CN106150904B - A kind of wind driven generator unit yaw system control performance optimization method and system - Google Patents
A kind of wind driven generator unit yaw system control performance optimization method and system Download PDFInfo
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- CN106150904B CN106150904B CN201610515518.8A CN201610515518A CN106150904B CN 106150904 B CN106150904 B CN 106150904B CN 201610515518 A CN201610515518 A CN 201610515518A CN 106150904 B CN106150904 B CN 106150904B
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- 238000005070 sampling Methods 0.000 claims description 5
- 230000009471 action Effects 0.000 claims description 3
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- 201000009482 yaws Diseases 0.000 claims description 2
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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
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- 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
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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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Abstract
A kind of wind driven generator unit yaw system control performance optimization method of present invention offer and system, method include：The incoming wind data in front of cabin is obtained every Fixed Time Interval, incoming wind data includes the wind direction of arrives stream wind speed, incoming true wind direction and incoming with respect to cabin；By incoming true wind direction, sector is divided in section by a predetermined angle, and arrives stream wind speed is segmented by predetermined wind speed interval；First time grouping is carried out to incoming wind data according to sector and segmentation is divided；The yaw error for calculating corresponding group with respect to the wind direction of cabin according to incoming, obtains yaw error Optimized model；When yaw system optimizes, the arrives stream wind speed of actual measurement and incoming true wind direction are inputted into yaw error Optimized model, match corresponding yaw error, which is adapted in yaw control system input.The wind power generating set of different model can be in the case of different arrives stream wind speeds and take different optimisation strategies, improve the optimization precision of yaw error.
Description
Technical field
The invention belongs to wind power yawing control field, more particularly to a kind of wind driven generator unit yaw system control performance is excellent
Change method and system.
Background technology
It is constantly accumulated with the extensive development and detection means and method of wind-powered electricity generation, producer and wind power plant owner send out wind-force
More stringent requirements are proposed for the performance of motor group, and yaw system is the important composition portion of horizontal axis wind-driven generator set control system
Point, control performance directly decides safety and the economy of wind power generating set.
In the prior art, a kind of method of yaw system control performance optimization is to start yaw as long as having yaw deviation
There is the defects of acting frequently, reducing the service life of yaw system in system, this optimization method.The yaw system of the another prior art
System performance optimization method typically takes identical optimisation strategy to the wind power generating set of different model, different arrives stream wind speeds,
And not having specific aim, control effect is undesirable, generated energy promotion is low.
Invention content
The present invention provides a kind of wind driven generator unit yaw system control performance optimization method and systems, existing for solving
There are the service life of frequent starting yaw system reduction relevant device in technology, wind power generating set, difference to different model
Arrives stream wind speed takes identical optimisation strategy, and does not have specific aim, and control effect is undesirable, generated energy promotes low problem.
In order to solve the above-mentioned technical problem, a technical solution of the invention is to provide a kind of wind driven generator unit yaw system
Control performance optimization method, including：
Within a predetermined period of time, the incoming in front of a wind generating set engine room to be optimized is obtained every Fixed Time Interval
Wind data, wherein incoming wind data includes the wind direction of arrives stream wind speed, incoming true wind direction and incoming with respect to cabin；
By the incoming true wind direction, section carries out a point sector by a predetermined angle, and the arrives stream wind speed is pressed predetermined wind speed area
Between be segmented；
First time grouping is carried out to the incoming wind data according to sector and segmentation is divided；
The yaw error for calculating corresponding group with respect to the wind direction of cabin according to incoming described in every group of data, obtains yaw error
Optimized model；
It is when the wind driven generator unit yaw system optimization to be optimized, the arrives stream wind speed of actual measurement and incoming true wind direction is defeated
Enter in the yaw error Optimized model, match corresponding yaw error, which is adapted to the yaw
In the input of control system.
Another technical solution of the present invention is to provide a kind of wind driven generator unit yaw system control performance optimization system, is wrapped
It includes：
Sampling module, within a predetermined period of time, a wind power generating set to be optimized being obtained every Fixed Time Interval
Incoming wind data in front of cabin, wherein incoming wind data includes arrives stream wind speed, incoming true wind direction and incoming with respect to cabin
Wind direction；
Division module, for section to carry out a point sector by a predetermined angle by the incoming true wind direction, by the incoming wind
Speed is segmented by predetermined wind speed interval；
First grouping module divides sector and segmentation to carry out first time grouping to the incoming wind data for basis；
Yaw error seismic responses calculated module is calculated for the wind direction according to incoming described in every group of data with respect to cabin
The yaw error of corresponding group obtains the Optimized model of yaw error；
Yaw error optimization module is used in the wind driven generator unit yaw system optimization to be optimized, by actual measurement
Arrives stream wind speed and incoming true wind direction input in the yaw error Optimized model, corresponding yaw error are matched, by the correspondence
Yaw error be adapted in the input of the yaw control system.
The present invention wind power generating set of different model can be in the case of different arrives stream wind speeds take it is different excellent
Change strategy, can targetedly optimize the yaw error of yaw system, improve the optimization precision of yaw error, can reach and carry
Rise the purpose of generated energy.
Description of the drawings
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 technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Fig. 1 is the flow chart of the wind driven generator unit yaw system control performance optimization method of one embodiment of the invention；
Fig. 2 is the flow chart of the calculating yaw error Optimized model process of one embodiment of the invention；
Fig. 3 is the whether effective flow chart of verification yaw error Optimized model of one embodiment of the invention；
Fig. 4 is that the wind driven generator unit yaw system of another embodiment of the present invention starts the flow chart of angle and optimizing；
Fig. 5 is that the wind speed section of one embodiment of the invention divides schematic diagram；
Fig. 6 is that the verification of one embodiment of the invention starts the whether effective flow chart of angle and optimizing model；
Fig. 7 is the structure chart of the wind driven generator unit yaw system control performance optimization system of one embodiment of the invention；
Fig. 8 is the structure chart of the wind driven generator unit yaw system control performance optimization system of another embodiment of the present invention.
Specific implementation mode
In order to which the technical characterstic and effect that make the present invention are more obvious, technical scheme of the present invention is done below in conjunction with the accompanying drawings
It further illustrates, the specific example that the present invention also can have other different is illustrated or implements, any those skilled in the art
The equivalents done within the scope of the claims belong to the protection category of the present invention.
As shown in FIG. 1, FIG. 1 is the wind driven generator unit yaw system control performance optimization methods of one embodiment of the invention
Flow chart.The present embodiment can be in the wind power generating set of different model in the case of different arrives stream wind speeds and take different optimization
Strategy can targetedly optimize the yaw error of yaw system, improve the optimization precision of yaw error.
Specifically, wind driven generator unit yaw system control performance optimization method includes：
Step 101, within a predetermined period of time, before Fixed Time Interval obtains a wind generating set engine room to be optimized
The incoming wind data of side, wherein incoming wind data includes the wind direction of arrives stream wind speed, incoming true wind direction and incoming with respect to cabin.
When it is implemented, predetermined amount of time is as being 30 days.Predetermined amount of time can also be depending on optimization precision, the present invention couple
Its specific value does not limit.
Fixed Time Interval is as being 10min.Fixed Time Interval can be depending on the stability of data, and the present invention has it
Body value does not limit.
Each variable data in incoming wind data is being somebody's turn to do for (sample frequency is as the being 1s) acquisition of sampling in Fixed Time Interval
The average value of variable instantaneous value.Further, in order to ensure that data are useful, incoming wind data is in wind power generating set to be optimized
It acquires, the data measured under the abnormal conditions such as unit failure, maintenance should be rejected under normal operating condition.
Specifically, arrives stream wind speed and incoming are by being installed on wind generating set engine room to be optimized with respect to the wind direction of cabin
On anemometer measure, incoming true wind direction is wind direction and nacelle position meter of the wind power generating set according to incoming with respect to cabin
It obtains.
Step 102, by the incoming true wind direction, section carries out a point sector by a predetermined angle, by the arrives stream wind speed by pre-
Determine wind speed interval to be segmented.
When dividing sector, Sector Range should be reduced as far as possible, so that each sector is influenced by landform, barrier etc. identical, it is right
In the especially complex unit of landform, barrier situation, it is proposed that the angular range of grouping should be less than 15 °.Predetermined angular can be according to waiting for
Depending on optimizing landform, barrier situation residing for wind power generating set, the present invention does not limit the value of predetermined angular.
Predetermined wind speed interval can be mean allocation, such as be 6m/s.Predetermined wind speed interval can also be low wind speed (threshold wind velocity-
6m/s), middle wind speed (7m/s- rated wind speeds) and high wind speed section (more than rated wind speed).
Step 103, according to point sector and divide wind speed to the incoming wind data carry out first time grouping.Data after grouping
It can store in the form of a list.
Step 104, the yaw error for calculating corresponding group with respect to the wind direction of cabin according to incoming described in every group of data, obtains
Yaw error Optimized model.
The yaw error that the step obtains is that yaw system is pacified by wind vane (wind vane in wind power generating set) zero-bit
Fill azimuth, cabin wind vane composition error caused by by impeller wake effect or control strategy the deficient validity.
Specifically, as shown in Fig. 2, the detailed process of step 104 is：
Step 1041：Each incoming in every group is counted with respect to the probability that the wind direction of cabin occurs, by probability from big to small suitable
Incoming in every group of ordered pair is ranked up with respect to the wind direction of cabin.
Step 1042：It calculates every group of top n incoming and is worth to the yaw error of corresponding group with respect to being averaged for the wind direction of cabin.
Step 1043：Every group of corresponding yaw error is gathered to obtain the yaw error Optimized model.
Step 105, in the wind driven generator unit yaw system optimization to be optimized, by the arrives stream wind speed and incoming of actual measurement
True wind direction inputs in the yaw error Optimized model, and arrives stream wind speed and the incoming true wind direction for matching the actual measurement are corresponding partially
Boat error, which is adapted in the input of the yaw control system.
This implementation is by the way of comprehensive yaw error, in the case of the concrete reason for not considering to cause yaw error,
It directly compensates, improve the enforceability of yaw optimization and reduces uncertainty.
In order to by the yaw error Optimized model of a wind power generating set to be optimized expand to other with model wait for it is excellent
Change wind power generating set, in one embodiment of the invention, further includes after obtaining yaw error Optimized model：
Determine effective sector of the wind power generating set to be optimized；When another wind power generating set blade normal (i.e.
Cabin center line) at effective sector, the yaw error Optimized model is suitable for another wind power generating set, it can root
Yaw error optimization is carried out to another wind power generating set according to yaw error Optimized model；Wherein, another generator
Group is identical as the wind power generating set model to be optimized.
When implementation, effective sector of wind power generating set to be optimized can be achieved by the prior art, and details are not described herein again.
In order to verify the accuracy of yaw error optimization, in one embodiment of the invention, as shown in figure 3, by the following method
Whether effective verify yaw error Optimized model：
Step 301：The yaw system of wind power generating set to be optimized further includes the power spy before statistic op- timization before optimization
Linearity curve fraction.
Step 302：It further include the power characteristic fraction after statistic op- timization after the yaw system optimization.
The power characteristic fraction is calculated by following formula：
K：The power characteristic fraction of wind power generating set；
n：Section number is counted, according to wind speed range be 0.5m/s is a statistics section, the center in section is 0.5m/s
Integral multiple；
Pi：It is under maximum output control model that wind power generating set, which is in active power, and i-th of statistics section inner blower is real
The average active power value of border output, unit kW；
Pi'：Under normal atmosphere density conditions, the active power in i-th of correspondence statistics section that producer ensures, unit is
kW；
The frequency in i-th of statistics section；
Ni：Wind speed falls into the data amount check in i-th of statistics section；
N：The total quantity of air speed data.
Step 303：Compare the power characteristic fraction after optimization and the power characteristic fraction before optimization, such as
Power characteristic fraction after fruit optimization is more than the power characteristic fraction before optimization, then the yaw error optimization
Model is effective.
If power characteristic fraction is less than power characteristic fraction before optimization after optimization, need re-optimization inclined
Boat error, and frequency analysis is carried out to the rotating speed of wind power generating set so that rotating speed compensates front and back control steadily in yaw error,
Avoid the occurrence of the abnormal vibrations of larger rotating speed shake and unit.
It, can also be bent by comparing the power features curve before optimizing and the power features after optimization in one embodiment of the invention
Line, when power features curve integrally deviates to the right, then yaw error Optimized model is effective.Specifically, the power of unit to be optimized
Indicatrix can be used existing method and obtain, in the incoming wind data as described in obtaining in front of wind generating set engine room to be optimized
While also obtain environment temperature, the electrical power of air pressure and unit to be optimized output, count machine to be optimized in conjunction with incoming wind data
The power characteristic of group.
In one embodiment of the invention, as shown in figure 4, wind driven generator unit yaw system control performance optimization method also wraps
It includes：
Step 401：By low wind speed section, middle wind speed section and high wind speed section second of grouping is carried out to carrying out flow data；Wherein, low
Wind speed range is V0< V≤V1, middle wind speed ranging from V1< V≤V2, high wind speed ranging from V>V2, V2For rated wind speed, V0To open
Dynamic wind speed, V1It is such as 6m/s, V is arrives stream wind speed for low wind speed section threshold value.
Specifically, the segmentation foundation of high, medium and low wind speed section can be controlled according to the different operation characteristics of unit, the different of yaw
System strategy or propeller pitch angle, generating unit speed statistical analysis are segmented.As shown in figure 5, according to wheel speed and propeller pitch angle in unit
The example that different characteristics under the different operation phase is segmented, first segment are " blade rotational speed increases, propeller pitch angle the is constant " stage,
Second segment is " wheel speed and propeller pitch angle variation critical " stage, and third section is " wheel speed is constant, propeller pitch angle increase " rank
Section.It is segmented according to Fig.5, the wind speed of each segmentation critical point is determined, to obtain V1And V2。
Step 402：The yaws different to every group of setting of second of grouping start angle and optimizing criterion, obtain starting angle and optimizing
Model.
Such as starting angle and optimizing criterion is：
The Optimality Criteria that low wind speed starts angle is Dl±Cl, wherein DlIt is yawed for low wind speed and starts angle, ClFor adjustment amount；
The Optimality Criteria that middle wind speed starts angle is Dm-Cm, wherein DmIt is yawed for middle wind speed and starts angle, CmFor adjustment amount；
The Optimality Criteria that high wind speed starts angle is Dh±Ch, wherein DhIt is yawed for high wind speed and starts angle, ChFor adjustment amount.
When implementation, Optimality Criteria can be also not specifically limited according to optimization precision adjusting and optimizing criterion, the present invention.
Step 403：When the yaw system optimization, the arrives stream wind speed of the actual measurement is inputted into the startup angle and optimizing model
In, the corresponding yaw of arrives stream wind speed for obtaining the actual measurement starts angle, and incoming to be surveyed reaches described with respect to the wind direction of cabin
When corresponding yaw starts angle, start the yaw system action.
In order to verify the accuracy for starting angle and optimizing, in one embodiment of the invention, as shown in fig. 6, testing by the following method
Whether card starts angle and optimizing model effective：
Step 601：Further include the power characteristic fraction before statistic op- timization before the yaw system optimization, utilizes packet
Network method or probability distribution method are for statistical analysis with respect to the wind direction of cabin and arrives stream wind speed to the incoming of acquisition, obtain optimizing preceding control
Dead zone length processed.
Specifically, the process that envelope method calculates controlling dead error is：Arrives stream wind speed is set as abscissa, incoming is with respect to cabin
Wind direction is ordinate, and future, wind data was rehearsed according to the size for carrying out wind velocity, using envelope method that the incoming of statistics is opposite
The data edges of cabin carry out envelope, and coenvelope subtracts lower envelope and obtains controlling dead error length.
Probability distribution method calculate controlling dead error process be：It, need to according to the sequence demarcation interval section of wind speed from small to large
The incoming to be calculated is assigned in each section of wind speed with respect to the wind direction of cabin and calculates, and for each wind speed interval section, calculates separately
Then the probability that the wind direction of each opposite cabin occurs is carried out to the left and right centered on the wind direction of the highest opposite cabin of probability of occurrence
Recursive form wind direction section, and the probability in wind direction section is calculated, such as it is 95% when wind direction interval probability is more than fixation probability
When, this wind direction section difference is controlling dead error length.
Step 602：Further include the statistics wind power generating set to be optimized and a mark post during the yaw system optimization
The yaw of wind turbine controls number, and the mark post wind turbine is any one wind-driven generator around the wind power generating set to be optimized
Group.
Step 603：Further include the power characteristic fraction after statistic op- timization after yaw system optimization, statistics the
Controlling dead error length after secondary point of wind speed section optimization.
The computational methods of controlling dead error are referring to step 601, and details are not described herein again.
Step 604：By the controlling dead error length after optimization respectively compared with controlling dead error length before optimization, after optimization
Power characteristic fraction is compared with the power characteristic fraction before optimization, by the wind power generating set to be optimized
Yaw control number is compared with the yaw of mark post wind turbine control number.
Step 605：If the controlling dead error length after low wind speed section optimization and the controlling dead error length difference before optimization are small
Controlling dead error length after the first predetermined threshold, middle wind speed section optimization is less than the controlling dead error length before optimization, high wind speed section
Controlling dead error length after optimization is less than the second predetermined threshold with the controlling dead error length difference before optimization；Power after optimization is special
Linearity curve fraction is greater than or equal to the power characteristic fraction before optimization；The yaw of the wind power generating set to be optimized
The yaw control number that number is less than or equal to the mark post unit is controlled, then it is effective to start angle and optimizing model.
When it is implemented, the first predetermined threshold and the second predetermined threshold can specifically be determined according to unit.High wind speed section starts
Also to pay close attention to whether unit generates Types of Abnormal Vibration Appearances when angle and optimizing, the second set predetermined threshold need to can guarantee that unit does not go out
Existing abnormal vibrations.
The present invention can carry out individual character optimization to the yaw error of operation wind generating set yaw control, startup angle,
The power characteristic for improving unit while improving yaw system reliability, improves the generated energy of unit.
As shown in fig. 7, Fig. 7 is the knot of one embodiment of the invention wind driven generator unit yaw system control performance optimization system
Composition.Specifically, the system 700 includes：
Sampling module 701, within a predetermined period of time, a wind-driven generator to be optimized being obtained every Fixed Time Interval
Incoming wind data in front of group cabin, wherein incoming wind data includes arrives stream wind speed, incoming true wind direction and incoming with respect to cabin
Wind direction.
Division module 702, for section to carry out a point sector by a predetermined angle by the incoming true wind direction, by the incoming
Wind speed is segmented by predetermined wind speed interval.
First grouping module 703 divides sector and segmentation to carry out first time grouping to the incoming wind data for basis.
Yaw error seismic responses calculated module 704, for the wind direction according to incoming described in every group of data with respect to cabin
The yaw error for calculating corresponding group obtains yaw error Optimized model.
Yaw error optimization module 705, in the wind driven generator unit yaw system optimization to be optimized, will survey
Arrives stream wind speed and incoming true wind direction input in the yaw error Optimized model, match corresponding yaw error, this is right
The yaw error answered is adapted in the input of the yaw control system.
In another embodiment of the present invention, as described in Figure 8, the system also includes,
Second packet module 706, for being carried out second by low wind speed section, middle wind speed section and high wind speed section to carrying out flow data
Grouping；Wherein, low wind speed range is V0< V≤V1, middle wind speed ranging from V1< V≤V2, high wind speed ranging from V>V2, V2It is specified
Wind speed, V0For threshold wind velocity, V1It is such as 6m/s, V is arrives stream wind speed for low wind speed section threshold value.Start angle and optimizing model computation module
707, the yaw different for every group of setting to second of grouping starts angle and optimizing criterion, obtains starting angle and optimizing model；
Start angle and optimizing module 708, when for yaw system optimization, described in the arrives stream wind speed input by the actual measurement
Start in angle and optimizing model, the corresponding yaw of arrives stream wind speed for obtaining the actual measurement starts angle, and incoming to be surveyed is with respect to cabin
Wind direction when reaching the corresponding yaw and starting angle, start the yaw system action.
The present invention wind power generating set of different model can be in the case of different arrives stream wind speeds take it is different excellent
Change strategy, angle can be started to the yaw error of operation wind generating set yaw control, yaw and carry out individual character optimization, improved
Yaw error and the optimization precision for starting angle, improve the power characteristic of unit while improving yaw system reliability,
Improve the generated energy of unit.
The above is merely to illustrate the technical solution of the application, any those of ordinary skill in the art can without prejudice to
Under the spirit and scope of the present invention, modifications and changes are made to the above embodiments.Therefore, the scope of the present invention should regard
Subject to right.
Claims (9)
1. a kind of wind driven generator unit yaw system control performance optimization method, which is characterized in that including,
Within a predetermined period of time, the incoming wind number in front of a wind generating set engine room to be optimized is obtained every Fixed Time Interval
According to, wherein incoming wind data includes the wind direction of arrives stream wind speed, incoming true wind direction and incoming with respect to cabin；
By the incoming true wind direction, section carries out a point sector by a predetermined angle, by the arrives stream wind speed by predetermined wind speed interval into
Row segmentation；
First time grouping is carried out to the incoming wind data according to sector and segmentation is divided；
The yaw error for calculating corresponding group with respect to the wind direction of cabin according to incoming described in every group of data, obtains yaw error optimization
Model；
When the wind driven generator unit yaw system optimization to be optimized, the arrives stream wind speed of actual measurement and incoming true wind direction are inputted into institute
It states in yaw error Optimized model, matches corresponding yaw error, which is adapted to the wind to be optimized
In the input of power generator group yaw system；
Wherein, the yaw error for calculating corresponding group with respect to the wind direction of cabin according to incoming described in every group of data obtains yaw and misses
Poor Optimized model includes：
Each incoming in every group is counted with respect to the probability that the wind direction of cabin occurs, by the sequence of probability from big to small to coming in every group
The wind direction of the opposite cabin of stream is ranked up；
It calculates every group of top n incoming and is worth to the yaw error of corresponding group with respect to being averaged for the wind direction of cabin；
Every group of corresponding yaw error is gathered to obtain the yaw error Optimized model.
2. wind driven generator unit yaw system control performance optimization method as described in claim 1, which is characterized in that described next
Flow the average value that each variable data in wind data is the variable instantaneous value that sampling obtains in Fixed Time Interval.
3. wind driven generator unit yaw system control performance optimization method as described in claim 1, which is characterized in that obtain institute
Further include after stating yaw error Optimized model：
Determine effective sector of the wind power generating set to be optimized；
When the blade normal of another wind power generating set is in effective sector, the yaw error Optimized model is suitable for described
Another wind power generating set；
Wherein, another generating set is identical as the wind power generating set model to be optimized.
4. wind driven generator unit yaw system control performance optimization method as described in claim 1, which is characterized in that described inclined
It further include the power characteristic fraction before statistic op- timization before boat system optimization；
It further include the power characteristic fraction after statistic op- timization after the yaw system optimization；
Compare the power characteristic fraction after optimization and the power characteristic fraction before optimization, if the work(after optimization
Rate characteristic curve fraction is more than the power characteristic fraction before optimization, then the yaw error Optimized model is effective.
5. wind driven generator unit yaw system control performance optimization method as described in claim 1, which is characterized in that the side
Method further includes：
By low wind speed section, middle wind speed section and high wind speed section second of grouping is carried out to carrying out flow data；
Wherein, low wind speed range is V0< V≤V1, middle wind speed ranging from V1< V≤V2, high wind speed ranging from V > V2, V2It is specified
Wind speed, V0For threshold wind velocity, V1For low wind speed section threshold value, V is arrives stream wind speed；
The yaws different to every group of setting of second of grouping start angle and optimizing criterion, obtain starting angle and optimizing model；
When the yaw system optimization, the arrives stream wind speed of the actual measurement is inputted in the startup angle and optimizing model, is obtained described
The corresponding yaw of arrives stream wind speed of actual measurement starts angle, and incoming to be surveyed reaches the corresponding yaw with respect to the wind direction of cabin and opens
When dynamic angle, start the yaw system action.
6. wind driven generator unit yaw system control performance optimization method as claimed in claim 5, which is characterized in that described to open
Moving angle and optimizing criterion is：
The Optimality Criteria that low wind speed starts angle is Dl±Cl, wherein DlIt is yawed for low wind speed and starts angle, ClFor adjustment amount；
The Optimality Criteria that middle wind speed starts angle is Dm-Cm, wherein DmIt is yawed for middle wind speed and starts angle, CmFor adjustment amount；
The Optimality Criteria that high wind speed starts angle is Dh±Ch, wherein DhIt is yawed for high wind speed and starts angle, ChFor adjustment amount.
7. wind driven generator unit yaw system control performance optimization method as claimed in claim 6, which is characterized in that described inclined
Further include the power characteristic fraction before statistic op- timization before boat system optimization, using envelope method or probability distribution method to obtaining
Incoming it is for statistical analysis with respect to the wind direction of cabin and arrives stream wind speed, controlling dead error length before obtaining optimizing；
It further include the yaw control of the statistics wind power generating set to be optimized and a mark post wind turbine during the yaw system optimization
Number processed, the mark post wind turbine are the wind power generating set around the wind power generating set to be optimized；
Further include the power characteristic fraction after statistic op- timization, second of grouping gained of statistics after the yaw system optimization
Controlling dead error length after the optimization of wind speed section；
By the controlling dead error length after optimization respectively compared with controlling dead error length before optimization, by the power characteristic after optimization
Fraction controls number compared with the power characteristic fraction before optimization, by the yaw of the wind power generating set to be optimized
Compared with the yaw of mark post wind turbine control number；
If the controlling dead error length after low wind speed section optimization is less than the first predetermined threshold with the controlling dead error length difference before optimization
Value, the controlling dead error length after middle wind speed section optimization are less than the controlling dead error length before optimization, the control after the optimization of high wind speed section
Dead zone length is less than the second predetermined threshold with the controlling dead error length difference before optimization；Power characteristic fraction after optimization
More than or equal to the power characteristic fraction before optimization；The yaw control number of the wind power generating set to be optimized is less than
Or the yaw equal to the mark post unit controls number, then it is effective to start angle and optimizing model.
8. the wind driven generator unit yaw system control performance optimization method as described in claim 4 or 7, which is characterized in that institute
Power characteristic fraction is stated to calculate by following formula：
K：The power characteristic fraction of wind power generating set；
n：Section number is counted, according to wind speed range be 0.5m/s is a statistics section, the center in section is the whole of 0.5m/s
Several times；
Pi：It is under maximum output control model that wind power generating set, which is in active power, and i-th of statistics section inner blower is actually defeated
The average active power value gone out, unit kW；
Pi'：Under normal atmosphere density conditions, the active power in i-th of statistics section of correspondence that producer ensures, unit kW；
The frequency in i-th of statistics section；
Ni：Wind speed falls into the data amount check in i-th of statistics section；
N：The total quantity of air speed data.
9. a kind of wind driven generator unit yaw system control performance optimization system, which is characterized in that the system comprises：
Sampling module, within a predetermined period of time, a wind generating set engine room to be optimized being obtained every Fixed Time Interval
The incoming wind data in front, wherein incoming wind data includes the wind of arrives stream wind speed, incoming true wind direction and incoming with respect to cabin
To；
Division module presses the arrives stream wind speed for by the incoming true wind direction, section to carry out a point sector by a predetermined angle
Predetermined wind speed interval is segmented；
First grouping module divides sector and segmentation to carry out first time grouping to the incoming wind data for basis；
Yaw error seismic responses calculated module is corresponded to for being calculated with respect to the wind direction of cabin according to incoming described in every group of data
The yaw error of group obtains yaw error Optimized model；
Yaw error optimization module is used in the wind driven generator unit yaw system optimization to be optimized, by the incoming of actual measurement
Wind speed and incoming true wind direction input in the yaw error Optimized model, match corresponding yaw error, this is corresponding partially
In error correction to the input of the wind driven generator unit yaw system to be optimized of navigating；
Wherein, the yaw error for calculating corresponding group with respect to the wind direction of cabin according to incoming described in every group of data obtains yaw and misses
Poor Optimized model includes：
Each incoming in every group is counted with respect to the probability that the wind direction of cabin occurs, by the sequence of probability from big to small to coming in every group
The wind direction of the opposite cabin of stream is ranked up；
It calculates every group of top n incoming and is worth to the yaw error of corresponding group with respect to being averaged for the wind direction of cabin；
Every group of corresponding yaw error is gathered to obtain the yaw error Optimized model.
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