CN105909466B - Wind generating set yaw error analysis method - Google Patents
Wind generating set yaw error analysis method Download PDFInfo
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- CN105909466B CN105909466B CN201610243980.7A CN201610243980A CN105909466B CN 105909466 B CN105909466 B CN 105909466B CN 201610243980 A CN201610243980 A CN 201610243980A CN 105909466 B CN105909466 B CN 105909466B
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- 238000004458 analytical method Methods 0.000 title claims abstract description 12
- 238000010248 power generation Methods 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims description 6
- 230000001186 cumulative effect Effects 0.000 claims description 4
- 238000005315 distribution function Methods 0.000 claims description 3
- 238000011217 control strategy Methods 0.000 claims description 2
- 230000008859 change Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005183 dynamical system Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000032258 transport Effects 0.000 description 1
- 238000010977 unit operation Methods 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- 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
- F05B2270/329—Azimuth or yaw angle
-
- 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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- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Wind Motors (AREA)
Abstract
The present invention relates to a kind of wind generating set yaw error analysis methods, carry out subregion to wrong wind angular data, and the corresponding unit operating parameter of each mistake wind angle range is pushed the wrong wind angle range and is sorted out；According to the unit correlation operating parameter under each wrong wind angle range, power generation performance parameter of the unit under each wrong wind angle range is obtained；By the comparison of each wrong wind angle range power generation performance parameter, the yaw error of unit is determined.The present invention utilizes unit fuselage data, unit can more be precisely calculated and potentially run yaw error, has very big engineering significance.
Description
Technical field
The present invention relates to a kind of wind power generating set Performance Evaluation field, especially a kind of wind generating set yaw error
Analysis method.
Background technique
Wind-power electricity generation is fast-developing in recent years and achieves great achievement.The core for influencing wind power generation efficiency height is wind
The performance quality of power generator.Current most widely used wind-driven generator is generally made of following several big systems：Yaw system,
Pitch-controlled system, generator and frequency conversion system, master control system etc..
In unit operation, the most ideal situation is that unit swing flap face and incoming flow wind angle in 90 °, i.e. unit swing flap are flat
Face is perpendicular to incoming flow wind.The yaw system of unit is exactly, by the rotation of cabin, to keep unit swing flap flat to keep this state
Face is vertical with the holding of incoming flow wind；And when wind direction and wind wheel swing flap plane vertical line are wrong wind angle there are angle, unit can be reduced
It is lower to the utilization rate of wind energy.When unit is inaccurate to wind there are when fan yaw error, will cause cabin, wrong wind angle increases, directly
Connecing causes generated energy to lose, and increases blade and cabin load, and long-term existence but will increase spindle machine fatigue.
Yaw error is caused to have many-sided reason, first is that not carrying out anemoscope and cabin center pair during assembling
In；Second is that installation is not secured enough, after blade and cabin shape have an impact wind direction, anemoscope is blown askew；Third is that wind vane system
Manufacturing accuracy is not high and gradually aging, data acquisition are wrong；Fourth is that fan yaw dynamical system (motor, gear train, coding
Device) operation there are errors.But these errors be it is recessive, will not in the daily operational process of unit in the form of failure report
Out.
Chinese patent notification number CN102213182B discloses a kind of intrinsic yaw error angle side of acquisition wind power generating set
Method, by detecting wind-driven generator current power P1Output power P when with wind driven generator yaw angle being zero0Judgement yaw misses
Declinate.But wind direction is not constant between under actual conditions, and unit is also impossible at every moment change angle, even if therefore unit
Still there is a possibility that wrong wind angle in the case where no yaw error, the situation that will cause yaw error judgement inaccuracy goes out
It is existing.
Summary of the invention
Technical problem to be solved by the invention is to provide a kind of operation datas daily using blower to analyze wind-force hair
The yaw error of motor group, tends to yaw error the data obtained accurately, determines problem unit convenient for wind field personnel, transports wind field
Dimension personnel can have what is be directed to safeguard to problem unit in inspection or maintenance repair, and the unit without problem can be temporary
When be not directed to yaw system carry out error correction maintenance, not only saved human cost in this way, be more advantageous to improve unit hair
Electrical property and security performance.
The technical proposal adopted by the invention to solve the above technical problems is that：
A kind of wind generating set yaw error analysis method, includes the following steps：
S1) by unit data platform, the wrong wind angular data operation ginseng related to unit in unit preset time period is obtained
Number；
S2 subregion) is carried out to wrong wind angular data, the corresponding unit correlation operating parameter of each mistake wind angle range is pushed the wrong into wind angle
Sorted out in section；
S3) according to the unit correlation operating parameter under each wrong wind angle range, hair of the unit under each wrong wind angle range is obtained
Unit for electrical property parameters；
S4) by the comparison of each wrong wind angle range power generation performance parameter, the yaw error of unit is determined.
Further, the preset time period in the step S1 is divided into timing node, and unit data platform is each
Timing node obtains wrong wind angular data operating parameter related to unit simultaneously.
Further, it is to the method for wrong wind angular data progress subregion in the step S2：
Firstly, first determining to arithmetic fault wind angle range, then multiple subregions will be divided into arithmetic fault wind angle range is isometric, most
It will be less than again afterwards to arithmetic fault wind angle range and greater than the individually demarcation interval of the wrong wind angular data to arithmetic fault wind angle range,
It is identified as with formula：
Wrong wind angular data is divided into n+2 section, wherein being (- Deg to arithmetic fault wind angle rangem,+Degm), to arithmetic fault
The width of each subregion of wind angle range is Deg0, wherein n=2*Degm/Deg0；
Remember that i is wrong wind angle range label, the wrong wind angular region to arithmetic fault wind angle range i is (- Degm+(i-2)*Deg0,-
Degm+(i-1)*Deg0), wherein i=2,3 ... ..., n+1；
Define i=1 when, wrong wind angular data range be (- 180 ° ,-Degm)；When defining i=n+2, wrong wind angular data range
For (+Degm, 180 °).
Preferably, the DegmFor the yaw threshold value in set yaw control strategy, the Deg0Range is 1 °~20 °.
Further, the related operating parameter in the step S1 includes at least air speed data and generator active power number
According to；Subregion is carried out to air speed data in the step S3, the unit correlation operating parameter under each mistake wind angle range is according to wind speed number
Sorted out according to by wind speed interval, model is established by wind speed average value in each wind speed interval and power average value and characterizes unit
Power generation performance under each wrong wind angle range.
Further, the related operating parameter in the step S1 further includes operating states of the units identification code；The step
It is related operating parameter under normal circumstances that operating states of the units identification code is only chosen in S3.
Further, the air speed data includes incision wind speed v0, cut-out wind speed vmWith unit annual mean wind speed vave, wind speed
Data are according to incision wind speed v0To cut-out wind speed vm, it is divided into N number of wind speed interval, N=(v by the interval of 0.5m/sm-v0)/0.5；
Note j is wind speed interval label, and the wind speed range of wind speed interval j is (v0+ 0.5* (j-1) -0.25, v0+0.5*(j-1)
+ 0.25), wherein j=1,2,3 ..., N；
Remember that each air speed data is v in each wind speed intervalj,k, wherein k=1,2 ... ..., l；The average wind of wind speed interval j
Fast value vj,Each air speed data vj,kCorresponding power data is Pj,k, wherein k=1,2 ... ..., l；Wind
Fast section power average value Pj,
1. in formula：
FD：Power generation performance parameter
N：The number of wind speed interval；
vj：The mean wind speed value of wind speed interval j；
Pj：The average power content of wind speed interval j；
2. in formula：
F(V)：The Rayleigh cumulative distribution function of wind speed；
Vave：Unit annual mean wind speed；
V：Wind speed, substituting into formula is wind speed interval mean wind speed value.
Preferably, the yaw error of note unit is Dwc；The maximum generation performance parameter FD in each wrong wind angle range is selected,
Remember that wrong wind angle range corresponding to maximum FD is im, work as imWhen=1 or n+2, the yaw error D of unitwc>Degm, work as im=2,
When 3 ... ..., n+1, Dwc=|-Degm+(i-1.5)*Deg0|。
The present invention compared with the existing technology has the following advantages that and effect：By time hop counts evidence in evaluation procedure, utilize
The distribution of Rayleigh cumulative probability and the actual wind speed-power corresponding relationship of wind speed calculate each wrong wind angle range power generation performance of unit
Parameter FD；It is run in unit former using the operation data of unit itself by the Unit Performance Analysis to different wrong wind angle ranges
On the basis of reason, the yaw error for obtaining unit is Dwc.The present invention utilizes unit fuselage data, can more be precisely calculated
Unit potentially runs yaw error, has very big engineering significance.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is flow chart of the invention.
Specific embodiment
The present invention will be further described in detail below with reference to the embodiments, following embodiment be explanation of the invention and
The invention is not limited to following embodiments.
Embodiment 1：
As shown in Figure 1, firstly, by unit SCADA data library extract unit history data parameter, including：Wrong wind
Angle, wind speed, generator active power, unit annual mean wind speed and operating states of the units identification code, wherein operating states of the units mark
Knowing code includes the data that the data such as engine speed and propeller pitch angle are used to judge operating states of the units.Predetermined time period is 1 year,
Time interval is 1 minute timing node.
Determine that unit normally generates electricity by way of merging two or more grid systems the time by operating states of the units identification code.Take the wrong wind angle range that needs are analyzed
For (- 15 ° ,+15 °), Deg0Be 5 °, then section be respectively (- 180 °, -15 °), (- 15 °, -10 °), (- 10 °, -5 °), (- 5 °,
0 °), (0 °, 5 °), (5 °, 10 °), (10 °, 15 °), (15 °, 180 °)；Totally 8 sections.
The incision wind speed of unit be 3m/s, cut-out wind speed 25m/s, then wind speed interval be (2.75+0.5* (j-1), 3.25
+ 0.5* (j-1)), j=1,2,3 ... ..., 44；The mean wind speed and mean power under each section are calculated by computing platform：
The unit annual mean wind speed is 6.2m/s, then its Rayleigh cumulative distribution function of different sections is：
Pass through again
The unit generation performance parameter FD under different wrong wind angle ranges is calculated, calculates the FD value in (- 10 °, -5 °) section most
Greatly, it is determined that the yaw error D of unitwc=-7.5 °.
In addition, it should be noted that, the specific embodiments described in this specification, the shape of parts and components are named
Title etc. can be different.The equivalent or simple change that all structure, feature and principles described according to the invention patent design are done, is wrapped
It includes in the scope of protection of the patent of the present invention.Those skilled in the art can be to described specific implementation
Example is done various modifications or additions or is substituted in a similar manner, and without departing from structure of the invention or surmounts this
Range as defined in the claims, is within the scope of protection of the invention.
Claims (6)
1. a kind of wind generating set yaw error analysis method, it is characterised in that：Include the following steps：
S1) by unit data platform, the wrong wind angular data operating parameter related to unit in unit preset time period is obtained；
S2 subregion) is carried out to wrong wind angular data, the corresponding unit correlation operating parameter of each mistake wind angle range is pushed the wrong into wind angle range
Sorted out；
S3) according to the unit correlation operating parameter under each wrong wind angle range, power generation of the unit under each wrong wind angle range is obtained
It can parameter；
S4) by the comparison of each wrong wind angle range power generation performance parameter, the yaw error of unit is determined；
Related operating parameter in the step S1 includes at least air speed data and generator active power data；
Subregion is carried out to air speed data in the step S3, the unit correlation operating parameter under each mistake wind angle range is according to wind speed number
Sorted out according to by wind speed interval, model is established by wind speed average value in each wind speed interval and power average value and characterizes unit
Power generation performance under each wrong wind angle range；
The air speed data includes incision wind speed v0, cut-out wind speed vmWith unit annual mean wind speed vave, air speed data is according to incision
Wind speed v0To cut-out wind speed vm, it is divided into N number of wind speed interval, N=(v by the interval of 0.5m/sm-v0)/0.5；
Note j is wind speed interval label, and the wind speed range of wind speed interval j is (v0+ 0.5* (j-1) -0.25, v0+0.5*(j-1)+
0.25), wherein j=1,2,3 ..., N；
Remember that each air speed data is v in each wind speed intervalj,k, wherein k=1,2 ... ..., l；The mean wind speed value of wind speed interval j
vj,Each air speed data vj,kCorresponding power data is Pj,k, wherein k=1,2 ... ..., l；Wind speed area
Between power average value Pj,
1. in formula：
FD：Power generation performance parameter
N：The number of wind speed interval；
vj：The mean wind speed value of wind speed interval j；
Pj：The average power content of wind speed interval j；
2. in formula：
F(V)：The Rayleigh cumulative distribution function of wind speed；
Vave：Unit annual mean wind speed；
V：Wind speed, substituting into formula is wind speed interval mean wind speed value.
2. wind generating set yaw error analysis method according to claim 1, it is characterised in that：In the step S1
Preset time period be divided into timing node, unit data platform obtains wrong wind angular data and machine in each timing node simultaneously
The related operating parameter of group.
3. wind generating set yaw error analysis method according to claim 2, it is characterised in that：In the step S2
To wrong wind angular data carry out subregion method be：
Wrong wind angular data is divided into n+2 section, wherein being (- Deg to arithmetic fault wind angle rangem,+Degm), to arithmetic fault wind angle
The width of each subregion in section is Deg0, wherein n=2*Degm/Deg0；
Remember that i is wrong wind angle range label, the wrong wind angular region to arithmetic fault wind angle range i is (- Degm+(i-2)*Deg0,-Degm
+(i-1)*Deg0), wherein i=2,3 ... ..., n+1；
Define i=1 when, wrong wind angular data range be (- 180 ° ,-Degm)；Define i=n+2 when, wrong wind angular data range be (+
Degm, 180 °).
4. wind generating set yaw error analysis method according to claim 3, it is characterised in that：The DegmFor machine
Yaw threshold value in group Yaw Control Strategy, the Deg0Range is 1 °~20 °.
5. wind generating set yaw error analysis method according to claim 3, it is characterised in that：
Related operating parameter in the step S1 further includes operating states of the units identification code；
It is related operating parameter under normal circumstances that operating states of the units identification code is only chosen in the step S3.
6. wind generating set yaw error analysis method according to claim 5, it is characterised in that：
The yaw error for remembering unit is Dwc；The maximum generation performance parameter FD in each wrong wind angle range is selected, note maximum FD institute is right
The wrong wind angle range answered is im, work as imWhen=1 or n+2, the yaw error D of unitwc>Degm, work as imWhen=2,3 ... ..., n+1,
Dwc=|-Degm+(i-1.5)*Deg0|。
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Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108240284A (en) * | 2016-12-26 | 2018-07-03 | 北京金风科创风电设备有限公司 | Data processing method and device based on wind-driven generator set of system functions |
| CN108317040B (en) * | 2018-01-31 | 2019-07-26 | 北京金风科创风电设备有限公司 | Method, device, medium, equipment and wind generating set for correcting yaw to wind |
| CN109139371B (en) * | 2018-02-28 | 2019-10-11 | 北京金风科创风电设备有限公司 | Method, device and system for determining deviation of wind angle and correcting wind angle |
| CN110206683B (en) * | 2018-02-28 | 2020-08-04 | 北京金风科创风电设备有限公司 | Method, device and system for estimating deviation of wind angle and correcting wind angle |
| CN111120203B (en) * | 2018-11-01 | 2021-02-19 | 北京金风科创风电设备有限公司 | Method and equipment for determining yaw wind deviation angle of wind generating set |
| WO2020097944A1 (en) * | 2018-11-18 | 2020-05-22 | 浙江大学 | Real power curve-based method for discriminating and compensating yaw error inherent deviation of wind turbine generator set |
| CN109667727B (en) * | 2018-11-18 | 2020-01-10 | 浙江大学 | Wind turbine generator yaw error inherent deviation identification and compensation method based on power curve analysis |
| CN109779837B (en) * | 2019-01-30 | 2020-09-22 | 华润电力风能(青岛)有限公司 | Yaw alignment correction method for wind generating set |
| CN110067708B (en) * | 2019-05-13 | 2020-08-25 | 北京天泽智云科技有限公司 | Method for identifying yaw wind disharmony by using power curve |
| CN111852769B (en) * | 2020-07-22 | 2021-06-29 | 武汉展盛科技有限公司 | Method and system for predicting yaw static deviation angle of SCADA data of fan |
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