CN107784408A - Wind resource assessment method, device and system based on terrain classification - Google Patents
Wind resource assessment method, device and system based on terrain classification Download PDFInfo
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Abstract
The invention provides a wind resource assessment method, a wind resource assessment device and a wind resource assessment system based on terrain classification, wherein the wind resource assessment method based on terrain classification comprises the following steps: acquiring topographic data of each monitoring point in a region to be detected of each wind turbine machine site in a target plot; obtaining the terrain type of each area to be detected according to the terrain data of each monitoring point in each area to be detected; establishing a corresponding relation between the terrain type and the wind condition data of each area to be detected according to the terrain type of each area to be detected and the wind condition data of each area to be detected; and according to the corresponding relation, performing wind resource evaluation on the plot to be evaluated. The terrain classification processing method for the wind power plant can improve the accuracy of wind resource evaluation and site selection of the wind power plant.
Description
Technical field
The present invention relates to geography information and technical field of wind power generation, more particularly to a kind of wind money based on classification of landform
Source appraisal procedure, apparatus and system.
Background technology
Wind power plant refers to wind energy being converted to mechanical energy, then converts mechanical energy into the wind power generation field of electric energy.Wind power plant
Addressing include macroscopical addressing and microcosmic structure, macroscopical addressing be from a larger area select a wind energy resources abundant and
Zonule with optimal utilization value, microcosmic structure refer to determine how arrangement wind in selected zonule in macroscopical addressing
Power machine, make whole wind power plant that there is preferable economic benefit.Wherein, wind-resources assessment and analysis be carry out wind energy resources open
The most key step of hair, planning, wind farm siting.
In the assessment and analysis of wind-resources, orographic factor is an important aspect, in ground layer, wind speed and direction
Had a great influence by landform, i.e. different landform can influence the distribution of wind regime, and the change of wind regime largely have impact on pair
The assessment of wind-resources availability.At present, wind-resources assessment and analysis mainly use wind-resources assessment software, carried by software
To terrain data and the related algorithm of meteorological data, deduce out the wind-resources situation in target plot, obtain wind power plant three-dimensional
The wind-resources assessment result of any point in space, including mean wind speed, wind power concentration, etc..
Wind-resources are assessed using wind-resources assessment software, although it is contemplated that shadow of the orographic factor to wind-resources assessment
Ring, still, often can not truly reflect influence of the landform to the wind regime of each wind energy conversion system seat in the plane point in wind power plant so that
The result of assessment and the analysis of wind-resources lacks practicality, can not veritably be applied to the wind farm siting in later stage.
The content of the invention
The present invention provides a kind of Method of Wind Resource Assessment based on classification of landform, apparatus and system, can lift wind-resources
Assess and analyze the accuracy that mesorelief influences for wind regime.
Method of Wind Resource Assessment provided by the invention based on classification of landform, including：
Obtain the terrain data of each monitoring point in target plot in the region to be detected of each wind energy conversion system seat in the plane point；
According to the terrain data of each monitoring point in each region to be detected, the landform class in each region to be detected is obtained
Type；
According to the terrain type in each region to be detected and the wind regime data in each region to be detected, establish each to be checked
The corresponding relation surveyed between the terrain type and wind regime data in region；
According to the corresponding relation, wind-resources assessment is carried out to plot to be assessed.
Wind-resources assessment device provided by the invention based on classification of landform, including：
Acquisition module, for obtaining each monitoring point in target plot in the region to be detected of each wind energy conversion system seat in the plane point
Terrain data；
First processing module, for the terrain data according to each monitoring point in each region to be detected, obtain each
The terrain type in region to be detected；
Second processing module, for the terrain type according to each region to be detected and the wind regime in each region to be detected
Data, the corresponding relation established between the terrain type and wind regime data in each region to be detected；
Wind-resources assessment module, for according to the corresponding relation, wind-resources assessment to be carried out to plot to be assessed.
Wind-resources assessment system provided by the invention based on classification of landform, including：
The wind-resources assessment device and terrain data mapping dress based on classification of landform that any embodiment of the present invention provides
Put, wherein,
Terrain data plotting board, for each in the region to be detected of each wind energy conversion system seat in the plane point in target plot
The terrain data of monitoring point is surveyed and drawn, and by the terrain data be sent to that any embodiment of the present invention provides based on landform
The wind-resources assessment device of classification.
The invention provides a kind of Method of Wind Resource Assessment based on classification of landform, apparatus and system.It is provided by the invention
Method of Wind Resource Assessment based on classification of landform, terrain type and wind regime data are connected, in wind-resources assessment and analysis
In obtain the systematization classification results that orographic factor influences on wind regime, by the systematization classification results be applied to wind-resources assessment with
And in wind farm siting, improve wind-resources assessment and the accuracy of wind farm siting.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are this hairs
Some bright embodiments, for those of ordinary skill in the art, without having to pay creative labor, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is the flow chart for the Method of Wind Resource Assessment based on classification of landform that the embodiment of the present invention one provides；
Fig. 2A~Fig. 2 B are the structural representation in the region to be detected that the embodiment of the present invention one provides；
Fig. 3 is the structural representation of monitoring point in the region to be detected of the offer of inventive embodiments one；
Fig. 4 is the flow chart for the Method of Wind Resource Assessment based on classification of landform that the embodiment of the present invention two provides；
Fig. 5 is the flow chart for the Method of Wind Resource Assessment based on classification of landform that the embodiment of the present invention three provides；
Fig. 6 is the structural representation for the wind-resources assessment device based on classification of landform that the embodiment of the present invention one provides；
Fig. 7 is the structural representation for the wind-resources assessment system based on classification of landform that the embodiment of the present invention one provides.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
The flow chart for the Method of Wind Resource Assessment based on classification of landform that Fig. 1 provides for the embodiment of the present invention one, this implementation
The Method of Wind Resource Assessment based on classification of landform that example provides, executive agent can be the wind-resources assessment dress based on classification of landform
Put.As shown in figure 1, the Method of Wind Resource Assessment based on classification of landform that the present embodiment provides, can include：
The ground of each monitoring point in step 101, acquisition target plot in the region to be detected of each wind energy conversion system seat in the plane point
Graphic data.
Specifically, be provided with multiple wind energy conversion system seat in the plane points in target plot, built on each wind energy conversion system seat in the plane point or
One wind energy conversion system of person's Program Construction, each wind energy conversion system seat in the plane point are corresponding with a region to be detected, i.e., are by target Parcel division
Multiple regions to be detected, each include a wind energy conversion system seat in the plane point in region to be detected, each region to be detected includes
There are multiple monitoring points.
In this step, the ground figurate number of each monitoring point corresponding to each wind energy conversion system seat in the plane point in region to be detected is obtained
According to.It is therefore, each to be checked by obtaining because the hypsography of wind energy conversion system seat in the plane point region has a direct impact for wind regime
The terrain data of each monitoring point in region is surveyed, so as to know the topographic features in each region to be detected, for follow-up
Data analysis.
Optionally, terrain data can be three-dimensional data.
Optionally, the terrain data of each monitoring point can include：The elevation of each monitoring point, the gradient of each monitoring point
With the slope aspect of each monitoring point.
Optionally, the landform of each monitoring point in target plot in the region to be detected of each wind energy conversion system seat in the plane point is obtained
Data, it can include：
Using each monitoring point in the region to be detected of each wind energy conversion system seat in the plane point of aerophotogrammetry technical limit spacing
Terrain data；Or using each monitoring point in the region to be detected of each wind energy conversion system seat in the plane point of engineering mapping technical limit spacing
Terrain data.
Wherein, aerophotogrammetry technology can be any one existing e measurement technology, such as：Unmanned plane aeroplane photography
E measurement technology, big aircraft aviation photogrammetric technology, etc..
It should be noted that the needs that target plot is implemented according to Practical Project and technology are chosen, the present embodiment
This is not any limitation as.Such as：Target plot can build and run wind power plant for many years well, now, target
Being built in block has wind energy conversion system.Target plot can also be the blank plot being in construction plan, and now, target does not have in plot
There is construction wind energy conversion system, but planned the seat in the plane point of wind energy conversion system.
It should be noted that region to be detected can have any shape in the projection of shape of horizontal plane, the present embodiment is to this
It is not any limitation as.Such as：Region to be detected can be circular, rectangle, etc. in the projection of horizontal plane.
It should be noted that region to be detected is configured according to being actually needed in the projected area of horizontal plane, this implementation
Example is not any limitation as to this.
It should be noted that region to be detected corresponding to two adjacent wind energy conversion system seat in the plane points, its coverage can weigh
It is folded, can not also be overlapping, the present embodiment is not any limitation as to this.
Optionally, region to be detected includes center setting area；Or region to be detected includes center setting area and periphery is delayed
Rush area.
Wherein, center sets region of the area to include wind energy conversion system seat in the plane point, and peripheral buffer is to set the outer of area with center
Surrounding edge circle is for beginning boundary to the region of the Directional Extension away from wind energy conversion system seat in the plane point.
Specifically, for region to be detected corresponding to the point of wind energy conversion system seat in the plane, the distance apart from wind energy conversion system seat in the plane point is nearer, ground
The influence amplitude that shape rises and falls for wind regime is bigger, and the distance apart from wind energy conversion system seat in the plane point is more remote, shadow of the hypsography for wind regime
The amplitude of sound is smaller, moreover, even if the distance apart from wind energy conversion system seat in the plane point is identical, influence of the different landform for wind regime is also not
With, therefore, region to be detected corresponding to the point of wind energy conversion system seat in the plane is further divided into center setting area and peripheral buffer, point
Safety pin analyzes influence of the landform to wind regime to center setting area and peripheral buffer, has refined analysis granularity, further lifting
The accuracy of wind-resources assessment process mesorelief and wind regime corresponding relation.
Optionally, if region to be detected includes center setting area, each wind energy conversion system seat in the plane point in target plot is obtained
The terrain data of each monitoring point in region to be detected, can include：
Obtain the first terrain data of each first monitoring point in the center setting area of each wind energy conversion system seat in the plane point.
Optionally, if region to be detected includes center setting area and peripheral buffer, each wind in target plot is obtained
The terrain data of each monitoring point in the region to be detected of power machine seat in the plane point, can include：
Obtain the first terrain data of each first monitoring point in the center setting area of each wind energy conversion system seat in the plane point；With
And obtain the second terrain data of each second monitoring point in the peripheral buffer of each wind energy conversion system seat in the plane point.
It should be noted that if region to be detected includes center setting area, adjacent two wind energy conversion system seat in the plane points are corresponding
Center setting area, its coverage can be with overlapping, can not also be overlapping.If region to be detected includes center setting area and periphery
Buffering area, then center sets area corresponding to two adjacent wind energy conversion system seat in the plane points, and its coverage is misaligned, adjacent two wind
Peripheral buffer corresponding to a wind energy conversion system seat in the plane point in the point of power machine seat in the plane, its coverage and two adjacent wind energy conversion system seats in the plane
The coverage of center setting area or peripheral buffer corresponding to another wind energy conversion system seat in the plane point, can overlap, also may be used in point
With misaligned.
It should be noted that the position of the monitoring point in each region to be detected, is configured, this reality according to being actually needed
Example is applied not to be any limitation as this.Such as：Monitoring point can in region to be detected random distribution, can also be according to certain rule
It is configured.
Step 102, the terrain data according to each monitoring point in each region to be detected, obtain each region to be detected
Terrain type.
Wherein, the terrain type in region to be detected indicates the features of terrain in region to be detected.
Wherein, terrain type has terrain type mark and/or terrain type title, terrain type mark and terrain type
Title corresponds, for uniquely distinguishing different terrain types.
It should be noted that the present embodiment is not limited for the implementation of terrain type mark and terrain type title
System, is configured as needed.
Such as：Terrain type title can be：One-level gentle slope landform, two level gentle slope landform, three-level gentle slope landform, wherein,
The gradient of one-level gentle slope landform is less than the gradient of two level gentle slope landform, and the gradient of two level gentle slope landform is less than three-level gentle slope landform
The gradient.
In another example：Terrain type identifies：Slope-consistent-1、Slope-consistent-2、
Slope-consistent-3, wherein, the slope aspect uniformity that Slope-consistent-1 is represented is less than Slope-
The slope aspect uniformity that consistent-2 is represented, the slope aspect uniformity that Slope-consistent-2 is represented are less than Slope-
Slope aspect uniformity that consistent-3 is represented, etc..
It should be noted that classification of the present embodiment for terrain type is not any limitation as, it is configured as needed.Example
Such as：Terrain type can be gentle slope landform, steep slope topography, the consistent landform of slope aspect, the inconsistent landform of slope aspect, etc..
The terrain type in each region to be detected of step 103, basis and the wind regime data in each region to be detected, are established
Corresponding relation between the terrain type and wind regime data in each region to be detected.
Wherein, wind regime data can include wind speed and direction.
Specifically, influence of the different terrain types for wind regime is entirely different.For example, region A to be detected and treating
Detection zone B belongs to steep slope topography, and the abrupt slope in region A to be detected is all located at leeward side, the abrupt slope in region B to be detected
Aweather side is all located at, region C to be detected belongs to gentle slope landform.Because the abrupt slope in region A to be detected is all located at leeward side,
So influences of the region A to be detected for wind speed and direction is not very big, and comparatively speaking, the abrupt slope in region B to be detected
Aweather side is all located at, then influences of the region B to be detected for wind speed and direction is very big, and region C to be detected is with belonging to gentle slope
Shape, therefore, influences of the region C to be detected for wind speed and direction is not very big.Although region A to be detected and region B to be detected
Belong to steep slope topography, but the influence based on landform to wind regime, region A to be detected and region C to be detected can be classified as one
Class, region B to be detected are one kind.Therefore, in this step, by the terrain type in each region to be detected and each area to be detected
The wind regime data in domain, which combine, to be analyzed, it is possible to region to be detected is carried out into landform point for influence of the landform to wind regime
Class, i.e. the corresponding relation between the terrain type and wind regime data in each region to be detected can be obtained.
Optionally, if region to be detected includes center setting area, according to the terrain type in each region to be detected and
The wind regime data in each region to be detected, the corresponding pass established between the terrain type and wind regime data in each region to be detected
System, can include：
First terrain type in area and the first wind regime data in each center setting area are set according to each center, are obtained
The first corresponding relation between first terrain type and the first wind regime data in each center setting area.
Optionally, if region to be detected includes center setting area and peripheral buffer, according to each region to be detected
Terrain type and the wind regime data in each region to be detected, establish each region to be detected terrain type and wind regime data it
Between corresponding relation, can include：
First terrain type in area and the first wind regime data in each center setting area are set according to each center, are obtained
The first corresponding relation between first terrain type and the first wind regime data in each center setting area；And according to each week
Second terrain type of side buffering area and the second wind regime data of each peripheral buffer, obtain the of each peripheral buffer
The second corresponding relation between two terrain types and the second wind regime data.
Corresponding relation between the terrain type and wind regime data in each region to be detected of step 104, basis, to be assessed
Plot carries out wind-resources assessment.
Specifically, planning is had into multiple wind energy conversion system seat in the plane points in plot to be assessed, each wind energy conversion system seat in the plane point to be planned
It is corresponding with a region to be assessed.Due to establishing terrain type by carrying out analysis to each region to be detected in target plot
With the corresponding relation between wind regime data, the corresponding relation can reflect the systematization classification knot that orographic factor influences on wind regime
Fruit, therefore, for the region to be assessed of wind energy conversion system seat in the plane point to be planned, according to the terrain data in region to be assessed and build
Corresponding relation between vertical terrain type and wind regime data, it is possible to treat assessment area and carry out accurate wind-resources assessment,
Know the wind regime in region to be assessed, and then the addressing for wind energy conversion system seat in the plane point provides data supporting.
It can be seen that the Method of Wind Resource Assessment based on classification of landform that the present embodiment provides, by terrain type and wind regime data
Connect, the sorting technique of terrain type and thought are introduced into wind-powered electricity generation science and technology, for influence situation of the landform to wind regime,
In the case that wind speed, wind direction are basically identical, it is similar to filter out influence of which kind of terrain type to wind regime, obtains terrain type
With the corresponding relation between wind regime data, and then orographic factor is obtained in wind-resources assessment and analysis and is on what wind regime influenceed
Systemization classification results, improve wind-resources assessment and analyze the accuracy that mesorelief influences for wind regime.Further, it is this is corresponding
Relation in the addressing applied to wind energy conversion system seat in the plane point, can lift wind farm siting as wind-resources assessment and the foundation of analysis
Accuracy.
Optionally, before step 101, can also include：
It is multiple regions to be detected by target Parcel division.
Monitoring point is set in each region to be detected.
Optionally, as a kind of concrete implementation mode, it is multiple regions to be detected by target Parcel division, can wraps
Include：
If wind energy conversion system in target plot according to pre-set specifications regular distribution, by the seat in the plane point of two neighboring wind energy conversion system it
Between perpendicular bisector as border, and using the seat in the plane point of each wind energy conversion system as central point, target wind farm is divided into more
Individual region to be detected.
Above-mentioned implementation is described in detail with specific example below.
Fig. 2A is the structural representation in the region to be detected that the embodiment of the present invention one provides, and as shown in Figure 2 A, wind energy conversion system is pressed
Regularly arranged according to row and column, the distance between seat in the plane point of two adjacent wind energy conversion systems is less than default spacing, now, by adjacent two
Perpendicular bisector between the seat in the plane point of individual wind energy conversion system can divide multiple regions to be detected as border, wherein, it is each to be checked
Surveying region includes center setting area and peripheral buffer.For the wind energy conversion system of the first row first row, center setting area
For --- enclose and set the rectangular area to be formed, wind energy conversion system is located at the center of rectangular area, and peripheral buffer is --- with
And --- --- --- --- --, which encloses, sets the hollow, rectangular region to be formed, the coverage of peripheral buffer and the wind of the first row first row
The coverage portion in center setting area corresponding to the wind energy conversion system of power machine, the wind energy conversion system of the second row first row and the second row secondary series
Divide overlapping.
Optionally, as another concrete implementation mode, it is multiple regions to be detected by target Parcel division, can wraps
Include：
If the discrete distribution of wind energy conversion system in target plot, according to the first pre-determined distance using the seat in the plane point of each wind energy conversion system as
Central point, target wind farm is divided into multiple regions to be detected.
Wherein, discrete distribution refers to that the distance between seat in the plane point of two adjacent wind energy conversion systems is more than default spacing.
Above-mentioned implementation is described in detail with specific example below.
Fig. 2 B be the embodiment of the present invention one provide region to be detected structural representation, as shown in Figure 2 B, wind energy conversion system from
Dissipate distribution, the distance between seat in the plane point of two adjacent wind energy conversion systems is more than default spacing, now, according to the first pre-determined distance with
Point centered on the seat in the plane point of each wind energy conversion system, multiple regions to be detected are divided into by target wind farm, wherein, each area to be detected
Domain includes center setting area and peripheral buffer.For each wind energy conversion system, center set area as --- enclose to set and to be formed just
Square region, wind energy conversion system are located at the center of square area, peripheral buffer --- and --- --- ----enclose sets to be formed
Hollow square region.
Optionally, as a kind of concrete implementation mode, monitoring point is set in each region to be detected, can be included：
A plurality of cut-off rule is set according to orthogonal both direction in region to be detected according to the second pre-determined distance.
Using the intersection point of a plurality of cut-off rule and a plurality of cut-off rule and the intersection point on the border in region to be detected as monitoring point.
If it should be noted that region to be detected include center setting area, or, region to be detected include center setting area
And peripheral buffer, then it is similar to the processing procedure of peripheral buffer for center setting area, it is performed both by above-mentioned steps.
Above-mentioned implementation is described in detail with specific example below.
Fig. 3 is the structural representation of monitoring point in the region to be detected of the offer of inventive embodiments one.It is as shown in figure 3, to be checked
Surveying region includes center setting area and peripheral buffer, center set area as-enclose and set the square area to be formed, wind energy conversion system is located at
The center of square area, peripheral buffer for-and --- --- enclose and set the hollow square region to be formed, it is default according to second
Distance sets a plurality of cut-off rule in center setting area and peripheral buffer according to both direction horizontally and vertically, then a plurality of point
The intersection point of secant and a plurality of cut-off rule and the intersection point in center setting area and the border of peripheral buffer are arranged to monitoring point, have
Body, ● illustrate center setting and go to interior monitoring point, zero, which illustrates center, sets the monitoring point taken in area, wherein, center is set
The monitoring point for determining district center overlaps with wind energy conversion system seat in the plane point.
It should be noted that the default spacing, the first pre-determined distance and the second pre-determined distance in the present embodiment are as needed
It is configured, the present embodiment is not any limitation as to this.
A kind of Method of Wind Resource Assessment based on classification of landform is present embodiments provided, including：Obtain every in target plot
The terrain data of each monitoring point in the region to be detected of individual wind energy conversion system seat in the plane point, according to each in each region to be detected
The terrain data of monitoring point, obtain the terrain type in each region to be detected, according to the terrain type in each region to be detected with
And the wind regime data in each region to be detected, the corresponding pass established between the terrain type and wind regime data in each region to be detected
System, according to the corresponding relation between the terrain type and wind regime data in each region to be detected, to wind to be planned in blank plot
The region to be assessed of power machine seat in the plane point carries out wind-resources assessment.The wind-resources assessment side based on classification of landform that the present embodiment provides
Method, terrain type and wind regime data are connected, obtained orographic factor in wind-resources assessment and analysis influences on wind regime
Systematization classification results, the systematization classification results are applied in wind-resources assessment and wind farm siting, improve wind
The accuracy of stock assessment and wind farm siting.
The flow chart for the Method of Wind Resource Assessment based on classification of landform that Fig. 4 provides for the embodiment of the present invention two, this implementation
Example is on the basis of embodiment one, there is provided another implementation of the Method of Wind Resource Assessment based on classification of landform, especially
Provide the specific implementation of step 102 in embodiment one.As shown in figure 4, the present embodiment provide based on classification of landform
Method of Wind Resource Assessment, step 102, according to the terrain data of each monitoring point in each region to be detected, obtain each treat
The terrain type of detection zone, it can include：
Step 201, the terrain data according to each monitoring point in each region to be detected, obtain each region to be detected
Gradient distribution ratio, slope aspect distribution ratio, elevation distribution ratio and terrain roughness.
Wherein, the gradient distribution ratio in region to be detected, refer to the value of slope of all monitoring points in region to be detected not
With each distribution ratio value in value.
The slope aspect distribution ratio in region to be detected, refer to the slope aspect value of all monitoring points in region to be detected in different values
On each distribution ratio value.
The elevation distribution ratio in region to be detected, refer to the height value of all monitoring points in region to be detected in different values
On each distribution ratio value.
The terrain roughness in region to be detected, refer to by the value of slope of all monitoring points, slope aspect value in region to be detected
The terrain roughness obtained is calculated with height value.
Gradient distribution ratio, slope aspect distribution ratio, elevation distribution ratio and the terrain roughness in comprehensive region to be detected, can
To obtain the topographic features in region to be detected.
It is described in detail below by taking gradient distribution ratio as an example.
Assuming that there is 1000 monitoring points in region to be detected, in this 1000 monitoring points, value of slope is 15 degree of monitoring point
Quantity be 400, value of slope is that the quantity of 16 degree of monitoring point is 200, and value of slope is that the quantity of 17 degree of monitoring point is
150, value of slope is that the quantity of 18 degree of monitoring point is 180, and value of slope is that the quantity of 30 degree of monitoring point is 50, the gradient
The quantity being worth for 60 degree of monitoring point is 20, then, value of slope is 15 degree, 16 degree, 17 degree, 18 degree, 30 degree and 60 degree of monitoring
Accounting of the quantity in all monitoring points of point be respectively：400/1000=40%, 200/1000=20%, 150/1000=
15%, 180/1000=18%, 50/1000=5%, 20/1000=2%, table 1 show the gradient distribution ratio in the region to be detected
Rate, it can be seen from Table 1 that, the gradient in the region to be detected is more gentle.
The gradient distribution ratio in 1 region to be detected of table
| The gradient (unit：Degree, °) | Corresponding monitoring point quantity | Distribution ratio |
| 15 | 400 | 40% |
| 16 | 200 | 20% |
| 17 | 150 | 15% |
| 18 | 180 | 18% |
| 30 | 50 | 5% |
| 60 | 20 | 2% |
Optionally, if region to be detected includes center setting area, according to each monitoring point in each region to be detected
Terrain data, gradient distribution ratio, slope aspect distribution ratio, elevation distribution ratio and the landform for obtaining each region to be detected be thick
Rugosity, it can include：
The first terrain data of each first monitoring point in area is set according to each center, obtains each center setting area
The first gradient distribution ratio, the first slope aspect distribution ratio, the first elevation distribution ratio and the first terrain roughness.
Optionally, if region to be detected includes center setting area and peripheral buffer, according in each region to be detected
Each monitoring point terrain data, obtain the gradient distribution ratio in each region to be detected, slope aspect distribution ratio, elevation distribution
Ratio and terrain roughness, it can include：
The first terrain data of each first monitoring point in area is set according to each center, obtains each center setting area
The first gradient distribution ratio, the first slope aspect distribution ratio, the first elevation distribution ratio and the first terrain roughness；And root
According to the second terrain data of each second monitoring point in each peripheral buffer, second gradient of each peripheral buffer is obtained
Distribution ratio, the second slope aspect distribution ratio, the second elevation distribution ratio and the second terrain roughness.
Step 202, according to the gradient distribution ratio in each region to be detected, slope aspect distribution ratio, elevation distribution ratio and
Terrain roughness, establish the relief model in each region to be detected.
Specifically, in the present embodiment, pass through the gradient distribution ratio in each region to be detected, slope aspect distribution ratio, height
Journey distribution ratio and terrain roughness establish relief model, can avoid when number of samples is very few using each monitoring point
Value of slope, slope aspect value, height value improve building for relief model come relief model inaccuracy problem caused by establishing relief model
Vertical accuracy.
It should be noted that the present embodiment uses for the specific implementation of relief model and when establishing relief model
Algorithm be not particularly limited.Such as：Relief model can be digital elevation model (Digital Elevation Model, letter
Claim DEM), digital terrain model (Digital Terrain Model, abbreviation DTM), etc..Algorithm can use overall fit
Method, local fit method, etc..
Step 203, the relief model according to each region to be detected, obtain the terrain type in each region to be detected.
Specifically, relief model can reflect the surface relief change in region to be detected, terrain type is then by landform
The similar all landform of a certain feature are classified as one kind in model.
Optionally, step 203, according to the relief model in each region to be detected, the landform in each region to be detected is obtained
Type, it can include：
The relief model in each region to be detected is classified according to default criteria for classification, obtains each region to be detected
Relief model type.
According to the type of relief model and the corresponding relation of terrain type in each region to be detected, obtain each to be detected
The terrain type in region.Wherein, presetting criteria for classification includes terrain data scope corresponding to each terrain type.
Optionally, preset criteria for classification include it is following at least one of：
In region to be detected the value of slope of monitoring point for the first default value monitoring point quantity in region to be detected institute
There is ratio shared in the quantity of monitoring point in the first preset range.
In region to be detected the slope aspect value of monitoring point for the second default value monitoring point quantity in region to be detected institute
There is ratio shared in the quantity of monitoring point in the second preset range.
In region to be detected the height value of monitoring point for the 3rd default value monitoring point quantity in region to be detected institute
There is ratio shared in the quantity of monitoring point in the 3rd preset range.
The surface roughness in region to be detected is the 4th default value.
It should be noted that in the present embodiment, the first default value, the first preset range, the second default value, second
Preset range, the 3rd default value, the 3rd preset range, the 4th default value are configured as needed, and the present embodiment is to this
It is not any limitation as.
It is described in detail below by taking concrete numerical value as an example.
Assuming that default criteria for classification only includes gradient factor.When the first default value is 15 degree and the first preset range is
When 30%~50%, corresponding one-level gentle slope landform, when the first default value is 18 degree and the first preset range is 28%~48%
When, corresponding two level gentle slope landform, when the first default value is 25 degree and the first preset range is 25%~45%, corresponding three-level
Gentle slope landform, wherein, the gradient of one-level gentle slope landform is less than two level gentle slope landform, and the gradient of two level gentle slope landform is delayed less than three-level
Hillside fields shape.
By taking the region to be detected shown in table 1 as an example, because the monitoring point quantity that value of slope is 15 degree is in all monitoring points
Accounting in amount is 40%, 30%~50% scope is fall into, so the terrain type in the region to be detected is one-level gentle slope
Landform.
A kind of Method of Wind Resource Assessment based on classification of landform is present embodiments provided, terrain type and wind regime data are joined
System gets up, and the systematization classification results that orographic factor influences on wind regime has been obtained in wind-resources assessment and analysis, by the system
Change classification results to be applied in wind-resources assessment and wind farm siting, improve wind-resources assessment and the standard of wind farm siting
True property.
The flow chart for the Method of Wind Resource Assessment based on classification of landform that Fig. 5 provides for the embodiment of the present invention three, this implementation
Example is on the basis of embodiment one and embodiment two, there is provided another realization of the Method of Wind Resource Assessment based on classification of landform
Mode.As shown in figure 5, the Method of Wind Resource Assessment based on classification of landform that the present embodiment provides, can also include：
Step 301, the service data for obtaining each wind energy conversion system in target plot.
Wherein, the service data of wind energy conversion system includes：Wind energy conversion system operation troubles rate and wind turbine power generation amount.
The landform class of step 302, the service data according to each wind energy conversion system and region to be detected corresponding to each wind energy conversion system
Type, obtain the corresponding relation between the terrain type and service data in each region to be detected.
Specifically, influence of the different landform for wind regime is different, and operation of the different wind regime for wind energy conversion system
Influence and different, for example, for the faster wind regime of the stable wind speed of wind direction, wind energy conversion system operation troubles rate will be relatively low, wind-force
The generated energy of machine also can be larger and stably, unstable or wind speed changes faster wind regime, wind energy conversion system operation troubles for wind direction
Rate will be higher, and the generated energy of wind energy conversion system also can be unstable, therefore, in this step, according to the service data of each wind energy conversion system
With each wind energy conversion system corresponding to region to be detected terrain type, it is possible to will for influence of the landform to wind energy conversion system operation conditions
The terrain type in region to be detected is further classified, i.e. can obtain the terrain type and fortune in each region to be detected
Corresponding relation between row data, further, the corresponding relation, should as the addressing of wind energy conversion system macroscopic view and the foundation of microcosmic structure
In addressing for wind energy conversion system seat in the plane point, the accuracy of wind farm siting can be lifted.
A kind of Method of Wind Resource Assessment based on classification of landform is present embodiments provided, in addition to：Obtain in target plot
The service data of each wind energy conversion system, according to the ground in region to be detected corresponding to the service data of each wind energy conversion system and each wind energy conversion system
Shape type, obtain the corresponding relation between the terrain type and service data in each region to be detected.The base that the present embodiment provides
In the Method of Wind Resource Assessment of classification of landform, the service data of terrain type and wind energy conversion system is connected, obtain landform because
The systematization classification results are applied in wind farm siting, improved for the systematization classification results of wind energy conversion system addressing by element
The accuracy of wind farm siting.
Fig. 6 is the structural representation for the wind-resources assessment device based on classification of landform that the embodiment of the present invention one provides, this
Embodiment provide the wind-resources assessment device based on classification of landform, to perform Fig. 1~Fig. 5 any embodiments offer based on
The Method of Wind Resource Assessment of classification of landform.As shown in fig. 6, the dress of the wind-resources assessment based on classification of landform that the present embodiment provides
Put, can include：
Acquisition module 11, for obtaining each monitoring in target plot in the region to be detected of each wind energy conversion system seat in the plane point
The terrain data of point.
First processing module 12, for the terrain data according to each monitoring point in each region to be detected, obtain every
The terrain type in individual region to be detected.
Second processing module 13, for the terrain type according to each region to be detected and the wind in each region to be detected
Condition data, the corresponding relation established between the terrain type and wind regime data in each region to be detected.
Wind-resources assessment module 14, for corresponding between the terrain type and wind regime data according to each region to be detected
Relation, wind-resources assessment is carried out to plot to be assessed.
Optionally, first processing module 12 is specifically used for：
According to the terrain data of each monitoring point in each region to be detected, the gradient for calculating each region to be detected is divided
Cloth ratio, slope aspect distribution ratio, elevation distribution ratio and terrain roughness.
It is coarse according to the gradient distribution ratio in each region to be detected, slope aspect distribution ratio, elevation distribution ratio and landform
Degree, establish the relief model in each region to be detected.
According to the relief model in each region to be detected, the terrain type in each region to be detected is obtained.
Optionally, first processing module 12 is specifically used for：
The relief model in each region to be detected is classified according to default criteria for classification, obtains each region to be detected
Relief model type.
According to the type of relief model and the corresponding relation of terrain type in each region to be detected, obtain each to be detected
The terrain type in region.Wherein, presetting criteria for classification includes terrain data scope corresponding to each terrain type.
Optionally, preset criteria for classification include it is following at least one of：
In region to be detected the value of slope of monitoring point for the first default value monitoring point quantity in region to be detected institute
There is ratio shared in the quantity of monitoring point in the first preset range.
In region to be detected the slope aspect value of monitoring point for the second default value monitoring point quantity in region to be detected institute
There is ratio shared in the quantity of monitoring point in the second preset range.
In region to be detected the height value of monitoring point for the 3rd default value monitoring point quantity in region to be detected institute
There is ratio shared in the quantity of monitoring point in the 3rd preset range.
The surface roughness in region to be detected is the 4th default value.
Optionally, in addition to：3rd processing module 15.
Acquisition module 11 is additionally operable to：
Obtain the service data of each wind energy conversion system in target plot.
3rd processing module 15 is used for：
According to the terrain type in region to be detected corresponding to the service data of each wind energy conversion system and each wind energy conversion system, obtain every
Corresponding relation between the terrain type and service data in individual region to be detected.
Optionally, acquisition module 11 is specifically used for：
Using the ground of each monitoring point in the region to be detected of each wind energy conversion system seat in the plane point of aerophotogrammetry technical limit spacing
Graphic data.Or
Using the ground figurate number of each monitoring point in the region to be detected of each wind energy conversion system seat in the plane point of engineering mapping technical limit spacing
According to.
Optionally, region to be detected includes center setting area, or, region to be detected includes center setting area and periphery is delayed
Rush area.
Wherein, center sets region of the area to include wind energy conversion system seat in the plane point.Peripheral buffer is to set the outer of area with center
Surrounding edge circle is for beginning boundary to the region of the Directional Extension away from wind energy conversion system seat in the plane point.
The wind-resources assessment device based on classification of landform that the present embodiment provides, for performing the reality of method shown in Fig. 1~Fig. 5
The Method of Wind Resource Assessment based on classification of landform of example offer is applied, its technical principle is similar with technique effect, and here is omitted.
Fig. 7 is the structural representation for the wind-resources assessment system based on classification of landform that the embodiment of the present invention one provides.Such as
Shown in Fig. 7, the wind-resources assessment system based on classification of landform of the present embodiment offer, it can include：Embodiment illustrated in fig. 6 provides
The wind-resources assessment device 22 based on classification of landform, and terrain data plotting board 21.
Wherein, terrain data plotting board 21, for the region to be detected to each wind energy conversion system seat in the plane point in target plot
The terrain data of interior each monitoring point is surveyed and drawn, and by terrain data be sent to that embodiment illustrated in fig. 6 provides based on ground
The wind-resources assessment device 22 of shape classification.
It should be noted that specific implementation form of the present embodiment for terrain data plotting board 21 does not do special limit
System, can be any one realize terrain data mapping and output instrument of surveying and mapping.
Such as：Terrain data plotting board 21 can be：Theodolite, spirit level, plane table, electromagnetic distance measuring instrument, laser
Measuring instrument, photogrammeter, stereo-comparator, stereoscopic plotter, unmanned plane, etc..
It should be noted that terrain data is sent to based on landform point by the present embodiment for terrain data plotting board 21
The transmission form of the wind-resources assessment device 22 of class is not particularly limited.Such as：Wireless transmission mode, wired transmission can be used
Mode or by way of reading memory card contents, etc..
The wind-resources assessment system based on classification of landform that the present embodiment provides, including the base that embodiment illustrated in fig. 6 provides
In the wind-resources assessment device of classification of landform, its technical principle is similar with technique effect, and here is omitted.
Finally it should be noted that：Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
The present invention is described in detail with reference to foregoing embodiments for pipe, it will be understood by those within the art that：Its according to
The technical scheme described in foregoing embodiments can so be modified, either which part or all technical characteristic are entered
Row equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme.
Claims (13)
- A kind of 1. Method of Wind Resource Assessment based on classification of landform, it is characterised in that including：Obtain the terrain data of each monitoring point in target plot in the region to be detected of each wind energy conversion system seat in the plane point；According to the terrain data of each monitoring point in each region to be detected, the terrain type in each region to be detected is obtained；According to the terrain type in each region to be detected and the wind regime data in each region to be detected, each area to be detected is established Corresponding relation between the terrain type and wind regime data in domain；According to the corresponding relation, wind-resources assessment is carried out to plot to be assessed.
- 2. according to the method for claim 1, it is characterised in that each each monitoring point in region to be detected of the basis Terrain data, obtain the terrain type in each region to be detected, including：According to the terrain data of each monitoring point in each region to be detected, the gradient distribution ratio in each region to be detected of calculating Rate, slope aspect distribution ratio, elevation distribution ratio and terrain roughness；According to the gradient distribution ratio in each region to be detected, slope aspect distribution ratio, elevation distribution ratio and terrain roughness, build The relief model in vertical each region to be detected；According to the relief model in each region to be detected, the terrain type in each region to be detected is obtained.
- 3. according to the method for claim 2, it is characterised in that the relief model in each region to be detected of the basis, obtain To the terrain type in each region to be detected, including：The relief model in each region to be detected is classified according to default criteria for classification, obtains the ground in each region to be detected The type of shape model；According to the type of relief model and the corresponding relation of terrain type in each region to be detected, each region to be detected is obtained Terrain type；Wherein, the default criteria for classification includes terrain data scope corresponding to each terrain type.
- 4. according to the method for claim 3, it is characterised in that the default criteria for classification include it is following at least one ：In region to be detected the value of slope of monitoring point for the first default value monitoring point quantity in the region to be detected institute There is ratio shared in the quantity of monitoring point in the first preset range；In region to be detected the slope aspect value of monitoring point for the second default value monitoring point quantity in the region to be detected institute There is ratio shared in the quantity of monitoring point in the second preset range；In region to be detected the height value of monitoring point for the 3rd default value monitoring point quantity in the region to be detected institute There is ratio shared in the quantity of monitoring point in the 3rd preset range；The surface roughness in region to be detected is the 4th default value.
- 5. according to the method described in any one of Claims 1-4, it is characterised in that methods described also includes：Obtain the service data of each wind energy conversion system in the target plot；According to the terrain type in region to be detected corresponding to the service data of each wind energy conversion system and each wind energy conversion system, acquisition is each treated Corresponding relation between the terrain type and service data of detection zone.
- 6. according to the method described in any one of claim 1 to 5, it is characterised in that the region to be detected includes center and set Area；Or the region to be detected includes center setting area and peripheral buffer；Wherein, the center sets region of the area to include wind energy conversion system seat in the plane point；The peripheral buffer is to be set with the center The peripheral boundary in area is determined for beginning boundary to the region of the Directional Extension away from wind energy conversion system seat in the plane point.
- A kind of 7. wind-resources assessment device based on classification of landform, it is characterised in that including：Acquisition module, for obtaining the ground of each monitoring point in target plot in the region to be detected of each wind energy conversion system seat in the plane point Graphic data；First processing module, for the terrain data according to each monitoring point in each region to be detected, obtain each to be checked Survey the terrain type in region；Second processing module, for the terrain type according to each region to be detected and the wind regime number in each region to be detected According to the corresponding relation established between the terrain type and wind regime data in each region to be detected；Wind-resources assessment module, for according to the corresponding relation, wind-resources assessment to be carried out to plot to be assessed.
- 8. device according to claim 7, it is characterised in that the first processing module is specifically used for：According to the terrain data of each monitoring point in each region to be detected, the gradient distribution ratio in each region to be detected of calculating Rate, slope aspect distribution ratio, elevation distribution ratio and terrain roughness；According to the gradient distribution ratio in each region to be detected, slope aspect distribution ratio, elevation distribution ratio and terrain roughness, build The relief model in vertical each region to be detected；According to the relief model in each region to be detected, the terrain type in each region to be detected is obtained.
- 9. device according to claim 8, it is characterised in that the first processing module is specifically used for：The relief model in each region to be detected is classified according to default criteria for classification, obtains the ground in each region to be detected The type of shape model；According to the type of relief model and the corresponding relation of terrain type in each region to be detected, each region to be detected is obtained Terrain type；Wherein, the default criteria for classification includes terrain data scope corresponding to each terrain type.
- 10. device according to claim 9, it is characterised in that the default criteria for classification include it is following at least one ：In region to be detected the value of slope of monitoring point for the first default value monitoring point quantity in the region to be detected institute There is ratio shared in the quantity of monitoring point in the first preset range；In region to be detected the slope aspect value of monitoring point for the second default value monitoring point quantity in the region to be detected institute There is ratio shared in the quantity of monitoring point in the second preset range；In region to be detected the height value of monitoring point for the 3rd default value monitoring point quantity in the region to be detected institute There is ratio shared in the quantity of monitoring point in the 3rd preset range；The surface roughness in region to be detected is the 4th default value.
- 11. according to the device described in any one of claim 7 to 10, it is characterised in that also include：3rd processing module；The acquisition module is additionally operable to：Obtain the service data of each wind energy conversion system in the target plot；3rd processing module is used for：According to the terrain type in region to be detected corresponding to the service data of each wind energy conversion system and each wind energy conversion system, acquisition is each treated Corresponding relation between the terrain type and service data of detection zone.
- 12. according to the device described in any one of claim 7 to 11, it is characterised in that the region to be detected is set including center Determine area；Or the region to be detected includes center setting area and peripheral buffer；Wherein, the center sets region of the area to include wind energy conversion system seat in the plane point；The peripheral buffer is to be set with the center The peripheral boundary in area is determined for beginning boundary to the region of the Directional Extension away from wind energy conversion system seat in the plane point.
- A kind of 13. wind-resources assessment system based on classification of landform, it is characterised in that including：As claim 7-12 is any one Device and terrain data plotting board described in, wherein,Terrain data plotting board, for each monitoring in target plot in the region to be detected of each wind energy conversion system seat in the plane point The terrain data of point is surveyed and drawn, and the terrain data is sent into the device described in claim 7-12 any one.
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