CN106837704A - A kind of medium-sized low-speed permanent magnetic direct-drive Wind turbines and its Parameter Self-learning control method - Google Patents

A kind of medium-sized low-speed permanent magnetic direct-drive Wind turbines and its Parameter Self-learning control method Download PDF

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Publication number
CN106837704A
CN106837704A CN201710247830.8A CN201710247830A CN106837704A CN 106837704 A CN106837704 A CN 106837704A CN 201710247830 A CN201710247830 A CN 201710247830A CN 106837704 A CN106837704 A CN 106837704A
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China
Prior art keywords
speed
control
parameter
wind turbines
main shaft
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CN201710247830.8A
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Chinese (zh)
Inventor
邓英
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Beijing Yaoneng Technology Co ltd
North China Electric Power University
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Beijing Yao Neng Technology Co Ltd
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Priority to CN201710247830.8A priority Critical patent/CN106837704A/en
Publication of CN106837704A publication Critical patent/CN106837704A/en
Pending legal-status Critical Current

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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D7/00Controlling wind motors 
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05BINDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00Control
    • F05B2270/30Control parameters, e.g. input parameters
    • F05B2270/328Blade pitch angle
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05BINDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00Control
    • F05B2270/30Control parameters, e.g. input parameters
    • F05B2270/329Azimuth or yaw angle
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05BINDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00Control
    • F05B2270/40Type of control system
    • F05B2270/404Type of control system active, predictive, or anticipative
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05BINDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00Control
    • F05B2270/70Type of control algorithm
    • F05B2270/709Type of control algorithm with neural networks
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P70/00Climate change mitigation technologies in the production process for final industrial or consumer products
    • Y02P70/50Manufacturing or production processes characterised by the final manufactured product

Abstract

The present invention proposes a kind of medium-sized low-speed permanent magnetic direct-drive Wind turbines and its Parameter Self-learning control method, belongs to technical field of wind power generation.The structure of low-speed permanent magnetic direct-drive Wind turbines is (as shown in Figure 1) to include wind wheel 1, main shaft 2, main bearing seat 3, mainframe 4, low speed disc-type permanent magnet motor 5, slow-speed shaft brake 6, change oar dragging system 7, driftage dragging system 8, engine room cover 9.Wind turbines control operation uses Parameter Self-learning algorithm, and the control parameter propeller pitch angle β of control system, rotational speed omega, torque q and power p are predicted with BP neural network, and control targe is determined by predicted value, completes speed change and bending moment control.The present invention is compared to conventional low desk permanent-magnet Wind turbines, reduce magneto by vibrations cause demagnetization cause generated energy glide in addition cannot generate electricity risk, reduce the load-supporting parts such as main shaft, mainframe can use light-duty welding structure, so that production cost is reduced, easy maintenance.

Description

A kind of medium-sized low-speed permanent magnetic direct-drive Wind turbines and its Parameter Self-learning control method
Technical field
The invention belongs to technical field of wind power generation, more particularly to a kind of low speed disc-type permanent magnet motor is installed on engine room inside Medium-sized low-speed permanent magnetic direct-drive wind power generating set.
Background technology
Low-speed permanent magnetic direct-drive wind power generating set, compared to double-fed, the alternating current asynchronous type, half direct-driving type wind that are widely used Power generator group, eliminates gear-box acceleration system and is the matching used gearbox lubrication oil pump systems of gear-box, lubricating oil Cooling, heating system, oil temperature, oil quality monitoring system, improve the reliability of whole unit, reduce maintenance workload.Simultaneously Due to magnetic steel material, design, the further maturation of production technology, using low speed disk permanent magnet generator Wind turbines shared by wind Group of motors ratio is in rising trend.
Magneto has receives vibrations to cause demagnetization so as to the risk for causing generated energy to glide or even cannot generate electricity.Current megawatt The electric machine structure form of level and many megawatt-level low-speed permanent magnet direct-drive Wind turbines has single-bearing internal rotor, single-bearing outer rotor, double The forms such as bearing internal rotor, duplex bearing outer rotor;Simultaneously because all be arranged in motor outside cabin by the reason such as motor size, radiating Portion front end;But the low speed disc-type permanent magnet motor of as above which kind of form no matter is used, the rotor of motor is connected directly between due to wind wheel On, circumferential vibrations that wind wheel blade causes are driven by fitful wind, along the axial vibrations of rotor shaft, and three blades weight and weight The asymmetric radial direction vibrations for causing of the heart can all be directly acted on the rotor of generator and conducted simultaneously to stator.
Permanent-magnet material has the shortcomings that high temperature demagnetization, and this is also the original that magneto is generally hung on nacelle exterior Cause.It also it is precisely the wind speed stage higher when generator power is larger, by certainly it has been generally acknowledged that permanent magnetism is hung on into nacelle exterior It is so air-cooled that fan heat is carried out to generator.Some are using the conventional low permanent-magnet disk Wind turbines of external hanging type in the preferable feelings of wind regime Because natural air cooled radiating up to standard cannot cause generator magnet steel temperature warning after continuously being run two under condition, it has to by machine Group limitation power or shutdown, cause mass energy to waste;Install air blast cooling additional and can not fully meet generator even if engineered Cooling requirements.
Traditional disc type low speed permanent magnet generator inner and outer Rotator is connected on cantilever mandrel, and motor front end will also Bear the weight of blade, wind wheel.Therefore general mandrel is all very sturdy to meet Structural strength calls, and mainframe is generally thick The cast structure (because the mobility of liquid metal is restricted, similarly sized casting should not be made thin-wall construction) of weight and so Structure be used in small batch (such as more than ten or tens) production medium-sized Wind turbines (100KW~500KW) in will be unable to Meet cost control requirement.
Ventional disc low speed permanent magnet generator is leaked in nacelle exterior cruelly, directly bear wind, Exposure to Sunlight, drench with rain, chemical attack, Barrier propterty requirement to motor is very high, increases the production cost of generator.
Ventional disc low-speed permanent magnet wind driven generator group is usually to transport to wind cabin, generator, wind wheel, blade respectively Electric field, is then lifted successively by the order of cabin, generator, wind wheel.
The content of the invention
To overcome existing low speed desk permanent-magnet Wind turbines shortcomings and deficiencies as above, the present invention to propose a kind of suitable medium-sized The structure of low-speed permanent magnetic direct-drive wind power generating set.
Its design feature and beneficial effect are:
(1) the installation fixed form of traditional low speed permanent magnet generator, this low-speed permanent-magnet Wind turbines wind wheel institute are different from By radially, axially out-of-balance force and vibrations mainframe is directly conducted to through main shaft, base bearing, bearing block and then by tower and ground Absorb, rather than being loaded directly on rotor or stator;This low-speed permanent-magnet motor is connected by soft with the axial direction of mainframe Property connection, reduce motor circumferential vibrations in the process of running;
(2) the inner-outer circulation air channel of special design is conducive to the radiating of motor;
(3) the unit is due to, in nacelle exterior, reducing the load-supporting parts such as main shaft, and mainframe no longer by motor suspension Light-duty welding structure can be used;So as to reduce the life of the medium-sized low-speed permanent magnetic direct-drive wind power generating set of small batch production Produce cost;
(4) low-speed permanent-magnet motor is installed in engine room inside, reduces magneto and leaks the wind-engaging in natural environment cruelly Blow, Exposure to Sunlight, the corrosion of seashore salt fog;
(5) compared with magneto is articulated in cabin make outside structure type, because generator is installed on engine room cover Inside, the maintenance of magneto is more convenient in the structure type of the unit;
(6) it has been arranged on inside engine room cover when being dispatched from the factory due to magneto, has been not required to consider to the independent fortune of magneto Defeated, independent lifting, saves hoisting cost.
(7) low-speed permanent magnet wind driven generator is internal rotor, hollow shaft, with special damping support.
(8) Fig. 1 Wind turbines control runs used Parameter Self-learning algorithm as shown in Figure 6:With BP neural network Control parameter propeller pitch angle β, rotating speed to control system, torque q and power p are predicted, and control targe is determined by predicted value, By the control block diagram of Fig. 6 (a), speed change and bending moment control are completed.Realize that Parameter Self-learning step is as follows:
1) first, allow Wind turbines that a period of time is run under original control strategy, obtain a series of SCADA datas.
2) using these data as BP neural network input signal, it is trained, the Wind turbines after prediction certain hour Parameter obtains very multi-group data on the basis of original parameter one new excitation of controller, system response.
3) when analysis is trained to parameter, after certain hour is reached so that become oar and speed Control parameter becomes Change, generate one group of new control parameter.
4) again after a period of time, then to new one group of SCADA data it is collected, this process is constantly circulated, value to school Untill testing satisfaction control requirement, Parameter Self-learning process is completed.
Brief description of the drawings
Fig. 1 is the overall structure types of the unit
Fig. 2 is the low-speed permanent-magnet electric machine structure form of the unit
Fig. 3 is the low-speed permanent-magnet motor flexible attachment structure form of the unit
Fig. 4 is the heat dissipation wind channel of the unit
Fig. 5 is the light-duty welding structure mainframe of the unit
Fig. 6 realizes block diagram for the machine control parameter self-learning algorithm
Specific embodiment
Wind power generating set includes wind wheel (1), main shaft (2), main bearing seat (3), mainframe (4), low-speed discs as described in Figure 1 Formula magneto (5), slow-speed shaft brake (6), change oar dragging system (7), driftage dragging system (8), engine room cover (9).
Wind wheel (1) is connected to main shaft (2) front end with high-strength bolt;Main shaft (2) is by the bearing and bearing in bearing block (3) Seat (3) connection;Wind wheel (1) is driven by wind, and the rotor of generator (5) is directly acted on except the torque load around main shaft (2) Upper to be used to generate electricity outer, all other load all pass to mainframe (4) by bearing block (3).
The axle of the magneto (5) is hollow form, is enclosed within the outside of main shaft (2), generator amature and main shaft (2) Can be undertaken by main shaft (2) with synchronous rotary, and the gravity of generator.
The profile of generator (5) is as shown in Figure 3.
Generator casing leaves the installation seat leg being flexibly connected with mainframe (4).The shell and main frame of generator (5) The flexible connection of frame (4) is as shown in Figure 3.Wind wheel drive motor rotor rotates the generator (5) caused when being generated electricity around main shaft (2) the damping shock absorbing device that axial vibrations are installed between motor (5) seat leg and mainframe (4) absorbs, so as to effectively subtract The circumferential vibrations of small generators.Generator is reduced by shaking the demagnetization risk for causing.
Become the blade realization change oar action that oar actuator (7) is dragged on wind wheel (1) through hollow spindle.
Driftage actuator (8) dragging cabin rotation realizes driftage to pneumatic work.
Engine room cover (9) realizes the protection to generator (5) and each part, it is to avoid generator receives wind, Exposure to Sunlight.
The air channel of cabin is as shown in Figure 4.When generating electricity windward, inside the air inlet duct A and tower that air passes through cabin (9) top Air channel B is inhaled into, and air is discharged by the air outlet C of cabin afterbody.
The air channel includes but is not limited to above-mentioned form.Can also arrange as follows:To realize rainproof function A Mouth can also be by opening direction towards cabin caudal, while increase draft fan at A mouths sucking air by force by nacelle exterior Engine room inside, while at C mouthfuls with ventilating fan all day the speed air flow in cabin can be increased.
The welding structure of mainframe (4) is as shown in figure 5, by the high-strength weathering steel plate or steel plate+rectangle of thickness 12mm-15mm Pipe profile is welded, and proves to meet Structural strength calls after strength check.Compared to the cast structure of wall thickness 30~50, reduce The weight of mainframe, there is a more preferable economy while reduce processing capacity.

Claims (5)

1. a kind of medium-sized low-speed permanent magnetic direct-drive wind power generating set, it is characterised in that:Including wind wheel -1, main shaft -2, main bearing seat - 3rd, mainframe -4, low speed disc-type permanent magnet motor -5, slow-speed shaft brake -6, change oar dragging system -7, driftage dragging system -8, cabin Cover -9.
2. Wind turbines control runs used Parameter Self-learning algorithm, it is characterised in that be to control with BP neural network The control parameter propeller pitch angle β of system, rotational speed omega, torque q and power p are predicted, and control targe is determined by predicted value, complete to become Speed and bending moment optimal control;Realize that Parameter Self-learning step is as follows:
1. first, allow Wind turbines that a period of time is run under original control strategy, obtain a series of SCADA datas;
2. using these data as BP neural network input signal, it is trained, the Wind turbines parameter after prediction certain hour Obtain very multi-group data on the basis of original parameter one new excitation of controller, system response;
3. it is raw when analysis is trained to parameter, after certain hour is reached so that become oar and speed Control parameter changes Into one group of new control parameter;
4. again after a period of time, then to new one group of SCADA data it is collected, this process is constantly circulated, value is full to verification Untill foot control is required, Parameter Self-learning process is completed.
3. the medium-sized low-speed permanent magnetic direct-drive wind power generating set told according to claim 1, wind wheel (1) is connected to high-strength bolt Main shaft (2) front end;Main shaft (2) is connected by the bearing in bearing block (3) with bearing block (3);Permanent magnetism according to claim 1 The axle of generator (5) is hollow form, is enclosed within the outside of main shaft (2), generator amature and main shaft (2) can with synchronous rotary, and And the gravity of generator is undertaken by main shaft (2);Generator casing leaves the installation seat leg being flexibly connected with mainframe (4); Become the blade realization change oar action that oar actuator (7) is dragged on wind wheel (1) through hollow spindle.
4. the welding structure of the mainframe (4) told according to claim 1, by thickness 12mm-15mm high-strength weathering steel plate or Steel plate+rectangular tube structural section is welded, and proves to meet Structural strength calls after strength check;Compared to the casting of wall thickness 30~50 Structure, has more preferable economy while reducing the weight of mainframe, reduce processing capacity.
5. the air channel of the cabin told according to claim 1:When generating electricity windward, air by the air inlet duct A on cabin (9) top and Tower inside air channel B is inhaled into, and air is discharged by the air outlet C of cabin afterbody;The air channel is including but not limited to above-mentioned Form, it is also possible to arrange as follows:For realize rainproof function A mouthfuls can also by opening direction towards cabin caudal, while Increase draft fan at A mouths and air is sucked into engine room inside by force by nacelle exterior, while can be come with ventilating fan all day at C mouthfuls Increase the speed air flow in cabin.
CN201710247830.8A 2017-04-17 2017-04-17 A kind of medium-sized low-speed permanent magnetic direct-drive Wind turbines and its Parameter Self-learning control method Pending CN106837704A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108052724A (en) * 2017-12-08 2018-05-18 长沙学院 A kind of unit cost annual energy production optimised method of permanent-magnetic wind driven generator
CN115580082A (en) * 2022-10-24 2023-01-06 江阴市海达电机冲片有限公司 Heat dissipation processing system and method for iron core of variable-pitch servo motor of wind turbine generator

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020084655A1 (en) * 2000-12-29 2002-07-04 Abb Research Ltd. System, method and computer program product for enhancing commercial value of electrical power produced from a renewable energy power production facility
JP2007056686A (en) * 2005-08-22 2007-03-08 Univ Of Ryukyus Device for predicting power generated after several hours on basis of predicted wind velocity in wind power generator
EP2541052A1 (en) * 2011-06-30 2013-01-02 Siemens Aktiengesellschaft Controlling a wind turbine using a neural network function
CN102889176A (en) * 2011-07-19 2013-01-23 西门子公司 Control of a wind turbine, rotor blade and wind turbine
CN103485977A (en) * 2013-09-06 2014-01-01 河海大学 Correcting method of wind power generation system power real-time prediction
CN203948227U (en) * 2014-06-27 2014-11-19 沈阳工业大学自控技术研究所 A kind of medium-sized low-speed permanent magnetic direct-drive wind power generating set
CN104454346A (en) * 2014-11-09 2015-03-25 华北电力大学(保定) Maximum power tracking control method for small permanent-magnet direct-drive wind power generation system
CN104564519A (en) * 2013-10-22 2015-04-29 同济大学 Wind power integration power control method combining pitch angle control and supercapacitors

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020084655A1 (en) * 2000-12-29 2002-07-04 Abb Research Ltd. System, method and computer program product for enhancing commercial value of electrical power produced from a renewable energy power production facility
JP2007056686A (en) * 2005-08-22 2007-03-08 Univ Of Ryukyus Device for predicting power generated after several hours on basis of predicted wind velocity in wind power generator
EP2541052A1 (en) * 2011-06-30 2013-01-02 Siemens Aktiengesellschaft Controlling a wind turbine using a neural network function
CN102889176A (en) * 2011-07-19 2013-01-23 西门子公司 Control of a wind turbine, rotor blade and wind turbine
CN103485977A (en) * 2013-09-06 2014-01-01 河海大学 Correcting method of wind power generation system power real-time prediction
CN104564519A (en) * 2013-10-22 2015-04-29 同济大学 Wind power integration power control method combining pitch angle control and supercapacitors
CN203948227U (en) * 2014-06-27 2014-11-19 沈阳工业大学自控技术研究所 A kind of medium-sized low-speed permanent magnetic direct-drive wind power generating set
CN104454346A (en) * 2014-11-09 2015-03-25 华北电力大学(保定) Maximum power tracking control method for small permanent-magnet direct-drive wind power generation system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
王湘明等: "基于神经元网络的液压变距自适应控制", 《太阳能学报》 *
高鹏飞等: "自学习优化算法对风电机组的功率控制", 《风能》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108052724A (en) * 2017-12-08 2018-05-18 长沙学院 A kind of unit cost annual energy production optimised method of permanent-magnetic wind driven generator
CN115580082A (en) * 2022-10-24 2023-01-06 江阴市海达电机冲片有限公司 Heat dissipation processing system and method for iron core of variable-pitch servo motor of wind turbine generator
CN115580082B (en) * 2022-10-24 2023-03-17 江阴市海达电机冲片有限公司 Heat dissipation processing system and method for iron core of variable-pitch servo motor of wind turbine generator

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Application publication date: 20170613