Methods, devices, controllers, media, and products for determining extreme coherent gust parameters
By acquiring and fitting wind speed and direction data in wind farms and establishing corresponding relationships, the problem of regional differences was solved, and the accurate evaluation of extreme coherent gust parameters was achieved, thus improving the accuracy of wind farm characteristic parameters.
Patent Information
- Application Number
- CN202310015007.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-01-04
- Publication Date
- 2025-12-02
- Estimated Expiration
- 2043-01-04
AI Technical Summary
Existing technologies fail to consider the geographical differences of wind turbine generators, resulting in the inability to obtain wind speed and direction amplitudes at different return periods and durations, which affects the accuracy of wind farm characteristic parameter assessment.
By acquiring the wind speed and direction amplitudes of a wind farm over a preset historical time period, a first correspondence between wind speed and time is established through fitting. Combined with the second correspondence between wind speed and direction, the wind speed and direction amplitudes of extreme coherent gusts within the target recurrence period are determined.
It improves the accuracy of wind farm characteristic parameter assessment, and can accurately determine the wind speed and direction amplitude of extreme coherent gusts according to different regions and conditions, exceeding the limitations defined by the standard.
Smart Images
Figure CN118296787B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of wind power generation technology, specifically to a method, device, controller, medium, and product for determining extreme coherent gust 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, the design standards adopted for wind turbines (IEC61400-1:2019, GL IV-1-4:2010, EC61400-3:2019) all define the characteristic values of extreme coherent gusts. Moreover, the industry's assessment of wind farms all adopts the defined values of the characteristic values in the aforementioned standards, without considering the impact of regional differences in the location of wind turbines. As a result, it is impossible to obtain the wind speed amplitude and wind direction amplitude at different return periods and for different durations. Summary of the Invention
[0004] The purpose of this application is to provide a method, device, controller, medium, and product for determining extreme coherent gust parameters, so as to obtain wind speed amplitude and wind direction amplitude within different return periods and for different durations according to the geographical location of different wind turbine generators.
[0005] The technical solution of this application is as follows:
[0006] Firstly, a method for determining extreme coherent gust parameters is provided, the method comprising:
[0007] Obtain characteristic parameters of the wind farm within a preset historical time period; wherein, the characteristic parameters include: wind speed amplitude and wind direction amplitude;
[0008] The duration of extreme coherent gusts is obtained based on the sampling period of the aforementioned characteristic parameters.
[0009] The wind speed amplitude during the duration is fitted to obtain a first correspondence characterizing the time and the wind speed amplitude.
[0010] By fitting the wind speed amplitude and the wind direction amplitude during the specified duration, a second correspondence between wind speed and wind direction is obtained.
[0011] Based on the first correspondence and the second correspondence, the target wind speed amplitude and target wind direction amplitude of the extreme coherent gusts corresponding to the duration within the target recurrence period are obtained.
[0012] Secondly, an extreme coherent gust parameter determination device is provided, the device comprising:
[0013] The first acquisition module is used to acquire characteristic parameters of the wind farm within a preset historical time period; wherein, the characteristic parameters include: wind speed amplitude and wind direction amplitude;
[0014] The first determining module is used to obtain the duration of extreme coherent gusts based on the sampling period of the characteristic parameters;
[0015] The second determining module is used to fit the wind speed amplitude within the duration to obtain a first correspondence between time and wind speed amplitude.
[0016] The third determining module is used to fit the wind speed amplitude and the wind direction amplitude during the duration to obtain a second correspondence between wind speed and wind direction;
[0017] The fourth determining module is used to obtain the target wind speed amplitude and target wind direction amplitude of the extreme coherent gust corresponding to the duration within the target recurrence period, based on the first correspondence relationship and the second correspondence relationship.
[0018] 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 extreme coherent gust parameter determination method described in any embodiment of this application.
[0019] 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 extreme coherent gust parameter determination method described in any embodiment of this application.
[0020] 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 the extreme coherent gust parameter determination method described in any embodiment of this application.
[0021] The technical solutions provided by the embodiments of this application bring at least the following beneficial effects:
[0022] In the embodiments provided in this application, by obtaining the measured wind speed amplitude and wind direction amplitude of wind farms within a historical preset time period, and fitting the wind speed amplitude within the duration, a first correspondence relationship can be obtained to characterize the wind speed amplitude and time. Furthermore, by fitting the wind speed amplitude and wind direction amplitude within the duration, 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 target wind speed amplitude and target wind direction amplitude of extreme coherent gusts corresponding to the duration within any target recurrence 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.
[0023] 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
[0024] 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.
[0025] Figure 1 This is a schematic diagram illustrating an extreme coherent gust of wind situation involved in an embodiment of this application;
[0026] Figure 2 This is one of the flowcharts illustrating a method for determining extreme coherent gust parameters provided in the first aspect of this application;
[0027] Figure 3 This is a second flowchart illustrating a method for determining extreme coherent gust parameters provided in the first aspect of this application.
[0028] Figure 4 This is a schematic diagram of the structure of an extreme coherent gust parameter determination device provided in the second aspect embodiment of this application;
[0029] Figure 5 This is a schematic diagram of the structure of an electronic device provided in the third aspect of this application. Detailed Implementation
[0030] 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.
[0031] 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.
[0032] 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.
[0033] As described in the background section, current assessments of wind farms do not consider the impact of geographical differences in the location of wind turbine generators, resulting in the inability to obtain wind speed and direction amplitudes for different return periods and durations. To address this issue, this application provides a method, apparatus, controller, medium, and product for determining extreme coherent gust parameters. By acquiring measured wind speed and direction amplitudes of wind farms within a historical preset time period, fitting the wind speed amplitudes over the duration yields a first correspondence characterizing the wind speed amplitude versus time. Furthermore, fitting the wind speed and direction amplitudes over the duration yields a second correspondence characterizing the wind speed and direction amplitudes. Based on these first and second correspondences, the target wind speed and direction amplitudes for extreme coherent gusts corresponding to any target return period and duration can be obtained. This is not limited to defining all wind farm characteristic parameters according to standards, thus improving the accuracy of wind farm characteristic parameter assessment.
[0034] The method for determining extreme coherent gust parameters provided in this application will be described in detail below with reference to the accompanying drawings, through specific embodiments and application scenarios.
[0035] Figure 2 This is a flowchart illustrating a method for determining extreme coherent gust parameters provided in an embodiment of this application, as shown below. Figure 2 As shown, the method for determining extreme coherent gust parameters provided in this application embodiment may include steps 110-150.
[0036] Step 110: Obtain the characteristic parameters of the wind farm within the preset historical time period.
[0037] The historical preset time period can be a period of time in the past of the wind farm.
[0038] The characteristic parameters can be relevant characteristic parameters within a preset historical time period of the wind farm, specifically including: wind speed amplitude and wind direction amplitude.
[0039] Step 120: Based on the sampling period of the characteristic parameters, obtain the duration of the extreme coherent gust.
[0040] In some embodiments of this application, the duration of extreme coherent gusts can be obtained according to the following formula (1):
[0041] t0=n×Δt (1)
[0042] 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.
[0043] Step 130: Fit the wind speed amplitude over the duration to obtain the first correspondence between time and wind speed amplitude.
[0044] The first correspondence can be used to characterize the correspondence between time and wind speed amplitude.
[0045] In some embodiments of this application, the wind speed amplitude over a duration 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.
[0046] Step 140: Fit the wind speed amplitude and wind direction amplitude over the duration to obtain the second correspondence between the wind speed amplitude and wind direction amplitude.
[0047] The second correspondence can be used to characterize the correspondence between wind speed amplitude and wind direction amplitude.
[0048] 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 wind speed and direction amplitudes over a duration 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.
[0049] Step 150: Based on the first correspondence and the second correspondence, obtain the target wind speed amplitude and target wind direction amplitude of the extreme coherent gust corresponding to the duration within the target recurrence period.
[0050] 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.
[0051] The target wind speed amplitude can be the wind speed amplitude of the extreme coherent gust corresponding to the duration within the target return period.
[0052] The target wind direction amplitude can be the wind direction amplitude of the extreme coherent gust corresponding to the duration within the target recurrence period.
[0053] In the embodiments of this application, by obtaining the measured wind speed amplitude and wind direction amplitude of wind farms within a historical preset time period, and fitting the wind speed amplitude over the duration, a first correspondence relationship can be obtained to characterize the wind speed amplitude and time. Furthermore, by fitting the wind speed amplitude and wind direction amplitude over the duration, 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 target wind speed amplitude and target wind direction amplitude of extreme coherent gusts corresponding to the duration within any target recurrence 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.
[0054] In some embodiments of this application, in order to accurately determine the first correspondence, after step 110, the method for determining the extreme coherent gust parameters mentioned above may further include:
[0055] Obtain the iteration parameters corresponding to the feature parameters; among which, the iteration parameters include: wind speed iteration parameters and wind direction iteration parameters;
[0056] Prior to step 130, the method for determining the extreme coherent gust parameters mentioned above may further include:
[0057] Based on the wind speed iteration parameters and wind speed amplitude, the wind speed amplitude of the extreme coherent gusts is determined for each iteration.
[0058] Step 130 may specifically include:
[0059] By fitting the wind speed amplitude for each iteration within the duration, a first correspondence between time and wind speed amplitude is obtained.
[0060] Among them, the wind speed iteration parameter can be the parameter for iterating the wind speed amplitude, specifically Δv≤0.1m / s.
[0061] The wind direction iteration parameter can be a parameter used to iterate the wind direction amplitude, where △d≤0.1deg.
[0062] 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, by fitting the wind speed amplitude of each iteration within the duration, a first correspondence between time and wind speed amplitude can be accurately obtained.
[0063] 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:
[0064] 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 (2):
[0065] V cgi =V cg -(i-1)Δv (2)
[0066] 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, ...
[0067] It should be noted that V here cgi It is greater than 0.
[0068] 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 (2).
[0069] In some embodiments of this application, in order to accurately determine the second correspondence, after obtaining the iterative parameters corresponding to the feature parameters, the above-mentioned method for determining extreme coherent gust parameters may further include:
[0070] Based on the wind direction iteration parameters and wind direction amplitude, the wind direction amplitude of the extreme coherent gusts at each iteration is determined;
[0071] Step 140 may specifically include:
[0072] By fitting the wind speed amplitude and wind direction amplitude for each iteration within the duration, a second correspondence between the wind speed amplitude and wind direction amplitude is obtained.
[0073] 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 within the duration are fitted to obtain a second correspondence between the wind speed amplitude and the wind direction amplitude.
[0074] 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.
[0075] 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 within the duration are fitted to accurately obtain the second correspondence relationship used to characterize the wind direction amplitude and wind speed amplitude.
[0076] 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:
[0077] 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 (3):
[0078] D cgi =D cg -(i-1)Δd (3)
[0079] 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...
[0080] It should be noted that D here cgi It is greater than 0.
[0081] 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 (3).
[0082] 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 130 may specifically include:
[0083] Given that the wind speed amplitude and wind direction amplitude both exhibit a monotonic relationship with time over a given duration, the wind speed amplitude over the duration is fitted to obtain the first correspondence characterizing the relationship between time and wind speed amplitude.
[0084] In some embodiments of this application, only when the wind speed amplitude and wind direction amplitude are monotonically related with time over a duration, i.e., 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 130-140 can be executed:
[0085] (1) △V(t)>0, △D(t)>0 and kt0 <t<(k+1)t0,k=0,1,2,……
[0086] (2) △V(t)>0, △D(t)<0 and kt0 <t<(k+1)t0,k=0,1,2,……
[0087] (3) △V(t)<0, △D(t)>0 and kt0 <t<(k+1)t0,k=0,1,2,……
[0088] (4) △V(t)<0, △D(t)<0 and kt0 <t<(k+1)t0,k=0,1,2,……
[0089] Among them, △V(t)=V(t+△t)-V(t); △D(t)=D(t+△t)-D(t).
[0090] In the embodiments of this application, if the wind speed amplitude and wind direction amplitude are monotonically related over time during the determined duration, then the gusts during that duration are extreme coherent gusts. Then, the subsequent steps 130-140 are executed. This ensures that the final determined target wind speed amplitude and target wind direction amplitude are the target wind speed amplitude and target wind direction amplitude under the extreme coherent gust condition.
[0091] In some embodiments of this application, in order to accurately obtain the target wind speed amplitude and target wind direction amplitude of the extreme coherent gust corresponding to the duration within the target return period, step 150 may specifically include:
[0092] Based on the first correspondence, the target wind speed amplitude of the extreme coherent gust corresponding to the duration within the target recurrence period is obtained;
[0093] 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 within the target recurrence period is obtained.
[0094] In the embodiments of this application, after determining the first correspondence, the target wind speed amplitude of the extreme coherent gust corresponding to a certain duration 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 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 any duration 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.
[0095] 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 3 , Figure 3 This is a flowchart illustrating another method for determining extreme coherent gust parameters provided in an embodiment of this application, as shown below. Figure 3As shown, the method for determining extreme coherent gust parameters provided in this application embodiment may include the following steps:
[0096] 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.
[0097] 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.
[0098] B1: The duration of extreme coherent gusts can be set as t0 = nΔt (Δt = 1 / f), where n = 1, 2, 3, ...
[0099] 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.
[0100] The GII method function expression is as follows:
[0101] 1) Wind speed amplitude and wind direction amplitude
[0102] Vcg1=Vcg, Vcg2=Vcg-△v, Vcg3=Vcg-2△v,…, Vcgi=Vcg-(i-1)△v
[0103] Dcg1=Dcg, Dcg2=Dcg-△d, Dcg3=Dcg-2△d,…, Dcgi=Dcg-(i-1)△d
[0104] Vcgi>0, Dcgi>0, i=1, 2, 3,…
[0105] 2) Sample identification
[0106] △V(t)=V(t+△t)-V(t)
[0107] △D(t)=D(t+△t)-D(t)
[0108] 3) Meets the definition of coherent gusts:
[0109] (1) △V(t)>0, △D(t)>0 and kt0 <t<(k+1)t0,k=0,1,2,……
[0110] (2) △V(t)>0, △D(t)<0 and kt0 <t<(k+1)t0,k=0,1,2,……
[0111] (3) △V(t)<0, △D(t)>0 and kt0 <t<(k+1)t0,k=0,1,2,……
[0112] (4) △V(t)<0, △D(t)<0 and kt0 <t<(k+1)t0,k=0,1,2,……
[0113] Among them, △V(t)=V(t+△t)-V(t); △D(t)=D(t+△t)-D(t).
[0114] 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.
[0115] 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.
[0116] 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.
[0117] 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.
[0118] It should be noted that the execution subject of the extreme coherent gust parameter determination method provided in this application embodiment can be an extreme coherent gust parameter determination device, or a control module in the extreme coherent gust parameter determination device for executing the extreme coherent gust parameter determination method.
[0119] Based on the same inventive concept as the aforementioned method for determining extreme coherent gust parameters, this application also provides a device for determining extreme coherent gust parameters. The following is in conjunction with... Figure 4The extreme coherent gust parameter determination device provided in the embodiments of this application will be described in detail.
[0120] Figure 4 This is a schematic diagram of an extreme coherent gust parameter determination device according to an exemplary embodiment.
[0121] like Figure 4 As shown, the extreme coherent gust parameter determination device 400 may include:
[0122] The first acquisition module 410 is used to acquire characteristic parameters of the wind farm within a preset historical time period; wherein, the characteristic parameters include: wind speed amplitude and wind direction amplitude;
[0123] The first determining module 420 is used to obtain the duration of extreme coherent gusts based on the sampling period of the characteristic parameters;
[0124] The second determining module 430 is used to fit the wind speed amplitude within the duration to obtain a first correspondence between time and wind speed amplitude.
[0125] The third determining module 440 is used to fit the wind speed amplitude and the wind direction amplitude during the duration to obtain a second correspondence between the wind speed amplitude and the wind direction amplitude.
[0126] The fourth determining module 450 is used to obtain the target wind speed amplitude and target wind direction amplitude of the extreme coherent gust corresponding to the duration within the target recurrence period, based on the first correspondence relationship and the second correspondence relationship.
[0127] In the embodiments of this application, by obtaining the measured wind speed amplitude and wind direction amplitude of wind farms within a historical preset time period, and fitting the wind speed amplitude over the duration, a first correspondence relationship can be obtained to characterize the wind speed amplitude and time. Furthermore, by fitting the wind speed amplitude and wind direction amplitude over the duration, 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 target wind speed amplitude and target wind direction amplitude of extreme coherent gusts corresponding to the duration within any target recurrence 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.
[0128] In some embodiments of this application, in order to accurately determine the first correspondence, the extreme coherent gust parameter determination device mentioned above may further include:
[0129] The second acquisition module is used to acquire the iteration parameters corresponding to the feature parameters; wherein the iteration parameters include: wind speed iteration parameters and wind direction iteration parameters.
[0130] The fifth determining module is used to determine the wind speed amplitude of the extreme coherent gust at each iteration based on the wind speed iteration parameters and the wind speed amplitude.
[0131] The second determining module 430 may specifically include:
[0132] The first determining unit is used to fit the wind speed amplitude of each iteration within the duration to obtain a first correspondence between time and the wind speed amplitude.
[0133] In some embodiments of this application, in order to further accurately obtain the first correspondence, the first determining unit may specifically be used for:
[0134] Based on the wind speed iteration parameters and the wind speed amplitude, the wind speed amplitude of the extreme coherent gusts at each iteration is determined according to the following formula:
[0135] V cgi =V cg -(i-1)Δv
[0136] Among them, V cg The wind speed amplitude is Δv; the wind speed iteration parameter is 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, ...
[0137] In some embodiments of this application, in order to accurately determine the second correspondence, the extreme coherent gust parameter determination device mentioned above may further include:
[0138] The sixth determining module is used to determine the wind direction amplitude of the extreme coherent gust at each iteration based on the wind direction iteration parameters and the wind direction amplitude.
[0139] The third determining module 440 may specifically include:
[0140] The second determining unit is used to fit the wind speed amplitude and the wind direction amplitude of each iteration within the duration to obtain a second correspondence between the wind speed amplitude and the wind direction amplitude.
[0141] In some embodiments of this application, in order to further accurately determine the second correspondence, the second determining unit may specifically be used for:
[0142] Based on the wind direction iteration parameters and the wind direction amplitude, the wind direction amplitude of the extreme coherent gust at each iteration is determined according to the following formula:
[0143] D cgi =D cg -(i-1)Δd
[0144] Among them, D cg The wind direction amplitude is denoted as Δd; the wind direction iteration parameter is denoted as 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...
[0145] In some embodiments of this application, the second determining module 430 may specifically be used for:
[0146] Given that the wind direction amplitude and wind speed amplitude are both monotonically related to time during the specified duration, the wind speed amplitude during the specified duration is fitted to obtain a first correspondence that characterizes the relationship between time and the wind speed amplitude.
[0147] In some embodiments of this application, in order to accurately obtain the target wind speed amplitude and target wind direction amplitude of the extreme coherent gust corresponding to the duration within the target return period, the fourth determining module 450 may specifically be used for:
[0148] Based on the first correspondence, the target wind speed amplitude of the extreme coherent gust corresponding to the duration within the target recurrence period is obtained;
[0149] 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 within the target return period is obtained.
[0150] The extreme coherent gust parameter determination device provided in this application embodiment can be used to execute the extreme coherent gust parameter determination methods provided in the above method embodiments. Its implementation principle and technical effect are similar, and will not be described in detail here for the sake of brevity.
[0151] Based on the same inventive concept, embodiments of this application also provide an electronic device.
[0152] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. For example... Figure 5 As shown, the electronic device may include a processor 501 and a memory 502 storing computer programs or instructions.
[0153] Specifically, the processor 501 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.
[0154] Memory 502 may include mass storage for data or instructions. For example, and not limitingly, memory 502 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 502 may include removable or non-removable (or fixed) media. Where appropriate, memory 502 may be internal or external to the integrated gateway disaster recovery device. In a particular embodiment, memory 502 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 extreme coherence gust parameter determination method provided in the above embodiments.
[0155] The processor 501 reads and executes computer program instructions stored in the memory 502 to implement any of the extreme coherent gust parameter determination methods in the above embodiments.
[0156] In one example, the electronic device may also include a communication interface 503 and a bus 510. Wherein, as... Figure 5 As shown, the processor 501, memory 502, and communication interface 503 are connected through bus 510 and complete communication with each other.
[0157] The communication interface 503 is mainly used to realize communication between various modules, devices, units and / or devices in the embodiments of the present invention.
[0158] Bus 510 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 510 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.
[0159] This electronic device can execute the extreme coherent gust parameter determination method in the embodiments of the present invention, thereby achieving... Figures 2-3 The method for determining the parameters of extreme coherent gusts is described.
[0160] Furthermore, in conjunction with the extreme coherent gust parameter determination method in the above embodiments, this invention can be implemented using a readable storage medium. This readable storage medium stores program instructions; when executed by a processor, these program instructions implement any one of the extreme coherent gust parameter determination methods in the above embodiments.
[0161] Furthermore, in conjunction with the extreme coherent gust parameter determination method 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 executes any one of the extreme coherent gust parameter determination methods in the above embodiments.
[0162] 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.
[0163] 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.
[0164] 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.
[0165] 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.
[0166] 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 extreme coherent gust parameters, characterized in that, The method includes: Obtain characteristic parameters of the wind farm within a preset historical time period; wherein, the characteristic parameters include: wind speed amplitude and wind direction amplitude; The duration of extreme coherent gusts is obtained based on the sampling period of the aforementioned characteristic parameters. The wind speed amplitude during the duration is fitted to obtain a first correspondence characterizing the time and the wind speed amplitude. By fitting the wind speed amplitude and the wind direction amplitude during the specified duration, a second correspondence between the wind speed amplitude and the wind direction amplitude is obtained; Based on the first correspondence and the second correspondence, the target wind speed amplitude and target wind direction amplitude of the extreme coherent gust corresponding to the duration within the target recurrence period are obtained; After obtaining the characteristic parameters of the wind farm within a preset historical time period, the method further includes: Obtain the iteration parameters corresponding to the feature parameters; wherein the iteration parameters include: wind speed iteration parameters and wind direction iteration parameters; Before fitting the wind speed amplitude over the duration to obtain a first correspondence characterizing the relationship between time and the wind speed amplitude, the method further includes: Based on the wind speed iteration parameters and the wind speed amplitude, the wind speed amplitude of the extreme coherent gusts at each iteration is determined; The step of fitting the wind speed amplitude over the duration to obtain a first correspondence characterizing the relationship between time and the wind speed amplitude includes: The wind speed amplitude of each iteration within the duration is fitted to obtain a first correspondence between time and the wind speed amplitude. The step of determining the wind speed amplitude of the extreme coherent gust at each iteration based on the wind speed iteration parameters and the wind speed amplitude includes: Based on the wind speed iteration parameters and the wind speed amplitude, the wind speed amplitude of the extreme coherent gusts at each iteration is determined according to the following formula: V cgi =V cg -(i-1)Δv Among them, V cg The wind speed amplitude is Δv; the wind speed iteration parameter is V. cgi V represents the wind speed amplitude of the extreme coherent gust at each iteration; i is the iteration number, i = 1, 2, 3...; cgi It is greater than 0; After obtaining the iteration parameters corresponding to the feature parameters, the method further includes: Based on the wind direction iteration parameters and the wind direction amplitude, the wind direction amplitude of the extreme coherent gusts at each iteration is determined; The process of fitting the wind speed amplitude and wind direction amplitude over the specified duration to obtain a second correspondence between the wind speed amplitude and wind direction amplitude includes: By fitting the wind speed amplitude and the wind direction amplitude for each iteration within the specified duration, a second correspondence between the wind speed amplitude and the wind direction amplitude is obtained. The step of determining the wind direction amplitude of the extreme coherent gust at each iteration based on the wind direction iteration parameters and the wind direction amplitude includes: Based on the wind direction iteration parameters and the wind direction amplitude, the wind direction amplitude of the extreme coherent gust at each iteration is determined according to the following formula: D cgi =D cg -(i-1)Δd Among them, D cg The wind direction amplitude is denoted as Δd; the wind direction iteration parameter is denoted as D. cgi D represents the wind direction and amplitude of the extreme coherent gust at each iteration; i is the iteration number, i = 1, 2, 3...; cgi It is greater than 0; Where Δv≤0.1m / s, Δd≤0.1deg; Each time the wind speed amplitude is iterated, the corresponding wind direction amplitude is also iterated. Each wind speed amplitude has a corresponding wind direction amplitude, and there is a one-to-one correspondence between wind speed amplitude and wind direction amplitude.
2. The method according to claim 1, characterized in that, The step of fitting the wind speed amplitude over the duration to obtain a first correspondence characterizing the relationship between time and the wind speed amplitude includes: Given that the wind direction amplitude and wind speed amplitude are both monotonically related to time during the specified duration, the wind speed amplitude during the specified duration is fitted to obtain a first correspondence that characterizes the relationship between time and the wind speed amplitude.
3. The method according to claim 1, characterized in that, The step of obtaining the target wind speed amplitude and target wind direction amplitude of the extreme coherent gust corresponding to the duration within the target return period, based on the first correspondence relationship and the second correspondence relationship, includes: Based on the first correspondence, the target wind speed amplitude of the extreme coherent gust corresponding to the duration within the target recurrence period is obtained; 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 within the target return period is obtained.
4. A device for determining extreme coherent gust parameters, characterized in that, The device includes: The first acquisition module is used to acquire characteristic parameters of the wind farm within a preset historical time period; wherein, the characteristic parameters include: wind speed amplitude and wind direction amplitude; The first determining module is used to obtain the duration of extreme coherent gusts based on the sampling period of the characteristic parameters; The second determining module is used to fit the wind speed amplitude within the duration to obtain a first correspondence between time and wind speed amplitude. The third determining module is used to fit the wind speed amplitude and the wind direction amplitude during the duration to obtain a second correspondence between the wind speed amplitude and the wind direction amplitude. The fourth determining module is used to obtain the target wind speed amplitude and target wind direction amplitude of the extreme coherent gust corresponding to the duration within the target recurrence period, based on the first correspondence and the second correspondence. The device further includes: The second acquisition module is used to acquire the iteration parameters corresponding to the feature parameters; wherein the iteration parameters include: wind speed iteration parameters and wind direction iteration parameters. The fifth determining module is used to determine the wind speed amplitude of the extreme coherent gust at each iteration based on the wind speed iteration parameters and the wind speed amplitude. The second determining module specifically includes: The first determining unit is used to fit the wind speed amplitude of each iteration within the duration to obtain a first correspondence between time and the wind speed amplitude. The first determining unit is specifically used for: Based on the wind speed iteration parameters and the wind speed amplitude, the wind speed amplitude of the extreme coherent gusts at each iteration is determined according to the following formula: V cgi =V cg -(i-1)Δv Among them, V cg The wind speed amplitude is Δv; the wind speed iteration parameter is V. cgi V represents the wind speed amplitude of the extreme coherent gust at each iteration; i is the iteration number, i = 1, 2, 3...; cgi It is greater than 0; The device further includes: The sixth determining module is used to determine the wind direction amplitude of the extreme coherent gust at each iteration based on the wind direction iteration parameters and the wind direction amplitude. The third determining module specifically includes: The second determining unit is used to fit the wind speed amplitude and the wind direction amplitude of each iteration within the duration to obtain a second correspondence between the wind speed amplitude and the wind direction amplitude. The second determining unit is specifically used for: Based on the wind direction iteration parameters and the wind direction amplitude, the wind direction amplitude of the extreme coherent gust at each iteration is determined according to the following formula: D cgi =D cg -(i-1)Δd Among them, D cg The wind direction amplitude is denoted as Δd; the wind direction iteration parameter is denoted as D. cgi D represents the wind direction and amplitude of the extreme coherent gust at each iteration; i is the iteration number, i = 1, 2, 3...; cgi It is greater than 0; Where Δv≤0.1m / s, Δd≤0.1deg; Each time the wind speed amplitude is iterated, the corresponding wind direction amplitude is also iterated. Each wind speed amplitude has a corresponding wind direction amplitude, and there is a one-to-one correspondence between wind speed amplitude and wind direction amplitude.
5. A controller for determining extreme coherent gust parameters, characterized in that, The end-coherent gust parameter determination controller includes: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, it implements the extreme coherent gust parameter determination method as described in any one of claims 1-3.
6. 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 method for determining extreme coherent gust parameters as described in any one of claims 1-3.
7. 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 extreme coherent gust parameter determination method as described in any one of claims 1-3.
Citation Information
Patent Citations
Method for evaluating extreme coherent gust amplitude of wind direction change, and wind direction change value
CN112879242A