CN106372801A - Wind power field wind region division method and method for selecting wind detection tower position of wind power field wind regions - Google Patents

Wind power field wind region division method and method for selecting wind detection tower position of wind power field wind regions Download PDF

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CN106372801A
CN106372801A CN201610799800.3A CN201610799800A CN106372801A CN 106372801 A CN106372801 A CN 106372801A CN 201610799800 A CN201610799800 A CN 201610799800A CN 106372801 A CN106372801 A CN 106372801A
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wind
anemometer tower
area
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matrix
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CN106372801B (en
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高革命
张庭
方卫民
叶漫红
万江南
孙爱国
冯娅丽
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Jiangxi electric power design institute
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Abstract

The invention discloses a wind power field wind region division method. The wind power field wind region division method comprises steps that 1), the wind power field initial wind detection data is acquired; 2), preliminary analysis on wind power field wind energy resources is carried out; 3), simulation wind detection towers are distributed; 4), the wind detection data of the simulation wind detection towers is acquired; 5), an average annual wind speed matrix of the position of the simulation wind detection towers is calculated; 6), wind region division indexes are primarily acquired; 7), an average annual wind speed amplitude absolute error matrix is calculated; and 8), adjacent simulation wind detection tower wind regions are merged. The invention further discloses a method for selecting the wind detection tower position of the wind power field wind regions. The method is applicable to wind detection on wind power fields under complex mountain terrains in wind power industries home and abroad, strong applicability is realized, and blanks in selecting the wind detection tower quantity at a wind detection stage and distributing the wind detection towers of the wind power fields are filled.

Description

A kind of wind energy turbine set wind limited region dividing method and the selection of this wind energy turbine set wind area anemometer tower position Method
Technical field
The invention belongs to wind energy turbine set wind area's technical field and in particular to a kind of complexity landform wind energy turbine set wind limited region dividing method. The invention still further relates in wind energy turbine set anemometer tower position system of selection.
Background technology
In recent years, people have carried out substantial amounts of work to the measurement of complicated landform wind energy resources with assessment aspect, summarize one A little experiences are it is proposed that some require the constructive suggestions with principle, but still suffer from many deficiencies, for example, lack to wind energy turbine set root Enter sector-style Division according to Classification Index it is impossible to clearly judge the representativeness of anemometer tower installation position it is impossible to clearly determine anemometer tower Quantity, operability is not strong, for the staff lacking experience, often has no way of doing it.
Content of the invention
It is an object of the invention to provide a kind of workable wind energy turbine set wind limited region dividing method, meeting wind energy resources Under the requirement of accuracy that analysis is calculated with wind energy turbine set generated energy, reduce wind-powered electricity generation early stage and survey wind expense, improve the representative of ventilation measuring point Property, the wind regime of whole wind energy turbine set is represented with the wind regime of few anemometer tower of trying one's best.
The invention solves the problems that another question be exactly in the range of assigned error, determine anemometer tower select quantity, really The wind area anemometer tower position selecting method of the optimum position that Ding Gefeng area anemometer tower selects.
The present invention solves above-mentioned technical problem by the following technical programs,
A kind of wind energy turbine set wind limited region dividing method, its step includes,
1) choose wind energy turbine set and initially survey wind data
Generally investigated from wind energy turbine set and survey wind data, such as wind energy turbine set is no generally investigated survey wind, closed on the survey wind number of wind field using wind energy turbine set According to wind energy turbine set high altitude wind energy resource analog data may also be employed；
2) preliminary analyses wind energy turbine set wind energy resources
Initially survey wind data using wind energy turbine set, wind energy turbine set analysis of Wind Energy Resource and figure are carried out using analysis of Wind Energy Resource software Spectrum calculates；
3) arrangement simulation anemometer tower
According to step 2) the wind energy turbine set analysis of Wind Energy Resource that obtains and collection of illustrative plates, primary election is suitable for the Wind turbines machine of this wind energy turbine set Type, simulates the location arrangements of anemometer tower using the location arrangements of Wind turbines, and that is, Wind turbines seat in the plane is also simulation anemometer tower position Put；
4) choose the survey wind data of simulation anemometer tower
Be taken from step 2) wind energy turbine set analysis of Wind Energy Resource and collection of illustrative plates in the simulation of each simulation anemometer tower position survey wind Data；
5) the annual mean wind speed matrix of calculating simulation anemometer tower position
Arrange n seat simulation anemometer tower in wind energy turbine set, by analysis of Wind Energy Resource software, with arbitrary simulation anemometer tower be Represent, simulate wind energy turbine set wind energy resources, calculate the annual mean wind speed at other n-1 seats simulation anemometer towers, then draw a n × n Matrix an×n=(vij), form n row n row annual mean wind speed value；
The s row of matrix represent with s-th simulation anemometer tower simulate other simulation anemometer towers at annual mean wind speed value, square The t row of battle array represent the annual mean wind speed value simulated at t-th simulation anemometer tower with n simulation anemometer tower；
6) primary election intend select wind Division index, primary election annual mean wind speed amplitude absolute error be respectively 0.2m/s, 0.4m/s, 0.6m/s and 0.8m/s, calculates wind area quantity respectively；
7) calculate annual mean wind speed amplitude absolute error matrix
Annual mean wind speed amplitude is the difference of maximum annual mean wind speed value and minimum annual mean wind speed value；
The computational methods of annual mean wind speed amplitude absolute error matrix are: to matrix an×n=(vij) in jth row, m arrange, CalculateObtain and calculate annual mean wind speed amplitude absolute error matrix bn×n=(aij)；In matrix bn×n =(aij) in, if for bk×k=(aij) in each element aijIt is respectively less than or is equal to given annual mean wind speed amplitude definitely to miss Difference, and b(k+1), (k+1)=(aij) at least one element aijMore than given annual mean wind speed amplitude absolute error then it is assumed that This k simulation anemometer tower is located at same wind area, and+No. 1 simulation anemometer tower of kth belongs to Xin Feng area；And make ajj=a(k+1)(k+1), Carry out the differentiation in next wind area with reference to above-mentioned steps；
8) merge adjacent analog anemometer tower wind area:
For given n × n matrix an×n, from the beginning of 2 × 2 matrixes, when 2 × 2 matrix each column simulate the annual of anemometer tower In given range of error, then No. 1 simulation anemometer tower position and No. 2 simulation anemometer tower position belong to same wind to wind speed amplitude Area；
When the annual mean wind speed amplitude that 2 × 2 matrix each column simulate anemometer tower exceeds given range of error, then No. 1 Simulation anemometer tower position and No. 2 simulation anemometer tower position belong to different wind areas, and wherein No. 1 simulation anemometer tower position is single wind Area, and the numerical value merger of the 2nd row the 2nd row is entered the new matrix of next group, this row forms new 2 × 2 with next column (i.e. the 3rd row) Matrix, if 2 × 2 new matrix annual mean wind speed amplitudes judge, in given range of error, to continue judgement 3 × 3 matrix；
If 3 × 3 matrix each column simulate the annual mean wind speed amplitude of anemometer tower in given range of error, the 1st, No. 2 Simulation anemometer tower position and No. 3 simulation anemometer tower position belong to same wind area；
If the annual mean wind speed amplitude that 3 × 3 matrix each column simulate anemometer towers exceeds given range of error, the 1st, No. 2 Simulation anemometer tower position and No. 3 simulation anemometer tower position belong to different wind areas, and the 1st, No. 2 simulation anemometer tower positions are respectively individually Wind area, and the numerical value merger of the 3rd row the 3rd row is entered the new matrix of next group, this row forms new 2 with next column (i.e. the 4th row) × 2 matrixes；
So circulate, calculate and arrange to line n n-th；
This n × n matrix an×nWind area quantity be adjacent analog anemometer tower wind area quantity in the range of assigned error.
As optimization, described step 2) in, when described wind energy turbine set is level terrain, divided from windfarmer wind energy resources Analysis software is carried out wind energy turbine set analysis of Wind Energy Resource and is calculated with collection of illustrative plates；When described wind energy turbine set is non-equilibrium drilling, from wt wind energy money Source analysis software is carried out wind energy turbine set analysis of Wind Energy Resource and is calculated with collection of illustrative plates；
As optimization, in step 8) after, also step 9) merge jump wind area, for step 8) result in adjacent wind area, From the beginning of the 1st Ge Feng area, No. 1 wind area is merged composition Xin Feng area with No. 3 wind area, if the n × n square for new composition Battle array, each column simulates the annual mean wind speed amplitude of anemometer tower in given range of error, then No. 1 wind area and No. 3 wind area belong to In same wind area, can merge；If there have the annual mean wind speed amplitude that string simulates anemometer tower to exceed in n × n matrix to be given Range of error, then No. 1 wind area and No. 3 wind area can not merge；
Again No. 1 wind area is merged composition Xin Feng area with No. 4 wind area, if for l × l matrix of new composition, each column In given range of error, then No. 1 wind area and No. 4 wind area belong to same to the annual mean wind speed amplitude of simulation anemometer tower Wind area, can merge；If there being the annual mean wind speed amplitude that string simulates anemometer tower to exceed given range of error in l × l matrix, Then No. 1 wind area and No. 4 wind area belong to different wind areas it is impossible to merge；
So circulate, until No. 1 wind area merges composition Xin Feng area with No. n-th wind area；
Again No. 2 wind area is merged composition Xin Feng area, repeat the above steps with No. 4 wind area；
So circulate, until-No. 2 wind areas of kth and the wind area of kth wind district's groups Cheng Xin, continue above-mentioned steps, k is adjacent Wind area quantity number；
If jump merges Hou Feng area error amplitude in the range of given error amplitude, accept corresponding jump and merge Mode, if the error that jump merges Hou Feng area exceeds given range of error, does not accept merging mode of jumping accordingly；
Also have step 10) wind energy turbine set wind Division result, given annual mean wind speed amplitude absolute error, combining step 8) and Step 9) merging achievement, analysis select final merging wind area, draw wind energy turbine set wind Division achievement, wind energy turbine set wind area number Amount number deducts the number in the jump wind area adopting for adjacent analog anemometer tower wind area quantity；
As optimization, described step 7) in, replace annual mean wind speed amplitude with annual mean wind speed absolute error matrix absolute Error matrix,
The computational methods of annual mean wind speed absolute error matrix are: to matrix an×n=(vij) in jth row, m arrange, calculate ajm=| vjm-vM surveys|, obtain and calculate annual mean wind speed absolute error matrix cn×n=(aij)；In matrix cn×n=(aij) in, if For ck×k=(aij) in each element aijIt is respectively less than or be equal to given annual mean wind speed absolute error, and c(k+1),(k+1) =(aij) at least one element aijMore than given annual mean wind speed absolute error then it is assumed that this k simulation anemometer tower position In same wind area ,+No. 1 simulation anemometer tower of kth belongs to Xin Feng area；And make ajj=a(k+1)(k+1), carry out with reference to above-mentioned steps The differentiation in next wind area；
In described step 8) -10) in, also use annual mean wind speed absolute error to substitute annual mean wind speed amplitude absolute error.
Present invention additionally comprises a kind of system of selection of wind energy turbine set wind area anemometer tower position, its step includes,
1) calculating simulation annual mean wind speed matrix calculate the meansigma methodss of each Tower for Simulation position annual mean wind speed
For each wind area, all exist with annual mean wind speed institute at each simulation anemometer tower simulation other simulation anemometer tower position Composition y × y matrix, corresponding each column all has meansigma methodss, and this value is referred to as the meansigma methodss of this Tower for Simulation position annual mean wind speed, and handle This value approximately estimated value as the measured value of the annual mean wind speed of this tower position；
2) calculate annual mean wind speed deviation matrix
The meansigma methodss of the annual mean wind speed value annual mean wind speed corresponding with this row of row each in y × y matrix are made difference can Obtain annual mean wind speed deviation y1 × y1 matrix；
3) select anemometer tower position with the meansigma methodss minimum of annual mean wind speed deviation or less than population mean for standard
For y1 × y1 deviation matrix, seek meansigma methodss yi of each element absolute value of every a line, the corresponding simulation of every a line i Anemometer tower i, and calculate population mean y with meansigma methodss yi of all row, select meansigma methodss reckling min (yi) to make in each row Anemometer tower optimum position is set for this wind energy turbine set, less than the row of population mean, anemometer tower better position is set as this wind energy turbine set；
4), after anemometer tower position is selected, wind energy resources achievement error analyses are carried out by analysis of Wind Energy Resource software, with this Anemometer tower is representative, and tower positions all in wind area are carried out with wind energy resources simulation, calculates the annual mean wind speed deviation of each tower position simulation Value.
As optimization, in step 3) after, select to survey with the reckling of annual mean wind speed maximum deviation or smaller for standard Wind tower position, for y1 × y1 deviation matrix, seeks the maximum xi of each element absolute value of every a line, the corresponding simulation of every a line Anemometer tower, and calculate population mean with meansigma methodss xi of all row, select the reckling of maximum in each row as this wind Area anemometer tower optimum position, less than population mean row as this wind area anemometer tower better position；
As optimization, in step 4) before, carry out the selection of anemometer tower optimum position, consider simulation wind energy resources overall Deviation minimum and individual deviation minimum target, i.e. combining step 3) and step 4) achievement, select both overlapping regions for anemometer tower Better position；
As optimization, select universal law according to anemometer tower position, select the position setting in the middle part of wind area to survey as far as possible Wind tower.
Wind Division of the present invention utilizes wind energy turbine set analysis of Wind Energy Resource and preferred arrangement software arrangement simulation anemometer tower, adopts Wind Division index enters sector-style Division to each simulation anemometer tower, and then determines that assigned error scope endogenous wind area quantity is anemometer tower Quantity.The selection of anemometer tower position of the present invention is the selection carrying out anemometer tower optimum position on wind Division performance basis, presses According to anemometer tower better position selection standard, select the optimal anemometer tower position of analysis of Wind Energy Resource accuracy, and provide this position Put the analysis of Wind Energy Resource achievement error to place wind area for the anemometer tower.The inventive method is novel, workable, improves wind-powered electricity generation The representativeness of field anemometer tower, under the requirement meeting the accuracy that analysis of Wind Energy Resource is calculated with wind energy turbine set generated energy, subtracts significantly Lack wind-powered electricity generation early stage and survey wind expense.The method is applied to wind energy turbine set under home and overseas wind-powered electricity generation industry high mountain MODEL OVER COMPLEX TOPOGRAPHY Survey wind, there is the very strong suitability, filled up complicated landform wind energy turbine set and surveyed the method that wind stage anemometer tower quantity selects and arranges The blank in field.
Specific embodiment
With reference to embodiment, the present invention is described in detail.
Embodiment 1
A kind of wind energy turbine set wind limited region dividing method, its step includes,
1) choose wind energy turbine set and initially survey wind data
Generally investigated from wind energy turbine set and survey wind data, such as wind energy turbine set is no generally investigated survey wind, closed on the survey wind number of wind field using wind energy turbine set According to wind energy turbine set high altitude wind energy resource analog data may also be employed；
2) preliminary analyses wind energy turbine set wind energy resources
Initially survey wind data using wind energy turbine set, wind energy turbine set analysis of Wind Energy Resource and figure are carried out using analysis of Wind Energy Resource software Spectrum calculates；When described wind energy turbine set is level terrain, carry out wind energy turbine set wind energy money from windfarmer analysis of Wind Energy Resource software Source analysis and collection of illustrative plates calculate；When described wind energy turbine set is non-equilibrium drilling, carry out wind energy turbine set wind from wt analysis of Wind Energy Resource software Can resource analysis calculate with collection of illustrative plates；
3) arrangement simulation anemometer tower
According to step 2) the wind energy turbine set analysis of Wind Energy Resource that obtains and collection of illustrative plates, primary election is suitable for the Wind turbines machine of this wind energy turbine set Type, simulates the location arrangements of anemometer tower using the location arrangements of Wind turbines, and that is, Wind turbines seat in the plane is also simulation anemometer tower position Put；
4) choose the survey wind data of simulation anemometer tower
Be taken from step 2) wind energy turbine set analysis of Wind Energy Resource and collection of illustrative plates in the simulation of each simulation anemometer tower position survey wind Data；
5) the annual mean wind speed matrix of calculating simulation anemometer tower position
Arrange n seat simulation anemometer tower in wind energy turbine set, by analysis of Wind Energy Resource software, with arbitrary simulation anemometer tower be Represent, simulate wind energy turbine set wind energy resources, calculate the annual mean wind speed at other n-1 seats simulation anemometer towers, then draw a n × n Matrix an×n=(vij), form n row n row annual mean wind speed value；
The s row of matrix represent with s-th simulation anemometer tower simulate other simulation anemometer towers at annual mean wind speed value, square The t row of battle array represent the annual mean wind speed value simulated at t-th simulation anemometer tower with n simulation anemometer tower；
6) primary election is intended selecting wind Division index, and the precision of wind energy turbine set analysis of Wind Energy Resource is higher, and annual mean wind speed amplitude is exhausted Less to error, wind area quantity is more, primary election annual mean wind speed amplitude absolute error be respectively 0.2m/s, 0.4m/s, 0.6m/s and 0.8m/s, calculates wind area quantity respectively；
7) calculate annual mean wind speed amplitude absolute error matrix
Annual mean wind speed amplitude is the difference of maximum annual mean wind speed value and minimum annual mean wind speed value；
The computational methods of annual mean wind speed amplitude absolute error matrix are: to matrix an×n=(vij) in jth row, m arrange, CalculateObtain and calculate annual mean wind speed amplitude absolute error matrix bn×n=(aij)；In matrix bn×n =(aij) in, if for bk×k=(aij) in each element aijIt is respectively less than or is equal to given annual mean wind speed amplitude definitely to miss Difference, and b(k+1), (k+1)=(aij) at least one element aijMore than given annual mean wind speed amplitude absolute error then it is assumed that This k simulation anemometer tower is located at same wind area, and+No. 1 simulation anemometer tower of kth belongs to Xin Feng area；And make ajj=a(k+1)(k+1), Carry out the differentiation in next wind area with reference to above-mentioned steps；
8) merge adjacent analog anemometer tower wind area:
For given n × n matrix an×n, from the beginning of 2 × 2 matrixes, when 2 × 2 matrix each column simulate the annual of anemometer tower In given range of error, then No. 1 simulation anemometer tower position and No. 2 simulation anemometer tower position belong to same wind to wind speed amplitude Area；
When the annual mean wind speed amplitude that 2 × 2 matrix each column simulate anemometer tower exceeds given range of error, then No. 1 Simulation anemometer tower position and No. 2 simulation anemometer tower position belong to different wind areas, and wherein No. 1 simulation anemometer tower position is single wind Area, and the numerical value merger of the 2nd row the 2nd row is entered the new matrix of next group, this row forms new 2 × 2 with next column (i.e. the 3rd row) Matrix, if 2 × 2 new matrix annual mean wind speed amplitudes judge, in given range of error, to continue judgement 3 × 3 matrix；
If 3 × 3 matrix each column simulate the annual mean wind speed amplitude of anemometer tower in given range of error, the 1st, No. 2 Simulation anemometer tower position and No. 3 simulation anemometer tower position belong to same wind area；
If the annual mean wind speed amplitude that 3 × 3 matrix each column simulate anemometer towers exceeds given range of error, the 1st, No. 2 Simulation anemometer tower position and No. 3 simulation anemometer tower position belong to different wind areas, and the 1st, No. 2 simulation anemometer tower positions are respectively individually Wind area, and the numerical value merger of the 3rd row the 3rd row is entered the new matrix of next group, this row forms new 2 with next column (i.e. the 4th row) × 2 matrixes；
So circulate, calculate and arrange to line n n-th；
This n × n matrix an×nWind area quantity be adjacent analog anemometer tower wind area quantity in the range of assigned error；
Step 9) merge jump wind area, for step 8) result in adjacent wind area, from the beginning of the 1st Ge Feng area, by No. 1 wind Area merges composition Xin Feng area with No. 3 wind area, if for the n × n matrix of new composition, each column simulates the annual wind of anemometer tower In given range of error, then No. 1 wind area and No. 3 wind area belong to same wind area to fast amplitude, can merge；If n × n The annual mean wind speed amplitude that string simulates anemometer tower is had to exceed given range of error, then No. 1 wind area and No. 3 wind in matrix Area can not merge；
Again No. 1 wind area is merged composition Xin Feng area with No. 4 wind area, if for l × l matrix of new composition, each column In given range of error, then No. 1 wind area and No. 4 wind area belong to same to the annual mean wind speed amplitude of simulation anemometer tower Wind area, can merge；If there being the annual mean wind speed amplitude that string simulates anemometer tower to exceed given range of error in l × l matrix, Then No. 1 wind area and No. 4 wind area belong to different wind areas it is impossible to merge；
So circulate, until No. 1 wind area merges composition Xin Feng area with No. n-th wind area；
Again No. 2 wind area is merged composition Xin Feng area, repeat the above steps with No. 4 wind area；
So circulate, until-No. 2 wind areas of kth and the wind area of kth wind district's groups Cheng Xin, continue above-mentioned steps, k is adjacent Wind area quantity number；
If jump merges Hou Feng area error amplitude in the range of given error amplitude, accept corresponding jump and merge Mode, if the error that jump merges Hou Feng area exceeds given range of error, does not accept merging mode of jumping accordingly；
Also have step 10) wind energy turbine set wind Division result, given annual mean wind speed amplitude absolute error, combining step 8) and Step 9) merging achievement, analysis select final merging wind area, draw wind energy turbine set wind Division achievement, wind energy turbine set wind area number Amount number deducts the number in the jump wind area adopting for adjacent analog anemometer tower wind area quantity.
As optimization, described step 7) in, replace annual mean wind speed amplitude with annual mean wind speed absolute error matrix absolute Error matrix,
The computational methods of annual mean wind speed absolute error matrix are: to matrix an×n=(vij) in jth row, m arrange, calculate ajm=| vjm-vM surveys|, obtain and calculate annual mean wind speed absolute error matrix cn×n=(aij)；In matrix cn×n=(aij) in, if For ck×k=(aij) in each element aijIt is respectively less than or be equal to given annual mean wind speed absolute error, and c(k+1),(k+1) =(aij) at least one element aijMore than given annual mean wind speed absolute error then it is assumed that this k simulation anemometer tower position In same wind area ,+No. 1 simulation anemometer tower of kth belongs to Xin Feng area；And make ajj=a(k+1)(k+1), carry out with reference to above-mentioned steps The differentiation in next wind area；
In described step 8) -10) in, also use annual mean wind speed absolute error to substitute annual mean wind speed amplitude absolute error.
Hereinafter the present invention is implemented with merging adjacent analog anemometer tower wind area be described in detail.
A) adjacent seat in the plane merging partitioning step: the step1 under annual mean wind speed amplitude absolute error index method of discrimination:
If (aij) less than or equal to given error 2 α, then No. 1 wind area and No. 2 wind areas belong to same wind area；step2:
If (aij) being less than or equal to given error 2 α, then 1,2 and No. 3 wind areas belong to same wind area；
If (aij) being more than given error 2 α, then 1, No. 2 wind areas belong to same wind area, and No. 3 is the beginnings in fresh air area；
step3:
If (aij) less than or equal to given error 2 α, then No. 3 wind areas and No. 4 wind areas belong to same wind area；step4:
If (aij) being less than or equal to given error 2 α, then 3,4 and No. 5 wind areas belong to same wind area；；
step(k):
If (aij) less than or equal to given error 2 α, then s ..., n wind area belong to same wind area.
B) the adjacent seat in the plane merging wind area step under annual mean wind speed absolute error index method of discrimination:
step1:
If (aij) less than or equal to given error alpha, then No. 1 blower fan and No. 2 wind areas belong to same wind area；
step2:
If (aij) being less than or equal to given error alpha, then 1,2 and No. 3 wind areas belong to same wind area；
If (aij) being more than given error alpha, then 1, No. 2 wind areas belong to same wind area, and No. 3 wind areas are fresh air
The beginning in area；
step3:
If (aij) less than or equal to given error alpha, then No. 3 wind areas and No. 4 wind areas belong to same wind area；
step4:
If (aij) being less than or equal to given error alpha, then 3,4 and No. 5 wind areas belong to same wind area；.
step(k):
If (aij) less than or equal to given error alpha, then s ..., n wind area belong to same wind area.
Wind energy turbine set wind limited region dividing method of the present invention first proposed and judges wind Division index；Propose strong operability simultaneously Wind limited region dividing method, can determine that assigned error scope endogenous wind area quantity be anemometer tower select quantity.Wind Division profit of the present invention With wind energy turbine set analysis of Wind Energy Resource and preferred arrangement software arrangement simulation anemometer tower, wind is surveyed to each simulation using wind Division index Tower enters sector-style Division, and then determines that assigned error scope endogenous wind area quantity is anemometer tower quantity.
Embodiment 2
Present invention additionally comprises a kind of system of selection of wind energy turbine set anemometer tower position, its step includes,
1) calculating simulation annual mean wind speed matrix calculate the meansigma methodss of each Tower for Simulation position annual mean wind speed
For each wind area of embodiment screening, all exist at each simulation anemometer tower simulation other simulation anemometer tower position Annual mean wind speed formed y × y matrix, corresponding each column all has meansigma methodss, and this value is referred to as this Tower for Simulation position annual mean wind speed Meansigma methodss, and using this value approximately as the estimated value of the measured value of the annual mean wind speed of this tower position；
2) calculate annual mean wind speed deviation matrix
The meansigma methodss of the annual mean wind speed value annual mean wind speed corresponding with this row of row each in y × y matrix are made difference can Obtain annual mean wind speed deviation y1 × y1 matrix；
3) select anemometer tower position with the meansigma methodss minimum of annual mean wind speed deviation or less than population mean for standard
For y1 × y1 deviation matrix, seek meansigma methodss yi of each element absolute value of every a line, the corresponding simulation of every a line i Anemometer tower i, and calculate population mean y with meansigma methodss yi of all row, select meansigma methodss reckling min (yi) to make in each row Anemometer tower optimum position is set for this wind energy turbine set, less than the row of population mean, anemometer tower better position is set as this wind energy turbine set；
4) anemometer tower position is selected for standard with the reckling of annual mean wind speed maximum deviation or smaller, for y1 × y1 Deviation matrix, seeks the maximum xi of each element absolute value of every a line, the corresponding simulation anemometer tower of every a line, and with all row Meansigma methodss xi calculate population mean, select the reckling of maximum in each row as this wind area anemometer tower optimum position, little In population mean row as this wind area anemometer tower better position；
5) carry out the selection of anemometer tower optimum position, consider simulation wind energy resources population deviation minimum and individual deviation Minimum target, i.e. combining step 3) and step 4) achievement, select both overlapping regions to be anemometer tower better position；According to anemometer tower Position selects universal law, selects the position setting anemometer tower in the middle part of wind area as far as possible；
6), after anemometer tower position is selected, wind energy resources achievement error analyses are carried out by analysis of Wind Energy Resource software, with this Anemometer tower is representative, and tower positions all in wind area are carried out with wind energy resources simulation, calculates the annual mean wind speed deviation of each tower position simulation Value.
The selection of anemometer tower position of the present invention is the selection carrying out anemometer tower optimum position on wind Division performance basis, According to anemometer tower better position selection standard, select the optimal anemometer tower position of analysis of Wind Energy Resource accuracy, and provide this The analysis of Wind Energy Resource achievement error to place wind area for the position anemometer tower.
The inventive method is novel, workable, improves the representativeness of wind energy turbine set anemometer tower, and fully, analysis is just for demonstration Really, achievement is reasonable.Under the requirement meeting the accuracy that analysis of Wind Energy Resource is calculated with wind energy turbine set generated energy, greatly reduce wind Electric early stage surveys wind expense.The method is applied to the survey wind of wind energy turbine set under home and overseas wind-powered electricity generation industry high mountain MODEL OVER COMPLEX TOPOGRAPHY, There is the very strong suitability, filled up complicated landform wind energy turbine set and surveyed the selection of wind stage anemometer tower quantity and the method field of arrangement Blank.

Claims (8)

1. a kind of wind energy turbine set wind limited region dividing method, its step includes,
1) choose wind energy turbine set and initially survey wind data
Generally investigated from wind energy turbine set and survey wind data, such as wind energy turbine set is no generally investigated survey wind, closed on the survey wind data of wind field using wind energy turbine set, Wind energy turbine set high altitude wind energy resource analog data can be adopted；
2) preliminary analyses wind energy turbine set wind energy resources
Initially survey wind data using wind energy turbine set, wind energy turbine set analysis of Wind Energy Resource and collection of illustrative plates meter are carried out using analysis of Wind Energy Resource software Calculate；
3) arrangement simulation anemometer tower
According to step 2) the wind energy turbine set analysis of Wind Energy Resource that obtains and collection of illustrative plates, primary election is suitable for the Wind turbines type of this wind energy turbine set, Location arrangements using Wind turbines simulate the location arrangements of anemometer tower, and that is, Wind turbines seat in the plane is also simulation anemometer tower position；
4) choose the survey wind data of simulation anemometer tower
Be taken from step 2) wind energy turbine set analysis of Wind Energy Resource and collection of illustrative plates in the simulation of each simulation anemometer tower position survey wind data；
5) the annual mean wind speed matrix of calculating simulation anemometer tower position
Arrange n seat simulation anemometer tower in wind energy turbine set, by analysis of Wind Energy Resource software, with arbitrary simulation anemometer tower as generation Table, simulates wind energy turbine set wind energy resources, calculates the annual mean wind speed at other n-1 seats simulation anemometer towers, then draws n × n square Battle array an×n=(vij), form n row n row annual mean wind speed value；
The s row of matrix represent with s-th simulation anemometer tower simulate other simulation anemometer towers at annual mean wind speed value, matrix T row represent the annual mean wind speed value simulated at t-th simulation anemometer tower with n simulation anemometer tower；
6) primary election intend select wind Division index, primary election annual mean wind speed amplitude absolute error be respectively 0.2m/s, 0.4m/s, 0.6m/s and 0.8m/s, calculates wind area quantity respectively；
7) calculate annual mean wind speed amplitude absolute error matrix
Annual mean wind speed amplitude is the difference of maximum annual mean wind speed value and minimum annual mean wind speed value；
The computational methods of annual mean wind speed amplitude absolute error matrix are: to matrix an×n=(vij) in jth row, m arrange, calculateObtain and calculate annual mean wind speed amplitude absolute error matrix bn×n=(aij)；In matrix bn×n= (aij) in, if for bk×k=(aij) in each element aijIt is respectively less than or is equal to given annual mean wind speed amplitude definitely to miss Difference, and b(k+1), (k+1)=(aij) at least one element aijMore than given annual mean wind speed amplitude absolute error then it is assumed that This k simulation anemometer tower is located at same wind area, and+No. 1 simulation anemometer tower of kth belongs to Xin Feng area；And make ajj=a(k+1)(k+1), Carry out the differentiation in next wind area with reference to above-mentioned steps；
8) merge adjacent analog anemometer tower wind area:
For given n × n matrix an×n, from the beginning of 2 × 2 matrixes, when 2 × 2 matrix each column simulate the annual mean wind speed of anemometer tower In given range of error, then No. 1 simulation anemometer tower position and No. 2 simulation anemometer tower position belong to same wind area to amplitude；
When the annual mean wind speed amplitude that 2 × 2 matrix each column simulate anemometer tower exceeds given range of error, then No. 1 simulation Anemometer tower position and No. 2 simulation anemometer tower position belong to different wind areas, and wherein No. 1 simulation anemometer tower position is single wind area, And the numerical value merger of the 2nd row the 2nd row is entered the new matrix of next group, this row and next column (i.e. the 3rd row) 2 × 2 new squares of composition Battle array, if 2 × 2 new matrix annual mean wind speed amplitudes judge, in given range of error, to continue judgement 3 × 3 matrix；
If 3 × 3 matrix each column simulate the annual mean wind speed amplitude of anemometer tower in given range of error, the 1st, No. 2 simulations Anemometer tower position and No. 3 simulation anemometer tower position belong to same wind area；
If the annual mean wind speed amplitude that 3 × 3 matrix each column simulate anemometer tower exceeds given range of error, the 1st, No. 2 simulations Anemometer tower position and No. 3 simulation anemometer tower position belong to different wind areas, and the 1st, No. 2 simulation anemometer tower positions are respectively single wind Area, and the numerical value merger of the 3rd row the 3rd row is entered the new matrix of next group, this row forms new 2 × 2 with next column (i.e. the 4th row) Matrix；
So circulate, calculate and arrange to line n n-th；
This n × n matrix an×nWind area quantity be adjacent analog anemometer tower wind area quantity in the range of assigned error.
2. wind energy turbine set wind limited region dividing method as claimed in claim 1 is it is characterised in that described step 2) in, described wind energy turbine set is During level terrain, carry out wind energy turbine set analysis of Wind Energy Resource from windfarmer analysis of Wind Energy Resource software and calculate with collection of illustrative plates；Institute When stating wind energy turbine set for non-equilibrium drilling, carry out wind energy turbine set analysis of Wind Energy Resource and collection of illustrative plates meter from wt analysis of Wind Energy Resource software Calculate.
3. wind energy turbine set wind limited region dividing method as claimed in claim 1 is it is characterised in that in step 8) after, also step 9) merge Jump wind area, for step 8) result in adjacent wind area, from the beginning of the 1st Ge Feng area, No. 1 wind area is merged with No. 3 wind area Composition Xin Feng area, if for the n × n matrix of new composition, each column simulates the annual mean wind speed amplitude of anemometer tower in given mistake In difference scope, then No. 1 wind area and No. 3 wind area belong to same wind area, can merge；If there being string to simulate in n × n matrix The annual mean wind speed amplitude of anemometer tower exceeds given range of error, then No. 1 wind area and No. 3 wind area can not merge；
Again No. 1 wind area is merged composition Xin Feng area with No. 4 wind area, if for l × l matrix of new composition, each column is simulated In given range of error, then No. 1 wind area and No. 4 wind area belong to same wind to the annual mean wind speed amplitude of anemometer tower Area, can merge；If there being the annual mean wind speed amplitude that string simulates anemometer tower to exceed given range of error in l × l matrix, No. 1 wind area and No. 4 wind area belong to different wind areas it is impossible to merge；
So circulate, until No. 1 wind area merges composition Xin Feng area with No. n-th wind area；
Again No. 2 wind area is merged composition Xin Feng area, repeat the above steps with No. 4 wind area；
So circulate, until-No. 2 wind areas of kth and the wind area of kth wind district's groups Cheng Xin, continue above-mentioned steps, k is adjacent wind area Quantity number；
If jump merges Hou Feng area error amplitude in the range of given error amplitude, accept corresponding merging side of jumping Formula, if the error that jump merges Hou Feng area exceeds given range of error, does not accept merging mode of jumping accordingly；
Also have step 10) wind energy turbine set wind Division result, given annual mean wind speed amplitude absolute error, combining step 8) and step 9) merging achievement, final merging wind area is selected in analysis, draws wind energy turbine set wind Division achievement, wind energy turbine set wind area quantity Number deducts the number in the jump wind area adopting for adjacent analog anemometer tower wind area quantity.
4. as described in claim 1 or 3 wind energy turbine set wind limited region dividing method it is characterised in that described step 7) in, use annual wind Fast absolute error matrix replaces annual mean wind speed amplitude absolute error matrix,
The computational methods of annual mean wind speed absolute error matrix are: to matrix an×n=(vij) in jth row, m arrange, calculate ajm= |vjm-vM surveys|, obtain and calculate annual mean wind speed absolute error matrix cn×n=(aij)；In matrix cn×n=(aij) in, if for ck×k=(aij) in each element aijIt is respectively less than or be equal to given annual mean wind speed absolute error, and c(k+1), (k+1)= (aij) at least one element aijMore than given annual mean wind speed absolute error then it is assumed that this k simulation anemometer tower is located at Same wind area ,+No. 1 simulation anemometer tower of kth belongs to Xin Feng area；And make ajj=a(k+1)(k+1), under carrying out with reference to above-mentioned steps The differentiation in one Ge Feng area；
In described step 8) -10) in, also use annual mean wind speed absolute error to substitute annual mean wind speed amplitude absolute error.
5. the system of selection of a kind of wind energy turbine set wind area as claimed in claim 1 anemometer tower position, its step includes,
1) calculating simulation annual mean wind speed matrix calculate the meansigma methodss of each Tower for Simulation position annual mean wind speed
For each wind area, all exist and formed with annual mean wind speed at each simulation anemometer tower simulation other simulation anemometer tower position Y × y matrix, corresponding each column all has meansigma methodss, and this value is referred to as the meansigma methodss of this Tower for Simulation position annual mean wind speed, and this value The estimated value of the measured value of the approximate annual mean wind speed as this tower position；
2) calculate annual mean wind speed deviation matrix
The meansigma methodss of the annual mean wind speed value annual mean wind speed corresponding with this row of row each in y × y matrix are made difference can get Annual mean wind speed deviation y1 × y1 matrix；
3) select anemometer tower position with the meansigma methodss minimum of annual mean wind speed deviation or less than population mean for standard
For y1 × y1 deviation matrix, seek meansigma methodss yi of each element absolute value of every a line, wind is surveyed in the corresponding simulation of every a line i Tower i, and calculate population mean y with meansigma methodss yi of all row, select meansigma methodss reckling min (yi) in each row as this Wind energy turbine set arranges anemometer tower optimum position, arranges anemometer tower better position less than the row of population mean as this wind energy turbine set；
4), after anemometer tower position is selected, wind energy resources achievement error analyses are carried out by analysis of Wind Energy Resource software, with this survey wind Tower is representative, and tower positions all in wind area are carried out with wind energy resources simulation, calculates the annual mean wind speed deviation of each tower position simulation.
6. the system of selection of anemometer tower position as claimed in claim 5 is it is characterised in that in step 3) after, with annual mean wind speed The reckling of maximum deviation or smaller are that standard selects anemometer tower position, for y1 × y1 deviation matrix, ask every a line each The maximum xi of element absolute value, the corresponding simulation anemometer tower of every a line, and calculate population mean with meansigma methodss xi of all row Value, the reckling selecting maximum in each row is as this wind area anemometer tower optimum position, going as this less than population mean Wind area anemometer tower better position.
7. the system of selection of anemometer tower position as claimed in claim 5 is it is characterised in that in step 4) before, carry out anemometer tower The selection of best placement, considers simulation wind energy resources population deviation minimum and individual deviation minimum target, i.e. combining step 3) With step 4) achievement, select both overlapping regions to be anemometer tower better position.
8. the system of selection of anemometer tower position as claimed in claim 5 is it is characterised in that select general rule according to anemometer tower position Rule, selects the position setting anemometer tower in the middle part of wind area as far as possible.
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CN109599899A (en) * 2018-12-14 2019-04-09 国网山东省电力公司经济技术研究院 A kind of setting method of new energy running simulation boundary condition
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CN110751213A (en) * 2019-10-21 2020-02-04 东北电力大学 Method for identifying and supplementing abnormal wind speed data of wind measuring tower
CN110751213B (en) * 2019-10-21 2022-09-20 东北电力大学 Method for identifying and supplementing abnormal wind speed data of wind measuring tower
CN112700349A (en) * 2019-10-22 2021-04-23 北京金风科创风电设备有限公司 Anemometer tower site selection method and device
CN112700349B (en) * 2019-10-22 2023-11-07 北京金风科创风电设备有限公司 Method and device for selecting site of anemometer tower
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