CN116306252A - Pneumatic calculation model for wind turbine generator blade and construction method thereof - Google Patents
Pneumatic calculation model for wind turbine generator blade and construction method thereof Download PDFInfo
- Publication number
- CN116306252A CN116306252A CN202310135260.9A CN202310135260A CN116306252A CN 116306252 A CN116306252 A CN 116306252A CN 202310135260 A CN202310135260 A CN 202310135260A CN 116306252 A CN116306252 A CN 116306252A
- Authority
- CN
- China
- Prior art keywords
- blade
- pneumatic
- wind turbine
- mapping
- aerodynamic
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000010276 construction Methods 0.000 title claims abstract description 42
- 238000004364 calculation method Methods 0.000 title claims abstract description 22
- 238000013507 mapping Methods 0.000 claims abstract description 54
- 230000005540 biological transmission Effects 0.000 claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims description 14
- 238000004422 calculation algorithm Methods 0.000 claims description 7
- 230000002068 genetic effect Effects 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 2
- 238000006467 substitution reaction Methods 0.000 description 12
- 238000013461 design Methods 0.000 description 5
- 241001130943 Phyllanthus <Aves> Species 0.000 description 3
- 238000009826 distribution Methods 0.000 description 3
- 238000010248 power generation Methods 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- KFLQGJQSLUYUBF-WOJBJXKFSA-N Phyllanthin Chemical compound C([C@H](COC)[C@@H](COC)CC=1C=C(OC)C(OC)=CC=1)C1=CC=C(OC)C(OC)=C1 KFLQGJQSLUYUBF-WOJBJXKFSA-N 0.000 description 1
- KFLQGJQSLUYUBF-PMACEKPBSA-N Phyllanthin Natural products C([C@@H](COC)[C@H](COC)CC=1C=C(OC)C(OC)=CC=1)C1=CC=C(OC)C(OC)=C1 KFLQGJQSLUYUBF-PMACEKPBSA-N 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000009418 renovation Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/12—Computing arrangements based on biological models using genetic models
- G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/06—Wind turbines or wind farms
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Evolutionary Computation (AREA)
- Biophysics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Software Systems (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Computer Hardware Design (AREA)
- Geometry (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physiology (AREA)
- Genetics & Genomics (AREA)
- Biomedical Technology (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Wind Motors (AREA)
Abstract
The invention discloses a pneumatic calculation model of a wind turbine generator blade and a construction method thereof, and belongs to the technical field of wind power equipment. The invention comprises the following modules: and a unit model building module: an OpenFAST unit model is built through mapping target parameters and control and transmission parameters; blade aerodynamic mapping construction module: constructing through pneumatic layout of wind turbine blades; pneumatic prediction of the blade; setting a mapping target and driving a mapping automation platform to complete the construction of a pneumatic mapping construction module of the blade; the calculation execution module: processing the reference blade through the constructed blade pneumatic mapping construction platform; the invention solves the problem of poor construction accuracy of the replacement model in the prior art by adding the influence of the control and transmission parameters in the blade replacement calculation model.
Description
Technical Field
The invention belongs to the technical field of wind power equipment, and particularly relates to a pneumatic calculation model of a wind turbine generator blade and a construction method thereof.
Background
According to statistics, the wind turbine generator in 17 provincial autonomous regions in 2025 China will have full service period; during the period of fifteen five, more than 32600 wind turbines are out of service, and the single-machine capacity is 1-2 MW. Besides the full-service-period units, the design and production periods of a plurality of active wind power units are far lower than those of the existing wind power units, so that a large number of wind power units exist at present, and the wind power units are good in wind power resources, low in efficiency, low in safety performance and high in operation and maintenance cost. Therefore, the technical transformation of the old wind field is a better choice. The wind turbine generator system is technically improved, so that the operation cost of a wind power plant can be reduced, the maintenance and overhaul efficiency is improved, the labor cost and the failure rate of the wind turbine generator system are reduced, the effective working time of the wind turbine generator system is prolonged, and the power generation loss is reduced; the method can promote the renovation and upgrading of old wind turbines in the wind power industry, improve the generated energy, prolong the service life of the turbines, reduce the failure rate, relieve the difficult problem of retirement treatment of the old turbines and reduce the retirement cost.
In actual engineering, for scientifically and accurately carrying out operations such as synergy load reduction and part upgrading on a unit, simulation calculation work in the aspect of pneumatic performance is generally required to be carried out on modeling of a target unit. However, when modeling a unit, the problem of missing parameters of each component is usually caused by the reasons of closing the component manufacturer or keeping the design parameters of the component secret. In particular aerodynamic profile parameters of wind blades. For such unique problems, current solutions are very limited.
The current wind turbine generator system construction method based on the similarity criterion theory is to assume that a newly designed turbine generator system meets the condition that the tip speed ratio is the same as that of a prototype, the wing profile is the same as that of the prototype, and the blade size is changed in the same proportion as that of the prototype. Therefore, other types of units can be obtained by performing geometric scaling operation on the blades of the existing types of units. The new unit obtained by the existing method does not consider factors in the aspects of blade pneumatic layout and unit control strategy. If the method is used for constructing the substitution model, the phenomenon that the substitution unit and the target unit have larger difference in aerodynamic performance and power curves can occur, and the substitution unit model cannot be used for carrying out calculation simulation analysis on behalf of the target unit.
Disclosure of Invention
The invention aims to provide a pneumatic calculation model of a wind turbine generator blade and a construction method thereof, and solves the problem of poor construction accuracy of a replacement model in the prior art by adding control and transmission parameters to the blade replacement calculation model.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention provides a pneumatic calculation model of a wind turbine blade, which comprises the following modules:
and a unit model building module: an OpenFAST unit model is built through mapping target parameters and control and transmission parameters;
blade aerodynamic mapping construction module: constructing through pneumatic layout of wind turbine blades; pneumatic prediction of the blade; setting a mapping target and driving a mapping automation platform to complete the construction of a pneumatic mapping construction module of the blade;
the calculation execution module: and processing the reference blade through the constructed blade pneumatic mapping construction platform.
Further, the mapping target parameters include real-time wind speed, impeller rotation speed, aerodynamic power, aerodynamic torque, aerodynamic thrust.
Further, the control and transmission parameters comprise rated rotational speed, rated torque and gear box transmission ratio of the wind wheel.
Further, the blade aerodynamic mapping construction module is constructed by Isight software.
Further, the blade aerodynamic layout construction includes determination of each blade element airfoil, airfoil thickness, chord length, and twist angle parameters as follows.
Further, the aerodynamic configuration of the blade is constructed by precisely establishing reference points along a plurality of different radial positions.
Further, the blade aerodynamic prediction is used for performing prediction calculation on the performance of the wind turbine by using a Blade Element Momentum Theory (BEMT) by adding control system and transmission system parameters besides the aerodynamic performance of the wind turbine.
Further, the mapping automation platform driver adopts a global algorithm AMGA (archiving micro genetic algorithm) to continuously change the pneumatic layout parameters of the fan to search the pneumatic layout parameters of the blade with the minimum deviation from the mapping target.
The beneficial effects are that: the invention provides a mapping construction method of a pneumatic calculation substitution model of a large-scale wind turbine generator according to a phyllanthin momentum theory, which has the following beneficial effects:
1) The mapping construction method of the wind turbine generator set calculation model is established according to the momentum phyllin theory, and C is adopted on the premise that the control system and the transmission system are arranged P (λ)、C Q (λ)、C T The method comprises the steps of (lambda) associating the aerodynamic performance of the wind turbine with the aerodynamic layout of blades as a mapping reference parameter, and establishing an automatic mapping construction platform of a large-scale wind turbine aerodynamic calculation substitution model, wherein the platform can be used for carrying out simulation calculation on the aerodynamic force of a fan by establishing the substitution model through measurable and easily-collected basic fan data;
2) Compared with a target unit of the substitute unit constructed by the method provided by the invention, the deviation in the aspects of wind energy utilization coefficient, aerodynamic torque and aerodynamic power is very small, and the reliability and feasibility are very good;
3) According to the mapping construction method of the pneumatic calculation substitution model of the large wind turbine, provided by the invention, the blade can be used as a black box, a reasonable substitution model of the target turbine can be efficiently and quickly built, and aerodynamic force and power generation characteristics similar to those of the target turbine can be calculated through the substitution model; the problem of missing blade design parameters caused by the reasons of closing the component manufacturer or keeping the design parameters secret can be effectively solved.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an automated blade mapping platform map construction in accordance with the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "open," "upper," "lower," "thickness," "top," "middle," "length," "inner," "peripheral," and the like indicate orientation or positional relationships, merely for convenience in describing the present invention and to simplify the description, and do not indicate or imply that the components or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present invention.
Referring to fig. 1, the invention relates to a mapping construction method for a pneumatic calculation alternative model of a large wind turbine.
According to the momentum phyllotoxin theory, the method considers the functions of a wind turbine generator control system and a transmission system, takes an existing generator model as a reference, takes the aerodynamic characteristics of a target generator as a mapping target, and provides a set of wind turbine generator aerodynamic performance mapping construction method. According to the method, the blade can be used as a black box, a reasonable target unit substitution model can be efficiently and quickly built, and aerodynamic force and power generation characteristics similar to those of the target unit can be calculated through the substitution model.
The mapping fitting method needs to consider the functions of a plurality of systems, and the systems are mutually influenced, and the method is established by the following steps:
1) And obtaining and processing the mapping target parameters.
2) The parameters of the OpenFAST unit model, such as control and transmission, are set, and the parameters mainly comprise the gear box transmission ratio, the rated rotation speed, the rated torque and the like of the unit.
3) And processing the reference blade through the constructed blade pneumatic mapping construction platform. And obtaining a substitute model of the target unit blade.
The mapping target parameters acquired in the first step are more convenient to acquire as the data such as the specific aerodynamic shape of the wind turbine generator blade are not related. The wind turbine in the current running process is monitored in real time by the SCADA system, and the omnibearing running information of the wind turbine is recorded. Therefore, the real-time wind speed V of the target unit can be obtained by measuring and researching and processing SCADA data ∞ Basic information such as impeller rotating speed omega, pneumatic power P, pneumatic torque Q, pneumatic thrust T and the like. From the above parameters, C can be calculated from the formulas (1), (2), (3), (4) P 、C Q 、C T And tip speed ratio lambda.
Wherein ρ is the air density and R is the radius of the wind wheel;
the mapping target parameters of the wind turbine generator set and the pneumatic power C can be obtained through the steps P (lambda), aerodynamic torque C Q (lambda), aerodynamic thrust C T (λ)。
The second step is to set the substitution model according to the collected information of the transmission part and the control part of the target unit, wherein key parameters include rated rotation speed, rated torque, gear box transmission ratio and the like of the wind wheel.
And thirdly, accelerating the mapping construction efficiency, and adopting an Isight software constructed wind turbine generator blade pneumatic mapping construction platform based on a parameter optimization design theory to realize the automatic operation of the mapping process. The construction idea is based on OpenFAST software, and is combined with a self-adaptive genetic iterative algorithm, and the aerodynamic shape of the blade is used as a variable, so that the aerodynamic parameter C of the unit is set P (λ)、C Q (λ)、C T (lambda) as a mapping target, a set of automated blade mapping platforms is constructed. The map construction flow chart is shown in fig. 1.
The composition of the automatic optimization platform mainly comprises three aspects: on one hand, the pneumatic layout construction of the wind turbine generator blades is realized; on the other hand, the pneumatic prediction of the blade is realized; the last aspect is the mapping automation platform driving and mapping target setting.
1) Pneumatic layout construction of wind turbine generator blades: the aerodynamic profile of the blade is mainly determined by the wing profile, the wing profile thickness, the chord length and the torsion angle of each blade element, so that the fitting of the target blade by changing the chord length and the torsion angle distribution mode becomes a convenient operation method under the condition of not changing the wing profile and the thickness of the wind turbine blade. However, for a blade, the radial aerodynamic configuration of the blade is flexible, and the aerodynamic configuration of the blade needs to be accurately established by setting reference points along a plurality of different radial positions. In order to simplify the aerodynamic control variables, the chord length and the twist angle distribution of the blade are respectively defined by a n Is a polynomial functional representation of the coefficients.
C＝A n ·x n +A n-1 ·x n-1 +…+A 1 ·x+A 0 (5)
θ＝B n ·x n +B n-1 ·x n-1 +…+B 1 ·x+B 0 (6)
Wherein x is the distance between the reference point and the blade root, and the polynomial coefficient A n 、B n As construction control variables for chord length and torsion angle, C and θ are the chord length and torsion angle at each reference point x, respectively. Thus, the polynomial coefficient A can be controlled n 、B n To construct a new chord length twist angle distribution.
2) Pneumatic prediction of wind turbine blade: the wind turbine performance is calculated by using the theory of phyllanthus momentum (BEMT), which basically assumes that no radial interaction occurs between the airflows of the impeller adjacent to the ring, and the forces acting on the wind turbine are regarded as the integral of the airfoil lift resistance on the phyllanthus ring. The thrust T, the torque Q and the power P can be calculated by a principle integral formula of the phyllanthus momentum. In order to accurately predict the actual running condition of the wind turbine, the influence of factors such as a control system and a transmission system of an actual unit needs to be considered besides the pneumatic performance of the wind wheel. The method uses open source software OpenFAST developed by NREL (us renewable energy laboratory) for predictive computation.
3) Mapping automation platform driving and constraint condition determination: target unit C P (λ)、C Q (λ)、C T And (lambda) as a mapping target, continuously changing the aerodynamic layout of the fan by adopting a global algorithm AMGA (archiving micro genetic algorithm), and finally finding the aerodynamic layout strategy with the minimum deviation from the mapping target.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. The method for constructing the pneumatic calculation model of the wind turbine blade is characterized by comprising the following steps of:
step 1: determining mapping target parameters and constructing an OpenFAST unit model;
step 2: setting the control and transmission parameters of an OpenFAST unit model; constructing a blade pneumatic mapping construction platform;
step 3: processing the reference blade through the constructed blade pneumatic mapping construction platform;
the blade pneumatic mapping construction platform comprises the steps of constructing pneumatic layout of the blades of the wind turbine generator; pneumatic prediction of the blade is realized; the mapping automation platform drives and maps the target setting.
2. A wind turbine blade aerodynamic computation model, characterized in that the computation model comprises the following modules:
and a unit model building module: an OpenFAST unit model is built through mapping target parameters and control and transmission parameters;
blade aerodynamic mapping construction module: constructing through pneumatic layout of wind turbine blades; pneumatic prediction of the blade; setting a mapping target and driving a mapping automation platform to complete the construction of a pneumatic mapping construction module of the blade;
the calculation execution module: and processing the reference blade through the constructed blade pneumatic mapping construction platform.
3. Root of Chinese characterA wind turbine blade aerodynamic computation model according to claim 2, wherein the mapped target parameters comprise real-time wind speed V ∞ Impeller rotation speed omega, pneumatic power P, pneumatic torque Q and pneumatic thrust T.
4. A wind turbine blade aerodynamic computation model according to claim 2, characterized in that the control and transmission parameters comprise rated rotational speed of the wind wheel, rated torque, gearbox transmission ratio.
5. The wind turbine blade aerodynamic computation model of claim 2, wherein the blade aerodynamic mapping construction module is constructed by Isight software.
6. The aerodynamic computation model of a wind turbine blade of claim 2, wherein the blade aerodynamic layout construction includes determination of parameters of each blade element airfoil, airfoil thickness, chord length, and twist angle as follows.
7. The aerodynamic computation model of a wind turbine blade of claim 5, wherein the aerodynamic layout of the blade is constructed by precisely establishing reference points along a plurality of different radial positions.
8. A wind turbine blade aerodynamic computation model according to claim 6, characterized in that the blade aerodynamic prediction adds control system and drive train parameters in addition to wind turbine aerodynamic performance by using the theory of phyllin momentum (BEMT) for the predictive computation of wind turbine performance.
9. The aerodynamic computation model of a wind turbine blade according to claim 2, wherein the mapping automation platform drives to continuously change aerodynamic layout parameters of a fan to find blade aerodynamic layout parameters with minimum deviation from a mapping target by adopting a global algorithm AMGA (archive micro genetic algorithm).
10. Wind turbine blade, characterized in that the blade is calculated or designed by means of a calculation model according to one of claims 2-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310135260.9A CN116306252A (en) | 2023-02-20 | 2023-02-20 | Pneumatic calculation model for wind turbine generator blade and construction method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310135260.9A CN116306252A (en) | 2023-02-20 | 2023-02-20 | Pneumatic calculation model for wind turbine generator blade and construction method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116306252A true CN116306252A (en) | 2023-06-23 |
Family
ID=86826593
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310135260.9A Pending CN116306252A (en) | 2023-02-20 | 2023-02-20 | Pneumatic calculation model for wind turbine generator blade and construction method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116306252A (en) |
-
2023
- 2023-02-20 CN CN202310135260.9A patent/CN116306252A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Shokrzadeh et al. | Wind turbine power curve modeling using advanced parametric and nonparametric methods | |
| CN103850876B (en) | A kind of Wind turbines independent pitch control method being applicable to no-load and measuring | |
| Eke et al. | Optimization of wind turbine blades using genetic algorithm | |
| CN106870283B (en) | Variable-rate variable-pitch control method and control system for small wind driven generator for teaching | |
| Castaignet et al. | Frequency-weighted model predictive control of trailing edge flaps on a wind turbine blade | |
| US11649804B2 (en) | Systems and methods for controlling a wind turbine | |
| CN104405596A (en) | Wind turbine generator system low-wind-speed airfoil section family | |
| CN110985294A (en) | Stochastic model prediction control method for joint use of robust probability tube | |
| CN115030866A (en) | Wind power plant group control system | |
| CN112610412B (en) | Wind turbine generator blade clearance control method based on load detection | |
| CN109611268B (en) | Design optimization method for double-impeller horizontal shaft wind turbine | |
| CN116306252A (en) | Pneumatic calculation model for wind turbine generator blade and construction method thereof | |
| Xingjia et al. | Individual pitch control for variable speed turbine blade load mitigation | |
| CN103362741A (en) | Wind turbine generator set system identification method based on ADALINE technology | |
| JP6863737B2 (en) | Wind farm and how to operate it | |
| Maniaci et al. | Wind energy high-fidelity model verification and validation roadmap | |
| Oudah et al. | Wind turbines control: Features and trends | |
| CN113738597A (en) | Wind turbine power prediction method based on wind energy utilization coefficient and multivariate polynomial regression | |
| Pehlivan | A novel fuzzy logic pitch angle controller with genetic algorithm optimization for wind turbines | |
| US20230034766A1 (en) | Systems and methods for operating a wind farm | |
| JP7045294B2 (en) | Wind farm | |
| CN114000989B (en) | Wind generating set blade aerodynamic performance attenuation detection method and test system | |
| Yang et al. | Dynamic just-in-time learning based model predictive control for variable pitch wind energy conversion system | |
| El-Shahat et al. | Micro-small-scale horizontal axis wind turbine design and performance analysis for micro-grids applications | |
| Baruah et al. | Offshore wind turbine pitch control with aeroelastic effect |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |