Typhoon working condition wind speed optimization method, system, equipment and medium

Abstract

The invention discloses a typhoon working condition wind speed optimization method, system and device and a medium, and the method comprises the steps: carrying out the typhoon simulation through employing a mesoscale weather forecast system WRF mode, and employing a wind speed field simulated by the WRF as an average wind speed; acquiring a fluctuating wind speed in a real typhoon environment; adding the average wind speed and the fluctuating wind speed in the real typhoon environment to obtain the typhoon wind speed; the typhoon wind speed is input into the CFD model, the model of the wind turbine generator is selected, pneumatic and load characteristics of all components of the wind turbine generator in the typhoon environment are obtained, the method, the system, the equipment and the medium can truly simulate a wind field of the typhoon environment, and technical support is provided for design of the typhoon-resistant offshore wind turbine generator.

Description

Technical Field

[0001] The present invention belongs to the technical field of wind power generation, and relates to a method, system, equipment and medium for optimizing wind speed under typhoon conditions. Background Art

[0002] Offshore wind energy resources are abundant and have great development potential. However, my country is located on the west coast of the Pacific Ocean and is frequently attacked by strong and super typhoons. Wind turbines are often blown down or damaged, which poses a great challenge to the development of offshore wind power. Wind turbines need to be designed according to the characteristics of typhoons to avoid damage caused by typhoons. In the design stage of wind turbines, it is often necessary to use computational fluid dynamics (CFD) models to simulate the load state of wind turbines under different working conditions.

[0003] At present, the design of typhoon-resistant wind turbines uses the typhoon extreme wind speed model as the environmental input. This wind speed model is based on the maximum 10-minute average wind speed once in 50 years, and is usually divided into two extreme wind speed levels of 55m / s and 50m / s. The Kaimal spectrum is used as the turbulence model, the turbulence intensity is 0.11, and the shear index is 0.11. Using the typhoon extreme wind speed model to design typhoon-resistant wind turbines may cause the unit safety margin to be too large, excessive redundancy and uneconomical; or cause the unit safety margin to be too small and unable to effectively resist typhoon damage. Therefore, typhoon-resistant wind turbines need to be modified according to the design environmental parameters of the specific site. The mesoscale numerical model WRF (Weather Research & Forecasting Model) is a mainstream mesoscale weather forecast system that can provide real atmospheric wind field conditions as input to the CFD model.

[0004] At present, the typhoon-resistant design of wind turbines at home and abroad is mainly based on the typhoon extreme wind speed model as the environmental input. The error is large for typhoon wind conditions in different sea areas, and it is impossible to obtain the wind field characteristics under the actual typhoon environment in actual engineering conditions.

[0005] The measured data of typhoons are relatively sparse, and only the measured wind speed at a certain point during the typhoon process can be obtained, but the wind field distribution of the entire typhoon process cannot be obtained for the design of typhoon-resistant wind turbines.

[0006] The WRF model accurately simulates the real typhoon environment, can obtain the three-dimensional wind field distribution characteristics under the real typhoon environment, and provide accurate average wind speed characteristics for the CFD model. However, the WRF model does not adequately describe the small-scale turbulence characteristics. The wind tower can capture high-frequency turbulence characteristics, but can only obtain wind speed data at a certain point where the typhoon passes, and cannot obtain the wind speed distribution characteristics in two-dimensional space, so it cannot truly simulate the wind field of the typhoon environment. Summary of the invention

[0007] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and to provide a method, system, equipment and medium for optimizing wind speed under typhoon conditions. The method, system, equipment and medium can truly simulate the wind field in a typhoon environment and provide technical support for the design of typhoon-resistant offshore wind turbines.

[0008] To achieve the above object, the present invention discloses a method for optimizing wind speed in typhoon conditions, comprising:

[0009] The mesoscale weather forecast system WRF model is used to simulate the typhoon, and the wind speed field simulated by WRF is used as the average wind speed;

[0010] Obtain the pulsating wind speed in a real typhoon environment;

[0011] Adding the average wind speed to the pulsating wind speed in a real typhoon environment to obtain the typhoon wind speed;

[0012] The typhoon wind speed is input into the CFD model, and the model of the wind turbine generator set is selected to obtain the aerodynamic and load characteristics of each component of the wind turbine generator set under the typhoon environment.

[0013] The process of obtaining the pulsating wind speed in a real typhoon environment is:

[0014] Measure the time series data of wind speed in typhoons;

[0015] Based on the measured wind speed time series data, simulating the wind power spectrum in a typhoon environment;

[0016] Perform inverse Fourier transform on the wind power spectrum to obtain the pulsating wind speed in a typhoon environment.

[0017] The measured wind speed time series data of typhoons measured by wind towers or lidar.

[0018] The process of typhoon simulation using the mesoscale weather forecast system WRF model is as follows:

[0019] Atmospheric reanalysis data are selected to provide initial and boundary conditions for the integral operation of the WRF model;

[0020] Set up the WRF model regional nested grid scheme, extract terrain data, and select the microphysical parameterization scheme and cumulus parameterization scheme;

[0021] Run real.exe to generate the final initial condition file and boundary condition file of the WRF model, run the WGF model, and obtain the typhoon simulation result wrfout file;

[0022] The wrfout wind field data is extracted from the typhoon simulation result wrfout file, the average wind speed under the integration time required for the CFD working condition is calculated by the wrfout wind field data, and then the wind profile model of the lower atmosphere is obtained by fitting.

[0023] The wind profile model of the lower atmosphere is expressed as:

[0024]

[0025] Among them, α is the parameter of the wind profile model.

[0026] The present invention discloses a typhoon condition wind speed optimization system, comprising:

[0027] The simulation module is used to simulate typhoons using the mesoscale weather forecast system WRF model, and use the wind speed field simulated by WRF as the average wind speed;

[0028] An acquisition module is used to obtain the pulsating wind speed in a real typhoon environment;

[0029] An adding module, used for adding the average wind speed to the pulsating wind speed in a real typhoon environment to obtain the typhoon wind speed;

[0030] The calculation module is used to input the typhoon wind speed into the CFD model, and select the model of the wind turbine generator set to obtain the aerodynamic and load characteristics of each component of the wind turbine generator set under the typhoon environment.

[0031] The acquisition module comprises:

[0032] The measurement module is the same as the measured wind speed time series data of the typhoon;

[0033] A first transformation module is used to simulate the wind power spectrum in a typhoon environment based on the measured wind speed time series data;

[0034] The second transformation module is used to perform inverse Fourier transformation on the wind power spectrum to obtain the pulsating wind speed in a typhoon environment.

[0035] The simulation module comprises:

[0036] The selection module is used to select atmospheric reanalysis data to provide initial conditions and boundary conditions for the integral operation of the WRF model;

[0037] The setup module is used to set the WRF model regional nested grid scheme, extract terrain data, and select the microphysical parameterization scheme and cumulus parameterization scheme;

[0038] The running module is used to run real.exe, generate the final initial condition file and boundary condition file of the WRF model, run the WGF model, and obtain the typhoon simulation result wrfout file;

[0039] The fitting module is used to extract wrfout wind field data from the typhoon simulation result wrfout file, calculate the average wind speed under the integration time required for the CFD working condition using the wrfout wind field data, and then fit the wind profile model of the lower atmosphere.

[0040] The present invention discloses a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the typhoon condition wind speed optimization method are implemented.

[0041] The present invention discloses a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the typhoon condition wind speed optimization method are implemented.

[0042] The present invention has the following beneficial effects:

[0043] The typhoon operating wind speed optimization method, system, equipment and medium described in the present invention, during specific operation, accurately simulate the real typhoon environment through the WRF mode, provide accurate average wind speed characteristics for the CFD model, and then obtain the pulsating wind speed under the real typhoon environment. Then, the two are combined to obtain a wind field close to the real typhoon environment containing large-scale, medium-scale and small-scale signals, thereby providing the CFD model with accurate wind speed input for typhoon operating conditions, which is of great significance for the design of typhoon-resistant offshore wind turbines. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] In the description of the present invention, it should be understood that the terms “include” and “comprises” indicate the presence of described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0047] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0048] It should be further understood that the term "and / or" used in the present specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in the present invention generally indicates that the associated objects are in an "or" relationship.

[0049] It should be understood that, although the terms first, second, third, etc. may be used to describe preset ranges, etc. in the embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0050] The word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0051] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention described and shown in the drawings here can usually be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0052] Various structural schematic diagrams of the embodiments disclosed in the present invention are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0053] As is known to all, typhoon refers to a tropical cyclone, a strong storm system that forms and gradually develops in tropical waters. The center of a typhoon is a low-pressure area, usually called the eye of the typhoon, surrounded by dense, spiral clouds, forming a strong storm structure. Storm clouds usually include heavy rain, thunderstorms and strong winds. Typhoons are accompanied by strong winds, with wind speeds usually exceeding 34 meters per second (about 122 kilometers per hour), and the strongest typhoon wind speeds can even reach more than 70 meters per second (about 252 kilometers per hour).

[0054] Computational Fluid Dynamics (CFD) model: is an engineering model that uses numerical simulation and calculation methods to study fluid flow, heat transfer, mass transfer and other phenomena. The CFD model solves the fluid dynamics equations, performs numerical discretization, sets the initial boundary conditions of the model, and performs numerical solutions for different physical phenomena in the fluid.

[0055] Embodiment 1

[0056] refer to Figure 1 The typhoon condition wind speed optimization method of the present invention comprises the following steps:

[0057] 1) Select a typical typhoon process in the site, and select the commonly used atmospheric reanalysis data such as ERA-Interim, ERA5, GFS, FNL, etc. with regular grids to provide the initial conditions and boundary conditions for the integral operation of the WRF (Weather Research and Forecast Model) model; set the WRF model regional nested grid scheme, extract terrain data, and select appropriate microphysical parameterization schemes and cumulus parameterization schemes. Run real.exe to generate the final initial condition file and boundary condition file of the WRF model, run the WRF model, and obtain the typhoon simulation result wrfout file.

[0058] 2) Extract the wrfout wind field data from the typhoon simulation result wrfout file, calculate the average wind speed under the integration time (such as 10 minutes) required for the CFD working condition according to the wrfout wind field data, and fit the wind profile model of the lower atmosphere according to the average wind speed under the integration time (such as 10 minutes) required for the CFD working condition:

[0059]

[0060] Wherein, α is a parameter of the wind profile model, and α is modified by the wind shear index, which is calculated by fitting the distribution of wrfout wind speed with height.

[0061] 3) Using a wind tower or laser radar to measure the measured wind speed time series data of a typhoon, based on the measured wind speed time series data, a spectral method combining isotropic turbulence theory with Monin-Obukhov similarity theory is used to simulate the wind power spectrum under the typhoon environment, and the power spectrum is inversely transformed by Fourier to obtain the pulsating wind speed under the typhoon environment;

[0062] The typhoon wind speed is obtained by adding the average wind speed to the pulsating wind speed under the typhoon environment, and then the typhoon wind speed is input into the CFD model, the model of the wind turbine is selected, the parameters of the CFD model are set, and the integral operation is performed to obtain the aerodynamic and load characteristics of the key components of the wind turbine under the typhoon environment.

[0063] It should be noted that the present invention has the following characteristics:

[0064] The present invention utilizes the WRF model to accurately simulate the real typhoon environment, provides an accurate average wind speed for the CFD model, captures high-frequency turbulence characteristics through a wind tower, and then combines the two to obtain a wind field close to the real typhoon environment containing large-scale, medium-scale and small-scale signals. Compared with the existing typhoon-resistant wind turbine design that uses the typhoon extreme wind speed model as the environmental input, resulting in too large a safety margin for the unit, excessive redundancy and uneconomical; or too small a safety margin for the unit, which cannot effectively resist typhoon damage, the present invention can obtain the real environmental input for a certain wind farm site under a typhoon environment and the impact of the typhoon environment on the wind turbine generator set, thereby designing an economical and safe typhoon-resistant wind turbine generator set.

[0065] Embodiment 2

[0066] Accordingly, the present invention discloses a typhoon condition wind speed optimization system, comprising:

[0067] The simulation module is used to simulate typhoons using the mesoscale weather forecast system WRF model, and use the wind speed field simulated by WRF as the average wind speed;

[0068] An acquisition module is used to obtain the pulsating wind speed in a real typhoon environment;

[0069] An adding module, used for adding the average wind speed to the pulsating wind speed in a real typhoon environment to obtain the typhoon wind speed;

[0070] The calculation module is used to input the typhoon wind speed into the CFD model, and select the model of the wind turbine generator set to obtain the aerodynamic and load characteristics of each component of the wind turbine generator set under the typhoon environment.

[0071] In this embodiment, the acquisition module includes:

[0072] The measurement module is the same as the measured wind speed time series data of the typhoon;

[0073] A first transformation module is used to simulate the wind power spectrum in a typhoon environment based on the measured wind speed time series data;

[0074] The second transformation module is used to perform inverse Fourier transformation on the wind power spectrum to obtain the pulsating wind speed in a typhoon environment.

[0075] In this embodiment, the simulation module includes:

[0076] The selection module is used to select atmospheric reanalysis data to provide initial conditions and boundary conditions for the integral operation of the WRF model;

[0077] The setup module is used to set the WRF model regional nested grid scheme, extract terrain data, and select the microphysical parameterization scheme and cumulus parameterization scheme;

[0078] The running module is used to run real.exe, generate the final initial condition file and boundary condition file of the WRF model, run the WGF model, and obtain the typhoon simulation result wrfout file;

[0079] The fitting module is used to extract wrfout wind field data from the typhoon simulation result wrfout file, calculate the average wind speed under the integration time required for the CFD working condition using the wrfout wind field data, and then fit the wind profile model of the lower atmosphere.

[0080] Embodiment 3

[0081] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the typhoon condition wind speed optimization method are implemented. The memory may include a memory, such as a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk memory, etc. The processor, the network interface, and the memory are interconnected through an internal bus. The internal bus may be an industrial standard architecture bus, a peripheral component interconnection standard bus, an extended industrial standard structure bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs. Specifically, the program may include a program code, and the program code includes computer operation instructions. The memory may include a memory and a non-volatile memory, and provide instructions and data to the processor.

[0082] Embodiment 4

[0083] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the typhoon condition wind speed optimization method are implemented. Specifically, the computer-readable storage medium includes, but is not limited to, for example, a volatile memory and / or a non-volatile memory. The volatile memory may include a random access memory (RAM) and / or a cache memory (cache), etc. The non-volatile memory may include a read-only memory (ROM), a hard disk, a flash memory, an optical disk, a magnetic disk, etc.

[0084] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0085] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, 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, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0086] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0087] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for optimizing wind speed in typhoon conditions, characterized in that: include: The mesoscale weather forecast system WRF model is used to simulate the typhoon, and the wind speed field simulated by WRF is used as the average wind speed; Obtain the pulsating wind speed in a real typhoon environment; Adding the average wind speed to the pulsating wind speed in a real typhoon environment to obtain the typhoon wind speed; The typhoon wind speed is input into the CFD model, and the model of the wind turbine generator set is selected to obtain the aerodynamic and load characteristics of each component of the wind turbine generator set under the typhoon environment.

2. The method for optimizing wind speed under typhoon conditions according to claim 1, characterized in that: The process of obtaining the pulsating wind speed in a real typhoon environment is: Measure the time series data of wind speed in typhoons; Based on the measured wind speed time series data, simulating the wind power spectrum in a typhoon environment; Perform inverse Fourier transform on the wind power spectrum to obtain the pulsating wind speed in a typhoon environment.

3. The method for optimizing wind speed under typhoon conditions according to claim 2, characterized in that: The measured wind speed time series data of typhoons measured by wind towers or lidar.

4. The method for optimizing wind speed under typhoon conditions according to claim 1, characterized in that: The process of typhoon simulation using the mesoscale weather forecast system WRF model is as follows: Atmospheric reanalysis data are selected to provide initial and boundary conditions for the integral operation of the WRF model; Set up the WRF model regional nested grid scheme, extract terrain data, and select the microphysical parameterization scheme and cumulus parameterization scheme; Run real.exe to generate the final initial condition file and boundary condition file of the WRF model, run the WGF model, and obtain the typhoon simulation result wrfout file; The wrfout wind field data is extracted from the typhoon simulation result wrfout file, the average wind speed under the integration time required for the CFD working condition is calculated by the wrfout wind field data, and then the wind profile model of the lower atmosphere is obtained by fitting.

5. The method for optimizing wind speed under typhoon conditions according to claim 4, characterized in that: The wind profile model of the lower atmosphere is expressed as: Among them, α is the parameter of the wind profile model.

6. A typhoon wind speed optimization system, characterized in that: include: The simulation module is used to simulate typhoons using the mesoscale weather forecast system WRF model, and use the wind speed field simulated by WRF as the average wind speed; An acquisition module is used to obtain the pulsating wind speed in a real typhoon environment; An adding module, used for adding the average wind speed to the pulsating wind speed in a real typhoon environment to obtain the typhoon wind speed; The calculation module is used to input the typhoon wind speed into the CFD model, and select the model of the wind turbine generator set to obtain the aerodynamic and load characteristics of each component of the wind turbine generator set under the typhoon environment.

7. The typhoon condition wind speed optimization system according to claim 6, characterized in that: The acquisition module comprises: The measurement module is the same as the measured wind speed time series data of the typhoon; A first transformation module is used to simulate the wind power spectrum in a typhoon environment based on the measured wind speed time series data; The second transformation module is used to perform inverse Fourier transformation on the wind power spectrum to obtain the pulsating wind speed in a typhoon environment.

8. The typhoon condition wind speed optimization system according to claim 6, characterized in that: The simulation module comprises: The selection module is used to select atmospheric reanalysis data to provide initial conditions and boundary conditions for the integral operation of the WRF model; The setup module is used to set the WRF model regional nested grid scheme, extract terrain data, and select the microphysical parameterization scheme and cumulus parameterization scheme; The running module is used to run real.exe, generate the final initial condition file and boundary condition file of the WRF model, run the WGF model, and obtain the typhoon simulation result wrfout file; The fitting module is used to extract wrfout wind field data from the typhoon simulation result wrfout file, calculate the average wind speed under the integration time required for the CFD working condition using the wrfout wind field data, and then fit the wind profile model of the lower atmosphere.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the typhoon condition wind speed optimization method are implemented as described in any one of claims 1-5.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the typhoon condition wind speed optimization method as described in any one of claims 1 to 5 are implemented.

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