A method and system for rapid assessment of the load adaptability of a wind turbine
Through the rapid evaluation method of load adaptability of wind turbine units based on input parameters, the preset wind parameters and parameterized load evaluation model are used to solve the problem of low load evaluation efficiency of the existing technology stroke wind turbine units, and the rapid and accurate load adaptability evaluation is achieved, and the evaluation efficiency is improved.
Patent Information
- Application Number
- CN201811423146.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2018-11-27
- Publication Date
- 2025-07-01
- Estimated Expiration
- 2038-11-27
AI Technical Summary
The existing wind turbine load adaptability evaluation method requires load calculation and verification for specific environmental parameters, which consumes high time and labor costs and is low in efficiency.
A rapid evaluation method for load adaptability of wind turbine units based on input parameters is proposed. The wind parameter value of wind turbine units is obtained by preset wind parameters and brought into the pre-established parameterized load evaluation model of wind turbine units to obtain the load design simulation results, and then the load adaptability is evaluated.
It realizes rapid evaluation of load adaptability of wind turbine units, improves the efficiency of load analysis and calculation, reduces time and labor costs, and is of great significance to the optimization of wind turbine design parameters.
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Figure CN111310292B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of new energy, and particularly to a method for rapidly evaluating the load adaptability of a wind turbine. Background Art
[0002] As one of the power generation methods with the most mature technology, the largest scale of development and the most promising commercial development prospects in the development of renewable energy, wind power generation has attracted more and more attention from countries around the world and has been widely developed and applied due to its outstanding role in reducing environmental pollution, adjusting the energy structure, and solving the electricity consumption problems of residents in remote areas. In recent years, the development of wind power generation has been booming, with the installed capacity of wind turbines doubling every year, and the safe operation structure of wind turbines has gradually become the focus of attention of wind turbine manufacturers, owners and investors. The assessment of the safe operation structure of wind turbines depends on the fatigue and ultimate load evaluation of each main structural component of the wind turbine.
[0003] With the continuous increase of the installed capacity of wind turbines, the terrain and geomorphology of wind farms are becoming more and more complex. The wind parameters (such as wind speed characteristics, wind shear, inflow angle, yaw error, turbulence, pitch rate, wind speed distribution, etc.) at different turbine positions in the same wind farm vary greatly, resulting in different performances of the same type of wind turbines at different turbine positions in the same wind farm. Whether the same type of wind turbines can adapt to the load conditions at different turbine positions in the whole wind farm requires in-depth evaluation. During the preliminary planning and construction period of the wind farm and the bidding stage of wind turbines, wind turbine manufacturers often calculate the ultimate load conditions based on the wind parameters of the whole wind farm and check the safety and reliability of wind turbines based on the results of ultimate conditions. However, obviously, this ultimate load checking mode has certain limitations. It is necessary to quickly and accurately calculate and evaluate the actual load conditions at each turbine position in the wind farm through the existing load simulation calculation results based on a certain wind parameter, and then evaluate the ultimate and fatigue loads of each component of the wind turbine, that is, to evaluate whether the designed load of the wind turbine can adapt to the relevant parameters at the turbine position. Summary of the Invention
[0004] The existing evaluation of the load adaptability of wind turbines requires load calculation and checking for specific environmental parameters, which consumes a large amount of time and labor costs and has low efficiency. This patent proposes a method for rapidly evaluating the load adaptability of wind turbines based on input parameters, which is of great significance for rapidly evaluating the load adaptability of the same wind turbine at different turbine positions in the same wind farm or different wind farms.
[0005] The technical solution provided by the present invention is as follows:
[0006] A method for rapidly evaluating the load adaptability of a wind turbine, comprising:
[0007] Obtain the wind parameter values of the wind turbine based on the preset wind parameters;
[0008] Substitute the wind parameter values of the wind turbine into the pre-established parametric load evaluation model of the wind turbine to obtain the wind turbine load design simulation results based on each wind parameter;
[0009] Evaluate the load adaptability of the existing design of the wind turbine based on the wind turbine load design simulation results;
[0010] The parametric load evaluation model of the wind turbine includes: a basic database of the fatigue load and ultimate load of the wind turbine based on the preset wind parameters, and a load contribution model of the fatigue load and ultimate load varying with parameters;
[0011] The wind parameters include: wind speed, wind shear, turbulence intensity, wind speed distribution, pitch rate, yaw error, and inflow angle.
[0012] Preferably, the establishment of the parametric load evaluation model of the wind turbine includes:
[0013] According to the wind turbine design software model, establish a basic database of the fatigue load and ultimate load of the wind turbine under different design conditions and different wind speed conditions based on different wind parameters;
[0014] Using the positive definite law, based on the basic database of the fatigue load and ultimate load of the wind turbine, obtain a load contribution model of the fatigue load and ultimate load varying with parameters;
[0015] Based on the load contribution model of the fatigue load and ultimate load varying with parameters, obtain the parametric load evaluation model of the wind turbine through orthogonal analysis.
[0016] Furthermore, the parametric load evaluation model of the wind turbine is as follows:
[0017]
[0018] Among them, f(WindS, WindSH, WindD, PitchR, YawEr, Inflow) is the parametric load evaluation model of the wind turbine, f0(WT) is the basic database of the fatigue and ultimate loads of the wind turbine, f0(WindS) is the basic database of the fatigue and ultimate loads of the wind turbine based on wind speed, f0(WindSH) is the basic database of the fatigue and ultimate loads of the wind turbine based on wind shear, f0(Turb) is the basic database of the fatigue and ultimate loads of the wind turbine based on turbulence intensity, f0(WindD) is the basic database of the fatigue and ultimate loads of the wind turbine based on wind speed distribution, f0(PitchR) is the basic database of the fatigue and ultimate loads of the wind turbine based on pitch rate, f0(YawEr) is the basic database of the fatigue and ultimate loads of the wind turbine based on yaw error, and f0(Inflow) is the basic database of the fatigue and ultimate loads of the wind turbine based on inflow angle;
[0019] f1(WindS) is the contribution model of the fatigue and ultimate loads of the wind turbine based on wind speed parameters, f2(WindSH) is the contribution model of the fatigue and ultimate loads of the wind turbine based on wind shear parameters, f3(Turb) is the contribution model of the fatigue and ultimate loads of the wind turbine based on turbulence intensity parameters, f4(WindD) is the contribution model of the fatigue and ultimate loads of the wind turbine based on wind speed distribution parameters, f5(PitchR) is the contribution model of the fatigue and ultimate loads of the wind turbine based on pitch rate parameters, f6(YawEr) is the contribution model of the fatigue and ultimate loads of the wind turbine based on yaw error parameters, and f7(Inflow) is the contribution model of the fatigue and ultimate loads of the wind turbine based on inflow angle parameters.
[0020] Furthermore, the contribution model f1(WindS) of the fatigue and ultimate loads of the wind turbine based on wind speed parameters is as follows:
[0021]
[0022]
[0023] Among them, α ij 、β ij 、γ ij 、 η ij 、θ ij are positive definite coefficients.
[0024] Furthermore, the contribution model f2(WindSH) of the fatigue and ultimate loads of the wind turbine based on wind shear parameters is as follows:
[0025]
[0026] Among them, αij 、 β ij 、 γ ij 、 η ij 、 θ ij are positive definite coefficients.
[0027] Further, the wind turbine fatigue and ultimate load contribution model f3(Turb) based on the turbulence intensity parameter is as follows:
[0028]
[0029] where α ij 、 β ij 、 γ ij 、 η ij 、 θ ij are positive definite coefficients.
[0030] Further, the wind turbine fatigue and ultimate load contribution model f4(WindD) based on the wind speed distribution parameter is as follows:
[0031]
[0032]
[0033] where α ij 、 β ij 、 γ ij 、 η ij 、 θ ij are positive definite coefficients.
[0034] Further, the wind turbine fatigue and ultimate load contribution model f5(PitchR) based on the pitch rate parameter is as follows:
[0035]
[0036]
[0037] where α ij 、 β ij 、 γ ij 、 η ij 、 θ ij are positive definite coefficients.
[0038] Further, the wind turbine fatigue and ultimate load contribution model f6(YawEr) based on the yaw error parameter is as follows:
[0039]
[0040]
[0041] Among them, α ij , β ij , γ ij , η ij , θ ij are positive definite coefficients.
[0042] Furthermore, the fatigue and ultimate load contribution model f7(Inflow) of the wind turbine based on the inflow angle parameter is as follows:
[0043]
[0044] Among them, α ij , β ij , γ ij , η ij , θ ij are positive definite coefficients.
[0045] A rapid evaluation system for the load adaptability of a wind turbine, the system includes:
[0046] An evaluation model establishment module and a load evaluation module;
[0047] The evaluation model establishment module, based on the wind parameters of the wind turbine, establishes a parametric load evaluation model for the wind turbine;
[0048] The load evaluation module substitutes the wind parameters of the wind turbine into the parametric load evaluation model of the wind turbine to obtain the design load evaluation result of the wind turbine, and evaluates the load adaptability of the wind turbine based on the load design simulation result of the wind turbine.
[0049] The evaluation model establishment module includes: a load basic database unit, a load contribution model unit, and a load evaluation model unit;
[0050] The load basic database unit is used to establish a basic database of fatigue loads and ultimate loads of the wind turbine under different design conditions and different wind speed conditions based on parameters according to the design software model of the wind turbine;
[0051] The load contribution model unit is used to obtain a load contribution model of fatigue loads and ultimate loads varying with parameters based on the basic database of fatigue loads and ultimate loads of the wind turbine by using the positive definite law;
[0052] The load evaluation model unit is used to obtain a parametric load evaluation model of the wind turbine based on the load contribution model of fatigue loads and ultimate loads varying with parameters.
[0053] The load evaluation module includes: a calculation unit and an evaluation unit;
[0054] The calculation unit calculates load simulation results based on different wind parameters based on a load evaluation model;
[0055] The evaluation unit is used to evaluate the load adaptability of the wind turbine based on the load simulation results.
[0056] Compared with the prior art, the beneficial effects of the present invention are:
[0057] The present invention provides a method for quickly evaluating the load adaptability of a wind turbine. Based on preset wind parameters, the wind parameter values of the wind turbine are obtained; the wind parameter values of the wind turbine are substituted into a pre-established parametric load evaluation model of the wind turbine to obtain the load design simulation results of the wind turbine based on each wind parameter; based on the load design simulation results of the wind turbine, the load adaptability of the existing design of the wind turbine is evaluated; the parametric load evaluation model of the wind turbine includes: a basic database of the fatigue load and ultimate load of the wind turbine based on preset wind parameters, and a load contribution model of the fatigue load and ultimate load varying with parameters; the wind parameters include: wind speed, wind shear, turbulence intensity, wind speed distribution, pitch rate, yaw error, and inflow angle. The technical solution provided by the present invention gives a method for quickly evaluating the load adaptability of a wind turbine based on input parameters, which is of great significance for quickly evaluating the load adaptability of the same wind turbine at different machine positions in the same wind farm or different wind farms.
[0058] The technical solution provided by the present invention, based on the established model, solves the problem of evaluating the load adaptability of a wind turbine, improves the efficiency of load analysis and calculation, and has important reference significance for optimizing the design parameters of a wind turbine.
[0059] The technical solution provided by the present invention is based on a load orthogonal linearization model. By establishing a basic load database of a wind turbine, combining the comparative analysis of the database under the condition of parameter change, establishing a load contribution model of each parameter to the fatigue and ultimate load of the wind turbine, and using the means of regular analysis, a transfer model of the ultimate and fatigue load is established, so as to realize the rapid and accurate output of the fatigue and ultimate load of the wind turbine under different input parameter conditions, and can greatly improve the efficiency of evaluating the load adaptability of the wind turbine. BRIEF DESCRIPTION OF THE DRAWINGS
[0060] Figure 1 is a flowchart of the implementation of a method for quickly evaluating the load adaptability of a wind turbine according to the present invention;
[0061] Figure 2 is a flowchart of the quick evaluation of the load adaptability of a wind turbine in an embodiment of the present invention;
[0062] Figure 3Schematic diagram of the structure of a rapid evaluation system for the load adaptability of a wind turbine generator set according to the present invention. Specific embodiments
[0063] To better understand the present invention, the present invention will be further described in detail below with reference to the accompanying drawings of the specification and examples. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts shall fall within the scope of protection of the present invention.
[0064] Embodiment 1:
[0065] A rapid evaluation method for the load adaptability of a wind turbine generator set provided by an embodiment of the present invention, the specific implementation process of which is as Figure 1 shown, including:
[0066] S101: Based on preset wind parameters, obtain the numerical values of the wind parameters of the wind turbine generator set;
[0067] S102: Substitute the numerical values of the wind parameters of the wind turbine generator set into a pre-established parametric load evaluation model of the wind turbine generator set to obtain the load design simulation results of the wind turbine generator set based on each wind parameter;
[0068] S103: Based on the load design simulation results of the wind turbine generator set, evaluate the load adaptability of the existing design of the wind turbine generator set.
[0069] Specifically, in step S102, substituting the numerical values of the wind parameters of the wind turbine generator set into a pre-established parametric load evaluation model of the wind turbine generator set to obtain the load design simulation results of the wind turbine generator set based on each wind parameter includes the following contents:
[0070] Step S102-1: Based on the software model of the wind turbine generator set, calculate the fatigue load and ultimate load result databases under different design conditions and different wind speed conditions; and based on the changes of parameters, obtain the fatigue load and ultimate load result databases f0(WindS), f0(WindSH), f0(Turb), f0(WindD), f0(PitchR), f0(YawEr), f0(Inflow), f0(WT) under different design conditions and different wind speed conditions under different parameter change situations;
[0071] Step S102-2: Use the positive definite law to establish load contribution models f1(WindS), f1(WindSH), f1(Turb), f1(WindD), f1(PitchR), f1(YawEr), f1(Inflow) of the fatigue load and ultimate load changing with parameters;
[0072] Step S102-3, based on the load contribution models with different parameters, the parametric load assessment model of the wind turbine is obtained as follows:
[0073]
[0074] Among them,
[0075]
[0076]
[0077]
[0078]
[0079]
[0080]
[0081]
[0082] In the formula:
[0083] f0(WindS): The basic database of fatigue and ultimate loads of wind turbines based on wind speed;
[0084] f0(WindSH): The basic database of fatigue and ultimate loads of wind turbines based on wind shear;
[0085] f0(Turb): The basic database of fatigue and ultimate loads of wind turbines based on turbulence intensity;
[0086] f0(WindD): The basic database of fatigue and ultimate loads of wind turbines based on wind speed distribution;
[0087] f0(PitchR): The basic database of fatigue and ultimate loads of wind turbines based on pitch rate;
[0088] f0(YawEr): The basic database of fatigue and ultimate loads of wind turbines based on yaw error;
[0089] f0(Inflow): The basic database of fatigue and ultimate loads of wind turbines based on inflow angle;
[0090] f0(WT): The basic database of fatigue and ultimate loads of wind turbines;
[0091] f1(WindS): The load contribution model of fatigue and ultimate loads of wind turbines based on wind speed parameters;
[0092] f2(WindSH): The load contribution model of fatigue and ultimate loads of wind turbines based on wind shear parameters;
[0093] f3(Turb): Wind turbine fatigue and ultimate load contribution model based on turbulence intensity parameter;
[0094] f4(WindD): Wind turbine fatigue and ultimate load contribution model based on wind speed distribution parameter;
[0095] f5(PitchR): Wind turbine fatigue and ultimate load contribution model based on pitch rate parameter;
[0096] f6(YawEr): Wind turbine fatigue and ultimate load contribution model based on yaw error parameter;
[0097] f7(Inflow): Wind turbine fatigue and ultimate load contribution model based on inflow angle parameter.
[0098] Embodiment 2:
[0099] Based on the same inventive concept, the present invention also provides a wind turbine load adaptability rapid evaluation system, as Figure 3 shown, the system includes: an evaluation model establishment module and a load evaluation module;
[0100] The evaluation model establishment module, based on the wind parameters of the wind turbine, establishes a parametric load evaluation model for the wind turbine;
[0101] The load evaluation module inputs the wind parameters of the wind turbine into the parametric load evaluation model of the wind turbine to obtain the design load evaluation result of the wind turbine, and evaluates the load adaptability of the wind turbine based on the load design simulation result of the wind turbine.
[0102] The evaluation model establishment module includes: a load basic database unit, a load contribution model unit, and a load evaluation model unit;
[0103] The load basic database unit is used to establish a basic database of wind turbine fatigue loads and ultimate loads under different design conditions and different wind speed conditions based on parameters according to the wind turbine design software model;
[0104] The load contribution model unit is used to obtain a load contribution model of fatigue loads and ultimate loads varying with parameters based on the basic database of wind turbine fatigue loads and ultimate loads by using the positive definite law;
[0105] The load evaluation model unit is used to obtain a parametric load evaluation model of the wind turbine based on the load contribution model of fatigue loads and ultimate loads varying with parameters.
[0106] The load evaluation module includes: a calculation unit and an evaluation unit;
[0107] The calculation unit calculates load simulation results based on different wind parameters based on the load evaluation model;
[0108] The evaluation unit is used to evaluate the load adaptability of the wind turbine based on the load simulation results.
[0109] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0110] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of the processes and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.
[0111] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured product including an instruction device, and the instruction device implements the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.
[0112] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.
[0113] The above are only embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included within the scope of the claims of the present invention pending approval.
Claims
1. A rapid evaluation method for the load adaptability of a wind turbine, characterized in that, Including: Obtain the wind parameter values of the wind turbine based on preset wind parameters; Substitute the wind parameter values of the wind turbine into the pre-established parametric load evaluation model of the wind turbine to obtain the wind turbine load design simulation results based on each wind parameter; Evaluate the load adaptability of the existing design of the wind turbine based on the wind turbine load design simulation results; The parametric load evaluation model of the wind turbine includes: a basic database of the fatigue load and ultimate load of the wind turbine based on preset wind parameters, and a load contribution model of the fatigue load and ultimate load varying with parameters; The wind parameters include: wind speed, wind shear, turbulence intensity, wind speed distribution, pitch rate, yaw error, inflow angle; The establishment of the parametric load evaluation model of the wind turbine includes: According to the wind turbine design software model, establish a basic database of the fatigue load and ultimate load of the wind turbine under different design conditions and different wind speed conditions based on different wind parameters; Using the positive definite law, based on the basic database of the fatigue load and ultimate load of the wind turbine, obtain a load contribution model of the fatigue load and ultimate load varying with parameters; Based on the load contribution model of the fatigue load and ultimate load varying with parameters, obtain the parametric load evaluation model of the wind turbine through orthogonal analysis; The parametric load evaluation model of the wind turbine is as follows: Where f(WindS,WindSH,WindD,PitchR,YawEr,Inflow) is the parametric load evaluation model of the wind turbine, f0(WT) is the basic database of the fatigue and ultimate load of the wind turbine, f0(WindS) is the basic database of the fatigue and ultimate load of the wind turbine based on wind speed, f0(WindSH) is the basic database of the fatigue and ultimate load of the wind turbine based on wind shear, f0(Turb) is the basic database of the fatigue and ultimate load of the wind turbine based on turbulence intensity, f0(WindD) is the basic database of the fatigue and ultimate load of the wind turbine based on wind speed distribution, f0(PitchR) is the basic database of the fatigue and ultimate load of the wind turbine based on pitch rate, f0(YawEr) is the basic database of the fatigue and ultimate load of the wind turbine based on yaw error, f0(Inflow) is the basic database of the fatigue and ultimate load of the wind turbine based on inflow angle; f1(WindS) is the load contribution model of the fatigue and ultimate load of the wind turbine based on wind speed parameters, f2(WindSH) is the load contribution model of the fatigue and ultimate load of the wind turbine based on wind shear parameters, f3(Turb) is the load contribution model of the fatigue and ultimate load of the wind turbine based on turbulence intensity parameters, f4(WindD) is the load contribution model of the fatigue and ultimate load of the wind turbine based on wind speed distribution parameters, f5(PitchR) is the load contribution model of the fatigue and ultimate load of the wind turbine based on pitch rate parameters, f6(YawEr) is the load contribution model of the fatigue and ultimate load of the wind turbine based on yaw error parameters, f7(Inflow) is the load contribution model of the fatigue and ultimate load of the wind turbine based on inflow angle parameters.
2. The rapid evaluation method for the load adaptability of a wind turbine unit according to claim 1, wherein the fatigue and ultimate load contribution model f1(WindS) of the wind turbine unit based on wind speed parameters is as follows: Among them, α ij , β ij , γ ij , η ij , θ ij are positive definite coefficients.
3. The rapid evaluation method for the load adaptability of a wind turbine unit according to claim 1, wherein the fatigue and ultimate load contribution model f2(WindSH) of the wind turbine unit based on wind shear parameters is as follows: Among them, α ij , β ij , γ ij , η ij , θ ij are positive definite coefficients.
4. The rapid evaluation method for the load adaptability of a wind turbine unit according to claim 1, wherein the fatigue and ultimate load contribution model f3(Turb) of the wind turbine unit based on turbulence intensity parameters is as follows: Among them, α ij , β ij , γ ij , η ij , θ ij are positive definite coefficients.
5. The rapid evaluation method for the load adaptability of a wind turbine unit according to claim 1, wherein the fatigue and ultimate load contribution model f4(WindD) of the wind turbine unit based on wind speed distribution parameters is as follows: Among them, α ij , β ij , γ ij , η ij , θ ij are positive definite coefficients.
6. The rapid evaluation method for the load adaptability of a wind turbine unit according to claim 1, wherein the fatigue and ultimate load contribution model f5(PitchR) of the wind turbine unit based on pitch rate parameters is as follows: Among them, α ij , β ij , γ ij , η ij , θ ij are positive definite coefficients.
7. The rapid evaluation method for the load adaptability of a wind turbine unit according to claim 1, wherein the fatigue and ultimate load contribution model f6(YawEr) of the wind turbine unit based on yaw error parameters is as follows: Among them, α ij , β ij , γ ij , η ij , θ ij are positive definite coefficients.
8. The rapid evaluation method for the load adaptability of a wind turbine unit according to claim 1, wherein the fatigue and ultimate load contribution model f7(Inflow) of the wind turbine unit based on inflow angle parameters is as follows: Among them, α ij , β ij , γ ij , η ij , θ ij are positive definite coefficients.
9. A fast evaluation system for the load adaptability of a wind turbine, characterized in that, including: an evaluation model establishment module and a load evaluation module; The evaluation model establishment module, based on the wind parameters of the wind turbine unit, establishes a parametric load evaluation model for the wind turbine unit; The load evaluation module, substitutes the wind parameters of the wind turbine unit into the parametric load evaluation model of the wind turbine unit to obtain the design load evaluation result of the wind turbine unit, and evaluates the load adaptability of the wind turbine unit based on the load design simulation result of the wind turbine unit; The evaluation model establishment module includes: a load basic database unit, a load contribution model unit, and a load evaluation model unit; The load basic database unit is used to establish a basic database of the fatigue load and ultimate load of the wind turbine unit under different design conditions and different wind speed conditions based on parameters according to the design software model of the wind turbine unit; The load contribution model unit is used to obtain a load contribution model in which the fatigue load and ultimate load change with parameters based on the basic database of the fatigue load and ultimate load of the wind turbine unit by using the positive definite rule; The load evaluation model unit is used to obtain a parametric load evaluation model for the wind turbine unit based on the load contribution model in which the fatigue load and ultimate load change with parameters; The parametric load evaluation model of the wind turbine unit is as follows: Among them, f(WindS, WindSH, WindD, PitchR, YawEr, Inflow) is a parametric load evaluation model for wind turbines, f0(WT) is a basic database for wind turbine fatigue and ultimate loads, f0(WindS) is a basic database for wind turbine fatigue and ultimate loads based on wind speed, f0(WindSH) is a basic database for wind turbine fatigue and ultimate loads based on wind shear, f0(Turb) is a basic database for wind turbine fatigue and ultimate loads based on turbulence intensity, f0(WindD) is a basic database for wind turbine fatigue and ultimate loads based on wind speed distribution, f0(PitchR) is a basic database for wind turbine fatigue and ultimate loads based on pitch rate, f0(YawEr) is a basic database for wind turbine fatigue and ultimate loads based on yaw error, and f0(Inflow) is a basic database for wind turbine fatigue and ultimate loads based on inflow angle; f1(WindS) is a contribution model for wind turbine fatigue and ultimate loads based on wind speed parameters, f2(WindSH) is a contribution model for wind turbine fatigue and ultimate loads based on wind shear parameters, f3(Turb) is a contribution model for wind turbine fatigue and ultimate loads based on turbulence intensity parameters, f4(WindD) is a contribution model for wind turbine fatigue and ultimate loads based on wind speed distribution parameters, f5(PitchR) is a contribution model for wind turbine fatigue and ultimate loads based on pitch rate parameters, f6(YawEr) is a contribution model for wind turbine fatigue and ultimate loads based on yaw error parameters, and f7(Inflow) is a contribution model for wind turbine fatigue and ultimate loads based on inflow angle parameters.
10. The wind turbine load adaptability rapid evaluation system according to claim 9, wherein The load evaluation module includes: a calculation unit and an evaluation unit; The calculation unit calculates load simulation results based on different wind parameters based on the load evaluation model; The evaluation unit is used to evaluate the load adaptability of the wind turbine based on the load simulation results.
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