CN108918905A - The prediction technique and device of wind power generating set wind speed - Google Patents
The prediction technique and device of wind power generating set wind speed Download PDFInfo
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- CN108918905A CN108918905A CN201810742962.2A CN201810742962A CN108918905A CN 108918905 A CN108918905 A CN 108918905A CN 201810742962 A CN201810742962 A CN 201810742962A CN 108918905 A CN108918905 A CN 108918905A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P5/00—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft
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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
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P5/00—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft
- G01P5/26—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft by measuring the direct influence of the streaming fluid on the properties of a detecting optical wave
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/48—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
- G01S7/481—Constructional features, e.g. arrangements of optical elements
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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Abstract
The present invention provides the prediction technique and device of a kind of wind power generating set wind speed, the prediction technique includes：Calculate the time difference of the measuring wind speed time of the measuring wind speed time of laser radar and another wind measuring device of wind power generating set；The air speed data of the wind measuring device measurement of the air speed data Corresponding matching for each data bins for carrying out first time data point storehouse to the air speed data of lidar measurement to handle, and seeking handling with first time data point storehouse according to the time difference；It carries out second of data point storehouse to the air speed data of the wind measuring device measurement obtained to handle, and the result for dividing storehouse to handle according to second of data carries out forecasting wind speed.The present invention is predicted by the wind speed to wind power generating set, and can seek the probability distribution value of the wind speed of prediction online, realizes the online evaluation of the confidence level to the prediction of wind speed of wind power generating set.
Description
Technical field
The present invention relates to technical field of wind power, in particular, be related to a kind of wind power generating set wind speed prediction technique and
Device.
Background technique
In recent years, technical field of wind power development from originally with the expansion of amount gradually to seek technology innovation transformation.Its
In, in terms of the measuring wind speed of wind power generating set, successively there are the instruments such as anemobiagraph, wind vane, microwave radar, acoustic radar to go out
It is existing, but anemobiagraph and wind vane can only realize spot measurement, and the device of this quasi-tradition is influenced vulnerable to freezing weather, microwave thunder
Up to detection blind area, and sound, since common wavelengths are mainly centimeter wave, will be will appear under clear sky weather condition with acoustic radar
The detection of radar is so that the case where signal-to-noise ratio reduction easily occur in night and high altitude localities or even being unable to measure.Currently, laser
Radar surveying wind speed appears in various applications relevant to measuring wind speed as novel measuring wind speed means, and laser radar is pre-
Surveying wind speed method has very much, is mainly used in variable pitch feedforward control and yaw calibration.
In the prior art, although using laser radar prediction of wind speed method there are many kinds of, it is most of simply by from
Line mode acquires historical data, and after the processing such as being analyzed historical data, being counted, could prediction of wind speed and to prediction
The confidence level of wind speed is assessed, and is unable to on-line prediction wind speed and is carried out the assessment of possibility to the wind speed of prediction.
Summary of the invention
In view of the deficiencies of the prior art, the present invention provides the prediction techniques and device of a kind of wind power generating set wind speed.
An aspect of of the present present invention provides a kind of prediction technique of wind power generating set wind speed, and the prediction technique includes：Institute
Stating prediction technique includes：The wind speed for calculating the measuring wind speed time of laser radar and another wind measuring device of wind power generating set is surveyed
Measure the time difference of time；It carries out first time data point storehouse to the air speed data of lidar measurement to handle, and according to the time
Difference seeks the wind measuring device measurement of the air speed data Corresponding matching of each data bins handled with first time data point storehouse
Air speed data；It carries out second of data point storehouse to the air speed data of the wind measuring device measurement obtained to handle, and according to second number
Forecasting wind speed is carried out according to the result for dividing storehouse to handle.
Preferably, the laser radar is mounted in the cabin of wind power generating set, and the wind measuring device is to be mounted on wind
It anemobiagraph in power generator group cabin and/or is mounted on apart from a certain range of ground laser radar of wind power generating set.
Preferably, the time difference of the measuring wind speed time for calculating laser radar and the measuring wind speed time of wind measuring device
The step of include：Obtain the annual mean wind speed data of wind power plantWith the survey wind distance d of laser radar, wherein the annual wind
Fast dataIt is obtained by the data of the anemometer tower acquisition in wind power plant, it is described to survey the position that wind distance d is lidar measurement wind speed
Set the distance at the hub centre position apart from wind power generating set；To the annual mean wind speed data of acquisitionWith measurement distance d
It is calculated to obtain the time difference
Preferably, the air speed data progress first time data point storehouse to lidar measurement is handled, and according to described
The wind measuring device that time difference seeks the air speed data Corresponding matching of each data bins handled with first time data point storehouse is surveyed
The step of air speed data of amount includes：First time data are carried out according to air speed data of the scheduled wind speed section to lidar measurement
Divide storehouse processing, to obtain multiple laser radar air speed datas storehouse；Select any one time t in time difference Δ t as wind speed
Predicted time, and according to the forecasting wind speed time obtain respectively with the air speed data pair in multiple laser radar air speed datas storehouse
Answer the air speed data of matched wind measuring device measurement.
Preferably, second of data point storehouse of air speed data progress of the described pair of wind measuring device measurement obtained is handled, and according to
The step of carrying out forecasting wind speed according to the result of second data point storehouse processing include：Respectively to obtaining with multiple laser radar wind
The air speed data of the wind measuring device measurement of air speed data Corresponding matching in fast data bins carries out second of data point storehouse and handles, with
Obtain multiple wind measuring device air speed datas storehouse；Air speed data in multiple wind measuring device air speed datas storehouse is analyzed, is obtained
The largest number of wind measuring device air speed datas of air speed data storehouse, and by the wind speed of wind speed section where the wind measuring device air speed data storehouse
As prediction of wind speed.
Preferably, further include：When predicting the wind speed of the wind power generating set in different time sections, and seeking different
Between prediction of wind speed in section probability distribution value, wherein the wind speed of data bins where the probability distribution value refers to prediction of wind speed
Data amount check accounts for the ratio of total air speed data number.
Preferably, the wind speed to the wind power generating set in different time sections is predicted, and seeks different time
Section in prediction of wind speed probability distribution value the step of include：Data update is carried out to the air speed data that data divide storehouse to handle, and
The updated air speed data of data is analyzed, to obtain newest prediction of wind speed and probability distribution value, wherein the data are more
It is newly by the wind speed number of the data point storehouse processing in the air speed data and previous time period of the data point storehouse processing in the period
According to merging.
Another aspect of the present invention provides a kind of prediction meanss of wind power generating set wind speed, and the prediction meanss include：
Time difference obtains module, is configured as calculating the measuring wind speed time of laser radar and another wind measuring device of wind power generating set
The measuring wind speed time time difference；Air speed data matching module is configured as carrying out the air speed data of lidar measurement
First time data point storehouse is handled, and each data bins for seeking handling with first time data point storehouse according to the time difference
The air speed data of the wind measuring device measurement of air speed data Corresponding matching；Forecasting wind speed module is configured as to the survey wind dress obtained
The air speed data for setting measurement carries out second of data point storehouse and handles, and the result for dividing storehouse to handle according to second of data carries out wind speed
Prediction.
Preferably, the laser radar is mounted in the cabin of wind power generating set, and the wind measuring device is to be mounted on wind
It anemobiagraph in power generator group cabin and/or is mounted on apart from a certain range of ground laser radar of wind power generating set.
Preferably, the air speed data matching module includes：First time data divide storehouse processing unit, according to scheduled wind speed
Section carries out first time data point storehouse to the air speed data of lidar measurement and handles, to obtain multiple laser radar air speed datas
Storehouse；Matching unit selects any one time in the time difference as the forecasting wind speed time, and according to the forecasting wind speed time
Obtain the air speed data respectively with the measurement of the wind measuring device of the air speed data Corresponding matching in multiple laser radar air speed datas storehouse.
Preferably, the forecasting wind speed module includes：Second of data divide storehouse processing unit, respectively to obtain with it is multiple
The air speed data of the wind measuring device measurement of air speed data Corresponding matching in laser radar air speed data storehouse carries out second of data
Divide storehouse processing, to obtain multiple wind measuring device air speed datas storehouse；Forecasting wind speed unit, in multiple wind measuring device air speed datas storehouse
Air speed data analyzed, obtain the largest number of wind measuring device air speed datas of air speed data storehouse, and by the wind measuring device wind
The wind speed of wind speed section is as prediction of wind speed where fast data bins.
Preferably, further include：Probability distribution value computing module, is configured as to the wind power generating set in different time sections
Wind speed predicted, and seek the probability distribution value of the prediction of wind speed in different time sections, wherein the probability distribution value is
The air speed data number of data bins accounts for the ratio of total air speed data number where referring to prediction of wind speed.
Preferably, the prediction meanss are arranged in the master controller of wind-driven generator.
Another aspect provides a kind of computer readable storage mediums, are stored with computer program, feature
It is, when the computer program is run by processor, the processor executes wind power generating set wind speed as described above
Prediction technique.
Another aspect provides a kind of computer equipments, the storage including processor and storage computer program
Device, when the computer program is run by processor, the processor executes the pre- of wind power generating set wind speed as described above
Survey method.
In the present invention, the wind speed of wind power generating set is carried out in advance by being realized based on laser radar and wind measuring device
It surveys, and the probability distribution value of the wind speed of prediction can be sought online, realize the confidence level to the prediction of wind speed of wind power generating set
Online evaluation.
Detailed description of the invention
Pass through the description carried out below in conjunction with attached drawing, above and other aspects, the feature of exemplary embodiment of the present invention
It will be more readily apparent from advantage, in the accompanying drawings：
Fig. 1 shows a kind of flow chart of the prediction technique of wind power generating set wind speed of embodiment according to the present invention；
Fig. 2 shows the scheme of installation that the wind measuring device of an exemplary embodiment of the present invention is anemobiagraph；
The wind measuring device that Fig. 3 shows an exemplary embodiment of the present invention is the scheme of installation of ground laser radar；
Fig. 4 shows a kind of block diagram of the prediction meanss of wind power generating set wind speed of embodiment according to the present invention；
Fig. 5 shows the block diagram of the air speed data matching module of embodiment according to the present invention；
Fig. 6 shows the block diagram of the forecasting wind speed module of embodiment according to the present invention.
Specific embodiment
The present invention of the description to help comprehensive understanding to be defined by the claims and their equivalents referring to the drawings is provided
Exemplary embodiment.Description referring to the drawings includes various specific details to help to understand, but the specific detail
It only is seen as illustrative.Therefore, it will be appreciated by those of ordinary skill in the art that not departing from scope and spirit of the present invention
In the case where, the embodiments described herein can be made various changes and modifications.In addition, for clarity and briefly, public affairs can be omitted
Know the description of function and structure.
It is described below and is not limited to literal meaning with term used in claim and word, but only used by inventor
It enables to clear and consistently understands the present invention.Therefore, it should be appreciated by the person skilled in the art that providing of the invention
Being described below for exemplary embodiment is for illustrative purposes only, rather than this hair that limitation is defined by the claims and their equivalents
Bright purpose.
Fig. 1 is the flow chart for showing a kind of prediction technique of wind power generating set wind speed of embodiment according to the present invention.
As shown in Figure 1, firstly, in step S100, measuring wind speed time and the wind power generating set of laser radar are calculated
The time difference of the measuring wind speed time of another wind measuring device.Specifically, the annual mean wind speed data of wind power plant are first obtainedWith swash
The survey wind distance d of optical radar, then the annual mean wind speed data to acquisitionIt is calculated with measurement distance d to obtain the time differenceWherein, annual mean wind speed dataShow that it is sharp for surveying wind distance d by the data of the anemometer tower acquisition in wind power plant
Optical radar measures the distance at the hub centre position of the positional distance wind power generating set of wind speed.Implementation according to the present invention
Example, laser radar are mounted in the cabin of wind power generating set, and wind measuring device is the wind being mounted on wind generating set engine room
Fast instrument and/or be mounted on apart from a certain range of ground laser radar of wind power generating set, it is specific as shown in Figures 2 and 3.
In Fig. 2, wind measuring device is the anemobiagraph 2 being mounted on wind generating set engine room, the installation site and laser thunder of anemobiagraph 2
Installation site up to 1 is close, survey wind distance d be laser radar 1 measure wind speed 3 position of positional distance hub centre at away from
From, wherein the position of lidar measurement wind speed is the position that the laser beam 4 that laser radar issues is covered.Due to laser
The installation site of radar 1 and the installation site of anemobiagraph 2 are close, but the wind speed that laser radar 1 measures is in front of its installation site
Wind speed at a certain distance (usually 60m-120m), therefore, the wind that the wind speed and laser radar 1 that anemobiagraph 2 measures measure
There are postponing on certain time, and when the wind speed that measures of laser radar 1 reaches the measurement position of anemobiagraph 2, wind speed can also be sent out speed
Changing.In Fig. 3, wind measuring device is to be mounted on apart from a certain range of ground laser radar 5 of wind power generating set, laser
Radar 1 is mounted in the cabin of wind power generating set, and ground laser radar 5 is mounted on apart from wind power generating set certain distance
Ground on.Ground laser radar can be divided into short distance measurement and two kinds of telemeasurement, and the range of general short distance measurement is
10m~250m, the range of telemeasurement are 0.1km~6km.The wind speed that laser radar 1 measures is apart from wind power generating set
The wind speed at the position wind distance d is surveyed, the wind speed that ground laser radar 5 measures is that the wind speed that laser radar 1 measures reaches in wheel hub
Wind speed when at the heart, therefore, there is also the delays on certain time for the wind speed of the two measurement, and the wind speed measured is also become
Change.Here, existing time delay between the wind speed and the wind speed that measures of laser radar 1 of wind measuring device measurement is defined as the time
Difference.Since the prediction of the wind speed to wind power generating set is carried out in advance to the wind speed of the hub centre of wind power generating set in fact
It surveys, is approximately the wind speed of hub centre by the wind speed that wind measuring device measures, therefore, the time difference is exactly lidar measurement here
Wind speed reach wind power generating set hub centre position at time.
According to an embodiment of the invention, assuming that wind measuring device is anemobiagraph, to 2017 of the anemometer tower acquisition in wind power plant A
The air speed data in year is analyzed, and can show that wind power plant A was in annual mean wind speed data in 2017And swash
The measurement distance d of optical radar is 60m, i.e. survey wind distance d=60m, then can show that the time difference of forecasting wind speed is Δ t=6s.Example
Such as, the wind speed at the 1st second moment of lidar measurement, the measurement position of anemobiagraph can be reached by 6 seconds, then, with laser thunder
Up to the 1st second moment of measurement wind speed Corresponding matching be anemobiagraph measurement the 7th second moment wind speed, still, wind speed at this time
The wind speed at the 7th second moment of instrument measurement may have occurred and that variation.Here, seeking time difference Δ t can be assumed based on frost turbulent flow
To be calculated, wherein frost turbulent flow is assumed to be Taylor it is assumed that referring in the case where meeting certain conditions, when turbulent flow flows through
When sensor, it will be assumed that think turbulent flow be it is frozen, be meant that a spatially fixed point unites to the observed result of turbulent flow
It is equal on meter while section is along the observation of average wind director space each point, also referred to as sizing turbulent flow is assumed.It should be understood that it is above-mentioned for
The citing of mean wind speed data and measurement distance is only illustrative examples, the adoptable mean wind speed data of the present invention and measurement away from
From without being limited thereto.
In step S200, first time data point storehouse is carried out to the air speed data of lidar measurement and is handled, and according to the time
Difference seeks the wind measuring device measurement of the air speed data Corresponding matching of each data bins handled with first time data point storehouse
Air speed data.Specifically, first time data first are carried out according to air speed data of the scheduled wind speed section to lidar measurement and divides storehouse
Processing, to obtain multiple laser radar air speed datas storehouse.Then, any one time in the reselection time difference is pre- as wind speed
Survey the time, and according to forecasting wind speed time t obtain respectively with air speed data corresponding in multiple laser radar air speed datas storehouse
The air speed data for the wind measuring device measurement matched.Wherein, data point storehouse processing is divided air speed data according to scheduled wind speed section
Storehouse, here, scheduled wind speed section are segmented according to the integer value of wind speed, and the error of wind speed section may be provided at ± 0.5m/s.
For example, it is from 5.5m/s~6.5m/s that wind speed section, which is the value of the air speed data in the data bins of 6m/s, in scheduled wind speed section.
It should be understood that the citing of the above-mentioned error for wind speed section is only illustrative examples, the error of the adoptable wind speed section of the present invention is not
It is limited to this.
According to the example above, it is assumed that the air speed data of the lidar measurement of in June, 2017 acquisition has 5000, carries out the
Obtain 8 data bins after the processing of data point storehouse, be respectively wind speed section be 1m/s data bins 1, wind speed section be 2m/s number
Data bins 5 that data bins 4 that the data bins 3 for being 3m/s according to storehouse 2, wind speed section, wind speed section are 4m/s, wind speed section are 5m/s, wind speed
Section be 6m/s data bins 6, wind speed section be 7m/s data bins 7 and wind speed section be 8m/s data bins 8.Wherein, the is being carried out
When one time data point storehouse is handled, the air speed data of the lidar measurement less than 0.5m/s is integrally abandoned, without data point
Storehouse processing.According to the time difference Δ t=6s for obtaining forecasting wind speed in step S100, then, it can arbitrarily select one between 0~6s
A time is as the forecasting wind speed time, for example, selecting the forecasting wind speed time for 3 seconds, 5 seconds or 6 seconds etc..Assuming that the wind speed of selection
Predicted time is 6 seconds, then is obtained according to the result that first time data point storehouse is handled and surveyed respectively with the laser radar in 8 data bins
The air speed data of the corresponding matched anemobiagraph measurement of the air speed data of amount.By taking data bins 6 as an example, it is assumed that have 800 in data bins 6
The air speed data of a lidar measurement, then the air speed data value range of 800 lidar measurements all 5.5m/s~
Between 6.5m/s, and time of measuring is respectively the 1st second, the 5th second ..., n-th second etc..So, with 800 laser in data bins 6
The air speed data of the corresponding matched anemobiagraph measurement of the air speed data of radar surveying is the 7th second respectively, the 11st second ..., N+6
The air speed data of 800 anemobiagraphs measurement at the moment such as second.Equally, other seven data bins are also sought respectively obtaining corresponding
The air speed data for the anemobiagraph measurement matched, the air speed data of total anemobiagraph measurement for obtaining 5000 Corresponding matchings.It should be understood that
The above-mentioned citing for the forecasting wind speed time is only illustrative examples, and the present invention adoptable forecasting wind speed time is without being limited thereto.
In step S300, second of data point storehouse is carried out to the air speed data of the wind measuring device measurement obtained and is handled, and according to
Forecasting wind speed is carried out according to the result that second of data divides storehouse to handle.Specifically, first respectively to obtaining with multiple laser radar wind
The air speed data of the wind measuring device measurement of air speed data Corresponding matching in fast data bins carries out second of data point storehouse and handles, with
Obtain multiple wind measuring device air speed datas storehouse.Then, then to the air speed data in multiple wind measuring device air speed datas storehouse divide
Analysis, obtains the largest number of wind measuring device air speed datas of air speed data storehouse, and by wind speed where the wind measuring device air speed data storehouse
The wind speed of section is as prediction of wind speed.According to the example above, the air speed data of the anemobiagraph measurement still obtained with data bins 6 is carried out
Analysis, since wind speed is likely to occur variation after 6 seconds, so, the value of the air speed data of obtained 800 anemobiagraphs measurement
Range is not necessarily between 5.5m/s~6.5m/s, at this point, carrying out second to the air speed data of obtained 800 anemobiagraphs measurement
Secondary data point storehouse is handled.Assuming that obtaining 5 after carrying out second of data point storehouse processing to the air speed data of 800 anemobiagraph measurements
Data bins, be respectively wind speed section be 4m/s data bins 1, wind speed section be 5m/s data bins 2, wind speed section be 7m/s data bins
3, the data bins 5 that the data bins 4 and wind speed section that wind speed section is 9m/s are 10m/s.5 obtained data bins are analyzed, are looked for
The largest number of data bins of the air speed data for the anemobiagraph measurement for including in data bins out.Such as the anemobiagraph in data bins 3
The number of the air speed data of measurement is most, contains 200 air speed datas, then makees the wind speed of the wind speed section where data bins 3
For the prediction of wind speed of wind power generating set, i.e. prediction of wind speed is 7m/s.
In step S400, the wind speed of the wind power generating set in different time sections is predicted, and seeks different time
The probability distribution value of prediction of wind speed in section.Specifically, when seeking the prediction of wind speed of the wind power generating set in different time sections,
Data update is carried out to the air speed data that data divide storehouse to handle, and the updated air speed data of data is analyzed, to obtain
Newest prediction of wind speed and probability distribution value.Wherein, the air speed data number of data bins where probability distribution value refers to prediction of wind speed
The ratio of total air speed data number is accounted for, data update when being the air speed data for handling the data point storehouse in the period and is previous
Between the air speed data of data point storehouse processing in section merge.It is that 7m/s can by the prediction of wind speed obtained according to the example above
Know, include in data bins 3 200 anemobiagraphs measurement air speed data, and in data bins 6 anemobiagraph measure air speed data
Sum be 800, therefore, obtain probability distribution value be 0.25, i.e., prediction of wind speed be 7m/s a possibility that be 25%.Equally,
Other seven data bins that first time data point storehouse in step S200 is handled also are sought obtaining with the wind of Corresponding matching respectively
The air speed data of fast instrument measurement, and carry out second of data point storehouse and handle, analysis obtains prediction of wind speed and corresponding probability distribution
Value.
Fig. 4 is the block diagram for showing a kind of prediction meanss of wind power generating set wind speed of embodiment according to the present invention.
As shown in figure 4, the prediction meanss 400 of wind power generating set wind speed may include the time difference obtaining module 401, wind speed number
According to matching module 402, forecasting wind speed module 403 and probability distribution value computing module 404.According to an embodiment of the invention, wind-force
The prediction meanss 400 of generating set wind speed can be by various computing devices (for example, computer, server, work station etc.) come real
Existing, the prediction meanss 400 of wind power generating set wind speed are arranged in the master controller of wind-driven generator.Specifically, the time difference is obtained
Modulus block 401 is configured as calculating the wind speed of another wind measuring device of the measuring wind speed time of laser radar and wind power generating set
The time difference of time of measuring.Wherein, laser radar is mounted in the cabin of wind power generating set, and wind measuring device is to be mounted on wind-force
It anemobiagraph in generating set cabin and/or is mounted on apart from a certain range of ground laser radar of wind power generating set.Wind
Fast data match module 402 is configured as the air speed data progress first time data point storehouse to lidar measurement and handles, and according to
The wind measuring device of the air speed data Corresponding matching for each data bins for seeking handling with first time data point storehouse according to the time difference
The air speed data of measurement.Forecasting wind speed module 403 is configured as carrying out second to the air speed data of the wind measuring device measurement obtained
Secondary data point storehouse is handled, and the result for dividing storehouse to handle according to second of data carries out forecasting wind speed.Probability distribution value computing module
404 are configured as predicting the wind speed of the wind power generating set in different time sections, and seek pre- in different time sections
Survey the probability distribution value of wind speed, wherein the air speed data number of data bins accounts for total wind where probability distribution value refers to prediction of wind speed
The ratio of fast data amount check.Time difference obtains the annual mean wind speed data that module 401 obtains wind power plantWith the survey of laser radar
Span is from d, then to the annual mean wind speed data of acquisitionIt is calculated with measurement distance d to obtain time difference Δ t.Wherein, year
Mean wind speed dataShow that surveying wind distance d is lidar measurement wind speed by the data of the anemometer tower acquisition in wind power plant
Distance at the hub centre position of positional distance wind power generating set.
Air speed data matching module 402 obtains the time difference Δ t and laser thunder that module 401 is calculated according to the time difference
Up to the air speed data of acquisition measurement, the air speed data of the wind measuring device measurement of Corresponding matching is obtained.Specifically, air speed data matches
Module 402 carries out first time data point storehouse according to air speed data of the scheduled wind speed section to lidar measurement and handles, and to
The air speed data Corresponding matching in multiple laser radar air speed datas storehouse obtains the air speed data of wind measuring device measurement out.Below will
Air speed data matching module 402 according to an embodiment of the present invention is described in detail referring to Fig. 5.
Fig. 5 is the block diagram for showing the air speed data matching module of embodiment according to the present invention.
As shown in figure 5, air speed data matching module 402 includes that first time data divide storehouse processing unit 501 and matching unit
502.Wherein, first time data divide storehouse processing unit 501 according to scheduled wind speed section to the air speed data of lidar measurement into
Row first time data point storehouse is handled, to obtain multiple laser radar air speed datas storehouse.Matching unit 502 selects appointing in the time difference
A time anticipate as the forecasting wind speed time, and according to the forecasting wind speed time obtain respectively with multiple laser radar air speed datas storehouse
In air speed data Corresponding matching wind measuring device measurement air speed data.Specifically, first time data divide storehouse processing unit 501
It carries out data point storehouse according to air speed data of the scheduled wind speed section to lidar measurement to handle, to obtain multiple laser radar wind
Fast data bins.Wherein, scheduled wind speed section is segmented according to the integer value of wind speed, the error of wind speed section may be provided at ±
0.5m/s.For example, during data divide storehouse, can will be less than 0.5m/s's when the error of wind speed section is arranged in ± 0.5m/s
The air speed data of lidar measurement is ignored.When matching unit 502 selects any one according to the time difference being calculated
Between time in difference as the forecasting wind speed time, it is assumed that the time difference is Δ t=5s, then can arbitrarily select any between 0~5s
One time, such as 3s or 5s is as the forecasting wind speed time.It should be understood that the above-mentioned act for time difference and forecasting wind speed time
Example is only illustrative examples, and the present invention adoptable time difference and forecasting wind speed time are without being limited thereto.Then, matching unit 502
The air speed data of air speed data and wind measuring device measurement in multiple laser radar air speed datas storehouse is subjected to Corresponding matching respectively,
To obtain the air speed data of wind measuring device measurement corresponding with the air speed data in each laser radar air speed data storehouse.
Return to Fig. 4, wind of the forecasting wind speed module 403 to the wind measuring device measurement obtained in air speed data matching module 402
Fast data carry out second of data point storehouse and handle, and the result for dividing storehouse to handle according to second of data carries out forecasting wind speed.Below
Forecasting wind speed module 403 according to an embodiment of the present invention will be described in detail referring to Fig. 6.
Fig. 6 is the block diagram for showing the forecasting wind speed module 403 of embodiment according to the present invention.
As shown in fig. 6, forecasting wind speed module 403 includes that second of data divides storehouse processing unit 601 and forecasting wind speed unit
602.Wherein, second of data point storehouse processing unit 601 is respectively to obtaining and wind in multiple laser radar air speed datas storehouse
The air speed data of the wind measuring device measurement of fast data Corresponding matching carries out second of data point storehouse and handles, to obtain multiple survey wind dresses
Set air speed data storehouse.Forecasting wind speed unit 602 analyzes the air speed data in multiple wind measuring device air speed datas storehouse, obtains
The largest number of wind measuring device air speed datas of air speed data storehouse, and by the wind speed of wind speed section where the wind measuring device air speed data storehouse
As prediction of wind speed.Specifically, second of data divides storehouse processing unit 601 to carry out second to the air speed data that wind measuring device measures
After secondary data divide storehouse to handle, forecasting wind speed unit 602 analyzes the air speed data in multiple wind measuring device air speed datas storehouse,
Obtain the largest number of wind measuring device air speed datas of air speed data storehouse, and by wind speed section where the wind measuring device air speed data storehouse
Wind speed is as prediction of wind speed.For example, obtain 7 wind measuring device air speed data storehouses after the processing of second data point storehouse, respectively to this 7
Air speed data number in a wind measuring device air speed data storehouse is analyzed, and the largest number of wind measuring device air speed datas storehouse is obtained
For wind measuring device air speed data storehouse 2.For example, the value range of the air speed data in wind measuring device air speed data storehouse 2 is 6.5m/s
~7.5m/s, wind speed section are 7m/s wind speed section, then, prediction of wind speed is the wind speed 7m/s of wind speed section.It should be understood that it is above-mentioned for
The citing of data bins and wind speed section is only illustrative examples, and the adoptable data bins of the present invention and wind speed section are without being limited thereto.
Fig. 4 is returned to, probability distribution value computing unit 404 is calculated according to the prediction of wind speed that forecasting wind speed module 403 obtains
The probability distribution value of prediction of wind speed, wherein the air speed data number of data bins accounts for always where probability distribution value refers to prediction of wind speed
The ratio of air speed data number.Specifically, probability distribution value computing unit 404 is to the wind power generating set in different time sections
Wind speed is predicted, and seeks the probability distribution value of the prediction of wind speed in different time sections.Seeking the wind in different time sections
When the prediction of wind speed of power generator group, data update is carried out to the air speed data that data divide storehouse to handle, and updated to data
Air speed data is analyzed, to obtain newest prediction of wind speed and probability distribution value, wherein data update will be in the period
The air speed data of data point storehouse processing in the air speed data and previous time period of the processing of data point storehouse merges.
The prediction technique and device of a kind of wind power generating set wind speed of embodiment according to the present invention can be based on laser
The wind speed of wind power generating set is predicted in radar and the realization of another wind measuring device, and can seek the general of the wind speed predicted online
Rate Distribution Value realizes the online evaluation of the confidence level to the prediction of wind speed of wind power generating set.
It is may be recorded according to the method for the present invention including executing by the program instruction of computer implemented various operations
In computer-readable medium.Medium can also only include program instruction or include the data file combined with program instruction,
Data structure etc..The example of computer-readable medium includes magnetic medium (such as hard disk, floppy disk and tape)；Optical medium (such as
CD-ROM and DVD)；Magnet-optical medium (for example, CD)；And especially it is formulated for the hardware prediction for storing and executing program instructions
System (for example, read-only memory (ROM), random access memory (RAM), flash memory etc.).Medium is also possible to include transmission rule
Determine the transmission medium (such as optical line or metal wire, waveguide etc.) of the carrier wave of the signal of program instruction, data structure etc..Program refers to
The example of order includes for example by the machine code of compiler generation and comprising interpreter high-level code performed by computer can be used
File.
Although the present invention, art technology has been shown and described referring to certain exemplary embodiments of the invention
Personnel will be understood that, can be into the case where not departing from the spirit and scope of the present invention being defined by the claims and their equivalents
Various changes on row various forms and details.
Claims (15)
1. a kind of prediction technique of wind power generating set wind speed, which is characterized in that the prediction technique includes：
Calculate laser radar the measuring wind speed time and wind power generating set another wind measuring device the measuring wind speed time when
Between it is poor；
First time data point storehouse is carried out to the air speed data of lidar measurement to handle, and is sought and first according to the time difference
The air speed data of the wind measuring device measurement of the air speed data Corresponding matching for each data bins that secondary data point storehouse is handled；
Second of data point storehouse is carried out to the air speed data of the wind measuring device measurement obtained to handle, and divides storehouse according to second of data
The result of processing carries out forecasting wind speed.
2. prediction technique as described in claim 1, which is characterized in that the laser radar is mounted on the machine of wind power generating set
On cabin, the wind measuring device is the anemobiagraph being mounted on wind generating set engine room and/or is mounted on apart from wind-driven generator
The a certain range of ground laser radar of group.
3. prediction technique as described in claim 1, which is characterized in that the measuring wind speed time for calculating laser radar and wind
The step of time difference of the measuring wind speed time of another wind measuring device of power generator group includes：
Obtain the annual mean wind speed data of wind power plantWith the survey wind distance d of laser radar, wherein the annual mean wind speed dataIt is obtained by the data of the anemometer tower acquisition in wind power plant, it is described to survey the positional distance that wind distance d is lidar measurement wind speed
Distance at the hub centre position of wind power generating set；
To the annual mean wind speed data of acquisitionIt is calculated with measurement distance d to obtain the time difference
4. prediction technique as claimed in claim 3, which is characterized in that the air speed data to lidar measurement carries out the
One time data point storehouse is handled, and the wind for each data bins for seeking handling with first time data point storehouse according to the time difference
Fast data Corresponding matching wind measuring device measurement air speed data the step of include：
First time data point storehouse is carried out according to air speed data of the scheduled wind speed section to lidar measurement to handle, it is multiple to obtain
Laser radar air speed data storehouse；
It selects any one time t in time difference Δ t as the forecasting wind speed time, and goes out to divide according to the forecasting wind speed time
The air speed data not measured with the wind measuring device of the air speed data Corresponding matching in multiple laser radar air speed datas storehouse.
5. prediction technique as claimed in claim 4, which is characterized in that the air speed data of the described pair of wind measuring device measurement obtained
It carries out second of data point storehouse to handle, and the step of result according to second of data point storehouse processing carries out forecasting wind speed includes：
Respectively to the wind measuring device measurement with the air speed data Corresponding matching in multiple laser radar air speed datas storehouse obtained
Air speed data carries out second of data point storehouse and handles, to obtain multiple wind measuring device air speed datas storehouse；
Air speed data in multiple wind measuring device air speed datas storehouse is analyzed, obtains the largest number of survey wind dresses of air speed data
Air speed data storehouse is set, and using the wind speed of wind speed section where the wind measuring device air speed data storehouse as prediction of wind speed.
6. such as any one of prediction technique in claim 1-5, which is characterized in that further include：
The wind speed of wind power generating set in different time sections is predicted, and seeks prediction of wind speed in different time sections
Probability distribution value, wherein the air speed data number of data bins accounts for total wind speed number where the probability distribution value refers to prediction of wind speed
According to the ratio of number.
7. method as claimed in claim 6, which is characterized in that the wind speed to the wind power generating set in different time sections
It is predicted, and the step of seeking the probability distribution value of prediction of wind speed in different time sections includes：
Data update is carried out to the air speed data that data divide storehouse to handle, and the updated air speed data of data is analyzed, with
Obtain newest prediction of wind speed and probability distribution value, wherein it is by the data point storehouse processing in the period that the data, which update,
Air speed data and the air speed data of the data point storehouse processing in previous time period merge.
8. a kind of prediction meanss of wind power generating set wind speed, which is characterized in that the prediction meanss include：
Time difference obtains module, is configured as calculating the measuring wind speed time of laser radar and another survey wind of wind power generating set
The time difference of the measuring wind speed time of device；
Air speed data matching module is configured as the air speed data progress first time data point storehouse to lidar measurement and handles,
And the air speed data Corresponding matching for each data bins for seeking handling with first time data point storehouse according to the time difference
The air speed data of wind measuring device measurement；
Forecasting wind speed module is configured as dividing Cang Chu to second of data of air speed data progress of the wind measuring device measurement obtained
Reason, and the result for dividing storehouse to handle according to second of data carries out forecasting wind speed.
9. prediction meanss as claimed in claim 8, which is characterized in that the laser radar is mounted on the machine of wind power generating set
On cabin, the wind measuring device is the anemobiagraph being mounted on wind generating set engine room and/or is mounted on apart from wind-driven generator
The a certain range of ground laser radar of group.
10. prediction meanss as claimed in claim 9, which is characterized in that the air speed data matching module includes：
First time data divide storehouse processing unit, carry out for the first time according to air speed data of the scheduled wind speed section to lidar measurement
Data point storehouse is handled, to obtain multiple laser radar air speed datas storehouse；
Matching unit selects any one time in the time difference as the forecasting wind speed time, and when according to the forecasting wind speed
Between obtain respectively with the wind measuring device of the air speed data Corresponding matching in multiple laser radar air speed datas storehouse measurement wind speed number
According to.
11. prediction meanss as claimed in claim 10, which is characterized in that the forecasting wind speed module includes：
Second of data divides storehouse processing unit, respectively to obtaining and air speed data pair in multiple laser radar air speed datas storehouse
It answers the air speed data of matched wind measuring device measurement to carry out second of data point storehouse to handle, to obtain multiple wind measuring device wind speed numbers
According to storehouse；
Forecasting wind speed unit analyzes the air speed data in multiple wind measuring device air speed datas storehouse, obtains air speed data
The most wind measuring device air speed data storehouse of number, and using the wind speed of wind speed section where the wind measuring device air speed data storehouse as prediction wind
Speed.
12. such as any one of prediction meanss in claim 9-11, which is characterized in that further include：
Probability distribution value computing module is configured as predicting the wind speed of the wind power generating set in different time sections, and
Seek the probability distribution value of the prediction of wind speed in different time sections, wherein the probability distribution value refers to number where prediction of wind speed
The ratio of total air speed data number is accounted for according to the air speed data number in storehouse.
13. prediction meanss as claimed in claim 12, which is characterized in that the master of wind-driven generator is arranged in the prediction meanss
In controller.
14. a kind of computer readable storage medium, is stored with computer program, which is characterized in that the computer program is located
When managing device operation, the processor perform claim requires prediction technique described in any one of 1-7.
15. a kind of computer equipment, the memory including processor and storage computer program, which is characterized in that the calculating
When machine program is run by processor, the processor perform claim requires prediction technique described in any one of 1-7.
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