CN108105030B - A kind of yaw calibration method based on blower sensor - Google Patents
A kind of yaw calibration method based on blower sensor Download PDFInfo
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- 238000010977 unit operation Methods 0.000 claims abstract description 5
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/0204—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor for orientation in relation to wind direction
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/32—Wind speeds
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/321—Wind directions
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/335—Output power or torque
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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- General Engineering & Computer Science (AREA)
- Wind Motors (AREA)
Abstract
A kind of yaw calibration method based on blower sensor provided by the invention acquires the data unit operation in the T1 time by blower sensor first, and rejects to data abnormal in data；It is then based on unit simulation model, creates multivariable power matrix, constructs numerical value reference system；Again using the wind deflection in the T1 time as droop, obtains direction of flow and measure the relational expression of wind direction, obtain measured power and linearly first closed with the difference power obtained by multivariable power matrix；Optimum linearity degree of correlation method or minimum residual method are reused, optimal solution is acquired；The optimal solution acquired is finally inputed into controller of fan and carries out yaw compensation, realizes and set yaw is calibrated.On the basis of not increasing extras, solving the problems, such as the measurement of blower wind direction, there are deviations, realize zero cost yaw calibration, high reliablity, Maintenance free.Can batch application in existing unit, effectively improve Wind turbines yaw to the accuracy of wind, promote unit generated energy.
Description
Technical field
The present invention relates to yaw collimation technique fields, and in particular to the yaw calibration method based on blower sensor.
Background technique
Wind power generating set is a kind of device for converting wind energy into electric energy, energy is obtained from wind by wind wheel, by passing
Dynamic chain is transferred to generator and generates electricity, and usual large-scale wind driven generator is controlled by generator control wind wheel torque, pitch-controlled system
Blade pitch angle maintains blower stable operation under various wind regime.
Wind turbine power generation amount will be directly affected to wind accuracy, under the premise of executing precision with identical yaw, wind direction is surveyed
Amount, which exists, will lead to the wind direction that blower persistently tracks to mistake when offset, directly result in the reduction of generated energy, accurate wind direction is surveyed
Amount can effectively improve unit generation amount.Means applied to the measurement of fan yaw wind direction are mainly by two kinds: first is that passing through tradition
The mechanical anemoscope of cabin carry out wind direction measurement, because by blade wake, cabin shape, landform, maintenance and ageing equipment shadow
It rings, measurement wind direction is be easy to cause to deviate practical incoming flow wind direction.Second is that wind direction measurement is carried out by cabin formula laser radar, due to it
It is with high costs, do not have the basis of large-scale application still.
In the prior art, patent CN 201420751873.1 discloses a kind of wind generating set yaw calibration test system
System mainly installs laser radar by cabin and realizes set yaw calibration, being capable of fast accurate detection Wind turbines box haul change
The deviation of the yaw angle of change and practical wind direction.But it needs to install laser radar, higher cost does not have scale application
Condition.
A kind of wind turbine based on fan operation data is proposed in paper " research of Wind turbines drift correction analysis method "
Group drift correction method obtains yaw error angle by finding angular interval optimal power method, is limited in that this method only
Power curve comparison in section can be carried out using the data in optimum control area, it is higher to interval censored data integrity demands；In addition, should
Method not can be carried out power curve extrapolation, and there are be unable to get ideal yaw error in the case of larger yaw error.
Summary of the invention
For the defects in the prior art, the present invention provides a kind of yaw calibration method based on blower sensor, not
On the basis of increasing extras, solve the problems, such as that the measurement of blower wind direction realizes zero cost yaw calibration there are deviation, and can
By property height, Maintenance free.
A kind of yaw calibration method based on blower sensor provided by the invention, comprising the following steps:
S1, pass through blower sensor acquire the T1 time in data unit operation, comprising: generator power, atmospheric density,
Wind direction, wind speed, and abnormal data in fan operation data are rejected；
S2, be based on unit simulation model, creation wind speed, wind direction, atmospheric density multivariable power matrix, building numerical value ginseng
Lighting system；
S3, using the wind deflection in the T1 time as droop, obtain direction of flow and measure the relational expression of wind direction, obtain
It is related to the interpolation power linear obtained by multivariable power matrix to measured power；
S4, offset wind direction is traversed by vector operation according to measurement wind direction and corresponding atmospheric density, wind speed, often
Interpolation calculation is carried out under one offset wind direction, and finds out interpolation power and measured power fitting optimal solution；
S5, the optimal solution D that will be acquiredoffset_optIt inputs to controller of fan and carries out yaw compensation, realize to set yaw
Calibration.
Further, in S1 generator power, atmospheric density, wind direction, wind speed acquisition methods be the end acquisition system PLC
Or generator power, atmospheric density, wind direction, the wind speed at the end SCADA.
Further, multivariable power matrix is created in S2 method particularly includes: input wind speed Vs, wind direction Ds, air
Density pSThree Variables Sequences, take fixed turbulence intensity, calculate difference (Vs, Ds, ρS) under power P s, obtain multivariable function
Rate matrix Ps=M (Vs, Ds, ρS)。
Further, direction of flow and the relational expression for measuring wind direction in S3 are as follows: D∞=Dm+Doffset, wherein D∞It is next
Flow direction, DmTo measure wind direction, DoffsetTo deviate wind direction.
Further, the method for optimal solution is fitted in S4 are as follows: use optimum linearity degree of correlation method or minimum residual method.
Further, the calculation formula of optimum linearity degree of correlation method are as follows:
Corresponding i_ when finding out linearity highest
Opt, wherein Pm,zFor measured power (observation),For power prediction value,For the average value of observation.
Further, the calculation formula of minimum residual method are as follows:To find out the corresponding i_ of least residual
Opt, wherein Pm,zFor measured power (observation),For power prediction value,For the average value of observation.
Corresponding i_opt or least residual corresponding i_opt when further, according to the linearity highest found out, or
Person combines the two comprehensive assessment, final to determineAs the seat in the plane point corresponds to wind deflection.
As shown from the above technical solution, beneficial effects of the present invention:
The present invention provides a kind of yaw calibration method based on blower sensor, when acquiring T1 by blower sensor first
Interior data unit operation, and abnormal data in fan operation data are rejected；It is then based on unit emulation mould
Type creates multivariable power matrix, constructs numerical value reference system；Secondly using the wind deflection in the T1 time as droop,
It then obtains direction of flow and measures the relational expression of wind direction, the interpolation function for obtaining measured power and being obtained by multivariable power matrix
Rate is linearly first closed；Optimum linearity degree of correlation method or minimum residual method are reused, optimal solution is acquired；The optimal solution that will finally acquire
It inputs to controller of fan and carries out yaw compensation, realize and set yaw is calibrated.On the basis of not increasing extras, solve
There is deviation in blower wind direction measurement, realize zero cost yaw calibration, and high reliablity, Maintenance free.It can answer in batches
For existing unit, Wind turbines yaw is effectively improved to the accuracy of wind, to promote unit generated energy.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described.In all the appended drawings, similar element
Or part is generally identified by similar appended drawing reference.In attached drawing, each element or part might not be drawn according to actual ratio.
Fig. 1 is a kind of flow diagram of the yaw calibration method based on blower sensor of the present invention.
Fig. 2 be using it is of the invention it is a kind of based on the yaw calibration method of blower sensor to the progress of the seat in the plane certain wind field 2# point
Yaw calibration, yaw calibration front and back power scatter plot.
Fig. 3 be using it is of the invention it is a kind of based on the yaw calibration method of blower sensor to the progress of the seat in the plane certain wind field 2# point
Yaw calibration, yaw calibration front and back power graph.
Specific embodiment
It is described in detail below in conjunction with embodiment of the attached drawing to technical solution of the present invention.Following embodiment is only used for
Clearly illustrate technical solution of the present invention, therefore be only used as example, and cannot be used as a limitation and limit protection model of the invention
It encloses.
It should be noted that unless otherwise indicated, technical term or scientific term used in this application should be this hair
The ordinary meaning that bright one of ordinary skill in the art are understood.
Referring to Fig. 1, a kind of yaw calibration method based on blower sensor provided in this embodiment, including following step
It is rapid:
The first step acquires the data unit operation in the T1 time by blower sensor, specially from the end blower fan system PLC
Or the end SCADA obtains generator power Pm, atmospheric density ρm, wind direction DmWith wind speed Vm.And to abnormal in fan operation data
Data are rejected, and data, which are rejected, rejects interference data method using IEC61400-12-1-2005 standard；
Second step is based on unit simulation model, creates wind speed Vm, wind direction Dm, atmospheric density ρmMultivariable power matrix Ps
=M (Vs, Ds, ρS), construct numerical value reference system.Specifically: according to the unit simulation model for having passed through certification, input wind speed
Vs, wind direction Ds, atmospheric density ρSThree Variables Sequences, take fixed turbulence intensity, calculate difference (Vs, Ds, ρS) under power,
Obtain multivariable power matrix Ps=M (Vs, Ds, ρS)。
Third step, using the wind deflection in the T1 time as droop, then obtain direction of flow D∞=Dm+Doffset,
Middle DmTo measure wind direction, DoffsetTo deviate wind direction, then measured power PmWith the interpolation power P of multivariable power matrix∞Linear phase
It closes；
4th step, according to measurement wind direction DmAnd corresponding atmospheric density ρm, wind speed Vs by vector operation traverse it is all partially
Move wind direction Doffset, each offset wind direction DoffsetLower progress interpolation power P∞Interpolation calculation, and find out interpolation power P∞With reality
Power scale PmIt is fitted an optimal solution Doffset_opt, using optimum linearity degree of correlation method or minimum residual method, acquire incoming flow wind
To D∞=Dm+Doffset_opt。
The calculation formula of optimum linearity degree of correlation method are as follows:
Corresponding i_opt when finding out linearity highest, P in formula (1)m,zFor measured power (observation),For function
Rate predicted value,For the average value of observation.
The calculation formula of minimum residual method are as follows:
To find out the corresponding i_opt of least residual.P in formula (2)m,zFor measured power (observation),It is pre- for power
Measured value,For the average value of observation.
When according to the linearity highest found out corresponding i_opt perhaps the corresponding i_opt of least residual or combine both
Comprehensive assessment finally determines optimal solutionAs the seat in the plane point corresponds to wind deflection.
5th step utilizes the optimal solution D acquiredoffset_optIt inputs to controller of fan and carries out yaw compensation, realize to machine
Group yaw calibration.
In conjunction with practical wind field data, calculating assessment is carried out to multiple wind fields, it is theoretically inclined by being carried out according to the above method
After aviation school is quasi-, wind field generated energy is obviously improved, and realizes that zero cost improves wind field generated energy.
It please refers to Fig. 2 and Fig. 3, in practical application, utilizes a kind of yaw calibration side based on blower sensor of the invention
Method carries out yaw calibration to the seat in the plane certain wind field 2# point, yaws calibration front and back power scatter plot and Fig. 3 yaw calibration front and back by Fig. 2
Comparison between power graph, it is known that the present invention, which realizes, is not required to extra means, only relies on the signal of control system acquisition, can
Accurately yaw calibration is carried out to Wind turbines, effectively promotes unit generated energy.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme should all cover within the scope of the claims and the description of the invention.
Claims (6)
1. a kind of yaw calibration method based on blower sensor, it is characterised in that: the following steps are included:
S1, the data unit operation in the T1 time is acquired by blower sensor, comprising: generator power Pm, atmospheric density ρm、
Wind direction Dm, wind speed Vm, and abnormal data in fan operation data are rejected；
S2, be based on unit simulation model, creation wind speed, wind direction, atmospheric density multivariable power matrix, construct numerical value reference system
System；Create multivariable power matrix method particularly includes: input wind speed Vs, wind direction Ds, atmospheric density ρSThree Variables Sequences, take
Fixed turbulence intensity calculates the power P s under different input wind speed, wind direction, atmospheric density, obtains multivariable power matrix Ps
=M (Vs, Ds, ρS)；
S3, using the wind deflection in the T1 time as droop, obtain direction of flow and measure the relational expression of wind direction, obtain reality
Power scale is related to the interpolation power linear obtained by multivariable power matrix；The relational expression of direction of flow and measurement wind direction
Are as follows: D∞=Dm+Doffset, wherein D∞For direction of flow, DmTo measure wind direction, DoffsetTo deviate wind direction；
S4, offset wind direction is traversed by vector operation according to measurement wind direction and corresponding atmospheric density, wind speed, each
Interpolation calculation is carried out under offset wind direction, and finds out interpolation power and measured power fitting optimal solution；
S5, the optimal solution D that will be acquiredoffset_optIt inputs to controller of fan and carries out yaw compensation, realize and set yaw is calibrated.
2. a kind of yaw calibration method based on blower sensor according to claim 1, it is characterised in that: sent out in S1
Power of motor, atmospheric density, wind direction, wind speed acquisition methods be generator power, the sky at the end acquisition system PLC or the end SCADA
Air tightness, wind direction, wind speed.
3. a kind of yaw calibration method based on blower sensor according to claim 1, it is characterised in that: intend in S4
The method for closing optimal solution are as follows: use optimum linearity degree of correlation method or minimum residual method.
4. a kind of yaw calibration method based on blower sensor according to claim 3, it is characterised in that: optimum linearity
The calculation formula of degree of correlation method are as follows:
Corresponding i_opt when finding out linearity highest,
Wherein, Pm,zFor observation,For power prediction value,For the average value of observation.
5. a kind of yaw calibration method based on blower sensor according to claim 3, it is characterised in that: least residual
The calculation formula of method are as follows:To find out
The corresponding i_opt of least residual, wherein Pm,zFor observation,For power prediction value,For the average value of observation.
6. a kind of yaw calibration method based on blower sensor, feature according to claim 4 or 5 any one exist
In: perhaps both the corresponding i_opt of least residual or combination are comprehensive by corresponding i_opt when according to the linearity highest found out
Assessment finally determines DOffset-opt=Doffset,i_optAs point i in seat in the plane corresponds to wind deflection.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108757312A (en) * | 2018-06-06 | 2018-11-06 | 湘电风能有限公司 | A kind of wind-driven generator pitching control method |
| CN108825432B (en) * | 2018-06-22 | 2019-06-21 | 北京金风科创风电设备有限公司 | Yaw control method and device, and computer readable storage medium |
| CN112648139B (en) * | 2020-11-12 | 2022-03-04 | 北京金风慧能技术有限公司 | Wind misalignment correction method and device for wind driven generator group and controller |
| CN113323821B (en) * | 2021-06-11 | 2022-10-21 | 中南大学 | Method for adjusting yaw control parameters of wind turbine model prediction |
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