CN107642457A - A kind of wind-driven generator set of long-period control parameter self-adjusting system and method - Google Patents
A kind of wind-driven generator set of long-period control parameter self-adjusting system and method Download PDFInfo
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- CN107642457A CN107642457A CN201610575895.0A CN201610575895A CN107642457A CN 107642457 A CN107642457 A CN 107642457A CN 201610575895 A CN201610575895 A CN 201610575895A CN 107642457 A CN107642457 A CN 107642457A
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Abstract
The present invention discloses a kind of wind-driven generator set of long-period control parameter self-adjusting system and method, and its described system includes：Wind-driven generator group model, control parameter maker and control strategy module, wherein：The wind-driven generator group model is connected with the control strategy module, according to current wind speed, wind direction, according to the control strategy of controller, is carried out real time reaction, is completed various motion, output data；The control parameter maker is connected with the wind-driven generator group model and the control strategy module, the various data of the blower fan simulation model output are recorded in real time, and analysis and evaluation is carried out to data, according to data analysis assessment result, new control parameter is generated, and exports and gives control strategy module.
Description
Technical field
The present invention relates to the research of the control strategy of wind power generating set and assess, more particularly to a kind of wind-driven generator group leader
Cycle control parameters self-adjusting system and method.
Background technology
As shown in figure 1, being existing wind power generating set from standby to the schematic diagram for the process of generating electricity by way of merging two or more grid systems：In holding state
Under, when wind speed is more than incision wind speed, control system becomes propeller angle according to different wind friction velocity control, allows wind wheel to start to rotate,
When meeting grid-connected conditions, i.e., after rotating speed is more than grid-connected rotating speed, control system starts current transformer, starts to generate electricity by way of merging two or more grid systems.
Different according to wind speed after generating electricity by way of merging two or more grid systems, unit operation is illustrated in fig. 2 shown below in different working condition.Below A is
Opened loop control area (accelerating region)；BC is optimal tip speed ratio Operational Zone；CD is rated speed area, is rated power after D points
Area, now become propeller angle by adjusting, limit unit input power.
Different according to wind speed, four workspaces of unit operation (coordinate as shown in fig.3, being four works of wind power generating set
Make the schematic diagram in area)：
Constant-speed operation area one：Blower fan self-starting reaches minimum grid-connected rotating speed to rotating speed, then into constant speed workspace A, control
Device control blower fan is grid-connected, and as the increase of wind speed controls the power output of unit to increase, until reaching optimal Cp curves (Fig. 2
In B points)；
Optimal tip speed ratio Operational Zone：Controller controls fan operation, and dynamic adjusts blower fan on optimal Cp curves
Power output realizes maximal wind-energy capture；
Constant-speed operation area two：Now the motor speed of wind power generating set has reached rated speed, but power output
Rated value is also not up to, as the increase of wind speed controls the power output of unit to increase, until power output reaches rated value；
It is specified to operate above area：After power reaches rated value, controller control becomes propeller angle, uninstalls unnecessary wind energy,
Unit operation is maintained in rated speed and rated power.
More than in four workspaces, constant-speed operation area A, constant-speed operation area B need direct torque parameter, optimal blade tip speed
Optimal tip speed ratio gain parameter is needed than Operational Zone, specified to need pitch control parameter above, these parameters can be by short
Cycle emulation is optimized and adjusted.But driftage control during for the parameters such as the grid-connected rotating speed during a machine and the specified above
Parameter processed, lack effective optimization at present and adjust instrument, therefore, how to provide a kind of wind-driven generator set of long-period control parameter
Self-tuning System assessment system and method, it is possible to achieve to the research direction of the Self-tuning System of these parameters, as those skilled in the art
Place.
The content of the invention
In order to achieve the above object, the present invention provide a kind of wind-driven generator set of long-period control parameter self-adjusting system and
The problem of method, influenceing generated energy and rack load to have solved machine and driftage parameter, but being the absence of adjusting instrument.
In order to achieve the above object, the present invention provides a kind of wind-driven generator set of long-period control parameter self-adjusting system,
Including：
Wind-driven generator group model, control parameter maker and control strategy module, wherein：
The wind-driven generator group model is connected with the control strategy module, according to current wind speed, wind direction, according to control
The control strategy of device processed, real time reaction is carried out, complete various motion, output data；
The control parameter maker is connected with the wind-driven generator group model and the control strategy module, in real time note
The various data of the blower fan simulation model output are recorded, and analysis and evaluation is carried out to data, it is raw according to data analysis assessment result
Cheng Xin control parameter, and export and give control strategy module.
In preferable embodiment, the wind-driven generator group model includes all machine driven systems, wind model, becomes oar
System model, generator model and current transformer model.
In preferable embodiment, the wind speed and direction data that are obtained according to the wind model export wind-driven generator in real time
Group running status, generator speed, power, change propeller angle, yaw angle, tower load, blade loading and hubload.
In preferable embodiment, the control strategy module is as controller, including becomes oar, torque and driftage control and patrol
Volume.
In preferable embodiment, the control parameter maker includes：
Record, in real time statistical data analysis unit, record wind power generating set simulation model output data；
Optimal driftage control parameter unit is found, optimal driftage control parameter is found for constantly circulating；
Optimal machine control parameter is found, optimal machine control parameter is found for constantly circulating.
In preferable embodiment, the control strategy module includes torque controller, pitch control device and driftage control
Device, according to real-time measuring datas such as wind speed, generator speed, power, output it is expected torque, becomes propeller angle and it is expected yaw angle
Degree.
In order to achieve the above object, the present invention also provides a kind of wind-driven generator set of long-period control parameter Self-tuning System side
Method, comprise the following steps：
Step T1：Gather the wind field anemometer tower wind speed and direction data of 1 year；
Step T2：Establish certain type wind-driven generator group model；
Step T3：Establish control strategy module；
Step T4：Establish control parameter maker；
Step T5：According to step T1 to T4, complete long period control parameter self-adjusting system is established, by being circulated
Long period emulation, obtain optimal driftage, rise machine control parameter.
In preferable embodiment, in the step T4, control parameter maker is divided into two steps：
Step T41:Find optimal driftage control parameter；
Step T42:Find optimal machine control parameter.
In preferable embodiment, step T41 includes following sub-step：
Step T411：Driftage, play machine parameter tax initial value；
Step T412：Carry out next year emulation with initial parameter, will year air speed data input, carry out once complete imitative
Very；
Step T413：Data are counted after the completion of year emulation, calculate annual electricity generating capacity, tower load, blade loading
And hubload；
Step T414：Newest driftage parameter, and assignment are obtained from region of search；
Step T415：Year air speed data is inputted, carries out once complete emulation；
Step T416：Data are counted after the completion of year emulation, annual electricity generating capacity is calculated, judges whether annual electricity generating capacity increases
Add, if increase, then cylinder load, blade loading and hubload are counted, and evaluate whether to meet standard, if symbol
Close, then it is assumed that the parameter is better than upper one group of driftage control parameter；
Step T417：By that analogy, by constantly emulation, optimal driftage control parameter is finally searched.
In preferable embodiment, step T42 includes following sub-step：
Step T421：After driftage control parameter optimizing terminates, machine control parameter optimizing has been proceeded by；
Step T422：Play machine parameter and assign initial value；
Step T423：Carry out next year emulation with initial parameter, will year air speed data input, carry out once complete imitative
Very；
Step T424：Data are counted after the completion of year emulation, calculate annual electricity generating capacity, tower load, blade loading
And hubload；
Step T425：The machine parameter from region of search acquisition is newest, and assignment；
Step T426：Year air speed data is inputted, carries out once complete emulation；
Step T427：Data are counted after the completion of year emulation, annual electricity generating capacity is calculated, judges whether annual electricity generating capacity increases
Add, if increase, then cylinder load, blade loading and hubload are counted, and evaluate whether it meets standard, if symbol
Close, then it is assumed that the parameter plays machine control parameter better than upper one group；
Step T428：By that analogy, by constantly emulation, optimal machine control parameter is finally searched.
Compared with prior art, the beneficial effects of the present invention are：The present invention provides a kind of long period parameter self-tuning system
System and method, design considerations is provided to play machine and driftage control parameter, final realize improves unit reliability and generated energy, prolongs
Long unit durability, there is considerable economic value.
Brief description of the drawings
The Figure of description for forming the part of the application is used for providing a further understanding of the present invention, and of the invention shows
Meaning property embodiment and its illustrate be used for explain the present invention, do not form inappropriate limitation of the present invention.Wherein：
Fig. 1 is prior art wind power generating set from standby to the flow chart for the process of generating electricity by way of merging two or more grid systems；
Fig. 2 is wind power generating set rotational speed and torque corresponding relation figure；
Fig. 3 is the schematic diagram of four workspaces of wind power generating set；
Fig. 4 is the topological diagram of wind-driven generator set of long-period control parameter self-adjusting system of the present invention；
Fig. 5 is wind power generating set model composition frame chart of the present invention；
Fig. 6 A are control parameter maker composition frame chart of the present invention；
Fig. 6 B are control parameter maker flow chart of the present invention；
Fig. 7 is control strategy module composition frame chart of the present invention；
Fig. 8 is a kind of wind-driven generator set of long-period control parameter automatic setting method flow chart of the present invention.
Embodiment
Describe the present invention in detail below with reference to the accompanying drawings and in conjunction with the embodiments.It should be noted that in the feelings not conflicted
Under condition, the feature in embodiment and embodiment in the application can be mutually combined.
As shown in figure 4, be the topological diagram of wind-driven generator set of long-period control parameter self-adjusting system of the present invention, the present invention
Wind-driven generator set of long-period control parameter self-adjusting system include three modules：Wind-driven generator group model 1, control strategy
Module 2 and control parameter maker 3, wherein：
Wind-driven generator group model 1 is connected with control strategy module 2 and control parameter maker 3 respectively, wind-driven generator
Group model 1 carries out real time reaction according to current air speed data, wind direction data, according to control strategy module 2, has completed machine, simultaneously
Net, generating, become the data such as the action such as oar, driftage and shutdown, power output, generator speed, load.
Control strategy module 2, it is controller, including becomes the control logics such as oar, torque and driftage, for wind-driven generator
Group model 1 and control parameter maker 3 are controlled.
Control parameter maker 3 is connected with wind-driven generator group model 1 and control strategy module 2, records blower fan in real time and imitates
The various data that true mode 1 exports, and analysis and evaluation is carried out to data, according to data analysis assessment result, generate new control
Parameter, and export to control strategy module 2.Wherein, the input of control parameter maker 3 for driftage parameter search domain and plays machine ginseng
Number region of search, is the set of parameter, and the set is determined by electric, the mechanical property limit value of part.
Wind-driven generator group model 1 is used as input according to current air speed data, wind direction data, wherein, air speed data, wind
To data can be year air speed data, year wind direction data, can after once completely being emulated by wind-driven generator group model 1
To obtain the wind power generating set data of 1 year, after the data analysis to this year is assessed, generated newly by control parameter maker 3
Control parameter, export to control strategy module 2, then once completely emulated, circulated, can finally obtained optimal with this
Control parameter.
As shown in figure 5, being wind power generating set model composition frame chart of the present invention, wind-driven generator group model 1 includes becoming oar
System model 11, wind model 12, aerodynamic model 13, machine driven system model 14, generator and current transformer model 15, it is above-mentioned
Multiple models are the Real-Time Model of Wind turbines all parts.Wind-driven generator group model 1 can obtain according to wind model 12
The air speed data and wind direction data arrived, export in real time wind power generating set running status, generator speed, power, become propeller angle,
Yaw angle, tower load, blade loading and hubload.
Pitch-controlled system model 11:Pitch-controlled system includes variable propeller gearbox, pitch variable bearings etc., and it is controller according to generating to input
The expectation that machine rotating speed calculates becomes propeller angle βref, export and become propeller angle β to be actual.Difference between the two mainly due to：Become
The factors such as the efficiency of propeller gearbox, variable-paddle bearing friction power.
Wind model 12:Generate the turbulent wind specified, including wind speed, wind direction.
Aerodynamic model 13:Output impeller torque Tt, input as wind speed and impeller angular velocity of rotation Ωt。
Machine driven system model 14:Output impeller angular velocity of rotation ΩtWith generator amature angular velocity omegam, input as leaf
Take turns torque TtWith generator torque Tem.Meanwhile export tower load, blade loading and hubload.
Generator and current transformer model 15：By generator torque TemPower network current is converted into, is inputted as line voltage.
Moment controlling system 17：Receive controller torque instruction Tem ref, it is converted into current transformer voltage Vconverter。
Electric network model 16：The power network current for receiving generator and current transformer model provides line voltage Vgrid。
Control strategy module 2：Produce and it is expected torque Tem ref, it is expected propeller pitch angle βref。
Wherein：Ωt：Impeller angular velocity of rotation；
β：Propeller pitch angle；
Vv：Wind speed；
Tt：Impeller torque；
ωm：Generator amature angular speed；
Tem：Generator torque；
Tem ref：Generator torque；
Vconverter：Current transformer voltage；
Vgrid：Line voltage；
βref：It is expected propeller pitch angle.
As shown in Figure 6A, it is control parameter maker composition frame chart of the present invention, control parameter maker 3 includes record/system
Meter analysis data cell 31, find optimal driftage control parameter unit 32 and find optimal machine control parameter unit 33, wherein,
Record/statistical data analysis unit 31, for recording wind power generating set simulation model output data in real time, if
Simulation calculation is completed within 1 year, then year record data is counted.
Optimal driftage control parameter unit 32 is found, it is whether maximum using the annual electricity generating capacity of the parameter for judging, if
Maximum judges whether load meets standard again, and optimal driftage control parameter is found in constantly circulation.
Optimal machine control parameter unit 33 is found, judges to use the annual electricity generating capacity of the parameter whether maximum, if maximum
Judge whether load meets standard again, optimal machine control parameter is found in constantly circulation.
As shown in Figure 6B, it is control parameter maker flow chart of the present invention,
Control parameter maker final purpose is the optimal driftage of output, plays machine control parameter, is divided into two steps：
Step S1, optimal driftage control parameter is found, it includes following sub-step：
Step S11：Driftage, play machine parameter tax initial value；
Step S12：Carry out next year emulation with initial parameter, will year air speed data input, carry out it is once complete
Whole emulation；
Step S13：Data are counted after the completion of year emulation, calculate annual electricity generating capacity, tower load, leaf
Piece load and hubload；
Step S14：Newest driftage parameter, and assignment are obtained from region of search；
Step S15：Year air speed data is inputted, carries out once complete emulation；
Step S16：Data are counted after the completion of year emulation, annual electricity generating capacity is calculated, judges annual electricity generating capacity
Whether increase, if increase, then cylinder load, blade loading and hubload are counted, and comment
Whether it meets standard to valency, if met, then it is assumed that the parameter is better than upper one group of driftage control parameter；
Step S17：By that analogy, by constantly emulation, optimal driftage control parameter is finally searched.
Step S2, optimal machine control parameter is found, it includes following sub-step：
Step S21：After driftage control parameter optimizing terminates, machine control parameter optimizing has been proceeded by；
Step S22：Play machine parameter and assign initial value；
Step S23：Carry out next year emulation with initial parameter, will year air speed data input, carry out it is once complete
Whole emulation；
Step S24：Data are counted after the completion of year emulation, calculate annual electricity generating capacity, tower load, leaf
Piece load and hubload；
Step S25：The machine parameter from region of search acquisition is newest, and assignment；
Step S26：Year air speed data is inputted, carries out once complete emulation；
Step S27：Data are counted after the completion of year emulation, annual electricity generating capacity is calculated, judges annual electricity generating capacity
Whether increase.If increase, then cylinder load, blade loading and hubload are counted, and comment
Whether it meets standard to valency, if met, then it is assumed that the parameter plays machine control parameter better than upper one group；
Step S28：By that analogy, by constantly emulation, optimal machine control parameter is finally searched；
Step S29：Export optimal driftage, play machine control parameter.
As shown in fig. 7, being control strategy module composition frame chart, control strategy module 2 of the invention includes torque controller
21st, pitch control device 22 and yawer 23, according to real-time measuring datas such as wind speed, generator speed, power, output it is expected
Torque, become propeller angle and it is expected yaw angle.It is described in detail below for three modules：
Torque controller 21：Using rotating speed measured value and it is expected that rotating speed as the function of input, is exported it is expected that generator turns
Square.Constant-speed operation area one, optimal tip speed ratio Operational Zone and constant-speed operation area two, torque controller works.
Pitch control device 22：Using rotating speed measured value, it is expected that power, rotating speed arranges value schedule to last as the function inputted, output
Hope and become propeller angle.Specified to operate above area, pitch control device works.
Yawer 23：Using nacelle position measured value and wind direction as the function of input, export it is expected yaw angle.
Independently of torque controller and pitch control device, meet that driftage condition starts driftage.
As shown in figure 8, being a kind of wind-driven generator set of long-period control parameter automatic setting method flow chart, the present invention also carries
For a kind of wind-driven generator set of long-period control parameter automatic setting method, comprise the following steps：
Step T1：Gather the wind field anemometer tower wind speed and direction data of 1 year；
Step T2：Establish certain type wind-driven generator group model；
Wind-driven generator group model is as shown in Figure 5.
Step T3：Establish control strategy module；
Control strategy module is as shown in fig. 7, mainly include torque controller, pitch control device and yawer.
Step T4：Establish control parameter maker；
Control parameter maker flow chart is as shown in Figure 6B.The unit is nucleus module, and function includes：Judge that long period is imitated
After really terminating, the characteristic values such as annual electricity generating capacity, tower load, blade loading and hubload are extracted in simulation result, are sent out with year
It is basis for estimation that electricity highest and load, which meet standard, finds optimal control parameter.
Step T5：According to step T1 to T4, complete long period control parameter self-adjusting system is established.By being circulated
Long period emulation, obtain optimal driftage, play machine control parameter, realize the capture maximal wind-energy of wind power generating set safety
Control targe.
In summary, the present invention is with year wind speed, wind direction input wind-driven generator group model, and the model is according to current wind
Speed, wind direction, according to the control strategy of controller, real time reaction is carried out, completed machine, grid-connected, generating, become oar, driftage and shutdown
Deng data such as action, power output, generator speed, load.Complete emulation is carried out once, the wind-force hair of 1 year can be obtained
Group of motors data, after the data analysis to this year is assessed, new control parameter is generated by control parameter maker, is exported to control
Policy module processed, then once completely emulated, circulated with this, by contrasting different control parameters to load, generated energy etc.
Control effect, can finally obtain optimal control parameter.
Therefore, the present invention can provide a kind of long period parameter self-tuning system and method, to play machine and driftage control parameter
Design considerations is provided, final realize improves unit reliability and generated energy, extend unit durability, have considerable economic valency
Value.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for those skilled in the art
For member, the present invention can have various modifications and variations.Any modification within the spirit and principles of the invention, being made,
Equivalent substitution, improvement etc., should be included in the scope of the protection.
Claims (10)
- A kind of 1. wind-driven generator set of long-period control parameter self-adjusting system, it is characterised in that including：Wind-driven generator group model, control parameter maker and control strategy module, wherein：The wind-driven generator group model is connected with the control strategy module, according to current wind speed, wind direction, according to controller Control strategy, carry out real time reaction, complete various motion, output data；The control parameter maker is connected with the wind-driven generator group model and the control strategy module, records institute in real time The various data of blower fan simulation model output are stated, and analysis and evaluation is carried out to data, it is new according to data analysis assessment result, generation Control parameter, and export and give control strategy module.
- 2. wind-driven generator set of long-period control parameter self-adjusting system according to claim 1, it is characterised in that described Wind-driven generator group model includes all machine driven systems, wind model, pitch-controlled system model, generator model and current transformer mould Type.
- 3. wind-driven generator set of long-period control parameter self-adjusting system according to claim 1, it is characterised in that according to The wind speed and direction data that the wind model obtains, wind power generating set running status, generator speed, power, change are exported in real time Propeller angle, yaw angle, tower load, blade loading and hubload.
- 4. wind-driven generator set of long-period control parameter self-adjusting system according to claim 1, it is characterised in that described Control strategy module is as controller, including becomes oar, torque and driftage control logic.
- 5. wind-driven generator set of long-period control parameter self-adjusting system according to claim 1, it is characterised in that described Control parameter maker includes：Record, in real time statistical data analysis unit, record wind power generating set simulation model output data；Optimal driftage control parameter unit is found, optimal driftage control parameter is found for constantly circulating；Optimal machine control parameter is found, optimal machine control parameter is found for constantly circulating.
- 6. wind-driven generator set of long-period control parameter self-adjusting system according to claim 1, it is characterised in that described Control strategy module includes torque controller, pitch control device and yawer, according to wind speed, generator speed, power etc. Real-time measuring data, output it is expected torque, become propeller angle and it is expected yaw angle.
- 7. a kind of wind-driven generator set of long-period control parameter automatic setting method, it is characterised in that comprise the following steps：Step T1：Gather the wind field anemometer tower wind speed and direction data of 1 year；Step T2：Establish certain type wind-driven generator group model；Step T3：Establish control strategy module；Step T4：Establish control parameter maker；Step T5：According to step T1 to T4, complete long period control parameter self-adjusting system is established, passes through the length circulated Cycle emulates, and obtains optimal driftage, plays machine control parameter.
- A kind of 8. wind-driven generator set of long-period control parameter automatic setting method according to claim 7, it is characterised in that In the step T4, control parameter maker is divided into two steps：Step T41:Find optimal driftage control parameter；Step T42:Find optimal machine control parameter.
- A kind of 9. wind-driven generator set of long-period control parameter automatic setting method according to claim 8, it is characterised in that Step T41 includes following sub-step：Step T411：Driftage, play machine parameter tax initial value；Step T412：Carry out next year emulation with initial parameter, will year air speed data input, carry out once complete emulation；Step T413：Data are counted after the completion of year emulation, calculate annual electricity generating capacity, tower load, blade loading and wheel Hub load；Step T414：Newest driftage parameter, and assignment are obtained from region of search；Step T415：Year air speed data is inputted, carries out once complete emulation；Step T416：Data are counted after the completion of year emulation, annual electricity generating capacity is calculated, judges whether annual electricity generating capacity increases, If increase, then cylinder load, blade loading and hubload are counted, and evaluate whether to meet standard, if met, Think that the parameter is better than upper one group of driftage control parameter；Step T417：By that analogy, by constantly emulation, optimal driftage control parameter is finally searched.
- 10. a kind of wind-driven generator set of long-period control parameter automatic setting method according to claim 8, its feature exist In step T42 includes following sub-step：Step T421：After driftage control parameter optimizing terminates, machine control parameter optimizing has been proceeded by；Step S422：Play machine parameter and assign initial value；Step S423：Carry out next year emulation with initial parameter, will year air speed data input, carry out once complete emulation；Step S424：Data are counted after the completion of year emulation, calculate annual electricity generating capacity, tower load, blade loading and wheel Hub load；Step S425：The machine parameter from region of search acquisition is newest, and assignment；Step S426：Year air speed data is inputted, carries out once complete emulation；Step S427：Data are counted after the completion of year emulation, annual electricity generating capacity is calculated, judges whether annual electricity generating capacity increases, If increase, then cylinder load, blade loading and hubload are counted, and evaluate whether it meets standard, if met, Then think that the parameter plays machine control parameter better than upper one group；Step S428：By that analogy, by constantly emulation, optimal machine control parameter is finally searched.
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| CN109193785A (en) * | 2018-10-25 | 2019-01-11 | 浙江运达风电股份有限公司 | A kind of virtual inertia control method of large-scale wind electricity unit considering mechanical load constraint |
| CN109185055B (en) * | 2018-10-19 | 2020-02-07 | 南方电网科学研究院有限责任公司 | Method and device for quickly starting wind generating set and computer readable storage medium |
| CN113255130A (en) * | 2021-05-24 | 2021-08-13 | 中国华能集团清洁能源技术研究院有限公司 | Method and system for evaluating control performance of wind generating set |
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| CN109193785B (en) * | 2018-10-25 | 2020-09-08 | 浙江运达风电股份有限公司 | Large wind turbine generator virtual inertia control method considering mechanical load constraint |
| CN113255130A (en) * | 2021-05-24 | 2021-08-13 | 中国华能集团清洁能源技术研究院有限公司 | Method and system for evaluating control performance of wind generating set |
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