CN111963389A - Multi-field coupling high-precision complete machine model building method for low-wind-speed wind turbine generator - Google Patents
Multi-field coupling high-precision complete machine model building method for low-wind-speed wind turbine generator Download PDFInfo
- Publication number
- CN111963389A CN111963389A CN202010907988.5A CN202010907988A CN111963389A CN 111963389 A CN111963389 A CN 111963389A CN 202010907988 A CN202010907988 A CN 202010907988A CN 111963389 A CN111963389 A CN 111963389A
- Authority
- CN
- China
- Prior art keywords
- model
- modeling
- wind
- wind turbine
- turbine generator
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 58
- 230000008878 coupling Effects 0.000 title claims abstract description 40
- 238000010168 coupling process Methods 0.000 title claims abstract description 40
- 238000005859 coupling reaction Methods 0.000 title claims abstract description 40
- 238000004088 simulation Methods 0.000 claims abstract description 14
- 230000010354 integration Effects 0.000 claims abstract description 5
- 230000005611 electricity Effects 0.000 claims abstract description 4
- 238000005094 computer simulation Methods 0.000 claims description 19
- 238000009826 distribution Methods 0.000 claims description 14
- 238000004519 manufacturing process Methods 0.000 claims description 7
- 229910000831 Steel Inorganic materials 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 6
- 230000006870 function Effects 0.000 claims description 6
- 230000009467 reduction Effects 0.000 claims description 6
- 239000010959 steel Substances 0.000 claims description 6
- 230000001427 coherent effect Effects 0.000 claims description 5
- 230000009471 action Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 claims description 3
- 238000012546 transfer Methods 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 2
- 238000004458 analytical method Methods 0.000 abstract description 4
- 239000011295 pitch Substances 0.000 description 31
- 238000013461 design Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 4
- 239000000463 material Substances 0.000 description 4
- 238000006073 displacement reaction Methods 0.000 description 3
- 230000005284 excitation Effects 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 238000010248 power generation Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000001808 coupling effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012821 model calculation Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000013433 optimization analysis Methods 0.000 description 1
- 238000013021 overheating Methods 0.000 description 1
- 230000003647 oxidation Effects 0.000 description 1
- 238000007254 oxidation reaction Methods 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 238000007789 sealing Methods 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D13/00—Assembly, mounting or commissioning of wind motors; Arrangements specially adapted for transporting wind motor components
- F03D13/20—Arrangements for mounting or supporting wind motors; Masts or towers for wind motors
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/022—Adjusting aerodynamic properties of the blades
- F03D7/0224—Adjusting blade pitch
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/04—Automatic control; Regulation
- F03D7/042—Automatic control; Regulation by means of an electrical or electronic controller
- F03D7/043—Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic
- F03D7/045—Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic with model-based controls
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/728—Onshore wind turbines
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Fluid Mechanics (AREA)
- Wind Motors (AREA)
Abstract
The invention discloses a multi-field coupling high-precision complete machine model building method for a low-wind-speed wind turbine generator, which comprises the following steps: (1) reasonably simplifying a physical prototype of the whole wind turbine generator system to obtain a model topological graph of the whole wind turbine generator system, and establishing a mathematical-physical model of the wind turbine generator; (2) dispersing all systems in a physical prototype of the whole system of the wind turbine generator, introducing a finite element method, and establishing a rigid-flexible coupling mechanical model by combining a multi-body dynamics method; (3) respectively simplifying and modeling external environment, electric, hydraulic and control systems; (4) a high-precision wind generating set model of a mechanical-electric-hydraulic-control internal multi-element coupling type is established through integration. The invention establishes a mechanical-electrical-hydraulic-control internal multi-element coupling type high-precision wind turbine generator set model, realizes comprehensive deconstruction and complete analysis of high-precision and multi-dimensional dynamic characteristics of the whole life cycle of the generator set, realizes accurate load simulation of the generator set, and achieves the aim of reducing the electricity consumption cost of the generator set.
Description
Technical Field
The invention relates to the technical field of wind turbine generator simulation models, in particular to a multi-field coupling high-precision complete machine model building method for a low-wind-speed wind turbine generator.
Background
Along with the continuous expansion of the installed quantity of the wind generating sets, the capacity of a single machine and the diameter of a wind wheel are continuously increased, and higher requirements are provided for the adaptability and the reliability of the wind generating sets. The safety and reliability of the wind turbine unit face the threat of environmental factors such as high temperature, humidity, salt fog, earthquake, ultraviolet rays, thunder and lightning, typhoon and the like. The existing wind turbine generator set and parts are generally independently designed, the safety and the generating capacity of the generator set are mainly concerned, and the problems of relatively conservative design, high electricity consumption cost and the like are caused due to insufficient consideration on multiple external excitations, coupling of internal parts of the generator set and the like in a complex environment. How to ensure high reliability of the wind turbine generator and reduce the power consumption cost of the wind turbine generator to the maximum extent in a complex and variable environment is a challenge in the design of the whole wind turbine generator and parts thereof.
The key point of solving the problem is to get through the invisible barrier in the design, provide a low-cost, simple, safe, reliable and high-precision multi-field coupling complete machine model building method for the low-wind-speed wind turbine generator, take a dynamic response analysis method with complete machine dynamics of the wind turbine generator as a core, cooperate with multi-disciplinary means such as pneumatics, machinery, materials, electric control and the like, fully consider the complex environment and the external excitation of a power grid, and the mechanical-electrical-hydraulic-control internal multi-element coupling effect, uniformly consider the high-reliability complete machine and key parts to develop the cooperative optimization design technical research, achieve the optimal comprehensive target of performance, load, reliability and cost, realize the accurate load simulation of the wind turbine generator, and reduce the power cost of the wind turbine generator.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a multi-field coupling high-precision complete machine model building method for a low-wind-speed wind turbine generator, which fully considers complex environment and external excitation of a power grid and multi-element coupling action in electromechanical-hydraulic-control, uniformly considers highly reliable complete machines and key parts to develop collaborative optimization design technical research, achieves optimal comprehensive targets of performance, load, reliability and cost, realizes accurate load simulation of the wind turbine generator, and reduces the power consumption cost of the wind turbine generator.
In order to solve the technical problem, the invention provides a multi-field coupling high-precision complete machine model building method for a low-wind-speed wind turbine generator, which comprises the following steps:
(1) reasonably simplifying a physical prototype of the whole wind turbine generator system to obtain a model topological graph of the whole wind turbine generator system, and establishing a mathematical-physical model of the wind turbine generator;
(2) dispersing all systems in a physical prototype of the whole system of the wind turbine generator, introducing a finite element method, and establishing a rigid-flexible coupling mechanical model by combining a multi-body dynamics method;
(3) respectively simplifying and modeling external environment, electric, hydraulic and control systems;
(4) a high-precision wind generating set model of a mechanical-electric-hydraulic-control internal multi-element coupling type is established through integration.
Further improved, the modeling of the external environment in step (3) mainly takes normal wind conditions and extreme wind conditions into account;
under normal wind conditions, the model comprises a normal wind profile model and a normal turbulence model;
under the extreme wind condition, the method comprises an extreme turbulence model, an extreme wind speed model, an extreme operation gust model, an extreme wind direction change model, a variable-direction extreme coherent gust model and an extreme wind shear model.
Further improved, the modeling of the electricity in the step (3) comprises a power supply loop model, a power distribution protection loop model, a signal loop model, an automatic and manual mode control loop model, a driving and action execution loop model, a safety control and protection loop model and a grounding protection loop model.
Further improvement, the modeling of the hydraulic pressure in the step (3) comprises a hydraulic component model and a hydraulic pipeline model, and the hydraulic pipeline model comprises a seamless steel pipe model and a high-pressure hose flexible pipeline model.
Further improving, the modeling of the control system in the step (3) comprises a pitch control model, a torque control model, a brake control model, a state machine model, a fault setting model and a simulation result observation model;
the control system modeling method comprises a step of establishing a control system differential equation, a step of establishing a transfer function and a step of linearizing a nonlinear differential equation.
Further improving, the modeling of the mechanical structure in the step (2) comprises blade modeling, hub modeling, pitch system modeling, frame and support structure modeling, wind turbine main shaft modeling, gearbox modeling, high-speed coupling modeling, generator modeling, yaw system modeling, nacelle modeling, tower modeling and foundation modeling;
the requirements of each part modeling model and the requirements of the degree of freedom in the mechanical structure modeling are as follows:
the modeling of the blade is a blade aerodynamic model established based on a blade element-momentum theory, airfoil aerodynamics, a dynamic stall model and a Prandtl model, and during modeling, the blade is divided into a plurality of sections, and corresponding geometric parameters, mass distribution and rigidity distribution data and airfoil aerodynamic data are respectively input into the divided sections; the mass unbalance and pneumatic unbalance factors of the wind wheel are also considered during modeling of the blades, wherein the mass unbalance is caused by the manufacturing deviation of the blades and is not less than +/-0.3 degrees, and the pneumatic unbalance is caused by the appearance manufacturing deviation of the blades and the installation angle deviation of the blades;
the hub modeling is to establish an FEA model by using an Ansys finite element method, wherein four control points are respectively established at the connecting part of a blade and a variable pitch bearing and the connecting part of a hub and a main shaft, and the control nodes and a main node adopt rigid constraint;
the variable pitch system modeling comprises a variable pitch system main model and a component model, a variable pitch bearing in the variable pitch system main model is simplified into an inner ring and an outer ring, the inner ring has six degrees of freedom relative to the outer ring, and a bearing force element is applied between the inner ring and the outer ring; the component model comprises a reduction gearbox body, a gear and a shaft rigid body model, wherein the input shaft and the output shaft have six degrees of freedom relative to the reduction gearbox body and apply corresponding bearing force elements; the meshing between the gears adopts a multi-body dynamic method to provide a gear force element.
Further improved, the modeling of the frame and the supporting structure adopts an Abaqus or Ansys finite element method to establish an FEA model, wherein four control points are arranged on a generator support, two control points are arranged on the supporting center of a gearbox, two control points are arranged on a main bearing seat, one control point is arranged on the center of a yaw bearing, each node is connected to the corresponding control point by using rigid constraint, each control point is used as a super unit node when a substructure is solved, and modal information of the supporting structure is solved, wherein Fx, Fy, Fz, My and Mz of the yaw control points are set as boundary conditions;
the modeling of the wind wheel main shaft adopts an Ansys finite element method to establish a model, four control points are arranged on four characteristic surfaces, each node is connected to the corresponding control point by using rigid constraint, each control point is used as a super unit node when a substructure is solved, and modal information of a super unit is solved, wherein RZ of a front bearing control point is a boundary condition.
Further improving, the modeling of the gearbox comprises modeling of a low-speed end planet carrier, modeling of an LSS sun shaft, modeling of an IMS input shaft, modeling of an HSS high-speed input shaft, modeling of a high-speed output shaft and modeling of a gear;
the generator modeling comprises a generator stator model and a rotor model, the stator model is fixedly connected with a cabin, the rotor model has six degrees of freedom relative to the stator model, a bearing force element is applied between the stator model and the rotor model, and the generating effect of the generator rotor model during rotation is realized by combining a generator rotating speed torque curve through a multi-body dynamics method;
the high-speed coupler modeling is established by adopting a multi-body dynamics method, and the torsional rigidity of the established high-speed coupler model is transmitted to the generator model through the force unit.
Further improving, the yaw system modeling comprises a yaw bearing model, a yaw driving model, a brake disc model and a brake caliper model, wherein the yaw bearing model and the yaw driving model establish a gear meshing model;
the foundation stiffness and the moment of inertia should be considered in the foundation modeling, so that the first-order frequency in the tower model is reduced by 5% compared with that in the rigid foundation model.
After adopting such design, the invention has at least the following advantages:
the invention discloses the load characteristic and the coupling transmission mechanism of the wind turbine generator under the complex environment, establishes a clear topological structure and a dynamics differential equation set of the whole system, constructs a high-precision dynamics mathematical model of the whole system coupling of the wind turbine generator, provides topological optimization division by dispersing each system in a physical prototype of the whole system of the wind turbine generator, introducing a finite element method, establishing a rigid-flexible coupling mechanical model by combining a multi-body dynamics method, respectively simplifying and modeling an external environment, an electric system, a hydraulic system and a control system, and finally establishing a mechanical-electric-hydraulic-control internal multi-element coupling type high-precision wind turbine generator model suitable for the low-wind-speed wind turbine generator through integration, and the modeling technologies such as substructure packaging, dynamic link library embedding and the like are used for constructing a high-precision system-level dynamic model of a multidisciplinary platform such as pneumatics, structures, control and the like. The invention also provides a method for predicting and analyzing the dynamics and dynamic characteristics of the wind turbine generator, so that the comprehensive deconstruction and complete analysis of the full life cycle high-precision and multi-dimensional dynamic characteristics of the wind turbine generator are realized, the accurate load simulation of the wind turbine generator is really realized, and the aim of reducing the power consumption cost of the wind turbine generator is fulfilled.
Drawings
The foregoing is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and the detailed description.
FIG. 1 is a model topological diagram of a complete wind turbine generator system.
FIG. 2 is a model topology of the entire gearbox in the wind turbine.
FIG. 3 is a graph of generator speed and torque in a wind turbine.
FIG. 4 is a block diagram of an electrical system in a wind turbine.
FIG. 5 is a topological diagram of an overall model of a control system in a wind turbine.
FIG. 6 is a vibration characteristic diagram of a wind wheel in a multi-field coupling high-precision complete machine model established by the invention.
FIG. 7 is a cloud diagram of the displacement of the whole-main frame in the multi-field coupling high-precision whole machine model established by the invention.
Detailed Description
The multi-field coupling high-precision complete machine model building method for the low-wind-speed wind turbine generator set comprises the following steps:
(1) and (3) reasonably assuming a physical prototype of the whole wind turbine generator system, simplifying and obtaining a model topological graph of the whole wind turbine generator system, and establishing a mathematical-physical model of the wind turbine generator as shown in the attached figure 1.
(2) Dispersing each system in a physical prototype of the whole system of the wind turbine generator, introducing a finite element method, and establishing a rigid-flexible coupling mechanical model by combining a multi-body dynamics method.
(3) And the modeling of external environment, electric, hydraulic and control systems is simplified respectively.
(4) A high-precision wind generating set model of a mechanical-electric-hydraulic-control internal multi-element coupling type is established through integration.
And finally, analyzing the multi-field coupling high-precision whole machine model by using multi-body dynamics software, solving the numerical value, post-processing the solved result, and extracting the parameters to be optimized in the whole machine model so as to perform the next optimization analysis.
The modeling of the mechanical structure in the step (2) includes most components in the wind turbine, such as blades, hubs, a pitch system, a frame and a support structure, a wind turbine main shaft, a gear box, a high-speed coupling, a generator, a yaw system, a cabin, a tower and a foundation. The generator comprises a tower, a nacelle, a generator stator, a rotor, a bearing force element (No. 43 force element) and a feedback torque (No. 50 force element), wherein the tower is fixedly connected with the ground, the nacelle is fixedly connected to the top of the tower, the generator stator is fixedly connected to the nacelle, blades of the generator have six degrees of freedom relative to the stator, and the bearing force element (No. 43 force element) and the feedback torque (No. 50 force element); the hub is fixedly connected to the generator blade; the gear box is fixedly connected on the main frame, and the variable pitch system (which is a substructure and comprises a variable pitch bearing and a variable pitch drive) is fixedly connected on the hub; the virtual variable pitch bearing is fixedly connected with an inner ring of a variable pitch bearing of the variable pitch system; the blades (existing as substructures) are fixed to virtual pitch bearings. The modeling of the mechanical structure comprises blade modeling, hub modeling, pitch system modeling, frame and support structure modeling, wind turbine main shaft modeling, gearbox modeling, high speed coupling modeling, generator modeling, yaw system modeling, nacelle modeling, tower modeling and foundation modeling.
The requirements of each part modeling model and the requirements of the degree of freedom in the mechanical structure modeling are shown in the following table 1:
table 1 shows the generator set component modeling model requirements and the degree of freedom requirements.
Specifically, the blade modeling is a blade aerodynamic model established based on a blade element-momentum theory, airfoil aerodynamics, a dynamic stall model and a Prandtl model, and during modeling, the blade is divided into a plurality of sections, and corresponding geometric parameters, mass distribution and rigidity distribution data and airfoil aerodynamic data are respectively input into the divided sections according to a design concept. Aerodynamic data of all airfoils must contain coefficients of Cl, Cd, Cm of ± 180 degrees; the Cl, Cm coefficient curves are substantially antisymmetrical about the y-axis; the Cd coefficient curve is generally directly symmetric about the y-axis. The mass unbalance and pneumatic unbalance factors of the wind wheel are also considered during blade modeling, wherein the mass unbalance is caused by the manufacturing deviation of the blades and is not less than +/-0.3 degrees, namely the initial angles of the three blades are-0.3 degrees, 0 degrees and +0.3 degrees respectively; the aerodynamic imbalance is caused by blade profile manufacturing variations and blade mounting angle variations.
In the hub modeling, an Ansys finite element method is used for establishing an FEA model, wherein four control points are respectively established at the connection part of a blade and a variable pitch bearing and the connection part of a hub and a main shaft, and the control nodes and a main node adopt rigid constraint; the model calculation adopts a form of a superunit, and the hub and the spindle are connected with control points to constrain boundary conditions of all degrees of freedom. The flexible body, which is also established by the multi-body dynamics FEMBS module in the hub modeling, must contain a certain number of modes to ensure that the first order torsional mode is contained.
The pitch system modeling comprises a pitch system main model and a component model. The pitch bearing in the main model of the pitch system is simplified into an inner ring and an outer ring, the inner ring has six degrees of freedom relative to the outer ring, and a bearing force element (No. 43 force element) is applied between the inner ring and the outer ring; the component model comprises a reduction gearbox body, a gear and a shaft rigid body model, wherein the input shaft and the output shaft have six degrees of freedom relative to the reduction gearbox body and apply corresponding bearing force elements; the remaining elements all release rotational freedom. The meshing between the gears is realized by adopting a No. 225 gear force element provided by a multi-body dynamic method.
The modeling of the frame and the support structure adopts an Abaqus or ansys finite element method to establish an FEA model, wherein four control points are arranged on a generator support, two control points are arranged on the bearing center of a gearbox, two control points are arranged on a main bearing seat, one control point is arranged on the center of a yaw bearing, each node is connected to the corresponding control point by using rigid constraint, each control point is used as a super unit node when a substructure is solved, the modal information of the support structure is solved, and Fx, Fy, Fz, My and Mz of the yaw control points are set as boundary conditions.
The modeling of the wind wheel main shaft adopts an Ansys finite element method to establish a model, four control points are arranged on four characteristic surfaces, each node is connected to the corresponding control point by using rigid constraint, each control point is used as a super unit node when a substructure is solved, and modal information of a super unit is solved, wherein RZ of a front bearing control point is a boundary condition.
The topology of the gear box is used as an important component of the doubly-fed wind turbine generator and is an important ring of the reliability of the whole wind turbine generator, the gear box is connected with the main frame, the high-speed shaft and the low-speed shaft, and the topological relation of the whole gear box is shown in an attached drawing 2.
The modeling of the gearbox comprises low-speed end planet carrier modeling, LSS sun shaft modeling, IMS input shaft modeling, HSS high-speed input shaft modeling, high-speed output shaft modeling and gear modeling.
Wherein, the modeling of the planet carrier at the low-speed end is as follows: a finite element model of a planet carrier at the low-speed end of the gearbox is established in Ansys. A second order tetrahedral unit is employed. Six control points are arranged in the center of the pin hole, and rigid constraint is adopted between the control points and the corresponding areas. Planetary gear pins (260 mm diameter) were fixed in front of the socket control points at both ends and modeled using BEAM4 cell. Two control points are arranged on the support center, and rigid constraint is adopted between the control points and the corresponding areas. A control point is established at the center point of the connecting end face of the rotating shaft, and rigid constraint is adopted. When solving the sub-components, six control points are used as super node elements, which are respectively: three middle points on the pin shaft beam, two supporting bearing center points and a torque input center point.
Modeling an LSS solar shaft: a finite element model of the LSS sun shaft was built in Ansys. The control points are established at the sun gear center and the spline joint center. The spline region employs rigid constraint while the sun gear employs distributed force constraint. Two control points are used as superunit nodes for sub-structure unit computation.
IMS input shaft modeling: a finite element model of the IMS input shaft is built in Ansys. The control points are established at the centers of the two bearings and the gears, and at the center of the LSS sun shaft and spline joint. Each control point and the corresponding slave node are constrained by a rigid or force component. The control points are used as superunit nodes for sub-structure unit computation.
Modeling an HSS high-speed input shaft: a finite element model of the HSS high speed input shaft is built in Ansys. The control point is established at the bearing and gear center. Rigid or distributed force constraints are employed between each control point and the corresponding slave node. The control points are used as superunit nodes for sub-structure unit computation.
Modeling a high-speed output shaft: a finite element model of the HSS high-speed output shaft is established in Ansys. The control points are established at the center bearing, the gear and the output interface. Rigid or distributed force constraints are employed between each control point and the corresponding slave node. The control points are used as superunit nodes for sub-structure unit computation.
Modeling a gear: a three-dimensional model of the gear was built in the multi-body dynamics software according to the parameters in the table below. In calculating the engagement force, the most important geometrical information will be for the particular force unit (gear pair fe-225). The rigidity of the meshing pair of the gears can be obtained through the output result of the force unit fe-225 of the multi-body dynamics. At rated load, mesh stiffness is achieved by applying a rated torque to the low-speed end planet carrier.
The torque arm connects the gearbox to the resilient support, and the considerable flexibility that can be provided by its cantilevered structure is not negligible. Therefore, a finite element model of the torque arm is built in Ansys. A second order tetrahedral unit is employed. The control point is established on the geometric center of the planet wheel, and rigid constraint is adopted between the master control node and the slave control area. The boundary conditions are applied to the arm in a manner similar to real contact.
The generator modeling comprises a generator stator model and a rotor model, the stator model is fixedly connected with a cabin, the rotor model has six degrees of freedom relative to the stator model, a bearing force element is applied between the stator model and the rotor model, and the power generation effect of the generator rotor model during rotation is realized by combining a generator rotating speed and torque curve through a multi-body dynamics method. The generator speed torque curve is shown in figure 3.
The high-speed coupler modeling is established by adopting a multi-body dynamics method, and the torsional rigidity of the established high-speed coupler model is transmitted to the generator model through the force unit.
The yaw system modeling comprises a yaw bearing model, a yaw driving model, a brake disc model and a brake caliper model, wherein the yaw bearing model and the yaw driving model establish a gear meshing model;
because the influence of the engine room of the wind turbine generator on the load result of the generator is not great in the simulation calculation process, the model of the engine room can be simplified to avoid the complexity of the system. The nacelle can be regarded as a hexahedron only, and then the mass, the position of the center of mass, the rotational inertia and other data are specified to realize modeling.
The method comprises the steps of modeling a tower, dividing the wind turbine generator tower into a plurality of small sections along the axial direction, formulating data such as diameter, thickness, rigidity distribution and mass distribution of each small section, and establishing a wind turbine generator tower model by adopting beam units. Since the modeling of the tower is critical to the system modal impact, the material properties should conform to those of standard steel (density 7850 kg/m)3Young's modulus 2.1e11Pa), the auxiliary mass of the tower considering the weight of each section of flange and considering the material density 5% above the standard steel density (density 8242.5 kg/m)3) The air resistance coefficient was taken to be 0.6.
Since the fundamental stiffness has a large influence on the tower frequency, it has to be considered in the computational modeling to reduce the computational deviation on demand. Foundation stiffness and moment of inertia should also be considered in the foundation modeling, so that the first-order frequency in the tower model is reduced by 5% compared with that in the rigid foundation model.
The modeling of the external environment in step (3) above mainly takes normal wind conditions and extreme wind conditions into account. Normal wind conditions are those which are often encountered in the operation of an actual wind turbine, and the probability of occurrence of wind speed is assumed to be described in terms of a Rayleigh distribution. Under normal wind conditions, a normal wind profile model (NWP) and a Normal Turbulence Model (NTM) are employed.
Extreme wind conditions are a simplified model of the worst wind conditions that a wind turbine may encounter in service, mainly considering six extreme wind conditions: an Extreme Turbulence Model (ETM), an extreme wind speed model (EWM), an extreme operating gust model (EOG), an extreme wind direction change model (EDC), a variable direction extreme coherent gust model (ECD), an extreme wind shear model (EWS). The extreme wind speed model (EWM) refers to a strong and persistent wind condition which may occur but rarely, and can be divided into 50-year-one extreme wind speed (Ve50) and one-year-one extreme wind speed (Ve 1). An extreme operating gust model (EOG) refers to a wind condition in which the wind speed suddenly increases and then decreases after a short time when a wind turbine operates. The extreme wind direction change model (EDC) means that extreme wind direction changes are defined in a manner similar to extreme gusts, i.e. wind direction changes greatly in a short time. The variable direction extreme coherent gust (ECD) refers to that in the variable direction extreme coherent gust, the increase of wind speed and the increase of wind direction occur simultaneously. Extreme Wind Shear (EWS) defines two transient wind shear wind conditions, one horizontal wind shear and the other vertical wind shear.
Modeling of the Electrical in the above step (3)
The wind turbine generator electrical system is a control core and an optimized implementation means for realizing the functions of wind energy capture, energy conversion, energy transmission and the like of the generator. The basic functions of the electrical system mainly comprise the following points: designing an automatic start-stop wind turbine generator; designing motor switching control; designing grid connection control; automatic cable untwisting and yaw design; designing human-computer interactive control; designing brake control; and (4) designing in other aspects.
The wind generating set electrical system comprises an electrical system and an electrical control system. The electric system is a system formed by low-voltage power supply combined components, mainly provides power supplies of different grades for the wind turbine generator, and is generally commonly called a low-voltage power distribution system. The electric control system is formed by combining a plurality of electric elements and is used for controlling a certain object or certain objects so as to ensure that a controlled device safely and reliably operates, and the electric control system has the main functions of: automatic control, protection, monitoring and measurement. Generally known as the secondary control loop of the electrical equipment.
The electric modeling comprises a power supply loop model, a power distribution protection loop model, a signal loop model, an automatic and manual mode control loop model, a driving and action execution loop model, a safety control and protection loop model and a grounding protection loop model. As shown in fig. 4.
Modeling of the hydraulic pressure in the above step (3)
The yaw system of the grid-connected wind generating set is generally provided with a hydraulic device, and the hydraulic device is used for dragging a yaw brake to release or lock. The hydraulic pipeline is generally made of seamless steel pipes, and the connecting part of the flexible pipeline is made of a proper high-pressure hose. The bolted pipe connection assembly should be experimentally assured of the required sealing and bearing of the dynamic loads that occur during operation of the yaw system. The design, selection and arrangement of the hydraulic components are in accordance with the relevant specific regulations and requirements of the hydraulic device. The hydraulic lines should be able to remain clean and have good oxidation resistance. The hydraulic system should not leak at the rated operating pressure.
In this embodiment, the modeling of the hydraulic pressure includes a hydraulic component model and a hydraulic pipeline model, and the hydraulic pipeline model includes a seamless steel pipe model and a high-pressure hose flexible pipeline model.
Modeling of the control system in the above step (3)
The control system of the wind generating set is used for coordinating main and auxiliary equipment such as an impeller, a transmission mechanism, yawing, braking and the like, ensuring safe and stable operation of the equipment of the wind generating set, and generally refers to a system for receiving information of the wind generating set and working operation environment thereof and adjusting the wind generating set to operate according to preset requirements. The control system improves the operation efficiency of the wind generating set by controlling the actuating mechanism, and ensures the safe operation of the wind generating set; the control system detects faults of the wind generating set, particularly faults such as overspeed, vibration, overpower, overheating and the like, and takes perfect protection measures.
The wind turbine generator control system is a key technology of the whole machine design and determines the performance and the structural load size and distribution of the generator. A high-performance wind generating set control system can improve the annual generating efficiency of the set, improve the electric energy quality, reduce the material utilization rate, reduce the noise and reduce the manufacturing cost.
The modeling of the control system comprises a variable pitch control model, a torque control model, a brake control model, a state machine model, a fault setting model and a simulation result observation model; as shown in fig. 5.
A variable pitch control model: the method comprises the steps of controlling a pitch angle PI and controlling various constant-speed variable pitches; the pitch control is that three blades are respectively controlled by the same strategy, and the model comprises pitch PI control, normal shutdown, rapid shutdown, emergency shutdown and power grid power failure shutdown pitch control.
A torque control model: the model comprises three control strategies of torque PI control, constant speed variable torque and constant torque of 0.
A brake control model: comprises a brake model; the brake is divided into two states: and (5) no braking and braking. When the vehicle is not braked, the output braking torque is 0. After the brake is started, the brake torque reaches the maximum value within 0.4 s.
A state machine model: judging and switching logic of each working condition; when the wind turbine generator operates in a speed change stage, in order to achieve maximum wind energy capture, the wind energy utilization coefficient is required to be controlled to reach the maximum value, and the generator torque and the generator rotating speed are optimally matched. When the fan reaches rated power, the pitch angle needs to be changed to adjust the blades to stabilize the power. According to different wind speeds, the main control process can be divided into the following four stages: the method comprises the following steps of cutting-in stage, constant rotating speed control, speed changing stage, optimal power curve tracking, rated rotating speed stage, constant rotating speed control, rated power stage and constant power control.
A fault setting model: setting faults of a generator speed sensor, a variable pitch fault and a generator short-circuit fault;
simulation result observation model: the simulation result is displayed in the form of an oscilloscope or stored in a working space by the results of the rotating speed of the generator, the torque of the generator, the generated power, the pitch angle, the fore-and-aft acceleration of the engine room and the like;
the modeling method of the control system in the embodiment comprises a step of establishing a differential equation of the control system, a step of establishing a transfer function and a step of linearizing a nonlinear differential equation.
In addition, the control system modeling further includes: the system comprises a variable pitch rotating speed set point selection module, a generator rotating speed sensor fault realization module, a yaw control interface and other auxiliary calculation modules.
The built high-precision wind turbine generator model of the mechanical-electrical-hydraulic-control internal multi-element coupling type can realize dynamic simulation of the generator, full life cycle load simulation of the whole wind turbine generator and vibration characteristic analysis of a transmission chain, as shown in figure 6.
The stress, strain state and displacement cloud pictures of the whole wind turbine blade, main shaft, frame and other flexibility can be extracted from the dynamic simulation, as shown in the attached figure 7. The structure safety of the unit flexibility can be judged from the extracted result. The dynamic simulation can truly reflect the change characteristics of stress, strain and displacement of the wind turbine component.
From the whole life cycle load simulation of the wind generating set, different running states of the wind generating set are mainly simulated as roughly eight conditions: the method has the advantages that accurate load simulation of the wind turbine generator is really realized by the aid of power generation working conditions, fault power generation working conditions, starting, normal shutdown, emergency shutdown, standby, fault standby, transportation, assembly, maintenance and repair, and the aim of reducing the power consumption cost of the wind turbine generator is fulfilled.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the present invention in any way, and it will be apparent to those skilled in the art that the above description of the present invention can be applied to various modifications, equivalent variations or modifications without departing from the spirit and scope of the present invention.
Claims (10)
1. A multi-field coupling high-precision complete machine model building method for a low wind speed wind turbine generator is characterized by comprising the following steps:
(1) reasonably simplifying a physical prototype of the whole wind turbine generator system to obtain a model topological graph of the whole wind turbine generator system, and establishing a mathematical-physical model of the wind turbine generator;
(2) dispersing all systems in a physical prototype of the whole system of the wind turbine generator, introducing a finite element method, and establishing a rigid-flexible coupling mechanical model by combining a multi-body dynamics method;
(3) respectively simplifying and modeling external environment, electric, hydraulic and control systems;
(4) a high-precision wind generating set model of a mechanical-electric-hydraulic-control internal multi-element coupling type is established through integration.
2. The method for establishing the multi-field coupling high-precision complete machine model of the low-wind-speed wind turbine generator set according to claim 1, wherein the modeling of the external environment in the step (3) mainly considers normal wind conditions and extreme wind conditions;
under normal wind conditions, the model comprises a normal wind profile model and a normal turbulence model;
under the extreme wind condition, the method comprises an extreme turbulence model, an extreme wind speed model, an extreme operation gust model, an extreme wind direction change model, a variable-direction extreme coherent gust model and an extreme wind shear model.
3. The method for establishing the multi-field coupling high-precision complete machine model of the low-wind-speed wind turbine generator set according to claim 1, wherein the modeling of the electricity in the step (3) comprises a power supply loop model, a power distribution protection loop model, a signal loop model, an automatic and manual mode control loop model, a driving and action execution loop model, a safety control and protection loop model and a grounding protection loop model.
4. The method for establishing the multi-field coupling high-precision complete machine model of the low wind speed wind turbine generator set according to claim 1, wherein the hydraulic modeling in the step (3) comprises a hydraulic component model and a hydraulic pipeline model, and the hydraulic pipeline model comprises a seamless steel pipe model and a high-pressure hose flexible pipeline model.
5. The method for establishing the multi-field coupling high-precision complete machine model of the low wind speed wind turbine generator set according to claim 1, wherein the modeling of the control system in the step (3) comprises a variable pitch control model, a torque control model, a brake control model, a state machine model, a fault setting model and a simulation result observation model;
the control system modeling method comprises a step of establishing a control system differential equation, a step of establishing a transfer function and a step of linearizing a nonlinear differential equation.
6. The method for establishing the multi-field coupling high-precision complete machine model of the low-wind-speed wind turbine generator set according to claim 1, wherein the modeling of the mechanical structure in the step (2) comprises blade modeling, hub modeling, variable pitch system modeling, frame and support structure modeling, wind turbine main shaft modeling, gear box modeling, high-speed coupling modeling, generator modeling, yaw system modeling, engine room modeling, tower modeling and foundation modeling;
the requirements of each part modeling model and the requirements of the degree of freedom in the mechanical structure modeling are as follows:
7. the method for establishing the multi-field coupling high-precision complete machine model of the low-wind-speed wind turbine generator set according to claim 6, wherein the blade modeling is a blade aerodynamic model established based on a blade voxel-momentum theory, airfoil aerodynamics, a dynamic stall model and a Prandtl model, and during modeling, the blade is divided into a plurality of sections, and corresponding geometric parameters, mass distribution and rigidity distribution data and airfoil aerodynamic data are respectively input into the divided sections; the mass unbalance and pneumatic unbalance factors of the wind wheel are also considered during modeling of the blades, wherein the mass unbalance is caused by the manufacturing deviation of the blades and is not less than +/-0.3 degrees, and the pneumatic unbalance is caused by the appearance manufacturing deviation of the blades and the installation angle deviation of the blades;
the hub modeling is to establish an FEA model by using an Ansys finite element method, wherein four control points are respectively established at the connecting part of a blade and a variable pitch bearing and the connecting part of a hub and a main shaft, and the control nodes and a main node adopt rigid constraint;
the variable pitch system modeling comprises a variable pitch system main model and a component model, a variable pitch bearing in the variable pitch system main model is simplified into an inner ring and an outer ring, the inner ring has six degrees of freedom relative to the outer ring, and a bearing force element is applied between the inner ring and the outer ring; the component model comprises a reduction gearbox body, a gear and a shaft rigid body model, wherein the input shaft and the output shaft have six degrees of freedom relative to the reduction gearbox body and apply corresponding bearing force elements; the meshing between the gears adopts a multi-body dynamic method to provide a gear force element.
8. The method for establishing the multi-field coupling high-precision complete machine model of the low-wind-speed wind turbine generator set according to claim 6 is characterized in that an Abaqus or ansys finite element method is adopted for establishing the FEA model for modeling the frame and the supporting structure, wherein four control points are arranged on a generator support, two control points are arranged on a bearing center of a gearbox, two control points are arranged on a main bearing seat, one control point is arranged on a yaw bearing center, each node is connected to the corresponding control point by using rigid constraint, each control point is used as a super unit node when a substructure is solved, modal information of the supporting structure is solved, and Fx, Fy, Fz, My and Mz of the yaw control points are set as boundary conditions;
the modeling of the wind wheel main shaft adopts an Ansys finite element method to establish a model, four control points are arranged on four characteristic surfaces, each node is connected to the corresponding control point by using rigid constraint, each control point is used as a super unit node when a substructure is solved, and modal information of a super unit is solved, wherein RZ of a front bearing control point is a boundary condition.
9. The method for establishing the multi-field coupling high-precision complete machine model of the low-wind-speed wind turbine generator set according to claim 6, wherein the gear box modeling comprises low-speed end planet carrier modeling, LSS sun shaft modeling, IMS input shaft modeling, HSS high-speed input shaft modeling, high-speed output shaft modeling and gear modeling;
the generator modeling comprises a generator stator model and a rotor model, the stator model is fixedly connected with a cabin, the rotor model has six degrees of freedom relative to the stator model, a bearing force element is applied between the stator model and the rotor model, and the generating effect of the generator rotor model during rotation is realized by combining a generator rotating speed torque curve through a multi-body dynamics method;
the high-speed coupler modeling is established by adopting a multi-body dynamics method, and the torsional rigidity of the established high-speed coupler model is transmitted to the generator model through the force unit.
10. The method for establishing the multi-field coupling high-precision complete machine model of the low wind speed wind turbine generator set according to claim 6, wherein the yaw system modeling comprises a yaw bearing model, a yaw driving model, a brake disc model and a brake caliper model, wherein the yaw bearing model and the yaw driving model establish a gear meshing model;
the foundation stiffness and the moment of inertia should be considered in the foundation modeling, so that the first-order frequency in the tower model is reduced by 5% compared with that in the rigid foundation model.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010907988.5A CN111963389B (en) | 2020-09-02 | 2020-09-02 | Multi-field coupling complete machine model building method of low-wind-speed wind turbine generator |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010907988.5A CN111963389B (en) | 2020-09-02 | 2020-09-02 | Multi-field coupling complete machine model building method of low-wind-speed wind turbine generator |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111963389A true CN111963389A (en) | 2020-11-20 |
CN111963389B CN111963389B (en) | 2024-03-12 |
Family
ID=73392329
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010907988.5A Active CN111963389B (en) | 2020-09-02 | 2020-09-02 | Multi-field coupling complete machine model building method of low-wind-speed wind turbine generator |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111963389B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112818489A (en) * | 2021-02-23 | 2021-05-18 | 三一重能股份有限公司 | Wind turbine generator design method and system |
CN115525988A (en) * | 2022-08-22 | 2022-12-27 | 大唐可再生能源试验研究院有限公司 | Wind turbine generator system autonomous load simulation calculation and correction system |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103455688A (en) * | 2013-09-16 | 2013-12-18 | 国家电网公司 | Method for establishing dynamic simulation model of general wind turbine generating unit |
CN103745070A (en) * | 2014-01-28 | 2014-04-23 | 中国科学院电工研究所 | Modeling and simulating method for mechanical transient characteristics of transmission chain of wind generating set |
KR20140087653A (en) * | 2012-12-31 | 2014-07-09 | (주) 디엔디이 | Method for designing and analyzing wind turbine blade |
-
2020
- 2020-09-02 CN CN202010907988.5A patent/CN111963389B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20140087653A (en) * | 2012-12-31 | 2014-07-09 | (주) 디엔디이 | Method for designing and analyzing wind turbine blade |
CN103455688A (en) * | 2013-09-16 | 2013-12-18 | 国家电网公司 | Method for establishing dynamic simulation model of general wind turbine generating unit |
CN103745070A (en) * | 2014-01-28 | 2014-04-23 | 中国科学院电工研究所 | Modeling and simulating method for mechanical transient characteristics of transmission chain of wind generating set |
Non-Patent Citations (3)
Title |
---|
李浪: "大型风力发电机组整机动力学建模与性能预测分析", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》, pages 042 - 267 * |
罗方正: "Wind energy generation systems - Part 1: Design requirements (IEC 61400-1:2019)", 机械工业出版社, pages: 042 - 120 * |
贾锋: "风电机组多目标综合优化控制关键技术研究", 《中国博士学位论文全文数据库 工程科技Ⅱ辑》, pages 042 - 34 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112818489A (en) * | 2021-02-23 | 2021-05-18 | 三一重能股份有限公司 | Wind turbine generator design method and system |
CN112818489B (en) * | 2021-02-23 | 2023-09-22 | 三一重能股份有限公司 | Wind turbine generator design method and system |
CN115525988A (en) * | 2022-08-22 | 2022-12-27 | 大唐可再生能源试验研究院有限公司 | Wind turbine generator system autonomous load simulation calculation and correction system |
Also Published As
Publication number | Publication date |
---|---|
CN111963389B (en) | 2024-03-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111963388B (en) | Multi-field coupling complete machine model building method of offshore wind turbine generator | |
Abboudi et al. | Dynamic behavior of a two-stage gear train used in a fixed-speed wind turbine | |
CN103344437A (en) | Semi-physical real-time simulation platform for wind generating set | |
Qin et al. | Downwind coning concept rotor for a 25 MW offshore wind turbine | |
CN111963389B (en) | Multi-field coupling complete machine model building method of low-wind-speed wind turbine generator | |
Mohammadi et al. | Using a new wind turbine emulator to analyze tower shadow and yaw error effects | |
Niranjan et al. | Insights from detailed numerical investigation of 15 MW offshore semi-submersible wind turbine using aero-hydro-servo-elastic code | |
Scott et al. | Effects of extreme and transient loads on wind turbine drive trains | |
Bay et al. | Design and testing of a scaled demonstrator turbine at the national wind technology center | |
Wang et al. | A comparative study of fully coupled and de-coupled methods on dynamic behaviour of floating wind turbine drivetrains | |
Spera | Introduction to modern wind turbines | |
Muggiasca et al. | Design of an aeroelastic physical model of the DTU 10MW wind turbine for a floating offshore multipurpose platform prototype | |
Wang et al. | On initial design and modelling of a 10 MW medium speed drivetrain for offshore wind turbines | |
WO2024002091A1 (en) | Full-power test platform and method for tandem double-wind-wheel wind turbine generator set | |
Ashuri et al. | Review of design concepts, methods and considerations of offshore wind turbines | |
Liu et al. | Application and analysis of hydraulic wind power generation technology | |
Berg et al. | System ID modern control algorithms for active aerodynamic load control and impact on gearbox loading | |
Kumar et al. | A feasibility and dynamic performance analysis of hydromechanical hybrid power transmission technology for wind turbines | |
Xie et al. | Modeling and analyzing dynamic response for an offshore bottom-fixed wind turbine with individual pitch control | |
CN111934357A (en) | System simulation analysis method and system for wind-solar power supply combined grid connection | |
CN105226635A (en) | Double-feedback type wind generator analogue system | |
Zhou et al. | Evaluating the influence of a high-fidelity generator model on the gearbox dynamic responses of wind turbines | |
CN112395770B (en) | Simplified influence analysis method for ground test platform of transmission chain of wind turbine generator | |
CN204535991U (en) | A kind of wind turbine gearbox non-torque load dynamic loading device | |
Ritschel et al. | Designing Wind Turbines: Engineering and Manufacturing Process in the Industrial Context |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |