Method, device and equipment for evaluating wind turbine clearance risk and storage medium

Abstract

The application relates to the technical field of wind power generation, and specifically discloses a wind turbine clearance risk assessment method, device, equipment and storage medium. The method comprises the following steps: obtaining a wind measurement data sample of a target site to be selected by a target wind turbine; extracting actual wind condition data of the target wind turbine at the target site from the wind measurement data sample; establishing a wind condition model of the target wind turbine at the target site based on the actual wind condition data; and performing simulation calculation on the wind condition model and a whole-machine model of the target wind turbine to obtain a clearance evaluation value of the target wind turbine. Compared with the simulation evaluation in the prior art, which uses standard specified wind conditions, the actual wind conditions of the target wind turbine at the target site are considered, so that more accurate clearance risk assessment of a specific site can be performed, the stable operation of the wind turbine is facilitated, the blade tower scanning risk can be reduced under the condition that the wind resources of the site are fully utilized, great economic losses can be avoided, and the safety of wind power generation is ensured.

Description

Technical Field

[0001] This application relates to the field of wind power generation technology, and in particular to a method, apparatus, equipment and storage medium for assessing the airspace risk of wind turbine generators. Background Technology

[0002] Clearance value refers to the distance between the blade tip of a wind turbine and the tower wall. This distance is a crucial factor in determining the safe operation of the turbine. Accurately assessing the clearance risk at the initial stage of site selection and construction is of paramount importance. As the rotor diameter increases, the blades become more flexible, leading to greater blade deformation and a higher incidence of blade swiping. To avoid this, it is necessary to analyze data obtained from preliminary anemometer measurements to more accurately understand the wind resources at the site and thus more precisely assess the turbine's clearance level.

[0003] The IEC 61400-1:2019 standard (hereinafter referred to as the "IEC Standard Comparison Table") outlines the operating conditions that need to be considered in airspace risk assessment. However, in the current issue of wind turbine site selection, complex site projects and topographical factors have a significant impact on on-site wind conditions. Using the wind conditions specified in the standard for assessment has certain limitations. Specifically, the wind condition assessment for plains areas is too conservative, while it cannot accurately assess the airspace risk for wind conditions in complex terrain. Therefore, it is difficult to achieve a good balance between fully utilizing wind resources and fully assessing airspace risk.

[0004] Providing a solution for more accurately assessing the airspace risk of wind turbines during the design of wind turbine units is a technical problem that needs to be solved by those skilled in the art. Summary of the Invention

[0005] The purpose of this application is to provide a method, apparatus, equipment and storage medium for assessing the airspace risk of wind turbine generators, which can be used to accurately assess the airspace risk of wind turbine generators during the design of wind turbine generators, so as to achieve the effect of making full use of wind resources and fully assessing airspace risk to ensure the safety of wind power generation.

[0006] To address the aforementioned technical problems, this application provides a method for assessing the airspace risk of wind turbine generators, comprising:

[0007] Obtain wind measurement data samples for the target wind turbine sites to be selected;

[0008] Based on the wind measurement data sample, extract the actual wind condition data of the target wind turbine at the target site;

[0009] The actual wind condition data is input into the initial wind condition model of the target wind turbine to obtain the wind condition model of the target wind turbine at the target site.

[0010] The net clearance assessment value of the target wind turbine is obtained by combining the wind condition model and the whole machine model of the target wind turbine through simulation calculation.

[0011] Optionally, the actual wind condition data specifically includes: extreme wind shear value, maximum wind speed variation value, air density at the hub height of each turbine location of the target wind turbine, and effective value of turbulence intensity at the hub height of each turbine location of the target wind turbine.

[0012] Wherein, the extreme wind shear value is the maximum absolute value among the average negative extreme wind shear values ​​within the first metering period, and the maximum wind speed change value is the maximum value among the maximum wind speed differences within the second metering period.

[0013] Optionally, the initial wind condition model includes a model with extreme wind shear and extreme turbulence, a model with extreme wind shear and extreme operational gusts, and a model with extreme wind shear and extreme coherent gusts.

[0014] The actual wind condition data is input into the initial wind condition model of the target wind turbine to obtain the wind condition model of the target wind turbine at the target site, specifically including:

[0015] According to the equation The wind speed models V(z) at multiple height positions are obtained by superimposing the extreme wind shear value α1 on the standard extreme turbulence model, the standard extreme operating gust model, and the standard extreme coherent gust model, respectively.

[0016] According to the equation Define the turbulence value of the standard extreme turbulence model, and substitute the wind speed model V(z) into the standard extreme turbulence model to obtain the first wind condition model V1(z,t) corresponding to the model accompanied by extreme wind shear and extreme turbulence;

[0017] According to the equation Define the gust amplitude V of the standard extreme operating gust model. gust (z), and according to the equation Define the wind speed at each height of the standard extreme operating gust model to obtain the second wind condition model V2(z,t) corresponding to the accompanying extreme wind shear and extreme operating gust model;

[0018] According to the equation Define the wind speed at each height of the standard extreme coherent gust model to obtain the third wind condition model V3(z,t) corresponding to the accompanying extreme wind shear and extreme coherent gust model;

[0019] in,

[0020] z is the height value, Vhub Let z be the wind speed at the hub height of each turbine location of the target wind turbine. hub Let c be the hub height at each turbine location of the target wind turbine, and I be a parameter extrapolated from the turbine model of the target wind turbine. ref V is a reference value for turbulence intensity. ave I is the average wind speed at the target site. eff The effective value of the turbulence intensity is given, D is the rotor diameter of the target wind turbine, T1 is the wind speed measurement period of the standard extreme operating gust model, and V is the value of the turbulence intensity. cg1 T1 represents the maximum change in wind speed, and T2 represents the second metering cycle.

[0021] Optionally, obtaining wind measurement data samples of the target site for the target wind turbine generator can be specifically described as follows:

[0022] The wind measurement data samples for a preset historical time are obtained from wind measurement towers at different heights at the target site.

[0023] Optionally, the simulation calculation is performed by combining the wind condition model and the whole model of the target wind turbine to obtain the net clearance assessment value of the target wind turbine, specifically as follows:

[0024] Multiple wind condition models are combined with the whole machine model for simulation calculations, and the minimum value among the obtained airspace values ​​is the airspace assessment value.

[0025] Optional, also includes:

[0026] Based on the aforementioned airspace assessment value and the operating condition safety factor specified in the standard, the airspace risk assessment result is obtained.

[0027] Optionally, obtaining the airspace risk assessment result based on the airspace assessment value and the standard-specified operating condition safety factor specifically includes:

[0028] According to the equation The minimum allowable airspace value B of the target wind turbine is calculated.

[0029] If the net airspace assessment value is greater than the minimum allowable net airspace value B, then the net airspace risk assessment result is determined to be that there is no net airspace safety risk.

[0030] If the airspace assessment value is less than the minimum allowable airspace value B, then the airspace risk assessment result is determined to be an airspace safety risk.

[0031] Where A is the clearance value of the target wind turbine when the blades are stationary, q1 is the operating safety factor of the target wind turbine under abnormal operating conditions, and q2 is the material coefficient of the blades of the target wind turbine.

[0032] To address the aforementioned technical problems, this application also provides an assessment device for the airspace risk of wind turbine generators, comprising:

[0033] The acquisition unit is used to acquire wind measurement data samples of the target site to be selected for the target wind turbine.

[0034] The extraction unit is used to extract the actual wind condition data of the target wind turbine at the target site based on the wind measurement data sample.

[0035] The modeling unit is used to input the actual wind condition data into the initial wind condition model of the target wind turbine to obtain the wind condition model of the target wind turbine at the target site.

[0036] The simulation unit is used to perform simulation calculations by integrating the wind condition model and the whole machine model of the target wind turbine to obtain the net airspace assessment value of the target wind turbine.

[0037] To address the aforementioned technical problems, this application also provides an assessment device for the airspace risk of wind turbine generators, comprising:

[0038] Memory, used to store computer programs;

[0039] A processor for executing the computer program, which, when executed by the processor, implements the steps of the wind turbine headspace risk assessment method as described in any of the preceding descriptions.

[0040] To address the aforementioned technical problems, this application also provides a storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the wind turbine headspace risk assessment method as described in any of the preceding claims.

[0041] The method for assessing the airspace risk of wind turbines provided in this application obtains wind measurement data samples from the target sites of the target wind turbines, extracts the actual wind condition data of the target wind turbines at the target sites, establishes a wind condition model of the target wind turbines at the target sites using the actual wind condition data, and performs simulation calculations using this wind condition model and the whole-machine model of the target wind turbines to obtain the airspace assessment value of the target wind turbines. Compared with the existing technology that uses standard wind conditions for simulation assessment, this method takes into account the actual wind conditions of the target wind turbines at the target sites, thereby enabling a more accurate airspace risk assessment for specific sites. This is beneficial to the stable operation of wind turbines, reduces the risk of blade sweeping to towers while making full use of the wind resources of the site, avoids significant economic losses, and ensures the safety of wind power generation.

[0042] This application also provides an assessment device, equipment, and storage medium for the airspace risk of wind turbine units, which has the aforementioned beneficial effects, and will not be elaborated further here. Attached Figure Description

[0043] To more clearly illustrate the technical solutions of the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 A flowchart illustrating a method for assessing the airspace risk of a wind turbine generator as provided in this application embodiment;

[0045] Figure 2 A schematic diagram of the structure of a wind turbine headroom risk assessment device provided in this application embodiment;

[0046] Figure 3 A schematic diagram of the structure of a wind turbine headroom risk assessment device provided in this application embodiment. Detailed Implementation

[0047] The core of this application is to provide a method, apparatus, equipment, and storage medium for assessing the airspace risk of wind turbine generators, which can be used to accurately assess the airspace risk of wind turbine generators during the design of wind turbine generators, so as to achieve the effect of making full use of wind resources and fully assessing airspace risk to ensure the safety of wind power generation.

[0048] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0049] Example 1

[0050] Figure 1 A flowchart illustrating a method for assessing the airspace risk of a wind turbine generator, provided as an embodiment of this application. Figure 1 As shown in the embodiments of this application, the method for assessing the airspace risk of wind turbine units includes:

[0051] S101: Obtain wind measurement data samples of the target site for the target wind turbine.

[0052] S102: Extract actual wind condition data of the target wind turbine at the target site based on wind measurement data samples.

[0053] S103: Input the actual wind condition data into the initial wind condition model of the target wind turbine to obtain the wind condition model of the target wind turbine at the target site.

[0054] S104: Simulation calculations are performed using the integrated wind condition model and the whole-machine model of the target wind turbine to obtain the net clearance assessment value of the target wind turbine.

[0055] In specific implementation, for S101, long-term wind measurement data samples of the target wind turbine at the selected target site are obtained. Specifically, this can be achieved using wind measurement data samples obtained from the wind measurement towers at the target site. The collection period can be one year. Multiple wind measurement towers of different heights are selected. To ensure sufficient acquisition of wind condition data at the target site, S101: Obtain wind measurement data samples of the target wind turbine at the selected target site. Specifically, this can be achieved by acquiring wind measurement data samples from wind measurement towers at different heights at the target site for a preset historical period.

[0056] For S102, the type of actual wind data extracted from the wind measurement data sample is determined based on the type of wind condition model to be selected. Commonly used wind condition models in the prior art include the Standard Extreme Turbulence Model (ETM), the Standard Extreme Operating Gust Model (EOG), and the Standard Extreme Coherent Gust Model (ECG), all of which are standard wind condition models provided in the IEC standard correspondence table. These models provide parameters corresponding to standard wind conditions for wind condition data such as wind shear values ​​and wind speed deviations, but these parameters are not applicable to wind condition assessment in complex terrain. Therefore, in this embodiment, for these wind condition parameters that originally used standard wind condition data, wind condition data actually measured at the target site is used.

[0057] In this embodiment of the application, the actual wind condition data may specifically include: extreme wind shear value, maximum wind speed change value, air density at the hub height of each turbine location of the target wind turbine, and effective value of turbulence intensity at the hub height of each turbine location of the target wind turbine.

[0058] Among them, the extreme wind shear value is the maximum absolute value of the average negative extreme wind shear value in the first measurement period, and the maximum wind speed change value is the maximum value of the maximum wind speed difference in the second measurement period.

[0059] Positive extreme winds refer to wind speeds that decrease closer to the ground and increase further away, while negative extreme winds are the opposite. Since the headroom risk for wind turbines under positive extreme winds is generally lower than under negative extreme winds, when considering extreme wind shear values ​​as actual wind condition data, positive extreme winds can be disregarded, and only the extreme wind shear values ​​of negative extreme winds should be considered. Because the negative extreme wind shear value is negative, the maximum negative extreme wind shear value is selected when modeling the wind condition. To ensure data accuracy, the average negative extreme wind shear value within the first measurement period is calculated as a data sample. The first measurement period can be ten minutes. The extreme wind shear value is specifically the maximum absolute value of the average negative extreme wind shear values ​​within all ten-minute intervals in the wind measurement data sample.

[0060] The maximum change in wind speed is specifically the maximum value among the maximum differences in wind speed within the second measurement period. The second measurement period can be ten seconds, which means using the maximum value among all wind speed deviations within ten seconds in the wind measurement data sample.

[0061] The air density at the hub height of each turbine location of the target wind turbine can be calculated based on the air density at different heights of the target site measured by the meteorological tower.

[0062] The effective value of turbulence intensity at the hub height of each turbine site of the target wind turbine can also be calculated based on the effective value of turbulence intensity at different heights of the target site measured by the meteorological tower.

[0063] For S103, the actual wind condition data measured in S102 is used as input into the initial wind condition model of the target wind turbine (the turbine design parameters of the target wind turbine have been entered) to obtain the wind condition model of the target wind turbine at the target site, that is, the wind speed model at different heights of the target site at different times.

[0064] To fully assess airspace risk, multiple types of initial wind condition models can be selected. After substituting the actual wind condition data into each model, multiple wind condition models can be obtained. The corresponding airspace value can then be simulated based on each wind condition model.

[0065] Specifically, for S104, based on the existing simulation model for wind turbine airspace risk assessment, the wind condition model can be obtained by using the wind condition model calculated in S103 of this application embodiment, combined with the whole model of the target wind turbine, to perform simulation calculations on various operating conditions of the target wind turbine, and obtain the airspace assessment value of the target wind turbine based on actual wind condition data.

[0066] For cases where multiple wind condition models are calculated in S103, S104: Simulation calculations are performed using the integrated wind condition model and the complete model of the target wind turbine to obtain the net clearance assessment value of the target wind turbine. Specifically:

[0067] Multiple wind condition models are combined with the whole machine model for simulation calculation, and the minimum value among the obtained airspace values ​​is taken as the airspace assessment value.

[0068] The minimum clearance value is the closest distance between the blade tip and the tower wall that the target wind turbine may have when it is operating at the target site under the unit's design parameters. If this distance meets the clearance safety requirements, it can be determined that the target wind turbine has no clearance risk at the target site; if this distance does not meet the clearance safety requirements, the target wind turbine has a clearance risk at the target site.

[0069] The method for assessing the airspace risk of wind turbines provided in this application obtains wind measurement data samples from the target site of the target wind turbine, extracts the actual wind condition data of the target wind turbine at the target site, establishes a wind condition model of the target wind turbine at the target site using the actual wind condition data, and performs simulation calculations using the wind condition model and the whole turbine model of the target wind turbine to obtain the airspace assessment value of the target wind turbine. Compared with the prior art, which uses standard wind conditions for simulation assessment, this method takes into account the actual wind conditions of the target wind turbine at the target site, thereby enabling a more accurate airspace risk assessment for a specific site. This is beneficial to the stable operation of the wind turbine, reduces the risk of blade sweeping to the tower while making full use of the wind resources of the site, avoids significant economic losses, and ensures the safety of wind power generation.

[0070] Example 2

[0071] Based on the above embodiments, this application further provides a scheme for establishing a wind condition model.

[0072] In the wind turbine headroom risk assessment method provided in this application embodiment, the initial wind condition model includes the model with extreme wind shear and extreme turbulence (ESTM), the model with extreme wind shear and extreme operating gust (ESOG), and the model with extreme wind shear and extreme coherent gust (ESCG).

[0073] Among them, the Extreme Wind Shear and Extreme Turbulence Model (ESTM) is a new turbulent wind model obtained by superimposing the measured extreme wind shear values ​​onto the standard Extreme Turbulence Model (ETM). The Extreme Wind Shear and Extreme Operating Gust Model (ESOG) is obtained by superimposing the vertical extreme wind shear EWS gust model onto the standard Extreme Operating Gust Model (EOG), with wind speeds at each height determined based on the extreme wind shear values. The Extreme Wind Shear and Extreme Coherent Gust Model (ESCG) is obtained by superimposing the vertical extreme wind shear EWS gust model onto the standard Extreme Coherent Gust Model (ECG), replacing the gust amplitude with the measured maximum wind speed variation values.

[0074] Then S103: Input the actual wind condition data into the initial wind condition model of the target wind turbine to obtain the wind condition model of the target wind turbine at the target site, which may specifically include:

[0075] According to the equation The wind speed models V(z) at multiple height positions are obtained by superimposing the extreme wind shear value α1 on the standard extreme turbulence model, the standard extreme operating gust model, and the standard extreme coherent gust model, respectively.

[0076] According to the equation Define the turbulence value of the standard extreme turbulence model, and substitute the wind speed model V(z) into the standard extreme turbulence model to obtain the first wind condition model V1(z,t) corresponding to the model with extreme wind shear and extreme turbulence;

[0077] According to the equation Define the gust amplitude V of the standard extreme operating gust model. gust (z), and according to the equation Define the wind speed at each height of the standard extreme operating gust model, and obtain the second wind condition model V2(z,t) corresponding to the extreme wind shear and extreme operating gust model;

[0078] According to the equation Define the wind speed at each height of the standard extreme coherent gust model to obtain the third wind condition model V3(z,t) corresponding to the extreme wind shear and extreme coherent gust model;

[0079] in,

[0080] z is the height value, V hub Let z be the wind speed at the hub height of each turbine location of the target wind turbine. hub Let I be the hub height at each location of the target wind turbine, and c be a parameter extrapolated from the turbine model of the target wind turbine. ref V is a reference value for turbulence intensity. ave I represents the average wind speed at the target site. effWhere is the effective value of turbulence intensity, D is the rotor diameter of the target wind turbine, T1 is the wind speed measurement period of the standard extreme operating gust model, and V is the effective value of turbulence intensity. cg1 T1 represents the maximum change in wind speed, and T2 represents the second measurement period.

[0081] In practice, the extreme wind shear values ​​are first superimposed on the standard models to obtain the wind speed model V(z) at each height of the target site. The principle of this wind speed model V(z) is to substitute the extreme wind shear values ​​at each height and then convert the wind speed at the hub height of each turbine location of the target wind turbine into the wind speed at each height.

[0082] Based on the wind speed model V(z) and various measured wind condition data, models with extreme wind shear and extreme turbulence (ESTM), extreme wind shear and extreme operating gust (ESOG), and extreme wind shear and extreme coherent gust (ESCG) were constructed on the basis of the standard extreme turbulence model (ETM), standard extreme operating gust model (EOG), and standard extreme coherent gust model (ECG). There is no sequential relationship between the creation steps of each wind condition model.

[0083] For the Extreme Wind Shear and Extreme Turbulence Model (ESTM), based on the measured average wind speed V at the target site... ave and the measured effective value of turbulence intensity I eff The turbulence values ​​of the standard Extreme Turbulence Model (ETM) are defined. The model architecture of the Extreme Wind Shear and Extreme Turbulence Model (ESTM) is the same as that of the standard Extreme Turbulence Model (ETM), the only difference being the extreme wind shear values ​​substituted into the standard Extreme Turbulence Model (ETM). The remaining calculation formulas can be found in existing descriptions of the standard Extreme Turbulence Model (ETM), and will not be repeated here. Preferably, the Extreme Wind Shear and Extreme Turbulence Model (ESTM) is used to evaluate the dlc1.3S condition with reference to the standard Extreme Turbulence Model (ETM) in the original IEC standard correspondence table.

[0084] For the Extreme Wind Shear and Extreme Operating Gust (ESOG) model, based on the existing standard Extreme Operating Gust (EOG) model, the original wind speed in the model architecture is replaced by a wind speed model V(z) and a gust amplitude V. gust(z). Since the standard extreme operating gust model (EOG) is a positive wind model, while the extreme wind shear value substituted into the wind speed model V(z) is a negative extreme wind shear value, the vertical extreme wind shear EWS gust model is superimposed to convert the negative extreme wind shear value into a positive wind before constructing the accompanying extreme wind shear and extreme operating gust model (ESOG). The remaining calculation formulas in the model can refer to the existing descriptions of the standard extreme operating gust model (EOG), and will not be repeated here. Preferably, the accompanying extreme wind shear and extreme operating gust model (ESOG) is used to evaluate the dlc1.5S condition with reference to the extreme wind shear EWS gust model in the corresponding table of the original IEC standard.

[0085] For the Extreme Wind Shear and Extreme Coherent Gust (ESCG) model, it is based on the existing standard Extreme Coherent Gust (ECG) model, with the original wind speed in the model architecture replaced by a wind speed model V(z), and the maximum wind speed change value V is substituted into the model. cg1 Instead of the wind speed difference calculated based on standard wind conditions, the remaining calculation formulas in the model can be found in existing technology for the standard extreme coherent gust model (ECG), and will not be repeated here. Preferably, the extreme wind shear and extreme coherent gust model (ESCG) are used to evaluate the dlc1.5S condition with reference to the extreme wind shear EWS gust model in the corresponding table of the original IEC standard.

[0086] After the models of extreme wind shear and extreme turbulence (ESTM), extreme wind shear and extreme operating gust (ESOG), and extreme wind shear and extreme coherent gust (ESCG) are built, three wind condition models V1(z,t), V2(z,t), and V3(z,t) are output. Each wind condition model is then combined with the whole-unit model of the target wind turbine to perform simulations under various operating conditions, outputting the corresponding headroom values. The minimum headroom value is taken as the final headroom assessment value.

[0087] The wind turbine clearance risk assessment method provided in this application provides a better calculation model for the clearance risk analysis of fixed site load assessment, and obtains the clearance simulation results of the unit under extreme conditions. This enables a more accurate clearance risk assessment for a specific site, which is conducive to the stable operation of the unit, thereby reducing the risk of tower sweeping and avoiding significant economic losses.

[0088] Example 3

[0089] Based on the above embodiments, to further facilitate users in viewing airspace risks and save manpower in airspace risk assessment, the airspace risk assessment method for wind turbine units provided in this application embodiment may further include:

[0090] The airspace risk assessment results are obtained based on the airspace assessment value and the operating condition safety factor specified in the standard.

[0091] In practical applications, the IEC standard correspondence table provides the operating safety factor of wind turbines under different operating conditions as a parameter for assessing operating risk. In the embodiments of this application, when assessing the headroom risk of the target wind turbine, it is necessary to consider that the target wind turbine is operating under extreme conditions. Therefore, the operating safety factor corresponding to the abnormal operating conditions (usually 1.1) is selected.

[0092] Based on the airspace assessment value and the operating condition safety factor specified in the standard, the airspace risk assessment result is obtained, which may specifically include:

[0093] According to the equation The minimum allowable clearance value B for the target wind turbine unit is calculated.

[0094] If the net airspace assessment value is greater than the minimum allowable net airspace value B, then the net airspace risk assessment result is determined to be that there is no net airspace safety risk.

[0095] If the net airspace assessment value is less than the minimum allowable net airspace value B, then the net airspace risk assessment result is determined to be that there is a net airspace safety risk.

[0096] Where A is the clearance value of the target wind turbine when the blades are stationary, q1 is the operating safety factor of the target wind turbine under abnormal operating conditions, and q2 is the material coefficient of the target wind turbine blades.

[0097] In practical applications, the standard provides that the operating condition safety factor q1 for the target wind turbine under abnormal operating conditions is usually 1.1, and the material coefficient q2 of the target wind turbine blade is 1.1.

[0098] The above details various embodiments of the method for assessing the airspace risk of wind turbines. Based on this, this application also discloses an apparatus, device, and storage medium for assessing the airspace risk of wind turbines corresponding to the above method.

[0099] Example 4

[0100] Figure 2 This is a schematic diagram of a wind turbine headroom risk assessment device provided in an embodiment of this application.

[0101] like Figure 2 As shown in the embodiment of this application, the wind turbine airspace risk assessment device includes:

[0102] The acquisition unit 201 is used to acquire wind measurement data samples of the target site to be selected for the target wind turbine;

[0103] Extraction unit 202 is used to extract actual wind condition data of the target wind turbine at the target site based on wind measurement data samples;

[0104] Modeling unit 203 is used to input actual wind condition data into the initial wind condition model of the target wind turbine to obtain the wind condition model of the target wind turbine at the target site.

[0105] Simulation unit 204 is used to perform simulation calculations on the integrated wind condition model and the whole model of the target wind turbine to obtain the net clearance assessment value of the target wind turbine.

[0106] Furthermore, the wind turbine airspace risk assessment device provided in this application embodiment may further include:

[0107] The assessment unit is used to obtain the airspace risk assessment results based on the airspace assessment value and the operating condition safety factor specified in the standard.

[0108] Since the embodiments of the apparatus and the embodiments of the method correspond to each other, please refer to the description of the embodiments of the method for the embodiments of the apparatus, which will not be repeated here.

[0109] Example 5

[0110] Figure 3 A schematic diagram of the structure of a wind turbine headroom risk assessment device provided in this application embodiment.

[0111] like Figure 3 As shown in the embodiment of this application, the wind turbine airspace risk assessment device includes:

[0112] Memory 310 is used to store computer program 311;

[0113] Processor 320 is configured to execute computer program 311, which, when executed by processor 320, implements the steps of the wind turbine headspace risk assessment method as described in any of the above embodiments.

[0114] The processor 320 may include one or more processing cores, such as a 3-core processor or an 8-core processor. The processor 320 may be implemented using at least one hardware form selected from Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 320 may also include a main processor and a coprocessor. The main processor, also known as a Central Processing Unit (CPU), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor 320 may integrate a Graphics Processing Unit (GPU), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, the processor 320 may also include an Artificial Intelligence (AI) processor, which handles computational operations related to machine learning.

[0115] The memory 310 may include one or more storage media, which may be non-transitory. The memory 310 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In this embodiment, the memory 310 is used to store at least the following computer program 311, which, after being loaded and executed by the processor 320, can implement the relevant steps in the wind turbine airspace risk assessment method disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 310 may also include an operating system 312 and data 313, and the storage method may be temporary storage or permanent storage. The operating system 312 may be Windows. The data 313 may include, but is not limited to, the data involved in the above methods.

[0116] In some embodiments, the wind turbine airspace risk assessment device may further include a display screen 330, a power supply 340, a communication interface 350, an input / output interface 360, a sensor 370, and a communication bus 380.

[0117] Those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the equipment for assessing the headroom risk of wind turbines and may include more or fewer components than shown.

[0118] The wind turbine airspace risk assessment device provided in this application includes a memory and a processor. When the processor executes the program stored in the memory, it can implement the wind turbine airspace risk assessment method as described above, with the same effect.

[0119] Example 6

[0120] It should be noted that the device and equipment embodiments described above are merely illustrative. For example, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or modules may be electrical, mechanical, or other forms. Modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0121] Furthermore, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0122] If the integrated modules are implemented as software functional modules and sold or used as independent products, they can be stored in a storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and executes all or part of the steps of the methods described in the various embodiments of this application.

[0123] Therefore, this application embodiment also provides a storage medium storing a computer program, which, when executed by a processor, implements steps such as a method for assessing the airspace risk of a wind turbine.

[0124] The storage medium can include various media that can store program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0125] The computer program contained in the storage medium provided in this embodiment can implement the steps of the wind turbine airspace risk assessment method described above when executed by a processor, with the same effect.

[0126] The foregoing provides a detailed description of a method, apparatus, device, and storage medium for assessing the airspace risk of wind turbine units. The various embodiments in the specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus, device, and storage medium disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to in the method section. It should be noted that those skilled in the art can make various improvements and modifications to this application without departing from the principles of this application, and these improvements and modifications also fall within the protection scope of the claims of this application.

[0127] It should also be noted that, in this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A method for assessing the airspace risk of wind turbine generators, characterized in that, include: Obtain wind measurement data samples for the target wind turbine sites to be selected; Based on the wind measurement data sample, extract the actual wind condition data of the target wind turbine at the target site; The actual wind condition data is input into the initial wind condition model of the target wind turbine to obtain the wind condition model of the target wind turbine at the target site. By combining the wind condition model and the whole model of the target wind turbine, the net clearance assessment value of the target wind turbine is obtained; The actual wind condition data specifically includes: extreme wind shear value, maximum wind speed variation value, air density at the hub height of each turbine location of the target wind turbine, and effective value of turbulence intensity at the hub height of each turbine location of the target wind turbine. Wherein, the extreme wind shear value is the maximum absolute value among the average negative extreme wind shear values ​​in the first metering period, and the maximum wind speed change value is the maximum value among the maximum wind speed differences in the second metering period; The initial wind condition model includes a model with extreme wind shear and extreme turbulence, a model with extreme wind shear and extreme operational gusts, and a model with extreme wind shear and extreme coherent gusts. The actual wind condition data is input into the initial wind condition model of the target wind turbine to obtain the wind condition model of the target wind turbine at the target site, specifically including: According to the equation The extreme wind shear values ​​were superimposed on the standard extreme turbulence model, the standard extreme operating gust model, and the standard extreme coherent gust model, respectively. Wind speed models at multiple altitude locations were obtained. ; According to the equation Define the turbulence values ​​of the standard extreme turbulence model and the wind speed model. Substituting the standard extreme turbulence model, we obtain the first wind condition model corresponding to the model accompanied by extreme wind shear and extreme turbulence. ; According to the equation Define the gust amplitude of the standard extreme operating gust model. And according to the equation Define the wind speed at each height of the standard extreme operating gust model to obtain the second wind condition model corresponding to the accompanying extreme wind shear and extreme operating gust model. ; According to the equation Define the wind speeds at each height of the standard extreme coherent gust model to obtain the third wind condition model corresponding to the accompanying extreme wind shear and extreme coherent gust model. ; in, ; For height value, The wind speed at the hub height of each turbine location of the target wind turbine unit. The hub height of each turbine location of the target wind turbine unit. These are parameters extrapolated from the model of the target wind turbine. This is a reference value for turbulence intensity. The average wind speed at the target site. The effective value of the turbulence intensity is... The diameter of the wind turbine rotor of the target wind turbine unit is given. The wind speed measurement period is the standard extreme operating gust model. This represents the maximum change in wind speed. This is the second metering cycle.

2. The evaluation method according to claim 1, characterized in that, The specific steps for obtaining wind measurement data samples for the target wind turbine site to be selected are as follows: The wind measurement data samples for a preset historical time are obtained from wind measurement towers at different heights at the target site.

3. The evaluation method according to claim 1, characterized in that, The simulation calculations are performed using the combined wind condition model and the complete model of the target wind turbine to obtain the net clearance assessment value of the target wind turbine, specifically: Multiple wind condition models are combined with the whole machine model for simulation calculations, and the minimum value among the obtained airspace values ​​is the airspace assessment value.

4. The evaluation method according to claim 1, characterized in that, Also includes: Based on the aforementioned airspace assessment value and the operating condition safety factor specified in the standard, the airspace risk assessment result is obtained.

5. The evaluation method according to claim 4, characterized in that, The process of obtaining the airspace risk assessment result based on the airspace assessment value and the standard-specified operating condition safety factor specifically includes: According to the equation The minimum allowable air clearance value of the target wind turbine was calculated. ; If the airspace assessment value is greater than the minimum allowable airspace value If so, the airspace risk assessment result is determined to be that there is no airspace safety risk; If the net air assessment value is less than the minimum allowable net air value If so, the airspace risk assessment result is determined to be that there is an airspace safety risk; in, The clearance value of the target wind turbine when the blades are stationary. The operating safety factor is the corresponding operating condition of the target wind turbine under abnormal operating conditions. is the material coefficient of the blades of the target wind turbine.

6. A device for assessing the airspace risk of wind turbine generators, characterized in that, include: The acquisition unit is used to acquire wind measurement data samples of the target site to be selected for the target wind turbine. The extraction unit is used to extract the actual wind condition data of the target wind turbine at the target site based on the wind measurement data sample. The modeling unit is used to input the actual wind condition data into the initial wind condition model of the target wind turbine to obtain the wind condition model of the target wind turbine at the target site. The simulation unit is used to perform simulation calculations by integrating the wind condition model and the whole machine model of the target wind turbine to obtain the net clearance assessment value of the target wind turbine. The actual wind condition data specifically includes: extreme wind shear value, maximum wind speed variation value, air density at the hub height of each turbine location of the target wind turbine, and effective value of turbulence intensity at the hub height of each turbine location of the target wind turbine. Wherein, the extreme wind shear value is the maximum absolute value among the average negative extreme wind shear values ​​in the first metering period, and the maximum wind speed change value is the maximum value among the maximum wind speed differences in the second metering period; The initial wind condition model includes a model with extreme wind shear and extreme turbulence, a model with extreme wind shear and extreme operational gusts, and a model with extreme wind shear and extreme coherent gusts. The actual wind condition data is input into the initial wind condition model of the target wind turbine to obtain the wind condition model of the target wind turbine at the target site, specifically including: According to the equation The extreme wind shear values ​​were superimposed on the standard extreme turbulence model, the standard extreme operating gust model, and the standard extreme coherent gust model, respectively. Wind speed models at multiple altitude locations were obtained. ; According to the equation Define the turbulence values ​​of the standard extreme turbulence model and the wind speed model. Substituting the standard extreme turbulence model, we obtain the first wind condition model corresponding to the model accompanied by extreme wind shear and extreme turbulence. ; According to the equation Define the gust amplitude of the standard extreme operating gust model. And according to the equation Define the wind speed at each height of the standard extreme operating gust model to obtain the second wind condition model corresponding to the accompanying extreme wind shear and extreme operating gust model. ; According to the equation Define the wind speeds at each height of the standard extreme coherent gust model to obtain the third wind condition model corresponding to the accompanying extreme wind shear and extreme coherent gust model. ; in, ; For height value, The wind speed at the hub height of each turbine location of the target wind turbine unit. The hub height of each turbine location of the target wind turbine unit. These are parameters extrapolated from the model of the target wind turbine. This is a reference value for turbulence intensity. The average wind speed at the target site. The effective value of the turbulence intensity is... The diameter of the wind turbine rotor of the target wind turbine unit is given. The wind speed measurement period is the standard extreme operating gust model. This represents the maximum change in wind speed. This is the second metering cycle.

7. A device for assessing the airspace risk of wind turbine generators, characterized in that, include: Memory, used to store computer programs; A processor for executing the computer program, which, when executed by the processor, implements the steps of the wind turbine headspace risk assessment method as described in any one of claims 1 to 5.

8. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the wind turbine headspace risk assessment method as described in any one of claims 1 to 5.

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