CN104018988B - The wind power generating set monitoring system of physically based deformation component model and real time data - Google Patents

The wind power generating set monitoring system of physically based deformation component model and real time data Download PDF

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CN104018988B
CN104018988B CN201410268357.8A CN201410268357A CN104018988B CN 104018988 B CN104018988 B CN 104018988B CN 201410268357 A CN201410268357 A CN 201410268357A CN 104018988 B CN104018988 B CN 104018988B
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blade
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unit
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CN104018988A (en
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刘成良
汪一波
黄亦翔
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Shanghai Jiaotong University
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    • 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

Abstract

nullThe physically based deformation component model in a kind of Engine Block Test field and the wind power generating set monitoring system of real time data,Wind regime input module receives the real-time wind regime information that power plant obtains,This real-time wind regime information is delivered separately to control system and blade physical modeling's module,Control system sends yaw system control strategy to yaw control module,Pitch-variable system control strategy is sent to feather manipulation module,Yaw control module generates the cabin anglec of rotation and angular velocity thereof and angular acceleration information and passes to blade physical modeling's module,Feather manipulation module generates the blade anglec of rotation and angular velocity thereof and angular acceleration information and passes to blade physical modeling's module,Blade physical modeling's module is by the information of acquisition and vane stress with by the target moment obtaining blade after moment informix、Rotating speed of target and target angular acceleration information also pass to transmission module,Transmission module output power information.The prediction that the present invention is Wind turbines performance failure provides double verification.

Description

The wind power generating set monitoring system of physically based deformation component model and real time data
Technical field
The present invention relates to the system in a kind of Engine Block Test field, specifically the wind power generating set monitoring system of a kind of physically based deformation component model and real time data.
Background technology
According to WWEA (WWEA) 2010 year, to the end of the year in 2010, whole world wind power generating set generated energy accounts for the 2.5% of global power consumption, reaches 430TWh, and this numerical value is more than the total annual need for electricity of the sixth-largest economy Britain of the world (60,000,000 population).Expecting the year two thousand twenty, whole world installation total amount will more than 1,500,000MW.Ending the end of the year in 2010, China has become as the country that wind energy installed capacity is maximum, and becomes the center of international wind energy industry.New installed capacity in 2010 will be expected to reach 18,928MW, will exceed the 50% of the new installed capacity of whole world year.For wind power plant, the cost of wind power generating set and the cost of its operation maintenance become conclusive commercial factors.Wind energy turbine set is built in the remote districts away from city and greater coasting area more, and for land counterpart wind power generating set, operation expense accounts for the 10%~15% of unit price of power, and for offshore type wind power generating set, its ratio is close to 25%~30%.Add area traffic inconvenience, and wind power generating set is in high-altitude, thus the maintenance of wind power generating set is extremely difficult;If ground need to be winched to do fault diagnosis, maintenance or replacing, then needing to spend bigger man power and material, maintenance cost may reach millions of RMB.So, exploitation adopts effective on-line monitoring and fault diagonosing system: within the projected life of wind power generating set, unit monitors running status in real time, analyze operational factor, before breaking down, it is diagnosed to be the potential safety hazard of blower fan in time, arranges rational maintenance scheme just to seem very necessary.
As shown in Figure 1, there are at present some generic state Application of Monitoring System to wind power generation field, these monitoring systems, by increasing corresponding sensor at critical component, receive corresponding parameter information, are then uploaded to host computer and carry out the effect that Parameter analysis reaches to monitor and diagnose.General parameters data signal passes through sensor acquisition, and through amplifying, filtering etc. operates and is uploaded to host computer, and host computer may be mounted near wind field here, it is also possible to Remote Installation.Then pass through:
First, spectrum analysis.Vibration signal and power signal are carried out Fourier transformation and obtains the frequency domain spectra of signal, diagnose hidden danger and the fault of unit from the ANOMALOUS VARIATIONS of frequency.
Second, artificial intelligence analysis.As data are carried out the method that Fast Classification draws fault and the marginal method of non-faulting and fault diagnosis expert system by neutral net.Core is to be reached rote learning and the purpose of diagnosis automatically by certain relation between the Database system failure and sign.
3rd, the method for wavelet analysis.Band segment at high frequency amplifies yardstick, and the part at low frequency reduces yardstick, improves the adaptivity of time discrimination degree and the signal analyzed.With this effect reaching to obtain fault-signal.
The exploitation of the monitoring system of present blower fan is all based on above development mode, is used in what different software platforms carried out.Its main thought is the sensor increasing key component in existing wind power generating set, is analyzed to signal improve the reliability of monitoring system and reach the effect of early warning and accident analysis by increasing host computer.
Through the retrieval of prior art is found, Chinese patent literature CN101858778, publication date 2,010 10 13, describe a kind of wind generator set automatic fault diagnosis method based on vibration monitoring, original vibration signal is gathered by acceleration transducer, preposition communication subsystem completes data storage and uploads, and central monitoring server receives data and is stored in data base.The method also need to set up fault characteristic frequency storehouse in data base, as the foundation of fault diagnosis.But this automatic diagnosis method extremely relies on accuracy and the integrity of the property data base set up, and the engineering of signal processing is also completely dependent on the accuracy of algorithm.For lacking the newly-built Wind turbines of data base and lacking the fault type of theoretical basis and algorithm, this diagnostic method is just unable to reach intended fault detect effect.
Summary of the invention
The present invention is directed to prior art above shortcomings, the wind power generating set monitoring system of a kind of physically based deformation component model and real time data is provided, not only the state of wind power generating set is monitored, the also malfunction of simulated wind electromotor, thus the prediction for Wind turbines performance failure provides mechanism monitoring and data-driven model double verification.
nullThe present invention is achieved by the following technical solutions,The present invention includes: wind regime input module、Control system、Feather manipulation module、Yaw control module、Blade physical modeling's module and transmission module,Wherein: wind regime input module receives the real-time wind regime information that power plant obtains,This real-time wind regime information is delivered separately to control system and blade physical modeling's module,Control system sends yaw system control strategy to yaw control module,Pitch-variable system control strategy is sent to feather manipulation module,Yaw control module generates the cabin anglec of rotation and angular velocity thereof and angular acceleration information and passes to blade physical modeling's module,Feather manipulation module generates the blade anglec of rotation and angular velocity thereof and angular acceleration information and passes to blade physical modeling's module,Blade physical modeling's module is by the information of acquisition and vane stress with by the target moment obtaining blade after moment informix、Rotating speed of target and target angular acceleration information also pass to transmission module,Transmission module output power information.
Described wind regime input module includes: wind regime input block and system input unit, wherein: wind regime input block is by after real-time wind regime information analysis one_to_one corresponding, passing to system input unit, these information are passed to control system and blade physical modeling's module by system input unit.
Described real-time wind regime information includes: real-time wind speed and direction information.
Described control system includes: main control unit, variable pitch control module and driftage control module, wherein: main control unit receives the real-time wind regime information of wind regime input module and generates main control strategy, and it is respectively sent to variable pitch control module and driftage control module, variable pitch control module generation pitch-variable system control strategy also transmits to feather manipulation module, and driftage controls module generation yaw system control strategy and transmits to yaw control module.
Described main control unit includes: air-blower control policy unit and for controlling the fan starting unit of blade drift angle and cabin yaw angle, wherein: air-blower control policy unit judges, according to real-time wind regime information, the duty that wind-driven generator should be in, generate the control strategy under this state corresponding and export to fan starting unit.
Described variable pitch control module includes: for calculating opened loop control computer and the closed loop controller of feather demand, wherein: opened loop control computer calculates needed for current vane propeller pitch angle by real-time wind regime information and transmits to closed loop controller, closed loop controller according to propeller pitch angle needed for current vane, combine the propeller pitch angle of actual blade, the negative-feedback information of deflection speed calculates now actual drift angle, drift angle speed and angular acceleration pass feather manipulation module needed for blade.
Described driftage controls module and includes: driftage control unit, proportion adjustment controller, integral adjustment controller and yawing velocity restriction device, wherein: driftage control unit collects cabin real-time position information, and the change according to wind direction defines yaw angle, undertaken the yaw angle of definition and real-time drift angle, cabin and yawing velocity contrasting and obtaining the torque demand of yaw motor in conjunction with negative-feedback information and export to proportion adjustment controller, integral adjustment controller and yawing velocity restriction device, yawing velocity restriction device exports the torque demand of yaw motor to yaw control module.
Described cabin real-time position information refers to the relative drift angle in cabin and wind direction, this relative drift angle change real-time change according to wind direction.
Described feather manipulation module includes: the kinematic pair unit of hydraulic means unit, connection hydraulic means, actuator unit and control feather actuator, wherein: hydraulic means unit provides power according to the pitch-variable system control strategy controlling system and transmits connection hydraulic means and kinematic pair unit successively, action message is passed to actuator unit by kinematic pair unit, actuator unit makes corresponding action, completes the deflection of blade.
Described yaw control module includes: four decelerating step motor unit and a motor controller units, wherein: motor controller units receives the yaw system control strategy of control system and respectively to four decelerating step motor unit output driftage operation signals, four stepping motor synchronous motions, common drive cabin rotates about tower, it is achieved the driftage in cabin.
Described blade physical modeling's module includes: blade stress analysis unit and blade physical model unit, wherein: blade stress analysis unit is calculated the rotating speed of blade by the real-time wind regime information of analytical calculation and the blade geometry parameter prestored, calculated the angle of attack of blade by propeller pitch angle, calculated lift coefficient and the resistance coefficient of blade by the angle of attack of blade, and comprehensively draws lift and the resistance of blade;Blade stress analysis unit calculates the positional information of blade additionally by the geometric parameter of lift, resistance, the angle of attack and blade, the blade physical model unit that coordinate is passed to, realize the visual function of blade, the blade physical model unit positional information according to blade, produce to rotate, and moment, rotating speed and angular acceleration information are passed to transmission module.
Described transmission module includes: main shaft module, gearbox module and generator module, wherein: sequentially pass through main shaft module from the target moment of blade of blade physical modeling's module, rotating speed of target and target angular acceleration information, gearbox module processes and transmits to generator module, generator module output power information.
Described power information includes: output and three-phase voltage information.
Native system is operated in the following manner: according to the monitoring system under various default malfunctions, the real-time wind regime information of wind power plant is inputted in the monitoring system to this malfunction, the virtual faults parameter that system simulation runs, produces and export under various malfunction;Wind power plant is started shooting under physical fault state the produced physical fault parameter of operation generating compared with the virtual faults parameter under various malfunctions, when the situation of coupling occurs, can determine that corresponding malfunction.
The present invention utilizes physical assemblies model virtual to run and real time data carries out contrasting the function reaching monitoring wind power generating set, has reformed the monitoring pattern of monitoring system.Not only the state of wind power generating set is monitored, sets up the operating mode archives of wind power generating set, make failure predication and diagnosis in time;The also malfunction of simulated wind electromotor, thus the prediction for Wind turbines performance failure provides mechanism monitoring and data-driven model double verification.
Accompanying drawing explanation
Fig. 1 is existing wind power generating set monitoring system method schematic flow sheet;
Fig. 2 is present system structural representation;
Fig. 3 is Control system architecture schematic diagram of the present invention;
Fig. 4 is transmission module structural representation of the present invention;
Fig. 5 is physically based deformation component model of the present invention and real time data wind power generating set monitoring method flow chart;
The prediction that Fig. 6 is physically based deformation component model Wind turbines performance failure of the present invention provides mechanism detection method flow chart.
Detailed description of the invention
Below embodiments of the invention being elaborated, the present embodiment is carried out under premised on technical solution of the present invention, gives detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
Embodiment 1
nullAs shown in Figure 2,The present embodiment includes: wind regime input module、Control system、Feather manipulation module、Yaw control module、Blade physical modeling's module and transmission module,Wherein: wind regime input module receives the real-time wind regime information that power plant obtains,This real-time wind regime information is delivered separately to control system and blade physical modeling's module,Control system sends yaw system control strategy to yaw control module,Pitch-variable system control strategy is sent to feather manipulation module,Yaw control module generates the cabin anglec of rotation and angular velocity thereof and angular acceleration information and passes to blade physical modeling's module,Feather manipulation module generates the blade anglec of rotation and angular velocity thereof and angular acceleration information and passes to blade physical modeling's module,Blade physical modeling's module is by the information of acquisition and vane stress with by the moment obtaining blade after moment informix、Rotating speed and angular acceleration information also pass to transmission module,Transmission module output power information.
Described real-time wind regime information includes: real-time wind speed and direction information.
As shown in Figure 3, described control system includes: main control unit, variable pitch control module and driftage control module, wherein: main control unit receives real-time wind regime information and generates main control strategy, main control strategy is respectively sent to variable pitch control module by main control unit and driftage controls module, variable pitch control module generation pitch-variable system control strategy also transmits to feather manipulation module, and driftage controls module generation yaw system control strategy and transmits to yaw control module.
Described main control unit includes: air-blower control policy unit and for controlling the fan starting unit of blade drift angle and cabin yaw angle, wherein: air-blower control policy unit judges, according to real-time wind regime information, the duty that wind-driven generator should be in, generate the control strategy under this state corresponding and export to fan starting unit.
Described variable pitch control module includes: for calculating opened loop control computer and the closed loop controller of feather demand, wherein: opened loop control computer calculates needed for current vane propeller pitch angle by real-time wind regime information and transmits to closed loop controller, closed loop controller according to propeller pitch angle needed for current vane, combine the propeller pitch angle of actual blade, the negative-feedback information of deflection speed calculates now actual drift angle, drift angle speed and angular acceleration pass feather manipulation module needed for blade.
Described driftage controls module and includes: driftage control unit, proportion adjustment controller, integral adjustment controller and yawing velocity restriction device, wherein: driftage control unit collects cabin real-time position information, and the change according to wind direction defines yaw angle, undertaken the yaw angle of definition and real-time drift angle, cabin and yawing velocity contrasting and obtaining the torque demand of yaw motor in conjunction with negative-feedback information and export to proportion adjustment controller, integral adjustment controller and yawing velocity restriction device, yawing velocity restriction device exports the torque demand of yaw motor to yaw control module.
Described cabin real-time position information refers to: the relative drift angle of cabin and wind direction.This relative drift angle change real-time change according to wind direction.
Described feather manipulation module includes: the kinematic pair unit of hydraulic means unit, connection hydraulic means, actuator unit and control feather actuator, wherein: hydraulic means unit provides power according to the pitch-variable system control strategy controlling system and transmits connection hydraulic means and kinematic pair unit successively, action message is passed to actuator unit by kinematic pair unit, actuator unit makes corresponding action, completes the deflection of blade.
Described yaw control module includes: four decelerating step motor unit and a motor controller units, wherein: motor controller units receives the yaw system control strategy of control system and respectively to four decelerating step motor unit output driftage operation signals, four stepping motor synchronous motions, common drive cabin rotates about tower, it is achieved the driftage in cabin.
Described blade physical modeling's module includes: blade stress analysis unit and blade physical model unit, wherein: blade stress analysis unit is calculated the rotating speed of blade by the real-time wind regime information of analytical calculation and the blade geometry parameter prestored, calculated the angle of attack of blade by propeller pitch angle, calculated lift coefficient and the resistance coefficient of blade by the angle of attack of blade, and comprehensively draws lift and the resistance of blade;Blade stress analysis unit calculates the positional information of blade additionally by the geometric parameter of lift, resistance, the angle of attack and blade, the blade physical model unit that coordinate is passed to, realize the visual function of blade, the blade physical model unit positional information according to blade, produce to rotate, and moment, rotating speed and angular acceleration information are passed to transmission module.
As shown in Figure 4, described transmission module includes: main shaft module, gearbox module and generator module, wherein: the moment of blade, rotating speed and angular acceleration information sequentially pass through main shaft module, gearbox module processes and transmits to generator module, generator module output power information.
Described power information includes: output and three-phase voltage information.
Except the information that above intermodule transmits, physical assemblies model module can also export the gear-box of wind power generating set, main shaft, electromotor, base bearing, hydraulic system, yaw system, lubricating system, brake system, pitch-variable system, the characteristic parameter of each parts of blade physical model.Such as the torque of main shaft, hydraulic system intrinsic pressure, the oil pressure of lubricating system.
Embodiment 2
Such as Fig. 5, the wind power generating set of physically based deformation component model and real time data monitors system, comprises the steps:
Set up the wind power generating set physical assemblies model meeting wind power generating set control strategy and specified input and output.Model meets the 26S Proteasome Structure and Function described in embodiment 1.Model has the copying of high accuracy, it is possible to export the parameters of each parts under wind power generating set normal operating condition in theory, and Automatic Drawing goes out table.
By being arranged in the sensor collection power plant wind regime information of wind power plant, including real-time wind speed and direction, derived by digital monitoring system and be transferred to physical assemblies model wind regime input module.
The real-time wind regime information that physical assemblies mode input obtains, including wind speed and direction, virtual operation wind power generating set, and sets up visible user interface.Now, wind power generating set actual in power plant is also in synchronous operation, and the real-time wind regime information that the wind regime condition of its operation inputs with model is consistent.
Wind power generating set model virtual runs, and exports wind power generating set intended work information and parameter when normal operation table of drawing out, will the trend of data in particular diagram be predicted time necessary.
The wind power generating set of actual motion, by being arranged on the sensor on wind-driven generator, exports, by digital monitoring system and digital safety system, work information and the parameter that wind power generating set actual operation obtains.
After carrying out data characteristics analyzing and processing, the work information of contrast wind turbine power generation unit model virtual operation and the output of wind power generating set actual motion and parameter, judge wind power generating set operation conditions, if deviation is within acceptable safety range, then judge that wind-driven generator is properly functioning, by introduced feature data base, it was predicted that fault that wind power generating set is likely to occur and parts;If relatively large deviation occur in data, then system is called the fault data of property data base and is compared, and carries out the trend analysis of characteristic parameter, automatically diagnosis wind power generating set fault type, position and degree.
Embodiment 3
Such as Fig. 6, the prediction of Wind turbines performance failure is provided mechanism detection method by the wind power generating set monitoring system of physically based deformation component model and real time data, comprises the steps:
Set up the physical assemblies model under the wind power generating set malfunction meeting control strategy and specified input and output.
Set up the model under malfunction and have only to the module to the previously established wind power generating set physical assemblies model meeting wind power generating set control strategy and specified input and output or parameter is modified, as changed the gear ratio simulation gear-box state of wear of gear-box;Change blade stress analysis module computing formula simulation blade loss state etc..
Transferred in real time or history wind regime information by digital monitoring system, including wind speed and direction, be transferred to physical assemblies model.
The wind regime information that physical assemblies mode input obtains, including wind speed and direction, the wind-driven generator group model of virtual operation malfunction;Can also inputting the wind field wind regime information of simulation in wind-driven generator group model in normal state, such as extreme wind speeds, sudden change wind direction is simulate the non-normal working operation of harsh environments apparatus for lower wind electromotor, and sets up visible user interface.
Wind power generating set model virtual runs, under output malfunction or the work information of adverse circumstances apparatus for lower wind generating set and running parameter.
The each parts work information obtained and running parameter are carried out feature analysis process.Transfer history wind power generating set fault-detection data, mate by comparing with the parameters and trend of simulation, the accuracy of detection failure predication, validation fault mechanism.
If checking mechanism is not mated with historical data feature, then again data are carried out feature analysis, again carry out Mechanism Validation, until checking mechanism data reach to mate with history feature data.
After Mechanism Validation coupling, by under malfunction or the work information of adverse circumstances apparatus for lower wind generating set and parameter be stored in data base, simultaneously by the content data-in storehouse of fault.Data base sets up knowledge base: the classification storage each component feature parameter of wind-driven generator, and characteristic parameter trend.Foundation as fault diagnosis.
Property data base uses for embodiment 2, contrast and analyze work information when wind turbine power generation unit actually occurs fault and parameter, checking and supplementary wind power generating set fault type, position and degree.

Claims (7)

  1. null1. the wind power generating set monitoring system of a physically based deformation component model and real time data,It is characterized in that,Including: wind regime input module、Control system、Feather manipulation module、Yaw control module、Blade physical modeling's module and transmission module,Wherein: wind regime input module receives the real-time wind regime information that power plant obtains,This real-time wind regime information is delivered separately to control system and blade physical modeling's module,Control system sends yaw system control strategy to yaw control module,Pitch-variable system control strategy is sent to feather manipulation module,Yaw control module generates the cabin anglec of rotation and angular velocity thereof and angular acceleration information and passes to blade physical modeling's module,Feather manipulation module generates the blade anglec of rotation and angular velocity thereof and angular acceleration information and passes to blade physical modeling's module,Blade physical modeling's module is by the information of acquisition and vane stress with by the target moment obtaining blade after moment informix、Rotating speed of target and target angular acceleration information also pass to transmission module,Transmission module output power information;
    Described wind regime input module includes: wind regime input block and system input unit, wherein: wind regime input block is by after real-time wind regime information analysis one_to_one corresponding, passing to system input unit, these information are passed to control system and blade physical modeling's module by system input unit;
    Described control system includes: main control unit, variable pitch control module and driftage control module, wherein: main control unit receives the real-time wind regime information of wind regime input module and generates main control strategy, and it is respectively sent to variable pitch control module and driftage control module, variable pitch control module generation pitch-variable system control strategy also transmits to feather manipulation module, and driftage controls module generation yaw system control strategy and transmits to yaw control module;
    Described main control unit includes: air-blower control policy unit and for controlling the fan starting unit of blade drift angle and cabin yaw angle, wherein: air-blower control policy unit judges, according to real-time wind regime information, the duty that wind-driven generator should be in, generate the control strategy under this state corresponding and export to fan starting unit.
  2. 2. system according to claim 1, it is characterized in that, described variable pitch control module includes: for calculating opened loop control computer and the closed loop controller of feather demand, wherein: opened loop control computer calculates needed for current vane propeller pitch angle by real-time wind regime information and transmits to closed loop controller, closed loop controller according to propeller pitch angle needed for current vane, combine the propeller pitch angle of actual blade, the negative-feedback information of deflection speed calculates now actual drift angle, drift angle speed and angular acceleration pass feather manipulation module needed for blade.
  3. 3. system according to claim 1, it is characterized in that, described driftage controls module and includes: driftage control unit, proportion adjustment controller, integral adjustment controller and yawing velocity restriction device, wherein: driftage control unit collects cabin real-time position information, and the change according to wind direction defines yaw angle, undertaken the yaw angle of definition and real-time drift angle, cabin and yawing velocity contrasting and obtaining the torque demand of yaw motor in conjunction with negative-feedback information and export to proportion adjustment controller, integral adjustment controller and yawing velocity restriction device, yawing velocity restriction device exports the torque demand of yaw motor to yaw control module.
  4. 4. the system according to claim 1,2 or 3, it is characterized in that, described feather manipulation module includes: the kinematic pair unit of hydraulic means unit, connection hydraulic means, actuator unit and control feather actuator, wherein: hydraulic means unit provides power according to the pitch-variable system control strategy controlling system and transmits connection hydraulic means and kinematic pair unit successively, action message is passed to actuator unit by kinematic pair unit, actuator unit makes corresponding action, completes the deflection of blade.
  5. 5. the system according to claim 1,2 or 3, it is characterized in that, described yaw control module includes: four decelerating step motor unit and a motor controller units, wherein: motor controller units receives the yaw system control strategy of control system and respectively to four decelerating step motor unit output driftage operation signals, four stepping motor synchronous motions, common drive cabin rotates about tower, it is achieved the driftage in cabin.
  6. 6. the system according to claim 1,2 or 3, it is characterized in that, described blade physical modeling's module includes: blade stress analysis unit and blade physical model unit, wherein: blade stress analysis unit is calculated the rotating speed of blade by the real-time wind regime information of analytical calculation and the blade geometry parameter prestored, calculated the angle of attack of blade by propeller pitch angle, calculated lift coefficient and the resistance coefficient of blade by the angle of attack of blade, and comprehensively draws lift and the resistance of blade;Blade stress analysis unit calculates the positional information of blade additionally by the geometric parameter of lift, resistance, the angle of attack and blade, the blade physical model unit that coordinate is passed to, realize the visual function of blade, the blade physical model unit positional information according to blade, produce to rotate, and moment, rotating speed and angular acceleration information are passed to transmission module.
  7. 7. the system according to claim 1,2 or 3, it is characterized in that, described transmission module includes: main shaft module, gearbox module and generator module, wherein: sequentially pass through main shaft module from the target moment of blade of blade physical modeling's module, rotating speed of target and target angular acceleration information, gearbox module processes and transmits to generator module, generator module output power information.
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CN103629048A (en) * 2013-12-20 2014-03-12 济南轨道交通装备有限责任公司 Intelligent pitch control system of wind turbine generator and pitch control method thereof

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