CN105649878B - Wind energy capturing method and device of wind generating set and wind generating set - Google Patents
Wind energy capturing method and device of wind generating set and wind generating set Download PDFInfo
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- CN105649878B CN105649878B CN201511032731.5A CN201511032731A CN105649878B CN 105649878 B CN105649878 B CN 105649878B CN 201511032731 A CN201511032731 A CN 201511032731A CN 105649878 B CN105649878 B CN 105649878B
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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
- F03D7/04—Automatic control; Regulation
- F03D7/042—Automatic control; Regulation by means of an electrical or electronic controller
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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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- 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
The embodiment of the invention provides a wind energy capturing method and device for a wind generating set and the wind generating set. The method comprises the following steps: acquiring wind condition data in real time according to a preset period; performing scatter fitting on the wind condition data acquired in the preset period to obtain a geometric central point of the wind condition data, wherein the geometric central point is used for representing the position of the maximum wind energy value; and comparing the geometric center point with the target geometric center point, and executing a corresponding wind driven generator control strategy according to the comparison result. By adopting the embodiment of the invention, the wind energy capturing capability of the wind driven generator set can be effectively improved, the reliability of the wind driven generator set can be effectively improved, the increase of fan load and wake effect caused by the fact that the impeller does not face the windward side can be reduced, and the fault and maintenance cost of the wind driven generator set can be reduced.
Description
Technical field
The present invention relates to wind power technology more particularly to the Wind energy extraction method, apparatus and wind-force of a kind of wind power generating set
Generating set.
Background technology
It is mechanical energy that wind power generating set, which is by the wind energy transformation that will be captured, then converts mechanical energy to setting for electric energy
It is standby.
Wind power generating set maximumlly utilizes wind-resources in actual operation, in order to improve, and promotes generated energy, generally
The head direction of wind power generating set is adjusted by yaw system so that impeller face is windward to inclined in wind power generating set
Control strategy navigate mainly by wind vane, acquires current wind speed and direction.
However, current wind speed and direction can not accurately be collected by wind vane, maximal wind-energy can not be captured, and such as
It is serious with wake effect that the non-face windward side of fruit impeller causes wind turbine load to increase, and seriously affects wind turbine normal operation and loss is sent out
Electricity.
Invention content
The object of the present invention is to provide a kind of wind power generating sets to capture maximal wind-energy method, and realizes this method
Device, to effectively promoted wind power generating set to the capture ability of wind energy and the reliability of wind power generating set, together
When can reduce the non-face windward side of impeller and the wind turbine load that generates increases and wake effect, reduce wind power generating set failure
And maintenance cost.
According to an aspect of the present invention, a kind of Wind energy extraction method of wind power generating set is provided.The method includes:
Obtain wind regime data in real time according to predetermined period;
Scatterplot fitting is carried out to the wind regime data obtained in the predetermined period, obtains the geometric center of the wind regime data
Point, the geometric center point is for indicating maximal wind-energy value position;
The geometric center point is compared with target geometric center point, and corresponding wind-force is executed according to comparison result
Generator control strategy.
According to another aspect of the present invention, a kind of device of the Wind energy extraction of control wind power generating set is provided.The dress
Set including:
Wind regime data acquisition module, for obtaining wind regime data in real time according to predetermined period;
Geometric center point determining module is obtained for carrying out scatterplot fitting to the wind regime data obtained in the predetermined period
To the geometric center point of the wind regime data, the geometric center point is for indicating maximal wind-energy value position;
Control module, for the geometric center point to be compared with target geometric center point, and according to comparison result
Execute corresponding wind-driven generator control strategy.
According to another aspect of the invention, a kind of wind power generating set is provided.The wind power generating set includes above-mentioned reality
The Wind energy extraction device of the wind power generating set of example offer is provided.
The Wind energy extraction method, apparatus and wind power generating set of the wind power generating set provided according to embodiments of the present invention,
Scatterplot fitting is carried out by the wind regime data obtained in real time in predetermined period, and to the wind regime data, obtains the wind regime data
Geometric center point, and then by the comparison with target geometric center point, controlled with the Wind energy extraction to wind power generating set
System, to effectively promote wind power generating set to the capture ability of wind energy and the reliability of wind power generating set, while can
The wind turbine load generated with reducing the non-face windward side of impeller increases and wake effect, reduces wind power generating set failure and dimension
Protect cost.
Description of the drawings
Fig. 1 is the flow chart of the Wind energy extraction method for the wind power generating set for showing according to embodiments of the present invention one;
Fig. 2 is the flow chart of the Wind energy extraction method for the wind power generating set for showing according to embodiments of the present invention two;
Fig. 3 is the illustrative diagram for the geometric figure for showing that the data point of wind regime data under polar coordinate system is constituted;
Fig. 4 is the illustrative diagram for showing the direction under polar coordinate system where the corresponding maximal wind-energy value of wind regime data;
Fig. 5 is to show that wind speed unit vector projects to the illustrative diagram in the direction where maximal wind-energy value;
Fig. 6 is the logic diagram of the Wind energy extraction device for the wind power generating set for showing according to embodiments of the present invention three;
Fig. 7 is the logic diagram of the Wind energy extraction device for the wind power generating set for showing according to embodiments of the present invention three.
Specific implementation mode
The inventive concept of this programme is, it is contemplated that the geometric center point of a geometric figure can reflect the geometric figure
In the position relatively concentrated of point aggregation therefore can be by by target geometric center point and the wind regime number that acquires in predetermined period
It is compared according to corresponding geometric center point, so that wind power generating set executes corresponding control strategy, to effectively be promoted
Wind power generating set can reduce the non-face of impeller to the capture ability of wind energy and the reliability of wind power generating set
Windward side and the wind turbine load that generates increases and wake effect, reduce wind power generating set failure and maintenance cost.
Detailed description of the present invention exemplary embodiment below in conjunction with the accompanying drawings.
Embodiment one
Fig. 1 is the flow chart of the Wind energy extraction method for the wind power generating set for showing according to embodiments of the present invention one.Pass through
This method is executed including device as shown in FIG. 6.
Referring to Fig.1, in step S110, wind regime data are obtained in real time according to predetermined period.
Wherein, predetermined period can be set according to actual conditions, such as 20 seconds, 1 minute, 5 minutes or 10 minutes etc..Wind
Condition data may include that the data of wind speed and/or the data of wind direction etc., wind direction can be determined by scheduled reference direction, example
Such as, if reference direction is direct north, the numerical value of wind direction can be the numerical value of the angle relative to direct north.
Specifically, the wind regime number of the wind regime data such as wind speed and/or the wind direction for acquiring current time can be pre-set
According to acquisition component, the wind regime data acquisition module concretely radar, anemobiagraph or wind vane etc..When wind power generating set works
When, the numerical value of the instantaneous wind speed at certain time point and corresponding wind direction can be acquired by the wind regime data acquisition components such as such as radar.For
Convenient for the analysis of the wind regime data to certain period, certain duration (i.e. predetermined period), wind-power electricity generation can be preset
Unit can acquire the numerical value of the instantaneous wind speed in the predetermined period and corresponding in real time by the wind regime such as radar data acquisition components
Wind direction.
Further, since the data of the environment, wind speed and direction around wind power generating set constantly change, in order to reduce wind-force
The time interval of data acquisition, such as 5 seconds or 10 seconds can also be arranged in the processing pressure of generating set.In this way, should whenever reaching
When time interval, wind regime data acquisition components acquire the numerical value of the instantaneous wind speed at current time and corresponding wind direction, and so on,
After reaching the corresponding duration of predetermined period, the wind regime data at collected multiple time points in the predetermined period are obtained.
In step S120, scatterplot fitting is carried out to the wind regime data obtained in the predetermined period, obtains the wind regime data
Geometric center point, the geometric center point is for indicating maximal wind-energy value position.
Wherein, scatterplot fitting can be to be fitted to discrete data point, so that multiple discrete group of data points synthesis one
A geometric figure.
Specifically, numerical value and corresponding wind direction of the instantaneous wind speed that the wind regime data acquisition components such as radar can be acquired etc.
Data according to scheduled rule setting in coordinate system (such as plane right-angle coordinate or polar coordinate system), can after being provided with
The data point of the wind regime data at multiple time points to be sequentially connected, the data point after connection can form a geometric figure,
In view of the geometric center point of a geometric figure can reflect the position that the point aggregation in the geometric figure is relatively concentrated, because
This, can determine the side where current wind generating set maximal wind-energy value by way of the geometric center point of wind regime data
To, be based on this, the geometry of the geometric figure can be calculated according to the algorithm of the geometric center point of regular figure or irregular figure
Central point, and the numerical value and wind direction of the wind speed of the geometric center point are obtained, to obtain the geometric center point of the wind regime data.
In step S130, which is compared with target geometric center point, and is executed according to comparison result
Corresponding wind-driven generator control strategy.
Wherein, target geometric center point can be pre-stored geometric center point, before target geometric center point can be
The corresponding geometric center point of wind regime data that one predetermined period obtains, can also be the wind regime in the pervious period at current time
The corresponding geometric center point of data.
Specifically, it is the wind regime data pair that previous predetermined period obtains with target geometric center point in the embodiment of the present invention
It is described in detail for the geometric center point answered, it is specific as follows:In order to which the Wind energy extraction to wind power generating set controls,
The target geometric center point of previous predetermined period can be determined with the processing of S110 through the above steps and S120, and store it in
Wind-force discharges in unit, wherein the data of target geometric center point may include the numerical value of wind speed and corresponding wind direction.It can will be pre-
The geometric center point of the wind regime data obtained in real time in fixed cycle is compared with the target geometric center point of previous predetermined period,
It, can be by the head of wind power generating set from target if the geometric center point is different from the wind regime data of target geometric center point
Geometric center point is adjusted to the geometric center point, is controlled the Wind energy extraction of wind power generating set with this so that wind-force is sent out
Motor group can capture maximum wind energy, improve the generating efficiency of wind power generating set.
The Wind energy extraction method of wind power generating set provided in an embodiment of the present invention, by being obtained in real time in predetermined period
Wind regime data, and scatterplot fitting is carried out to the wind regime data, obtains the geometric center point of the wind regime data, so by with mesh
The comparison for marking geometric center point, is controlled with the Wind energy extraction to wind power generating set, to effectively promote wind-power electricity generation
Unit to the capture ability of wind energy and the reliability of wind power generating set, while the non-face windward side of impeller can be reduced and
The wind turbine load of generation increases and wake effect, reduces wind power generating set failure and maintenance cost.
Embodiment two
Fig. 2 is the flow chart of the Wind energy extraction method for the wind power generating set for showing according to embodiments of the present invention two, described
Embodiment can be considered another concrete implementation scheme of Fig. 1.
With reference to Fig. 2 pre-stored history wind regime data are obtained in step S210.
Wherein, the wind regime data in the embodiment of the present invention may include the numerical value and wind direction of wind speed, and wind direction can pass through ground
Direction is managed to describe, can also be described by the angle determined with preset positive direction, for example, the positive north can be set
To for positive direction, the angle rotated clockwise since positive direction is as wind direction.
Specifically, in order to improve the accuracy of the wind regime data measured, radar can be selected as wind regime data acquisition portion
Part, radar acquire the numerical value of the wind speed of current point in time and corresponding wind direction according to preset time interval, and will acquisition
Wind speed numerical value and corresponding wind direction it is corresponding with current point in time storage, to obtain history wind regime data.
It should be noted that since radar is chronically at working condition, the data volumes of the wind regime data obtained compared with
It is more, can be different according to the difference in season or wind regime in different time periods, classify to history wind regime data, obtains more
The history wind regime data of a classification, for example, spring history wind regime data etc..
Furthermore, it is contemplated that wind speed and direction is always ceaselessly changing, and pre-stored all history wind regime data
Data volume is more, can carry out a point storehouse according to predetermined period to all history wind regime data and handle, by all history wind regime data
It is divided into multistage.
For example, predetermined period is 10 minutes, history wind regime data may include the numerical value of wind speed and corresponding wind direction, wind speed
Numerical value can be with V1、V2……V11It indicates, wind direction can be with A1、A2……A11It indicates, can be as shown in table 1,
Table 1
Time point | Wind speed | Wind direction |
14:20:00 | V1 | A1 |
14:22:00 | V2 | A2 |
14:24:00 | V3 | A3 |
14:26:00 | V4 | A4 |
14:28:00 | V5 | A5 |
14:30:00 | V6 | A6 |
14:32:00 | V7 | A7 |
14:34:00 | V8 | A8 |
14:36:00 | V9 | A9 |
14:38:00 | V10 | A10 |
14:40:00 | V11 | A11 |
Since predetermined period is 10 minutes, then history wind regime data as shown in Table 1 can be by time point 14:20:00,14:
22:00,14:24:00,14:26:00,14:28:00 and 14:30:00 corresponding history wind regime data are determined as a predetermined week
Phase corresponding history wind regime data can obtain the corresponding history of two adjacent predetermined periods by the history wind regime data of table 1
Wind regime data, first history wind regime data corresponding period are 14:20:00~14:30:00, wind regime data may include:
(V1, A1)、(V2, A2)、(V3, A3)、(V4, A4)、(V5, A5) and (V6, A6);The second point of storehouse wind regime data corresponding period is
14:30:00~14:40:00, wind regime data may include:(V6, A6)、(V7, A7)、(V8, A8)、(V9, A9)、(V10, A10) and (V11,
A11)。
In step S220, which is pre-processed, removal interference wind regime data obtain effective history wind
Condition data.
Specifically, due to wind power generating set can by certain flashy fitful wind or other external environments are influenced so that this
When the numerical value of wind speed that gets and wind direction often greatly deviate from the aggregation positions of history wind regime data so that the history wind
The accuracy of condition data reduces, and in order to improve the accuracy of the history wind regime data, and is caught to the wind energy of wind power generating set
That obtains is precisely controlled, and the data point of above-mentioned deviation major part data point can be deleted from the history wind regime data, is had
History wind regime data are imitated, which reduces the unstable interference data that fitful wind or other extraneous factors are brought.
In step S230, scatterplot fitting is carried out to the history wind regime data, obtains the corresponding target of history wind regime data
Geometric center point.
Wherein, which can be the effective history number obtained later by the pretreatment of the step S220
According to can also be without pretreated history wind regime data.
Specifically, scatterplot fitting can be carried out to the history wind regime data, you can with by the number in the history wind regime data
Strong point connects to form a geometric figure, and the position for calculating the geometric center point of the geometric figure can be used as the history wind regime
The corresponding target geometric center point of data, concrete processing procedure can be found in the related content of step S120 in above-described embodiment one,
Details are not described herein.
Wherein, the specific implementation of the processing of above-mentioned steps S230 can be varied, a kind of specific place presented below
Reason mode, specifically may include the following contents:
The history wind regime data are directed into polar coordinate system by step 1.
Specifically, in order to simplify data handling procedure, and in view of the data mode in wind regime data (includes wind speed
Numerical value and wind direction), can wind regime data be set using polar mode.Specifically, in order to simplify the expression shape of wind regime data
Formula, can be using wind regime data acquisition components (i.e. radar) position as pole, the due east direction conduct vertical with direct north
Polar axis direction, establishes polar coordinate system.It can be according to the numerical value and wind direction of the wind speed of any data point in history wind regime data (such as
Wind regime data (V in table 11, A1) and (V2, A2) etc.), the corresponding coordinate points of above-mentioned data are painted into the polar coordinate system, from
And obtain position of the history wind regime data in the polar coordinate system.Wherein, wind direction can be the angle between polar axis, and pole arrives
The distance between data point is the numerical value of wind speed.
Step 2 connects the data point of the outermost of the history wind regime data, obtains closed geometric figure, by geometric graph
The geometric center point of shape is as target geometric center point.
Specifically, it is contemplated that the shape of geometric figure relies primarily on shape determined by outermost data point (or coordinate points)
Shape, therefore, the geometric figure that can be obtained by connecting outermost data point in the geometric center point for determining geometric figure.Tool
Body, after history wind regime data are painted into the polar coordinate system, the data point of outermost can will be in the polar coordinate system
(or coordinate points) are connected using broken line, after the completion of connection, can obtain a closed regularly or irregularly geometric figure,
At this point, may also include other data in history wind regime data in addition to the data point of outermost in the closed geometric figure
Point.Later, the coordinate value of the geometric center point of the geometric figure can be calculated, and using the geometric center point as the history wind regime
The corresponding target geometric center point of data.
For example, as shown in figure 3, include two wind regime data in polar coordinate system, i.e. black dot (including B1、B2……
B12) corresponding data composition first wind regime data and soft dot (including C1、C2……C11) corresponding data composition
Second wind regime data, wherein the corresponding black dot B of first wind regime data1、B2And B3Deviate other data points, it can be with
These data points are not considered, it, can be by the B of outermost for remaining black dot4、B5、B6、B7、B8、B9、B10And B11Even
It connects, to form a closed geometric figure, the coordinate value of the geometric center point of the geometric figure can be calculated, pass through calculating
Geometric center point B can be obtained0, wherein B12Inside in the geometric figure.Similarly, it for second wind regime data, can pick
Except C1And C2, and by C3、C4、C5、C6、C7、C8、C9、C10And C11Connection forms a closed geometric figure, and it is several can to calculate this
The coordinate value of the geometric center point of what figure, by can be calculated geometric center point C0。
It should be noted that the processing of step S120 in above-described embodiment one can also through the above steps one and step
Two mode is handled, and for details, reference can be made to the related contents of above-mentioned steps one and step 2, and details are not described herein.
In step S240, wind regime data are obtained in real time according to predetermined period.
In step S250, scatterplot fitting is carried out to the wind regime data obtained in predetermined period, obtains the several of the wind regime data
What central point, the geometric center point is for indicating maximal wind-energy value position.
Wherein, the processing of above-mentioned steps S240 and S250 can be found in step S110 and step S120 in above-described embodiment one
Related content, details are not described herein.
In step S260, calculate line from the pole of the polar coordinate system to geometric center point with to target geometric center point
Line angle numerical value.
Direction where maximal wind-energy value may include two parts, i.e.,:It will be several from the pole of the polar coordinate system to the target
The direction of what central point is as the direction where the corresponding maximal wind-energy value of history wind regime data;It will be from the pole of the polar coordinate system
Point is to the direction of the geometric center point as the direction where the corresponding maximal wind-energy value of the wind regime data.
Based on this, the specific processing of above-mentioned steps S260 can be:Example based on Fig. 3, can be by black dot in Fig. 3
Coordinate data be set as history wind regime data, by the coordinate data of soft dot in Fig. 3 be set as obtain wind regime data, then
As shown in figure 4, can be from the pole O of the polar coordinate system to target geometric center point B0A ray is drawn, i.e., such as penetrating in Fig. 4
Line K1;From pole O to geometric center point C0A ray is drawn, i.e., such as the ray K in Fig. 42, to ray K1With ray K2's
Direction respectively as where maximal wind-energy value in previous predetermined period direction and present predetermined period in where maximal wind-energy value
Direction.
Further, as shown in figure 5, projecting calculation formula using unit vector
Each data point in history wind regime data can be projected to the direction of wind power generating set capture maximal wind-energy,
In, eiFor i-th of wind speed unit vector, (x1,y1) it is its rectangular co-ordinate;emaxFor the unit vector in maximal wind-energy direction, (x2,
y2) it is its rectangular co-ordinate;For its projector distance.
Due to wind energy formula
In, atmospheric density ρ and wind sweeping area s are of substantially equal to same wind power generating set, therefore the present invention mainly examines
ConsiderInfluence to maximal wind-energy.Wherein, ρ is atmospheric density, and s is impeller wind sweeping area, viFor i-th of wind speed, t is time, W
For wind energy.
According to wind energy formula
Seek wind energy value E of i-th of wind speed unit vector on the direction that wind power generating set captures maximal wind-energymax,
In, viFor i-th of wind speed size, EmaxFor the maximal wind-energy value that can be captured on the direction of maximal wind-energy value.
The corresponding maximal wind-energy value that can be captured on maximal wind-energy direction of history wind regime data can be obtained by above formula.
Further, the wind regime data that can be obtained in real time by the above method are corresponding to be captured on maximal wind-energy direction
Maximal wind-energy value.
According to formula
θΔt=θt+1-θt………….…………….………...…….(4)
Calculate the angle number between the direction between target geometric center point and the geometric center point where maximal wind-energy value
Value θΔt, wherein θtFor the direction where the corresponding maximal wind-energy value of history wind regime data, θt+1For the wind regime data obtained in real time
Direction where corresponding maximal wind-energy value, θΔtFor the angle numerical value in the direction where the maximal wind-energy value of the two.
In step S270, the coordinate based on the geometric center point and target geometric center point calculates related coefficient.
Specifically, according to formula
Calculate the correlation coefficient ρ between target geometric center point and the geometric center pointΔt, wherein x is history wind regime number
Wind speed in, xiFor the numerical value of the wind speed in history wind regime data,For the wind speed in history wind regime data numerical value it is equal
Value;Y is the wind speed in the wind regime data obtained in real time, yiFor the numerical value of the wind speed of the wind regime data obtained in real time,It is real-time
The mean value of the numerical value of the wind speed of the wind regime data of acquisition;Cov (x, y) is the covariance of x and y,For the variance of x,For the variance of y.
It should be noted that step S260 and S270 are executed according to sequencing in the present embodiment, in practical application
Middle step S260 and S270 can be executed with random order, that is, first carry out S270, execute S260 or S260 again later and S270 can
It is performed simultaneously, the present embodiment does not limit this.
In step S280, corresponding wind-driven generator control strategy is executed based on the angle numerical value and the related coefficient.
It specifically, can be by angle numerical value θΔtAnd correlation coefficient ρΔtBe input to wind power generating set master control system or
In yaw control system, by the difference of related coefficient, the difference of weight can be by angle numerical value θΔtAnd correlation coefficient ρΔtIt closes
Reason is added to yaw control system.
In practical applications, the mode controlled the Wind energy extraction of wind power generating set can be varied, below
A kind of feasible processing mode is provided, specifically may include:For angle numerical value θΔtAnd correlation coefficient ρΔt, item can be preset
Part | θΔt|≤3 ° and | ρΔt|≥0.8.It, can be according to the folder received when the Wind energy extraction to wind power generating set controls
Angle numerical value θΔtAnd correlation coefficient ρΔt, judge whether the two meets above-mentioned condition respectively, if conditions are not met, then can trigger wind-force hair
Master control system in motor group or yaw control system, to realize that wind power generating set can capture maximal wind-energy, such as
Fruit meets, then does not trigger wind power generating set and carry out any processing.
It should be noted that when wind power generating set works, what the radar in wind power generating set can obtain it in real time
Data are as variable quantity, according to several inner range formulas in Europe
Calculate separately collected wind speed per secondGeometric center point corresponding with the history wind regime data of multiple predetermined periods
Between space length l, wherein vixAnd viyFor i-th of wind speed of the n wind regime data obtained in real time in timing node
Numerical value is converted to the coordinate value in rectangular coordinate system, kjxAnd kjyFor j-th in the corresponding geometric center point of history wind regime data
Geometric center point is converted to the coordinate value in rectangular coordinate system, and l is each collected wind speed real time data viWith k predetermined weeks
The corresponding geometric center point k of history wind regime data of phasejThe distance between.
Passing through space length l, it is believed that the distance of two objects is closer, and the similarity degree of the two is bigger, therefore, l
It can be minimized.Therefore, the similar journey of the data point geometric center point corresponding with history wind regime data of acquisition can be passed through
Degree, embodies the variation characteristic of current wind speed and direction in real time.
The Wind energy extraction method of wind power generating set provided in an embodiment of the present invention, on the one hand, logical to previous predetermined period
It crosses the wind regime data such as the collected wind speed and direction of wind regime data acquisition components to be analyzed, the data got is sat by pole
Target mode draws scatter plot, and outlier is rejected after being pre-processed to wind regime data, fits target geometric center point, into
And by the comparison of the wind regime the data corresponding geometric center point and target geometric center point that obtain in real time, execute corresponding wind-force
Generator set control strategy, the wind turbine load generated so as to reduce the non-face windward side of impeller increases and wake effect,
Reduce wind power generating set failure and maintenance cost;On the other hand, by comparing target geometric center point and what is inputted in real time adopt
On direction where collection data or the corresponding geometric center point of wind regime data that obtains in real time maximal wind-energy value between the two
Angular deviation and related coefficient, and corresponding data are input to the master control system and yaw control system of wind power generating set
In, to optimize Yaw Control Strategy, to effectively promote capture ability and wind-power electricity generation of the wind power generating set to wind energy
The reliability of unit.
Embodiment three
Based on the same technical idea, Fig. 6 is that the wind energy for the wind power generating set for showing according to embodiments of the present invention three is caught
Obtain the logic diagram of device.With reference to Fig. 6, which includes wind regime data acquisition module 610, geometric center point determining module 620
With control module 630.
Wind regime data acquisition module 610 for obtaining wind regime data according to predetermined period in real time.
Geometric center point determining module 620 is used to carry out scatterplot fitting to the wind regime data obtained in the predetermined period, obtains
To the geometric center point of the wind regime data, the geometric center point is for indicating maximal wind-energy value position.
Control module 630 is used to the geometric center point being compared with target geometric center point, and according to comparison result
Execute corresponding wind-driven generator control strategy.
Further, the embodiment based on Fig. 6, device as shown in Figure 7 further include:
History wind regime acquisition module 640, for obtaining pre-stored history wind regime data;
It is several to obtain target for carrying out scatterplot fitting to the history wind regime data for target geometric center point determining module 650
What central point.
Further, device as shown in Figure 7 further includes:
Preprocessing module 660, for being pre-processed to the history wind regime data, removal interference wind regime data are had
Imitate history wind regime data.
In addition, target geometric center point determining module 650 is used to import the history wind regime data in polar coordinate system;Even
The data point for connecing the outermost of the history wind regime data, obtains closed geometric figure, by the geometric center point of the geometric figure
As target geometric center point.
In addition, control module 630 is used for:Calculate line from the pole of the polar coordinate system to geometric center point with to target
The angle numerical value of the line of geometric center point;Coordinate based on the geometric center point and target geometric center point calculates phase relation
Number;Corresponding wind-driven generator control strategy is executed based on the angle numerical value and related coefficient.
The Wind energy extraction device of wind power generating set provided in an embodiment of the present invention, by being obtained in real time in predetermined period
Wind regime data, and scatterplot fitting is carried out to the wind regime data, obtains the geometric center point of the wind regime data, so by with mesh
The comparison for marking geometric center point, is controlled with the Wind energy extraction to wind power generating set, to effectively promote wind-power electricity generation
Unit to the capture ability of wind energy and the reliability of wind power generating set, while the non-face windward side of impeller can be reduced and
The wind turbine load of generation increases and wake effect, reduces wind power generating set failure and maintenance cost.
Further, in the embodiment of the present invention, on the one hand, acquired by wind regime data acquisition components to previous predetermined period
To the wind regime data such as wind speed and direction analyzed, the data got are drawn into scatter plot by polar mode,
Outlier is rejected after being pre-processed to wind regime data, fits target geometric center point, and then the wind regime by obtaining in real time
The comparison of data corresponding geometric center point and target geometric center point executes corresponding wind power generating set control strategy, from
And the wind turbine load that can be reduced the non-face windward side of impeller and generate increases and wake effect, reduces wind power generating set failure
And maintenance cost;On the other hand, it obtains by comparing target geometric center point and the gathered data inputted in real time or in real time
The angle numerical value and related coefficient on direction where the corresponding geometric center point of wind regime data maximal wind-energy value between the two,
And corresponding data are input in the master control system and yaw control system of wind power generating set, control plan is yawed with optimization
Slightly, to effectively promote wind power generating set to the capture ability of wind energy and the reliability of wind power generating set.
Example IV
Based on the same technical idea, the embodiment of the present invention four provides a kind of wind power generating set.The wind power generating set
It may include the Wind energy extraction device for the wind power generating set that above-described embodiment three provides.
Wind power generating set provided in an embodiment of the present invention, by the wind regime data obtained in real time in predetermined period, and
Scatterplot fitting is carried out to the wind regime data, obtains the geometric center point of the wind regime data, so by with target geometric center point
Comparison, controlled with the Wind energy extraction to wind power generating set, to effectively promoted wind power generating set to wind energy
The reliability of capture ability and wind power generating set, while the wind turbine that can be reduced the non-face windward side of impeller and generate carries
Lotus increases and wake effect, reduces wind power generating set failure and maintenance cost.
Further, in the embodiment of the present invention, on the one hand, acquired by wind regime data acquisition components to previous predetermined period
To the wind regime data such as wind speed and direction analyzed, the data got are drawn into scatter plot by polar mode,
Outlier is rejected after being pre-processed to wind regime data, fits target geometric center point, and then the wind regime by obtaining in real time
The comparison of data corresponding geometric center point and target geometric center point executes corresponding wind power generating set control strategy, from
And the wind turbine load that can be reduced the non-face windward side of impeller and generate increases and wake effect, reduces wind power generating set failure
And maintenance cost;On the other hand, it obtains by comparing target geometric center point and the gathered data inputted in real time or in real time
The angle numerical value and related coefficient on direction where the corresponding geometric center point of wind regime data maximal wind-energy value between the two,
And corresponding data are input in the master control system and yaw control system of wind power generating set, control plan is yawed with optimization
Slightly, to effectively promote wind power generating set to the capture ability of wind energy and the reliability of wind power generating set.
It may be noted that according to the needs of implementation, each step/component described in this application can be split as more multistep
The part operation of two or more step/components or step/component can be also combined into new step/component by suddenly/component,
To achieve the object of the present invention.
It is above-mentioned to be realized in hardware, firmware according to the method for the present invention, or be implemented as being storable in recording medium
Software or computer code in (such as CD ROM, RAM, floppy disk, hard disk or magneto-optic disk), or it is implemented through network download
Original storage in long-range recording medium or nonvolatile machine readable media and the meter that will be stored in local recording medium
Calculation machine code, to which method described here can be stored in using all-purpose computer, application specific processor or may be programmed or special
It is handled with such software in the recording medium of hardware (such as ASIC or FPGA).It is appreciated that computer, processor, micro-
Processor controller or programmable hardware include can store or receive software or computer code storage assembly (for example, RAM,
ROM, flash memory etc.), when the software or computer code are by computer, processor or hardware access and execute, realize herein
The processing method of description.In addition, when all-purpose computer accesses the code for realizing the processing being shown here, the execution of code
All-purpose computer is converted into the special purpose computer for executing the processing being shown here.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (9)
1. a kind of Wind energy extraction method of wind power generating set, which is characterized in that the method includes:
Obtain wind regime data in real time according to predetermined period;
Scatterplot fitting is carried out to the wind regime data obtained in the predetermined period, obtains the geometric center point of the wind regime data,
The geometric center point is for indicating maximal wind-energy value position, wherein scatterplot is fitted to the number to discrete wind regime data
Strong point is fitted, so that the group of data points of multiple discrete wind regime data synthesizes a geometric figure;
The geometric center point is compared with target geometric center point, and corresponding wind-power electricity generation is executed according to comparison result
Machine control strategy, the target geometric center point are predetermined geometric center point;
Wherein, the method further includes:
Obtain pre-stored history wind regime data;
Scatterplot fitting is carried out to the history wind regime data, obtains target geometric center point.
2. according to the method described in claim 1, it is characterized in that, the method further includes:
The history wind regime data are pre-processed, removal interference wind regime data obtain effective history wind regime data.
3. according to the method described in claim 1, it is characterized in that, it is described to the history wind regime data carry out scatterplot fitting,
Target geometric center point is obtained to specifically include:
The history wind regime data are directed into polar coordinate system;
The data point for connecting the outermost of the history wind regime data, obtains closed geometric figure, by the geometric figure
Geometric center point is as target geometric center point.
4. according to the method described in claim 3, it is characterized in that, described by the geometric center point and target geometric center point
It is compared, and corresponding wind-driven generator control strategy is executed according to comparison result and is specifically included:
Calculate the angle of the line and the line to target geometric center point from the pole of the polar coordinate system to geometric center point
Numerical value;
Coordinate based on the geometric center point and target geometric center point calculates related coefficient;
Corresponding wind-driven generator control strategy is executed based on the angle numerical value and related coefficient.
5. a kind of Wind energy extraction device of wind power generating set, which is characterized in that described device includes:
Wind regime data acquisition module, for obtaining wind regime data in real time according to predetermined period;
Geometric center point determining module obtains institute for carrying out scatterplot fitting to the wind regime data obtained in the predetermined period
The geometric center point of wind regime data is stated, the geometric center point is for indicating maximal wind-energy value position, wherein scatterplot is fitted
It is fitted for the data point to discrete wind regime data, so that the group of data points synthesis one of multiple discrete wind regime data is several
What figure;
Control module for the geometric center point to be compared with target geometric center point, and is executed according to comparison result
Corresponding wind-driven generator control strategy, the target geometric center point are predetermined geometric center point;
Wherein, described device further includes:
History wind regime acquisition module, for obtaining pre-stored history wind regime data;
Target geometric center point determining module is obtained for carrying out scatterplot fitting to the history wind regime data in target geometry
Heart point.
6. device according to claim 5, which is characterized in that described device further includes:
Preprocessing module, for being pre-processed to the history wind regime data, removal interference wind regime data obtain effective history
Wind regime data.
7. device according to claim 5, which is characterized in that the target geometric center point determining module is used for:
The history wind regime data are imported in polar coordinate system;The data point of the outermost of the history wind regime data is connected,
Closed geometric figure is obtained, using the geometric center point of the geometric figure as target geometric center point.
8. device according to claim 7, which is characterized in that the control module is used for:It calculates from the polar coordinate system
Pole to geometric center point line with to target geometric center point line angle numerical value;Based on the geometric center point
Related coefficient is calculated with the coordinate of target geometric center point;Corresponding wind-force hair is executed based on the angle numerical value and related coefficient
Motor control strategy.
9. a kind of wind power generating set, which is characterized in that the wind power generating set includes such as any one of claim 5-8 institutes
The Wind energy extraction device for the wind power generating set stated.
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CN109209765B (en) * | 2017-06-29 | 2019-09-10 | 北京金风科创风电设备有限公司 | The pitch control method and system of wind power generating set |
CN109946475B (en) * | 2017-12-21 | 2020-04-17 | 新疆金风科技股份有限公司 | Method and device for determining wind speed |
CN111237136A (en) * | 2020-03-25 | 2020-06-05 | 湖南科技大学 | Method and system for extracting state information of wind driven generator sensor |
CN113094997B (en) * | 2021-04-19 | 2022-04-01 | 华北电力大学 | Wind turbine generator operation simulation method, device, equipment and storage medium |
CN115825894B (en) * | 2022-11-17 | 2023-08-18 | 中国能源建设集团广东省电力设计研究院有限公司 | Method, device, terminal equipment and medium for determining wind energy capturing position |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101349240A (en) * | 2007-07-20 | 2009-01-21 | 西门子公司 | Method for wind turbine yaw control |
CN101568722A (en) * | 2007-04-10 | 2009-10-28 | 三菱重工业株式会社 | Wind turbine generator and its control method |
CN103649528A (en) * | 2011-05-19 | 2014-03-19 | 米塔科技有限公司 | Method of wind turbine yaw angle control and wind turbine |
CN103899497A (en) * | 2012-12-27 | 2014-07-02 | 西门子公司 | Method of detecting a degree of yaw error of a wind turbine |
CN103994022A (en) * | 2013-02-19 | 2014-08-20 | 西门子公司 | Method and system for improving wind farm power production efficiency |
CN104373293A (en) * | 2014-11-18 | 2015-02-25 | 新疆金风科技股份有限公司 | Method and device for controlling wind generating set to yaw |
CN104481804A (en) * | 2014-12-05 | 2015-04-01 | 北京金风科创风电设备有限公司 | Wind power generator group wind correction control method, device and system |
EP2860392A1 (en) * | 2013-10-09 | 2015-04-15 | Siemens Aktiengesellschaft | Method for adjusting the yaw angle of a wind turbine relative to a given wind direction |
CN104763585A (en) * | 2015-02-06 | 2015-07-08 | 湘潭大学 | Distributed data collection based wind turbine generator unit dynamic reconfiguring method |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8949097B2 (en) * | 2011-08-12 | 2015-02-03 | California Institute Of Technology | Methods and systems for comparing vertical axis turbine arrays and providing configurations thereof |
-
2015
- 2015-12-31 CN CN201511032731.5A patent/CN105649878B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101568722A (en) * | 2007-04-10 | 2009-10-28 | 三菱重工业株式会社 | Wind turbine generator and its control method |
CN101349240A (en) * | 2007-07-20 | 2009-01-21 | 西门子公司 | Method for wind turbine yaw control |
CN103649528A (en) * | 2011-05-19 | 2014-03-19 | 米塔科技有限公司 | Method of wind turbine yaw angle control and wind turbine |
CN103899497A (en) * | 2012-12-27 | 2014-07-02 | 西门子公司 | Method of detecting a degree of yaw error of a wind turbine |
CN103994022A (en) * | 2013-02-19 | 2014-08-20 | 西门子公司 | Method and system for improving wind farm power production efficiency |
EP2860392A1 (en) * | 2013-10-09 | 2015-04-15 | Siemens Aktiengesellschaft | Method for adjusting the yaw angle of a wind turbine relative to a given wind direction |
CN104373293A (en) * | 2014-11-18 | 2015-02-25 | 新疆金风科技股份有限公司 | Method and device for controlling wind generating set to yaw |
CN104481804A (en) * | 2014-12-05 | 2015-04-01 | 北京金风科创风电设备有限公司 | Wind power generator group wind correction control method, device and system |
CN104763585A (en) * | 2015-02-06 | 2015-07-08 | 湘潭大学 | Distributed data collection based wind turbine generator unit dynamic reconfiguring method |
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