CN110020801A - A kind of appraisal procedure that wind power plant is lost by external wake effect - Google Patents
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Abstract
The invention discloses the appraisal procedure that a kind of wind power plant is lost by external wake effect, this method includes obtaining the first anemometer tower wind series data, and the first anemometer tower wind series data are modified and obtain the first free stream wind speed sequence data；The first anemometer tower air speed data is the data that initial stage nearby influences period without other wind power plants after wind power plant puts into operation；It brings the first free stream wind speed sequence data into CFD software, calculates and obtain the theoretical generated energy of the first calculating.The appraisal procedure that wind power plant provided by the present application is lost by external wake effect can be used for assessing wind power plant by other wind power plant wake effects.The data needed are easily obtained, and calculation method is simple and easy to do, by the amendment to anemometer tower wind series, so that the data substituted into CFD software are more accurate, so that assessment result accuracy is higher.
Description
Technical field
The present invention relates to wind power plant Performance Evaluation technical fields, more particularly to a kind of wind for analyzing data again based on meteorology
The appraisal procedure that electric field is lost by external wake effect.
Background technique
Wind is a kind of new energy that potentiality are very big, and 18 beginnings of the century swept away the primary violent strong wind of two countries, Great Britain and France, and wiped out
400 windmills, 800 houses, 100 churches, 400 a plurality of sailing boats, and there are thousands to come to harm, 250,000
The big tree of strain is uprooped.Only in pulling out tree, wind has issued (i.e. 7,500,000 kilowatts of 1,000 Wan Mali within the several seconds；One
Horsepower be equal to 0.75 kilowatt) power！Someone estimated, can be used to the wind resource to generate electricity on the earth there are about 10,000,000,000 kilowatts, several
It is 10 times of present whole world hydroelectric generation amount.Burn coal energy obtained every year in the whole world at present, and only wind-force is one
The one third of provided energy in year.Therefore, all take much count of generating electricity using wind-force both at home and abroad, tap a new source of energy.
Wind power generating set is becoming increasing, and blade also becomes more and more longer, imitates to wind power generating set wake flow
The understanding of characteristic is answered, is just therefore become more and more important.Energy power generation is absorbed from wind for wind power generating set, according to energy
Conservation principle, after blowing air over wind power generating set, energy reduces before centainly comparing.Therefore, wind power generating set is always rear
Face forms wind shadow, i.e. wake flow, after being crossed just as ship, the wake flow that is formed on the water surface.Current large-scale wind electricity base, is building
When often do not fully consider wake effect between wind power plant, wind power plant spacing is close, cause earlier wind power plant by attached
Nearly wind power plant wake effect.
Therefore, how wind power plant is assessed by other wind power plant wake effects, is that there is an urgent need to art technologies
The technical issues of personnel solve.
Summary of the invention
The present invention provides the appraisal procedures that a kind of wind power plant is lost by external wake effect.
The present invention provides following schemes:
A kind of appraisal procedure that wind power plant is lost by external wake effect includes:
The first anemometer tower wind series data are obtained, the first anemometer tower wind series data are modified acquisition
One free stream wind speed sequence data；Initial stage is nearby without other wind after the first anemometer tower air speed data puts into operation for wind power plant
The data in electric field influence period；
It brings the first free stream wind speed sequence data into CFD software, calculates and obtain the theoretical generated energy of the first calculating；It obtains
The first wind power plant actual power generation and first-loss electricity are taken, by the first wind power plant actual power generation and first-loss
Electricity summation obtains the first practical theoretical power generation；
It calculates acquisition CFD software error and is reduced F, the practical theoretical power generation ÷ first of F=1- first calculates theoretical generated energy；
The second anemometer tower wind series data are obtained, the second anemometer tower wind series data are modified acquisition
Two free stream wind speed sequence datas；The second anemometer tower air speed data is that wind power plant is nearby influenced period by other wind power plants
Data；
It brings the second free stream wind speed sequence data into CFD software, calculates and obtain the theoretical generated energy of the second calculating；It obtains
The second wind power plant actual power generation and the second loss electricity are taken, the second wind power plant actual power generation and second are lost
Electricity summation obtains the second practical theoretical power generation；
It calculates to obtain and loses electricity Q, Q=second calculates the practical theoretical power generation of theoretical generated energy * (1-F)-the second.
It is preferred: the first anemometer tower wind series data being modified and obtain the first free stream wind speed sequence number
According to；Modification method includes:
First free stream wind speed sequence data=first anemometer tower wind series data the first anemometer tower of ÷ mean wind speed ×
First free flow mean wind speed；
In formula: the first free flow mean wind speed is to analyze wind series data and third survey wind again by third meteorology
The correlativity formula of tower wind series data, which calculates, to be obtained, and the third meteorology analyzes wind series data again and the third is surveyed
Wind tower wind series data are Construction of Wind Power Primary Stage Data.
Preferred: the correlativity formula is by analyzing wind series data and third survey wind again to the third meteorology
Tower wind series data calculate the y=ax+b obtained using linear regression method, in formula: y is that meteorology analyzes wind series number again
According to x is anemometer tower wind series data, and a, b are incidence coefficient.
It is preferred: to calculate meteorological the first meteorological wind speed of analyzing again for analyzing wind series data again of acquisition described first and be averaged
Data, using the described first meteorological wind speed average data of analyzing again as calculating acquisition x numerical value in y substitution y=ax+b as first
Free flow mean wind speed.
Preferred: the first-loss electricity is by the wind power plant moon sheet, year report, acquisition plan, unplanned stops
Machine loss electricity rations the power supply and loses electricity, comprehensive field power consumption rate, passes through the power for the blower that power of fan curve test is reported
Curve loses electricity.
The specific embodiment provided according to the present invention, the invention discloses following technical effects:
By the invention it is possible to a kind of appraisal procedure that wind power plant is lost by external wake effect be realized, in a kind of realization
Under mode, this method may include obtaining the first anemometer tower wind series data, by the first anemometer tower wind series data
It is modified and obtains the first free stream wind speed sequence data；The first anemometer tower air speed data is first after wind power plant puts into operation
Phase nearby influences the data in period without other wind power plants；It brings the first free stream wind speed sequence data into CFD software, calculates
It obtains first and calculates theoretical generated energy；The first wind power plant actual power generation and first-loss electricity are obtained, by first wind
Electric field actual power generation and the summation of first-loss electricity obtain the first practical theoretical power generation；It calculates and obtains CFD software error
It is reduced F, the practical theoretical power generation ÷ first of F=1- first calculates theoretical generated energy；The second anemometer tower wind series data are obtained,
The second anemometer tower wind series data are modified and obtain the second free stream wind speed sequence data；Second anemometer tower
Air speed data is the data that wind power plant is nearby influenced period by other wind power plants；By the second free stream wind speed sequence data
It brings CFD software into, calculates and obtain the theoretical generated energy of the second calculating；Obtain the second wind power plant actual power generation and the second loss electricity
The second wind power plant actual power generation and the second loss electricity summation are obtained the second practical theoretical power generation by amount；It calculates
It obtains loss electricity Q, Q=second and calculates the practical theoretical power generation of theoretical generated energy * (1-F)-the second.Wind-powered electricity generation provided by the present application
The appraisal procedure that field is lost by external wake effect, can be used for assessing wind power plant by other wind power plant wake effects.It needs
Data be easily obtained, calculation method is simple and easy to do, by the amendment to anemometer tower wind series, so that substituting into CFD software
Data it is more accurate so that assessment result accuracy is higher.
Certainly, it implements any of the products of the present invention and does not necessarily require achieving all the advantages described above at the same time.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is that the third meteorology of certain wind power plant provided in an embodiment of the present invention analyzes wind series data again and third surveys wind
Tower wind series data linear graph；
Fig. 2 is that the linear regression method of certain wind power plant provided in an embodiment of the present invention calculates linear graph.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art's every other embodiment obtained belong to what the present invention protected
Range.
Embodiment
The embodiment of the invention provides the appraisal procedures that a kind of wind power plant is lost by external wake effect, this method comprises:
S101: the first anemometer tower wind series data are obtained, the first anemometer tower wind series data are modified
Obtain the first free stream wind speed sequence data；Nothing near initial stage after the first anemometer tower air speed data puts into operation for wind power plant
The data in other wind power plants influence period；
Specifically, modification method includes:
First free stream wind speed sequence data=first anemometer tower wind series data the first anemometer tower of ÷ mean wind speed ×
First free flow mean wind speed；
In formula: the first free flow mean wind speed is to analyze wind series data and third survey wind again by third meteorology
The correlativity formula of tower wind series data, which calculates, to be obtained, and the third meteorology analyzes wind series data again and the third is surveyed
Wind tower wind series data are Construction of Wind Power Primary Stage Data.
The correlativity formula is by analyzing wind series data and third anemometer tower wind speed again to the third meteorology
Sequence data calculates the y=ax+b obtained using linear regression method, in formula: y is that meteorology analyzes wind series data again, and x is
Anemometer tower wind series data, a, b are incidence coefficient.
It calculates meteorological the first meteorology for analyzing wind series data again of acquisition described first and analyzes wind speed average data again, it will
First meteorology analyzes wind speed average data as calculating in y substitution y=ax+b again and obtains x numerical value as the first free levelling
Equal wind speed.
S102: bringing the first free stream wind speed sequence data into CFD software, calculates and obtains the power generation of the first computational theory
Amount；The first wind power plant actual power generation and first-loss electricity are obtained, by the first wind power plant actual power generation and
One loss electricity summation obtains the first practical theoretical power generation；The first-loss electricity is to pass through the wind power plant moon sheet, year
Report, non-programmed halt loss electricity, rations the power supply and loses electricity, comprehensive field power consumption rate at acquisition plan, is surveyed by power of fan curve
The power curve loss electricity for the blower that examination report obtains.
S103: it calculates and obtains CFD software error reduction F, practical the first computational theory of theoretical power generation ÷ of F=1- first hair
Electricity.
S104: the second anemometer tower wind series data are obtained, the second anemometer tower wind series data are modified
Obtain the second free stream wind speed sequence data；The second anemometer tower air speed data is wind power plant nearby by other wind power plant shadows
Ring the data in period.Modification method is similar to direction is corrected in S101, repeats no more again.
S105: bringing the second free stream wind speed sequence data into CFD software, calculates and obtains the power generation of the second computational theory
Amount；The second wind power plant actual power generation and the second loss electricity are obtained, by the second wind power plant actual power generation and the
Two loss electricity summations obtain the second practical theoretical power generation.
S106: calculating and obtain loss electricity Q, and Q=second calculates the practical theoretical power generation of theoretical generated energy * (1-F)-the second
Amount.
The appraisal procedure that wind power plant provided by the present application is lost by external wake effect, can be used for assessing wind power plant by
Other wind power plant wake effects.The data needed are easily obtained, and calculation method is simple and easy to do, by anemometer tower wind series
Amendment, so that the data substituted into CFD software are more accurate, so that assessment result accuracy is higher.
Below by being described in detail for certain wind power plant.
Step 1: obtaining wind power plant early period (wind power plant planning and designing, do not build also) anemometer tower air speed data, obtain the same period
Meteorology analyzes air speed data again.Monthly average evidence can generally be taken.As shown in Figure 1, taking in this example 2010, anemometer tower wind speed is flat
Equal 5.93m/s, then analyze data and be averaged 5.87m/s.
Step 2: as shown in Fig. 2, meteorology is calculated by linear regression method analyzes air speed data and anemometer tower wind again
The correlativity of fast data, obtained form: y=ax+b, wherein a=1.1601, b=-1.0126.
Step 3: obtaining the meteorology that initial stage nearby influences period without other wind power plants after wind power plant puts into operation and analyze wind again
Fast data take wind speed 5.67m/s in 2012 in this example.
Step 4: by correlativity obtained in step 2 (y=1.1601x-1.0126), being calculated without other wind fields
The anemometer tower free stream wind speed data in influence period, obtaining free stream wind speed should be 5.76m/s.
Step 5: obtaining free stream wind speed in step 4, need anemometer tower data correction to free stream wind speed (due to surveying wind
Tower itself is also by itself wake effect, so being also required to reduction free stream wind speed), the method used is: anemometer tower wind speed Vi
÷ anemometer tower mean wind speed Vave × free stream wind speed.It is 5.3m/s that anemometer tower wind speed in 2012 is taken in this example, by anemometer tower wind
Fast sequence ÷ anemometer tower mean wind speed 5.3, × free stream wind speed 5.76 obtain free stream wind speed sequence.
Step 6: bringing the anemometer tower free stream wind speed sequence data obtained in step 5 amendment into CFD software, be calculated
It is 2300 hours that wind power plant, which calculates theoretical generated energy, is named as the first calculating theory generated energy.
Step 7: electricity, loss of rationing the power supply are lost by the wind power plant moon sheet, year report, acquisition plan, non-programmed halt
Electricity, comprehensive field power consumption rate etc. lose electricity by the power curve that power of fan curve test reports to obtain blower.It will be practical
Generated energy is named as the in addition obtain the practical theoretical capacity for not influenced period by other wind fields after the above various loss electricity
One practical theoretical capacity.
Actual power generation 1800 hours, in addition various losses 250 hours, practical theoretical capacity is 2050 hours.
Step 8:F=(the practical theoretical capacity ÷ first of 1- first calculates theoretical generated energy) obtains CFD software error folding
Subtract.F=1-2050 hours ÷ 2300 hours=11%
Step 9: acquisition wind power plant is nearby influenced period by other wind power plants, and (wind power plant has nearby built up other wind-powered electricity generations
, wake effect of the wind power plant by other wind power plants of surrounding) anemometer tower air speed data, obtain same period meteorology analyze wind again
Fast data.
Wind speed in 2014 is taken in example, obtaining anemometer tower wind series in 2014 is 4.67m/s, and the meteorology of the same period is analyzed again
Wind speed is 5.47m/s.
Step 10: being corrected, obtained by other wind power plant shadows by the correlativity (y=1.1601x-1.0126) in 2
The anemometer tower free stream wind speed data in period are rung, obtaining free stream wind speed should be 5.59m/s.
Step 11: free stream wind speed is obtained in step 10, by anemometer tower data correction to free stream wind speed, the method that uses
It is: anemometer tower wind speed Vi ÷ anemometer tower mean wind speed Vave × free stream wind speed.
It is 4.67m/s that anemometer tower wind speed in 2014 is taken in this example, by anemometer tower wind series ÷ anemometer tower mean wind speed
4.67, then × free stream wind speed 5.59, obtain free stream wind speed sequence.
Step 12: bringing anemometer tower free stream wind speed sequence data into CFD software, wind power plant computational theory hair is calculated
Electricity 2200 is named as the second calculating theory generated energy.
Step 13: electricity, loss of rationing the power supply are lost by the wind power plant moon sheet, year report, acquisition plan, non-programmed halt
Electricity, comprehensive field power consumption rate etc. lose electricity by the power curve that power of fan curve test reports to obtain blower.It will be practical
Generated energy, in addition obtaining the practical theoretical capacity for being influenced period by other wind power plants after the above various loss electricity, being named as
Second practical theoretical capacity.
In example, wind power plant actual power generation 1500 hours in 2014, in addition various losses 200 hours, practical theoretical electricity
Amount is 1700 hours.
Step 14:Q=second calculates the practical theoretical hair of theoretical generated energy * (the CFD software error in 1- step 8)-the second
Electricity has just obtained loss electricity of the wind power plant by other wind power plant wake effects.
Q=2200 hours × (1-11%) -1700 hours=258 hours, as wind power plant is by external wind field wake flow shadow
Loud loss hourage.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent replacement, improvement and so within the spirit and principles in the present invention, are all contained in protection scope of the present invention
It is interior.
Claims (5)
1. the appraisal procedure that a kind of wind power plant is lost by external wake effect, which is characterized in that the described method includes:
The first anemometer tower wind series data are obtained, the first anemometer tower wind series data are modified acquisition first certainly
By stream wind series data；Initial stage is nearby without other wind power plants after the first anemometer tower air speed data puts into operation for wind power plant
The data in influence period；
It brings the first free stream wind speed sequence data into CFD software, calculates and obtain the theoretical generated energy of the first calculating；Obtain the
One wind power plant actual power generation and first-loss electricity, by the first wind power plant actual power generation and first-loss electricity
Summation obtains the first practical theoretical power generation；
It calculates acquisition CFD software error and is reduced F, the practical theoretical power generation ÷ first of F=1- first calculates theoretical generated energy；
The second anemometer tower wind series data are obtained, the second anemometer tower wind series data are modified acquisition second certainly
By stream wind series data；The second anemometer tower air speed data is the number that wind power plant is nearby influenced period by other wind power plants
According to；
It brings the second free stream wind speed sequence data into CFD software, calculates and obtain the theoretical generated energy of the second calculating；Obtain the
Two wind power plant actual power generations and the second loss electricity, by the second wind power plant actual power generation and the second loss electricity
Summation obtains the second practical theoretical power generation；
It calculates to obtain and loses electricity Q, Q=second calculates the practical theoretical power generation of theoretical generated energy * (1-F)-the second.
2. the appraisal procedure that wind power plant according to claim 1 is lost by external wake effect, which is characterized in that will be described
First anemometer tower wind series data, which are modified, obtains the first free stream wind speed sequence data；Modification method includes:
First free stream wind speed sequence data=first anemometer tower wind series data ÷ the first anemometer tower mean wind speed × the first
Free flow mean wind speed；
In formula: the first free flow mean wind speed is to analyze wind series data and third anemometer tower wind again by third meteorology
The correlativity formula of fast sequence data, which calculates, to be obtained, and the third meteorology analyzes wind series data and the third anemometer tower again
Wind series data are Construction of Wind Power Primary Stage Data.
3. the appraisal procedure that wind power plant according to claim 2 is lost by external wake effect, which is characterized in that the phase
Closing relational expression is by analyzing wind series data and third anemometer tower wind series data again using line to the third meteorology
Property homing method calculate the y=ax+b obtained, in formula: y is that meteorology analyzes wind series data again, and x is anemometer tower wind series
Data, a, b are incidence coefficient.
4. the appraisal procedure that wind power plant according to claim 3 is lost by external wake effect, which is characterized in that calculating obtains
It obtains the described first meteorological the first meteorology for analyzing wind series data again and analyzes wind speed average data again, again by first meteorology
Wind speed average data is analyzed as calculating in y substitution y=ax+b and obtains x numerical value as the first free flow mean wind speed.
5. the appraisal procedure that wind power plant according to claim 1 is lost by external wake effect, which is characterized in that described
One loss electricity is to lose electricity by the wind power plant moon sheet, year report, acquisition plan, non-programmed halt, ration the power supply and lose electricity
Amount, comprehensive field power consumption rate, the power curve for the blower reported by power of fan curve test lose electricity.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106483646A (en) * | 2015-08-31 | 2017-03-08 | 大塚电子株式会社 | Micro-spectral device |
| CN111091298A (en) * | 2019-12-20 | 2020-05-01 | 华北电力大学 | Wind power plant flow field coupling characteristic evaluation and intelligent grouping method and system |
| CN114417583A (en) * | 2022-01-07 | 2022-04-29 | 华北电力大学 | Method and device for evaluating wake flow speed loss of wind turbine generator and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202196406U (en) * | 2011-06-27 | 2012-04-18 | 内蒙古电力勘测设计院 | Wind farm design expert system |
| CN105335617A (en) * | 2015-11-05 | 2016-02-17 | 北京金风科创风电设备有限公司 | Method and device for evaluating wake effect of wind power plant |
| CN106121913A (en) * | 2016-06-20 | 2016-11-16 | 广东科诺勘测工程有限公司 | A kind of blower fan arrangement method of marine wind electric field |
| US20170335827A1 (en) * | 2016-05-17 | 2017-11-23 | General Electric Company | System and Method for Determining Wind Farm Wake Loss |
-
2019
- 2019-04-08 CN CN201910274492.6A patent/CN110020801B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202196406U (en) * | 2011-06-27 | 2012-04-18 | 内蒙古电力勘测设计院 | Wind farm design expert system |
| CN105335617A (en) * | 2015-11-05 | 2016-02-17 | 北京金风科创风电设备有限公司 | Method and device for evaluating wake effect of wind power plant |
| US20170335827A1 (en) * | 2016-05-17 | 2017-11-23 | General Electric Company | System and Method for Determining Wind Farm Wake Loss |
| CN106121913A (en) * | 2016-06-20 | 2016-11-16 | 广东科诺勘测工程有限公司 | A kind of blower fan arrangement method of marine wind electric field |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106483646A (en) * | 2015-08-31 | 2017-03-08 | 大塚电子株式会社 | Micro-spectral device |
| CN111091298A (en) * | 2019-12-20 | 2020-05-01 | 华北电力大学 | Wind power plant flow field coupling characteristic evaluation and intelligent grouping method and system |
| CN114417583A (en) * | 2022-01-07 | 2022-04-29 | 华北电力大学 | Method and device for evaluating wake flow speed loss of wind turbine generator and storage medium |
| CN114417583B (en) * | 2022-01-07 | 2022-09-16 | 华北电力大学 | Method and device for evaluating wake flow speed loss of wind turbine generator and storage medium |
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