction amplitude is D2; the third set: the duration of the extreme coherent gust is t3, the wind speed amplitude is V3, and the wind direction amplitude is D3. Based on the duration of the extreme coherent gust, the gust energy factor corresponding to each set of extreme coherent gust durations is obtained. From each set of gust energy factors, the first target gust energy factor that meets the first preset condition is selected (e.g., the gust energy factor corresponding to the first and second sets). Then, the return period, the duration of the extreme coherent gust, and the wind speed amplitude and wind direction amplitude within the duration of the extreme coherent gust are used as target characteristic parameters.

[0075] In some embodiments of this application, for the safety of the wind turbine, after step 240, the method for determining the aforementioned characteristic parameters may further include:

[0076] For each set of target feature parameters, update the wind speed amplitude and wind direction amplitude in the wind turbine design standard based on the wind speed amplitude and wind direction amplitude in the target feature parameters respectively;

[0077] The wind turbine load was simulated and calculated based on the updated wind speed amplitude and wind direction amplitude to obtain the duration of the target extreme coherent gust.

[0078] The wind turbine load during the duration of the target extreme coherent gust is defined as the target load.

[0079] The extreme coherent gust duration can be obtained by updating the wind speed amplitude and wind direction amplitude in the wind turbine design standard using the wind speed amplitude and wind direction amplitude in the target characteristic parameters, and then using the updated wind speed amplitude and wind direction amplitude to perform wind turbine load simulation calculations.

[0080] The target load can be the wind turbine load under the target extreme coherent gust duration. This target load can be used to characterize the wind turbine unit under the target load.

[0081] In some embodiments of this application, in accordance with the load design conditions requirements in the wind turbine design standards, under the DLC14 condition (DLC14 is the name of the load design condition under extreme coherent gusts in the wind turbine design standard IEC61400-1:2019; since the name of this condition is inconsistent in different design standards, in this application, the DLC14 condition can be used as an example to refer to the load design condition under extreme coherent gusts), Vcg = Vcg(t') and Dcg = Dcg(t') (that is, the wind speed amplitude Vcg and wind direction amplitude Dcg in the wind turbine design standards are updated respectively using the wind speed amplitude Vcg(t') and wind direction amplitude Dcg(t') in the target characteristic parameters), and wind turbine load simulation calculations are performed. Then, the envelope of the load results for the DLC14 condition is taken to obtain the corresponding extreme coherent gust duration t, thus realizing the evaluation of the extreme coherent gust duration t. The load at this time is the most dangerous load of the wind turbine under the action of extreme coherent gust, which can be used for wind turbine load evaluation.

[0082] In the embodiments of this application, for each set of target characteristic parameters, the wind speed amplitude and wind direction amplitude in the wind turbine design standard are updated based on the wind speed amplitude and wind direction amplitude in the target characteristic parameters. The wind turbine load simulation calculation is performed on the updated wind speed amplitude and wind direction amplitude to obtain the target extreme coherent gust duration. The wind turbine load under the target extreme coherent gust duration is determined as the target load. In this way, based on the extreme coherent gust characteristic parameters Vcg(t') and Dcg(t') after secondary screening, the DLC14 condition in the wind turbine load assessment is revised. Then, the wind turbine load calculation result of the revised DLC14 condition is used as the judgment basis to realize the assessment of the extreme coherent gust duration t of a specific wind farm. This is conducive to the promotion and application of the extreme coherent characteristic parameters Vcg(t) and Dcg(t) in the wind turbine load assessment process.

[0083] In some embodiments of this application, Vcg(t) is used to characterize the set of all extreme coherent gust wind speed amplitudes for different durations, and Dcg(t) is used to characterize the set of all extreme coherent gust wind direction amplitudes for different durations. Vcg(t') is used to characterize the wind speed amplitude used for wind turbine load assessment after secondary screening; Dcg(t') is used for wind direction amplitude used for wind turbine load assessment after secondary screening.

[0084] In some embodiments of this application, in order to further accurately determine the characteristic parameters affecting the wind turbine load, reference is made to... Figure 4 Step 210 may specifically include steps 2101-2105:

[0085] Step 2101: Obtain historical characteristic parameters of the wind farm within a preset historical time period; wherein, the historical characteristic parameters include: historical wind speed amplitude and historical wind direction amplitude.

[0086] The historical preset time period can be a period of time in the past of the wind farm.

[0087] Historical characteristic parameters can be relevant characteristic parameters within a preset historical time period of the wind farm, specifically including: historical wind speed amplitude and historical wind direction amplitude.

[0088] Step 2102: Based on the sampling period of historical characteristic parameters, obtain the duration of extreme coherent gusts.

[0089] In some embodiments of this application, the duration of extreme coherent gusts can be obtained according to the following formula (2):

[0090] t0=n×Δt (2)

[0091] Where t0 is the duration of extreme coherent gusts, n is a natural number, n = 1, 2, 3, ..., Δt = 1 / f, f is the sampling frequency, f can be greater than or equal to 1 Hz.

[0092] Step 2103: Fit the historical wind speed amplitude over the duration of extreme coherent gusts to obtain the first correspondence between time and wind speed amplitude.

[0093] The first correspondence can be used to characterize the correspondence between time and wind speed amplitude.

[0094] In some embodiments of this application, the historical wind speed amplitude within the duration of extreme coherent gusts can be fitted using the Gumbel extreme value distribution algorithm to obtain a first correspondence characterizing the relationship between time and wind speed amplitude. This first correspondence can be the Gumbel distribution function F(x) = exp(-exp(-α(x-β)). Here, α and β are two parameters in the Gumbel distribution function.

[0095] Step 2104: Fit the historical wind speed amplitude and historical wind direction amplitude during the duration of extreme coherent gusts to obtain the second correspondence between the wind speed amplitude and the wind direction amplitude.

[0096] The second correspondence can be used to characterize the correspondence between wind speed amplitude and wind direction amplitude.

[0097] In some embodiments of this application, the parameters a and b of the wind speed and direction correlation function Dir can be obtained by fitting the historical wind speed amplitude and historical wind direction amplitude during the duration of extreme coherent gusts using the least squares method. The expression for the Dir function is Dcg = a * Vcg + b, where Dcg is the wind direction amplitude and Vcg is the wind speed amplitude.

[0098] Step 2105: Based on the first correspondence and the second correspondence, obtain multiple sets of feature parameters.

[0099] In the embodiments of this application, by obtaining the historical wind speed amplitude and historical wind direction amplitude measured by the wind farm within a preset historical time period, and fitting the historical wind speed amplitude within the duration of extreme coherent gusts, a first correspondence relationship can be obtained to characterize the wind speed amplitude and time. Furthermore, by fitting the historical wind speed amplitude and historical wind direction amplitude within the duration of extreme coherent gusts, a second correspondence relationship can be obtained to characterize the wind speed amplitude and wind direction amplitude. Thus, based on the first and second correspondence relationships, the wind speed amplitude and wind direction amplitude of extreme coherent gusts corresponding to the duration of extreme coherent gusts within any return period can be obtained. This is not limited to defining the characteristic parameters of all wind farms according to standards, thereby improving the accuracy of wind farm characteristic parameter evaluation.

[0100] In some embodiments of this application, in order to accurately determine the first correspondence, after step 2101, the method for determining the feature parameters mentioned above may further include:

[0101] Obtain the iteration parameters corresponding to the historical feature parameters; among which, the iteration parameters include: wind speed iteration parameters and wind direction iteration parameters;

[0102] Prior to step 2103, the aforementioned method for determining the characteristic parameters may further include:

[0103] Based on the wind speed iteration parameters and historical wind speed amplitude, the wind speed amplitude of the extreme coherent gusts at each iteration is determined.

[0104] Step 2103 may specifically include:

[0105] By fitting the wind speed amplitude for each iteration within the duration of extreme coherent gusts, a first correspondence between time and wind speed amplitude is obtained.

[0106] Among them, the wind speed iteration parameter can be the parameter for iterating the wind speed amplitude, specifically Δv≤0.1m / s.

[0107] The wind direction iteration parameter can be a parameter used to iterate the wind direction amplitude, where △d≤0.1deg.

[0108] In the embodiments of this application, the wind speed amplitude of the extreme coherent gust generated after each iteration can be determined by wind speed iteration parameters and wind speed amplitude. Then, the wind speed amplitude of each iteration within the duration of the extreme coherent gust is fitted to accurately obtain the first correspondence between time and wind speed amplitude.

[0109] In some embodiments of this application, in order to further accurately obtain the first correspondence, the step of determining the wind speed amplitude of the extreme coherent gust at each iteration based on the wind speed iteration parameters and wind speed amplitude may specifically include:

[0110] Based on the wind speed iteration parameters and wind speed amplitude, the wind speed amplitude of the extreme coherent gust at each iteration can be determined according to the following formula (3):

[0111] V cgi =V cg -(i-1)Δv (3)

[0112] Among them, V cg V represents the wind speed amplitude (i.e., the initial wind speed amplitude); Δv represents the wind speed iteration parameter; V cgi denoted as the wind speed amplitude of the extreme coherent gust at each iteration; i represents the iteration number, i = 1, 2, 3, ...

[0113] It should be noted that V here cgi It is greater than 0.

[0114] In the embodiments of this application, the wind speed amplitude of the extreme coherent gust in each iteration can be accurately determined by the above formula (3).

[0115] In some embodiments of this application, in order to accurately determine the second correspondence, after obtaining the iteration parameters corresponding to the feature parameters, the feature parameter determination method mentioned above may further include:

[0116] Based on the wind direction iteration parameters and historical wind direction amplitude, the wind direction amplitude of the extreme coherent gusts at each iteration is determined;

[0117] Step 2104 may specifically include:

[0118] By fitting the wind speed amplitude and wind direction amplitude of each iteration within the duration of extreme coherent gusts, a second correspondence between the wind speed amplitude and wind direction amplitude is obtained.

[0119] In some embodiments of this application, the wind direction amplitude of the extreme coherent gust at each iteration can be determined based on the wind direction iteration parameters and the wind direction amplitude. Then, the wind speed amplitude and the wind direction amplitude of each iteration during the duration of the extreme coherent gust are fitted to obtain a second correspondence between the wind speed amplitude and the wind direction amplitude.

[0120] It is understandable that each iteration of the wind speed amplitude corresponds to an iteration of the corresponding wind direction amplitude, meaning that each wind speed amplitude has a corresponding wind direction amplitude, and they are in a one-to-one correspondence.

[0121] In the embodiments of this application, the wind direction amplitude of the extreme coherent gust generated after each iteration can be determined by the wind direction iteration parameters and wind direction amplitude. Then, the wind direction amplitude and wind speed amplitude of each iteration during the duration of the extreme coherent gust are fitted to accurately obtain the second correspondence relationship used to characterize the wind direction amplitude and wind speed amplitude.

[0122] In some embodiments of this application, to further accurately determine the second correspondence, the step of determining the wind direction amplitude of the extreme coherent gust at each iteration based on the wind direction iteration parameters and wind direction amplitude may specifically include:

[0123] Based on the wind direction iteration parameters and wind direction amplitude, the wind direction amplitude of the extreme coherent gust at each iteration can be determined according to the following formula (4):

[0124] D cgi =D cg -(i-1)Δd (4)

[0125] Among them, D cg Δd is the wind direction amplitude (i.e., the initial wind direction amplitude); Δd is the wind direction iteration parameter; D cgi denoted as the wind direction amplitude of the extreme coherent gust at each iteration; i is the iteration number, i = 1, 2, 3...

[0126] It should be noted that D here cgi It is greater than 0.

[0127] In the embodiments of this application, the wind direction amplitude of the extreme coherent gust in each iteration can be accurately determined by the above formula (4).

[0128] In some embodiments of this application, to ensure that the collected wind speed amplitude is the wind speed amplitude corresponding to extreme coherent gust conditions, step 2103 may specifically include:

[0129] Given that the wind speed amplitude and wind direction amplitude during the duration of extreme coherent gusts are both monotonically related to time, the wind speed amplitude during the duration of extreme coherent gusts is fitted to obtain the first correspondence between time and wind speed amplitude.

[0130] In some embodiments of this application, only when the wind speed amplitude and wind direction amplitude are monotonically related with time during the duration of the extreme coherent gust, that is, when the wind direction amplitude and wind speed amplitude satisfy the following (1)-(4), can it be indicated that the gust at this time is an extreme coherent gust. In this case, steps 2103-2104 can be executed:

[0131] (1) △V(t)>0, △D(t)>0 and kt0 <t<(k+1)t0,k=0,1,2,……

[0132] (2) △V(t)>0, △D(t)<0 and kt0 <t<(k+1)t0,k=0,1,2,……

[0133] (3) △V(t)<0, △D(t)>0 and kt0 <t<(k+1)t0,k=0,1,2,……

[0134] (4) △V(t)<0, △D(t)<0 and kt0 <t<(k+1)t0,k=0,1,2,……

[0135] Among them, △V(t)=V(t+△t)-V(t); △D(t)=D(t+△t)-D(t).

[0136] In the embodiments of this application, if the wind speed amplitude and wind direction amplitude during the duration of extreme coherent gusts are determined to be monotonically related with time, then the gust during the duration of extreme coherent gusts is considered to be an extreme coherent gust. Then, subsequent steps 2103-2104 are executed. This ensures that the finally determined wind speed amplitude and wind direction amplitude are the wind speed amplitude and wind direction amplitude under the condition of extreme coherent gusts.

[0137] In some embodiments of this application, in order to accurately obtain the wind speed amplitude and wind direction amplitude of the extreme coherent gust corresponding to any extreme coherent gust duration within any return period, step 2105 may specifically include:

[0138] Based on the first correspondence, the target wind speed amplitude of the extreme coherent gust corresponding to the duration of the extreme coherent gust within the target recurrence period is obtained.

[0139] Based on the target wind speed amplitude and the second correspondence, the target wind direction amplitude of the extreme coherent gust corresponding to the duration of the extreme coherent gust within the target return period is obtained.

[0140] The target recurrence period can be the recurrence period desired by the user, and the specific time can be selected according to the user's needs. There are no restrictions here.

[0141] The target wind speed amplitude can be the wind speed amplitude of the extreme coherent gust corresponding to the duration of the extreme coherent gust within the target return period.

[0142] The target wind direction amplitude can be the wind direction amplitude of the extreme coherent gust corresponding to the duration of the extreme coherent gust within the target recurrence period.

[0143] In the embodiments of this application, after determining the first correspondence, the target wind speed amplitude of the extreme coherent gust corresponding to the duration of a certain extreme coherent gust within a certain return period can be obtained. Then, based on the target wind speed amplitude and the second correspondence, the target wind direction amplitude of the extreme coherent gust corresponding to the duration of the extreme coherent gust within the same return period can be determined. In this way, the target wind speed amplitude and target wind direction amplitude of the extreme coherent gust corresponding to the duration of any extreme coherent gust within any return period can be obtained. This is not limited to defining the characteristic parameters of all wind farms according to the standard, thus improving the accuracy of the characteristic parameter evaluation of wind farms.

[0144] To better understand the technical solution of this application, the following describes the technical solution in detail using a specific scenario, with reference to... Figure 5 , Figure 5 This is another implementation flowchart of step 210 provided in the embodiments of this application, as shown below. Figure 5 As shown, step 210 may specifically include the following steps:

[0145] A: Obtain the characteristic parameters of extreme coherent gusts, specifically the multi-year measured data of wind speed amplitude and wind direction amplitude of wind farms, and the iterative parameters Δv and Δd.

[0146] For measured data, the sampling frequency can be f≥1Hz. If the sampling frequency is too low, it will affect the identification accuracy of the extreme coherent gust characteristic parameters. For the iteration parameters, Δv≤0.1m / s and Δd≤0.1deg can be used.

[0147] B1: The duration of extreme coherent gusts can be set as t0 = nΔt (Δt = 1 / f), where n = 1, 2, 3, ...

[0148] B2: Based on years of measured data of wind speed and wind direction amplitudes in wind farms, this application can use the Gust Iteration Identification (GII) method to iterate and obtain sample data that satisfy the simultaneous continuous change of wind direction and wind speed for a duration of t0.

[0149] The GII method function expression is as follows:

[0150] 1) Wind speed amplitude and wind direction amplitude

[0151] Vcg1=Vcg, Vcg2=Vcg-△v, Vcg3=Vcg-2△v,…, Vcgi=Vcg-(i-1)△v

[0152] Dcg1=Dcg, Dcg2=Dcg-△d, Dcg3=Dcg-2△d,…, Dcgi=Dcg-(i-1)△d

[0153] Vcgi>0, Dcgi>0, i=1, 2, 3,…

[0154] 2) Sample identification

[0155] △V(t)=V(t+△t)-V(t)

[0156] △D(t)=D(t+△t)-D(t)

[0157] 3) Meets the definition of coherent gusts:

[0158] (1) △V(t)>0, △D(t)>0 and kt0 <t<(k+1)t0,k=0,1,2,……

[0159] (2) △V(t)>0, △D(t)<0 and kt0 <t<(k+1)t0,k=0,1,2,……

[0160] (3) △V(t)<0, △D(t)>0 and kt0 <t<(k+1)t0,k=0,1,2,……

[0161] (4) △V(t)<0, △D(t)<0 and kt0 <t<(k+1)t0,k=0,1,2,……

[0162] Among them, △V(t)=V(t+△t)-V(t); △D(t)=D(t+△t)-D(t).

[0163] B3: Based on the sample data obtained in B2, the Gumbel extreme value distribution algorithm is used to automatically fit the sample data using a program to obtain the Gumbel distribution parameters α and β; the least squares method is used to fit the wind speed and direction of the sample data to obtain the parameters a and b of the wind speed and direction correlation function Dir. The Gumbel distribution function is F(x) = exp(-exp(-α(x-β)), and the Dir function expression is Dcg = a*Vcg + b.

[0164] B4: The wind speed amplitude and wind direction amplitude can be obtained when the return period is T and the coherent gust duration is t, based on the Gumbel distribution function and the Dir function.

[0165] C: By adjusting the value of n and repeating step B, the final output is the set of wind speed amplitudes Vcg(t) and wind direction amplitudes Dcg(t) for extreme coherent gusts with a return period of T and durations of Δt, 2Δt, 3Δt, ..., nΔt. In other words, by repeating step B, the target wind direction amplitude and target wind speed amplitude for extreme coherent gusts with any return period T and duration t can be obtained.

[0166] It should be noted that the solution provided in this application can also be applied to the identification of characteristic parameters of other wind conditions, and has certain reference significance for the selection of characteristic parameters in the corresponding wind condition definitions in the standard. It should also be noted that the parameters α and β of the Gumbel distribution mentioned above can also be estimated using the maximum likelihood method and the method of moments.

[0167] In some embodiments of this application, to better understand the technical solutions of this application, the technical solutions of this application are described in detail below using specific scenarios, with reference to... Figure 6 , Figure 6 This is a schematic diagram of another implementation process for determining the feature parameters provided in the embodiments of this application, such as... Figure 6 As shown, the feature parameter determination method provided in this application embodiment may include the following steps:

[0168] A: Required input data: The set of extreme coherent gusts Vcg(t) and Dcg(t) identified when the return period is T and the duration of the extreme coherent gust is t.

[0169] In this step, we obtain multiple sets of feature parameters in step 210 of the above embodiment.

[0170] B: Vcg(t) and Dcg(t) are screened again based on the gust energy factor.

[0171] In this step, the specific screening process can refer to the process in the above embodiment of selecting the first target gust energy factor that meets the first preset condition from each gust energy factor, and will not be repeated here.

[0172] C: According to the load design condition requirements in the wind turbine design standard, in the DLC14 condition, Vcg = Vcg(t') and Dcg = Dcg(t') are taken, and wind turbine load simulation calculations are performed. Then, the envelope of the load results of the DLC14 condition is taken, and the corresponding extreme coherent gust duration t is finally obtained, realizing the evaluation of the extreme coherent gust duration t. The load at this time is the most dangerous load of the wind turbine under the action of extreme coherent gust, which can be used for wind turbine load evaluation.

[0173] The technical solution of this application proposes the concept of gust energy factor, which can easily and efficiently determine the extreme coherent gust wind conditions with a high degree of danger under a specific wind farm. It can realize secondary screening of the characteristic parameters Vcg(t) and Dcg(t) of extreme coherent gusts and identify the extreme coherent gusts that have a strong influence on wind turbine units, which is conducive to the application of the characteristic parameters Vcg(t) and Dcg(t) of extreme coherent gusts in wind turbine load assessment.

[0174] The technical solution of this application, based on the extreme coherent gust characteristic parameters Vcg(t') and Dcg(t') after secondary screening, realizes the revision of the DLC14 operating condition in wind turbine load assessment. This invention uses the revised wind turbine load calculation results under the DLC14 operating condition as the judgment basis, realizing the assessment of the duration t of extreme coherent gusts in a specific wind farm, which is beneficial to the widespread application of the extreme coherence characteristic parameters Vcg(t) and Dcg(t) in the wind turbine load assessment process.

[0175] The technical solution of this application enables wind turbine load assessment to better reflect actual conditions. When the DLC14 operating condition is dominant, it can significantly improve wind turbine safety, which is crucial for preventing extreme accidents such as tower collapse. Furthermore, for specific wind farms with relatively small extreme coherent gusts, this invention is essential for reducing the design cost of wind turbine units and improving economic efficiency.

[0176] It should be noted that the input data mentioned in this application, namely the set of extreme coherent gusts Vcg(t) and Dcg(t) identified when the return period is T and the duration of extreme coherent gusts is t, can be obtained by various methods. The subsequent secondary screening method and the method for evaluating the duration t of extreme coherent gusts can all be applied.

[0177] It should be noted that the gust energy factor proposed in this application is an estimation method for gust energy. The GEF expression should be directly proportional to the difference in squared wind speed, wind direction, and density, and inversely proportional to the duration of the gust. GEF is an expression that comprehensively considers gust wind speed, wind direction, duration, and air density. Substitution using relevant methods that do not change the essence of the GEF expression can achieve secondary screening of the characteristic parameters of extreme coherent gusts.

[0178] It should be noted that the feature parameter determination method provided in this application embodiment can be executed by a feature parameter determination device or a control module in the feature parameter determination device for executing the feature parameter determination method.

[0179] Based on the same inventive concept as the aforementioned feature parameter determination method, this application also provides a feature parameter determination device. The following is in conjunction with... Figure 7 The feature parameter determination device provided in the embodiments of this application will be described in detail.

[0180] Figure 7 This is a schematic diagram of a feature parameter determining device according to an exemplary embodiment.

[0181] like Figure 7 As shown, the feature parameter determining device 700 may include:

[0182] The first acquisition module 710 is used to acquire multiple sets of feature parameters; wherein each set of feature parameters includes: return period, duration of extreme coherent gust, wind speed amplitude of extreme coherent gust during the duration of extreme coherent gust within the return period, and wind direction amplitude of extreme coherent gust during the duration of extreme coherent gust within the return period.

[0183] The first determining module 720 is used to obtain the gust energy factor corresponding to each extreme coherent gust duration based on the wind speed information at the wind turbine hub corresponding to each extreme coherent gust duration.

[0184] The selection module 730 is used to select a first target gust energy factor that meets the first preset condition from the gust energy factors.

[0185] The second determining module 740 is used to determine at least one set of characteristic parameters corresponding to the first target gust energy factor as target characteristic parameters.

[0186] In the embodiments of this application, multiple sets of characteristic parameters are obtained; each set of characteristic parameters includes: return period, duration of extreme coherent gusts, wind speed amplitude of extreme coherent gusts within the return period and duration of extreme coherent gusts, and wind direction amplitude of extreme coherent gusts within the return period and duration of extreme coherent gusts. Based on the wind speed information at the wind turbine hub corresponding to each duration of extreme coherent gusts, a gust energy factor corresponding to each duration of extreme coherent gusts is obtained. A first target gust energy factor that meets the first preset condition is selected from each gust energy factor. At least one set of characteristic parameters corresponding to the first target gust energy factor is determined as the target characteristic parameter. In this way, by setting the gust energy factor, the characteristic parameters affecting the wind turbine load can be accurately determined.

[0187] In some embodiments of this application, in order to accurately obtain the gust energy factor corresponding to the duration of each extreme coherent gust, the aforementioned characteristic parameter determination device may further include:

[0188] The second acquisition module is used to acquire, for each extreme coherent gust duration, the wind speed information at the hub of the wind turbine corresponding to the extreme coherent gust duration from the wind turbine design standard; wherein, the wind turbine design standard has a correspondence between the extreme coherent gust duration and the wind speed information at the hub of the wind turbine.

[0189] The first determining module 720 can be specifically used for:

[0190] For each extreme coherent gust duration, perform the following steps to obtain the gust energy factor corresponding to each extreme coherent gust duration:

[0191] Based on the wind speed information at the wind turbine hub corresponding to the duration of the extreme coherent gust, and the correspondence between the wind speed information and the gust energy factor, the gust energy factor corresponding to the duration of the extreme coherent gust is obtained.

[0192] In some embodiments of this application, the correspondence between the wind speed information and the gust energy factor is as follows:

[0193]

[0194] Among them, GEF(V cg (t i ),D cg (t i ),t i ,ρ) represents the gust energy factor; t i V represents the duration of extreme coherent gusts, where i is a positive integer; hub This represents the wind speed at the wind turbine hub; ρ is the air density; V cg (t i The recurrence period is T, and the duration of extreme coherent gusts is t. i At that time, the wind speed amplitude of the extreme coherent gust; D cg (t i The recurrence period is T, and the duration of extreme coherent gusts is t. i At that time, the wind direction amplitude of extreme coherent gusts.

[0195] In some embodiments of this application, to accurately select the first target gust energy factor, the selection module 730 may specifically include:

[0196] The first determining unit is used to sort the gust energy factors from largest to smallest to obtain a first sequence;

[0197] The first acquisition unit is used to acquire a second target gust energy factor that meets a second preset condition; wherein, the second preset condition is that in the first sequence, the wind speed amplitude of the first extreme coherent gust during the duration of the extreme coherent gust is greater than the gust energy factor of the wind speed information corresponding to the duration of the extreme coherent gust.

[0198] The selection unit is used to select a first target gust energy factor that meets the first preset condition from the gust energy factors based on the second target gust energy factor.

[0199] In some embodiments of this application, in order to further accurately obtain the first target gust energy factor, the selection unit may specifically be used for:

[0200] Based on the second target gust energy factor, a first target gust energy factor that is greater than or equal to the second target gust energy factor is selected from the gust energy factors.

[0201] In some embodiments of this application, for the safety of wind turbine generators, the aforementioned characteristic parameter determination device may further include:

[0202] The update module is used to update the wind speed amplitude and wind direction amplitude in the wind turbine design standard for each set of target feature parameters based on the wind speed amplitude and wind direction amplitude in the target feature parameters, respectively.

[0203] The third determination module is used to perform wind turbine load simulation calculations on the updated wind speed amplitude and wind direction amplitude to obtain the duration of the target extreme coherent gust.

[0204] The fourth determining module is used to determine the wind turbine load under the target extreme coherent gust duration as the target load; wherein, the target load is used to characterize that the wind turbine will be in danger under the target load.

[0205] In some embodiments of this application, in order to further accurately determine the characteristic parameters affecting the wind turbine load, the first acquisition module 710 may specifically be used for:

[0206] Obtain historical characteristic parameters of the wind farm within a preset historical time period; wherein, the historical characteristic parameters include: historical wind speed amplitude and historical wind direction amplitude;

[0207] The duration of extreme coherent gusts is obtained based on the sampling period of the historical characteristic parameters.

[0208] The historical wind speed amplitude during the duration of the extreme coherent gust is fitted to obtain a first correspondence between time and wind speed amplitude.

[0209] By fitting the historical wind speed amplitude and the historical wind direction amplitude during the duration of the extreme coherent gust, a second correspondence between the wind speed amplitude and the wind direction amplitude is obtained;

[0210] Based on the first correspondence and the second correspondence, multiple sets of feature parameters are obtained.

[0211] The feature parameter determination device provided in this application embodiment can be used to execute the feature parameter determination methods provided in the above method embodiments. Its implementation principle and technical effect are similar, and for the sake of brevity, it will not be described in detail here.

[0212] Based on the same inventive concept, embodiments of this application also provide an electronic device.

[0213] Figure 8This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 8 As shown, the electronic device may include a processor 801 and a memory 802 storing computer programs or instructions.

[0214] Specifically, the processor 801 may include a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of the present invention.

[0215] Memory 802 may include mass storage for data or instructions. For example, and not limitingly, memory 802 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 802 may include removable or non-removable (or fixed) media. Where appropriate, memory 802 may be internal or external to the integrated gateway disaster recovery device. In a particular embodiment, memory 802 is non-volatile solid-state memory. Memory may include read-only memory (ROM), random-access memory (RAM), disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical / tangible memory storage devices. Therefore, typically, a memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described in the feature parameter determination method provided in the above embodiments.

[0216] The processor 801 reads and executes computer program instructions stored in the memory 802 to implement any of the feature parameter determination methods in the above embodiments.

[0217] In one example, the electronic device may also include a communication interface 803 and a bus 810. For example, Figure 8 As shown, the processor 801, memory 802, and communication interface 803 are connected through bus 810 and complete communication with each other.

[0218] The communication interface 803 is mainly used to realize communication between various modules, devices, units and / or devices in the embodiments of the present invention.

[0219] Bus 810 includes hardware, software, or both, that couples components of an electronic device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 810 may include one or more buses. Although specific buses are described and illustrated in embodiments of the invention, the invention contemplates any suitable bus or interconnect.

[0220] The electronic device can execute the feature parameter determination method in the embodiments of the present invention, thereby achieving... Figure 2 and Figure 6 The method for determining the characteristic parameters described.

[0221] Furthermore, in conjunction with the feature parameter determination methods in the above embodiments, this invention can be implemented using a readable storage medium. This readable storage medium stores program instructions; when these program instructions are executed by a processor, they implement any of the feature parameter determination methods in the above embodiments.

[0222] Furthermore, in conjunction with the feature parameter determination methods in the above embodiments, this invention can be implemented using a computer program product. When the instructions in this computer program product are executed by the processor of an electronic device, the electronic device implements any of the feature parameter determination methods described in the above embodiments.

[0223] It should be clarified that the present invention is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of the present invention.

[0224] The functional blocks shown in the above-described structural diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this invention are programs or code segments used to perform the required tasks. The programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0225] It should also be noted that the exemplary embodiments mentioned in this invention describe methods or systems based on a series of steps or apparatus. However, this invention is not limited to the order of the steps described above; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0226] The aspects of this application have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by dedicated hardware performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0227] The above description is merely a specific embodiment of the present invention. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the protection scope of the present invention.

Claims

1. A method for determining characteristic parameters, characterized in that, The method includes: Multiple sets of feature parameters are obtained; wherein each set of feature parameters includes: return period, duration of extreme coherent gust, wind speed amplitude of extreme coherent gust during the duration of extreme coherent gust within the return period, and wind direction amplitude of extreme coherent gust during the duration of extreme coherent gust within the return period. Based on the wind speed information at the wind turbine hub corresponding to the duration of each extreme coherent gust, a gust energy factor corresponding to the duration of each extreme coherent gust is obtained, and the gust energy factor is used to evaluate the intensity of the extreme coherent gust. Select a first target gust energy factor that meets the first preset condition from all the gust energy factors; At least one set of characteristic parameters corresponding to the first target gust energy factor are determined as target characteristic parameters that affect the load of the wind turbine. The correspondence between the wind speed information and the gust energy factor is as follows: Among them, GEF(V cg (t i ),D cg (t i ),t i ,ρ) represents the gust energy factor; t i V represents the duration of extreme coherent gusts, where i is a positive integer; hub This represents the wind speed at the wind turbine hub; ρ is the air density; V cg (t i The return period is T, and the duration of extreme coherent gusts is t. i At that time, the wind speed amplitude of the extreme coherent gust; D cg (t i The return period is T, and the duration of extreme coherent gusts is t. i At that time, the wind direction amplitude of extreme coherent gusts.

2. The method according to claim 1, characterized in that, Before obtaining the gust energy factor corresponding to each extreme coherent gust duration based on the wind speed information at the wind turbine hub corresponding to each extreme coherent gust duration, the method further includes: For each extreme coherent gust duration, wind speed information at the wind turbine hub corresponding to the extreme coherent gust duration is obtained from the wind turbine design standard; wherein, the wind turbine design standard has a correspondence between the extreme coherent gust duration and the wind speed information at the wind turbine hub.

3. The method according to claim 2, characterized in that, The step of selecting the target gust energy factor that meets the first preset condition from the gust energy factors includes: The gust energy factors are sorted from largest to smallest to obtain the first sequence; Obtain a second target gust energy factor that meets a second preset condition; wherein, the second preset condition is that in the first sequence, the wind speed amplitude of the first extreme coherent gust during the duration of the extreme coherent gust is greater than the gust energy factor of the wind speed information corresponding to the duration of the extreme coherent gust. Based on the second target gust energy factor, a first target gust energy factor that meets the first preset condition is selected from all the gust energy factors.

4. The method according to claim 3, characterized in that, The step of selecting a first target gust energy factor that meets a first preset condition from among the gust energy factors based on the second target gust energy factor includes: Based on the second target gust energy factor, a first target gust energy factor that is greater than or equal to the second target gust energy factor is selected from the gust energy factors.

5. The method according to claim 2, characterized in that, After determining at least one set of characteristic parameters corresponding to the first target gust energy factor as target characteristic parameters affecting the load of the wind turbine, the method further includes: For each set of target feature parameters, the wind speed amplitude and wind direction amplitude in the wind turbine design standard are updated based on the wind speed amplitude and wind direction amplitude in the target feature parameters, respectively. The wind turbine load was simulated and calculated based on the updated wind speed amplitude and wind direction amplitude to obtain the duration of the target extreme coherent gust. The wind turbine load under the target extreme coherent gust duration is defined as the target load; wherein, the target load is used to characterize that the wind turbine will be in danger under the target load.

6. The method according to claim 1, characterized in that, The acquisition of multiple sets of feature parameters includes: Obtain historical characteristic parameters of the wind farm within a preset historical time period; wherein, the historical characteristic parameters include: historical wind speed amplitude and historical wind direction amplitude; The duration of extreme coherent gusts is obtained based on the sampling period of the historical characteristic parameters. The historical wind speed amplitude during the duration of the extreme coherent gust is fitted to obtain a first correspondence between time and wind speed amplitude. By fitting the historical wind speed amplitude and the historical wind direction amplitude during the duration of the extreme coherent gust, a second correspondence between the wind speed amplitude and the wind direction amplitude is obtained; Based on the first correspondence and the second correspondence, multiple sets of feature parameters are obtained.

7. A characteristic parameter determining device, characterized in that, The device includes: The first acquisition module is used to acquire multiple sets of feature parameters; wherein each set of feature parameters includes: return period, duration of extreme coherent gust, wind speed amplitude of extreme coherent gust during the duration of extreme coherent gust within the return period, and wind direction amplitude of extreme coherent gust during the duration of extreme coherent gust within the return period. The first determining module is used to obtain the gust energy factor corresponding to each extreme coherent gust duration based on the wind speed information at the wind turbine hub corresponding to each extreme coherent gust duration, and the gust energy factor is used to evaluate the intensity of the extreme coherent gust. The selection module is used to select a first target gust energy factor that meets the first preset condition from the gust energy factors. The second determining module is used to determine at least one set of characteristic parameters corresponding to the first target gust energy factor as target characteristic parameters; The correspondence between the wind speed information and the gust energy factor is as follows: Among them, GEF(V cg (t i ),D cg (t i ),t i ,ρ) represents the gust energy factor; t i V represents the duration of extreme coherent gusts, where i is a positive integer; hub This represents the wind speed at the wind turbine hub; ρ is the air density; V cg (t i The return period is T, and the duration of extreme coherent gusts is t. i At that time, the wind speed amplitude of the extreme coherent gust; D cg (t i The return period is T, and the duration of extreme coherent gusts is t. i At that time, the wind direction amplitude of extreme coherent gusts.

8. A characteristic parameter determination controller, characterized in that, The feature parameter determination controller includes a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, it implements the feature parameter determination method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer program instructions, which, when executed by a processor, implement the feature parameter determination method as described in any one of claims 1-6.

10. A computer program product, characterized in that, When the instructions in the computer program product are executed by the processor of the electronic device, the electronic device performs the feature parameter determination method as described in any one of claims 1-6.

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