CN109299495A - A kind of microcosmic intelligent cloth machine method of wind power plant - Google Patents
A kind of microcosmic intelligent cloth machine method of wind power plant Download PDFInfo
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The present invention relates to a kind of microcosmic intelligent cloth machine methods of wind power plant, generate the gradient and waviness first with DEM；With gradient combination waviness, landform is divided into flat and complicated two classes landform；Then it is directed to two kinds of landform respectively, carries out personality analysis and design, building respectively corresponds the blower cloth machine scheme of different terrain；This method cloth machine microcosmic for wind power plant is whole intelligent, is not necessarily to manual decision, improves the accuracy of blower laying, while quickly and simply selecting optimal cloth seat in the plane and setting.
Description
Technical field
The present invention relates to a kind of microcosmic intelligent cloth machine methods of wind power plant, belong to classification of landform field and ground and learn addressing technique neck
Domain.
Background technique
The energy is to provide the physical resources of energy, and wind energy is exactly one of such natural energy resources.Wind energy is the sun
Can a kind of reformulations on earth, be a kind of reproducible energy for not generating any disposal of pollutants.Wind-power electricity generation is can
There is huge development prospect in the utilization of the renewable sources of energy, and preliminary engineering of the wind farm siting as Construction of Wind Power project,
Success or failure to wind power plant construction and its benefit from now on play a crucial role.So with wind generating technology
Development, seem ever more important to the research of wind farm siting.
Wind power plant microcosmic structure be on the basis of macroscopical addressing, consider built in advance wind power plant at wind energy resources, manage bar
The process of part and blower layout.Domestic and foreign scholars have carried out a large amount of research, Mosetti et al. to Layout's problem of blower
Among the research that 1994 are introduced into genetic algorithm wind power plant optimization problem for the first time；Saavedra-Moreno et al. is using kind
Sub- optimization algorithm has studied the wind energy conversion system addressing in wind power plant, and considers influence of the hypsography to wind speed；Rodman et al.
Using the method for spatial analysis in GIS, the wind energy conversion system microcosmic structure problem of northern California is had studied；Serwan M.J Babana etc.
People has studied the microcosmic structure problem of Britain's wind power plant using the composite index law based on GIS；Old love etc. is using based on calculating stream
Mechanics (CFD) method for numerical simulation, simulates Three dimensional Turbulent of the Flow over mountain in the complicated landform of low latitude, final to determine
The optimum position of wind energy conversion system installation；Xuchang et al. uses Jensen wake model and Lissaman wake model, passes through improvement
Floating point values coding genetic, wind energy conversion system addressing is studied.
With deepening continuously for wind power resources exploitation, the landform of wind power plant becomes increasingly complex, and to the microcosmic choosing of complicated landform
The research achievement of wind turbine layout is actually rare when location.For current most of research method just for level terrain, when addressing, is past
It, cannot be simply by level terrain for complicated landforms such as mountain area, massifs toward complicated landform and level terrain lump together
Principle determines blower position, and Many researchers are divided into level terrain and intricately there is no before wind turbine layout, by survey region
Two class landform of shape, different site-choosing principles is selected for different landform, causes blower addressing inaccuracy, blower real work
It falls flat.
Summary of the invention
New concept is used technical problem to be solved by the invention is to provide a kind of, comprehensively considers level terrain and complexity
Landform, and corresponding rational solution is formulated respectively, the microcosmic intelligent cloth of wind power plant that blower lays accuracy can be effectively improved
Machine method.
In order to solve the above-mentioned technical problem the present invention uses following technical scheme: it is microcosmic that the present invention devises a kind of wind power plant
Intelligent cloth machine method operates for realizing the cloth machine of target area wind power plant, includes the following steps:
Step A. is based on the original dem data image in target area, obtains target area landform waviness data and target
Region terrain slope data, subsequently into step B；
Step B. is based on default topographic relief amplitude threshold value and default terrain slope threshold value, by level terrain and except flat
The division methods of complicated landform outside landform carry out Partition Analysis for the landform in target area, and enter step C；
If only including level terrain region in the target area step C., D is entered step；If only comprising multiple in target area
Miscellaneous shaped area, then enter step F；If in target area simultaneously including level terrain region and complex topographic territory, simultaneously
Respectively enter step D and step F；
Step D. obtains the space-time characteristic of target area wind field data, and utilizes average u component and average v in wind field data
The positive contact transformation of component obtains wind direction angle, so that the prevailing wind direction of target area is obtained, subsequently into step E；Wherein, u and v
Respectively represent default two orthogonal geographic directions；
Step E. is according to the level terrain region dem data in target area, the prevailing wind direction in combining target region, for
Level terrain region in target area carries out the cloth machine operation of wind power plant；
Step F. obtains the ridge area of complex topographic territory in target area according to the original dem data image in target area
Domain；Meanwhile according to the original dem data image in target area, the mountain apex region of complex topographic territory in target area is obtained, so
After enter step G；
Step G. presses default wind speed threshold value and wind power concentration threshold value, based on the wind speed and wind in the wind field data of target area
Power density determines the optimal wind energy resource area of complex topographic territory in target area, subsequently into step H；
Step H. is based on the ridge region of complex topographic territory, mountain apex region in target area, in target area
The cloth machine operation in the ridge region of optimal wind energy resource area, mountain apex region progress wind power plant in complex topographic territory.
As a preferred technical solution of the present invention, in the step A, using mean change-point analytic approach, first is obtained
Optimum size window, and it is based on the first optimum size window, for the original dem data image in target area, obtain target area
Topographic relief amplitude data and target area landform Gradient.
As a preferred technical solution of the present invention, the step A includes the following steps:
Step A1. is based respectively on each pre-set dimension window, using ArcMap apply in spatial analysis module, obtain target
The topographic relief amplitude of each the window's position in region, and then acquisition target area respectively corresponds under each pre-set dimension window, each window
The sequence of position topographic relief amplitude composition, subsequently into step A2；
Step A2. be directed to respectively target area correspond under each pre-set dimension window, hypsography degree series, asked by average value
It follows the example of, the hypsography angle value that target area respectively corresponds each pre-set dimension window is obtained, subsequently into step A3；
Step A3. according to each pre-set dimension window from small to large sequence, respectively correspond each pre-set dimension for target area
The hypsography angle value of window is ranked up, and constitutes sequence { xi, i ∈ { 1 ..., N }, N indicates the number of each pre-set dimension window
Amount, xiIndicate based in each pre-set dimension window from small to large sequence, the landform of corresponding i-th of the pre-set dimension window in target area
Fluctuating angle value, subsequently into step A4；
Range of the step A4. based on variable i, for sequence { xi, x is obtained respectively1、…、xi-1Average value xi1, and
Obtain xi-1、…、xNAverage value xi2, subsequently into step A5；
Step A5. is according to the following formula:
Obtain each SiValue, subsequently into step A6；
Step A6. is based on each pre-set dimension window sequence from small to large, obtains S2、…、SNCorresponding to middle minimum value subscript
Pre-set dimension window, as the first optimum size window, subsequently into step A7；
Step A7. is by the hypsography angle value of the corresponding first optimum size window in target area, as target area landform
Waviness data, meanwhile, be based on the first optimum size window, using ArcMap apply in spatial analysis in gradient module, obtain
Obtain target area landform Gradient.
As a preferred technical solution of the present invention, in the step D, application experience orthogonal function analytic approach is obtained
The space-time characteristic of target area wind field data, and obtained using the positive contact transformation of u component average in wind field data and average v component
Wind direction angle, to obtain the Sheng of target area to wind direction, subsequently into step E；Wherein, u and v respectively represents default two phases
Mutually vertical geographic direction.
As a preferred technical solution of the present invention, the step E includes the following steps:
Step E1. turns tool vector using the grid in ArcMap application, by the level terrain region DEM in target area
Data are converted to a vector polygon, subsequently into step E2；
Step E2. acquires vector polygon using minimum boundary geometry module in data organizing tool in ArcMap application
Minimum circumscribed rectangle, subsequently into step E3；
Step E3. obtains the apex coordinate of minimum circumscribed rectangle, using ArcMap apply in fishing net tool, by default single
First lattice size generates the fishing net of minimum circumscribed rectangle corresponding to level terrain region in coverage goal region, subsequently into step
E4；
Step E4. calculates the symbol direction of blower, and be based on minimum circumscribed rectangle institute according to the prevailing wind direction of target area
Each grid of corresponding fishing net, interlacing or line by line setting blower placement location, subsequently into step E5；
Step E5. deletes the blower placement location fallen in outside vector polygon corresponding to target area, updates and obtains target
The blower placement location in level terrain region in region, and then realize the cloth of progress wind power plant in level terrain region in target area
Machine operation.
As a preferred technical solution of the present invention, in the step E4, according to the prevailing wind direction of target area, by such as
Lower rule realizes the arranged distribution of blower placement location；
If the prevailing wind direction of target area is single direction, the arranged distribution of blower placement location is matrix form point
Cloth, and the orientation of each blower and prevailing wind direction are perpendicular and front two rows is interlocked；
If the prevailing wind direction of target area is non-single direction, the arranged distribution of blower placement location is to arrange row
Or it is staggered.
As a preferred technical solution of the present invention, in the step F, according to default slope position type, for target area
The original dem data image in domain obtains the ridge region of complex topographic territory in target area using clustering algorithm.
As a preferred technical solution of the present invention, in the step F, using following steps, obtain in target area
The mountain apex region of complex topographic territory；
Step F21. uses mean change-point analytic approach, is based on window analysis maximum value, by obtaining in each pre-set dimension window
Second optimum size window, and enter step F22；
Step F22. is using focus statistical module in the neighbor analysis in ArcMap application, in conjunction with the second optimum size window
Mouthful, handled for the original dem data image in target area, obtain treated target area dem data image, then into
Enter step F23；
F23. using the raster symbol-base device module in map algebra, target area dem data image and target area are extracted
The equal point of numerical value between original dem data image, these points are mountain apex region, i.e. complicated landform in acquisition target area
The mountain apex region in region.
As a preferred technical solution of the present invention, the step H includes the following steps:
Ridge region and mountain apex region of the step H1. for complex topographic territory in target area, carry out map overlay,
Intersecting area is the best shaped area of complex topographic territory in target area, subsequently into step H2；
Optimal wind energy resource area and best shaped area of the step H2. for complex topographic territory in target area, into
Row map overlay, the region of intersection are that the blower of complex topographic territory in target area lays optimum position, and then carries out wind
The cloth machine of electric field operates.
A kind of microcosmic intelligent cloth machine method of wind power plant of the present invention, compared with the prior art by using the above technical solution,
It has following technical effect that
A kind of microcosmic intelligent cloth machine method of wind power plant of the present invention, generates the gradient and waviness first with DEM；With slope
Degree combines waviness, and landform is divided into flat and complicated two classes landform；Then it is directed to two kinds of landform respectively, carries out personality analysis
With design, building respectively corresponds the blower cloth machine scheme of different terrain；This method cloth machine microcosmic for wind power plant is whole intelligent,
Without manual decision, the accuracy of blower laying is improved, while quickly and simply selecting optimal cloth seat in the plane and setting.
Detailed description of the invention
Fig. 1 is the flow diagram of the microcosmic intelligent cloth machine method of wind power plant designed by the present invention；
Fig. 2 is blower arrangement architecture schematic diagram under level terrain, single direction prevailing wind direction prevailing；
Fig. 3 a, Fig. 3 b are blower arrangement architecture schematic diagrames under level terrain, non-single direction prevailing wind direction prevailing；
Fig. 4 is the schematic diagram of complicated landform application design method of the present invention in embodiment；
Fig. 5 is the schematic diagram of level terrain application design method of the present invention in embodiment.
Specific embodiment
Specific embodiments of the present invention will be described in further detail with reference to the accompanying drawings of the specification.
As shown in Figure 1, the present invention devises a kind of microcosmic intelligent cloth machine method of wind power plant, for realizing target area wind-powered electricity generation
The cloth machine operation of field, includes the following steps:
Step A. uses mean change-point analytic approach, obtains the first optimum size window, and be based on the first optimum size window,
For the original dem data image in target area, target area landform waviness data and target area landform slope number are obtained
According to subsequently into step B.
Above-mentioned steps A in practical applications, specifically comprises the following steps:
Step A1. is based respectively on each pre-set dimension window, using ArcMap apply in spatial analysis module, obtain target
The topographic relief amplitude of each the window's position in region, and then acquisition target area respectively corresponds under each pre-set dimension window, each window
The sequence of position topographic relief amplitude composition, subsequently into step A2.
In practical application, for each pre-set dimension window such as using 3 × 3,5 × 5,7 × 7 ..., moving step pitch 2 terminates window
Mouth is 30 × 30.
Step A2. be directed to respectively target area correspond under each pre-set dimension window, hypsography degree series, asked by average value
It follows the example of, the hypsography angle value that target area respectively corresponds each pre-set dimension window is obtained, subsequently into step A3.
Step A3. according to each pre-set dimension window from small to large sequence, respectively correspond each pre-set dimension for target area
The hypsography angle value of window is ranked up, and constitutes sequence { xi, i ∈ { 1 ..., N }, N indicates the number of each pre-set dimension window
Amount, xiIndicate based in each pre-set dimension window from small to large sequence, the landform of corresponding i-th of the pre-set dimension window in target area
Fluctuating angle value, subsequently into step A4.
Range of the step A4. based on variable i, for sequence { xi, x is obtained respectively1、…、xi-1Average value xi1, and
Obtain xi-1、…、xNAverage value xi2, subsequently into step A5.
Step A5. is according to the following formula:
Obtain each SiValue, subsequently into step A6.
Step A6. is based on each pre-set dimension window sequence from small to large, obtains S2、…、SNCorresponding to middle minimum value subscript
Pre-set dimension window, as the first optimum size window, subsequently into step A7.
Step A7. is by the hypsography angle value of the corresponding first optimum size window in target area, as target area landform
Waviness data, meanwhile, be based on the first optimum size window, using ArcMap apply in spatial analysis in gradient module, obtain
Obtain target area landform Gradient.
Step B. is based on default topographic relief amplitude threshold value and default terrain slope threshold value, by level terrain and except flat
The division methods of complicated landform outside landform carry out Partition Analysis for the landform in target area, and enter step C.
If only including level terrain region in the target area step C., D is entered step；If only comprising multiple in target area
Miscellaneous shaped area, then enter step F；If in target area simultaneously including level terrain region and complex topographic territory, simultaneously
Respectively enter step D and step F.
Step D. application experience orthogonal function analytic approach obtains the space-time characteristic of target area wind field data, and utilizes wind
The positive contact transformation of average u component and average v component obtains wind direction angle in field data, to obtain the prevailling wind of target area
To subsequently into step E；Wherein, u and v respectively represents default two orthogonal geographic directions.
Step E. is according to the level terrain region dem data in target area, the prevailing wind direction in combining target region, for
Level terrain region in target area carries out the cloth machine operation of wind power plant.
In above-mentioned steps E application, specifically comprise the following steps:
Step E1. turns tool vector using the grid in ArcMap application, by the level terrain region DEM in target area
Data are converted to a vector polygon, subsequently into step E2.
Step E2. acquires vector polygon using minimum boundary geometry module in data organizing tool in ArcMap application
Minimum circumscribed rectangle, subsequently into step E3.
Step E3. obtains the apex coordinate of minimum circumscribed rectangle, using ArcMap apply in fishing net tool, by default single
First lattice size generates the fishing net of minimum circumscribed rectangle corresponding to level terrain region in coverage goal region, subsequently into step
E4。
Step E4. calculates the symbol direction of blower, and be based on minimum circumscribed rectangle institute according to the prevailing wind direction of target area
Each grid of corresponding fishing net, interlacing or line by line setting blower placement location, subsequently into step E5.
Specifically, in step E4, according to the prevailing wind direction of target area, according to the following rules, blower placement location is realized
Arranged distribution.
If the prevailing wind direction of target area is single direction, as shown in Fig. 2, the arranged distribution of blower placement location is
Matrix form distribution, and the orientation of each blower and prevailing wind direction are perpendicular and front two rows is interlocked.
If the prevailing wind direction of target area is non-single direction, as shown in Figure 3a and Figure 3b shows, then blower placement location
Arranged distribution is that row is arranged or is staggered.
Step E5. deletes the blower placement location fallen in outside vector polygon corresponding to target area, updates and obtains target
The blower placement location in level terrain region in region, and then realize the cloth of progress wind power plant in level terrain region in target area
Machine operation.
Step F. is obtained according to default slope position type, for the original dem data image in target area using clustering algorithm
The ridge region of complex topographic territory in target area, here specifically can apply number of patent application 201810550983.4, one
The ridge region of complex topographic territory obtains in the clustering method realization target area that kind landform slope position is classified adaptive.
Meanwhile target area is obtained using following steps F21 to step F23 according to the original dem data image in target area
The mountain apex region of complex topographic territory in domain, subsequently into step G.
Step F21. uses mean change-point analytic approach, is based on window analysis maximum value, by obtaining in each pre-set dimension window
Second optimum size window, and enter step F22.
Step F22. is using focus statistical module in the neighbor analysis in ArcMap application, in conjunction with the second optimum size window
Mouthful, handled for the original dem data image in target area, obtain treated target area dem data image, then into
Enter step F23.
F23. using the raster symbol-base device module in map algebra, target area dem data image and target area are extracted
The equal point of numerical value between original dem data image, these points are mountain apex region, i.e. complicated landform in acquisition target area
The mountain apex region in region.
Step G. presses default wind speed threshold value and wind power concentration threshold value, based on the wind speed and wind in the wind field data of target area
Power density determines the optimal wind energy resource area of complex topographic territory in target area, subsequently into step H.
Step H. is based on the ridge region of complex topographic territory, mountain apex region in target area, in target area
The cloth machine operation in the ridge region of optimal wind energy resource area, mountain apex region progress wind power plant in complex topographic territory, specifically
Include the following steps:
Ridge region and mountain apex region of the step H1. for complex topographic territory in target area, carry out map overlay,
Intersecting area is the best shaped area of complex topographic territory in target area, subsequently into step H2.
Optimal wind energy resource area and best shaped area of the step H2. for complex topographic territory in target area, into
Row map overlay, the region of intersection are that the blower of complex topographic territory in target area lays optimum position, and then carries out wind
The cloth machine of electric field operates.
The above-mentioned designed microcosmic intelligent cloth machine method of wind power plant is applied in specific embodiment, then as shown in Figure 4, Figure 5,
Complicated landform, the blower layout position illustration of level terrain in corresponding embodiment are obtained respectively.
Embodiments of the present invention are explained in detail above in conjunction with attached drawing, but the present invention is not limited to above-mentioned implementations
Mode within the knowledge of a person skilled in the art can also be without departing from the purpose of the present invention
It makes a variety of changes.
Claims (9)
1. a kind of microcosmic intelligent cloth machine method of wind power plant, operates for realizing the cloth machine of target area wind power plant, which is characterized in that
Include the following steps:
Step A. is based on the original dem data image in target area, obtains target area landform waviness data and target area
Terrain slope data, subsequently into step B；
Step B. is based on default topographic relief amplitude threshold value and default terrain slope threshold value, by level terrain and removes level terrain
The division methods of outer complicated landform carry out Partition Analysis for the landform in target area, and enter step C；
If only including level terrain region in the target area step C., D is entered step；If only comprising intricately in target area
Shape region, then enter step F；If in target area simultaneously including level terrain region and complex topographic territory, simultaneously respectively
Enter step D and step F；
Step D. obtains the space-time characteristic of target area wind field data, and utilizes u component average in wind field data and average v component
Positive contact transformation obtain wind direction angle, so that the prevailing wind direction of target area is obtained, subsequently into step E；Wherein, u and v difference
It represents and presets two orthogonal geographic directions；
Step E. is according to the level terrain region dem data in target area, the prevailing wind direction in combining target region, for target
Level terrain region in region carries out the cloth machine operation of wind power plant；
Step F. obtains the ridge region of complex topographic territory in target area according to the original dem data image in target area；Together
When, according to the original dem data image in target area, obtain the mountain apex region of complex topographic territory in target area, then into
Enter step G；
Step G. presses default wind speed threshold value and wind power concentration threshold value, based on the wind speed and wind power in the wind field data of target area
Density determines the optimal wind energy resource area of complex topographic territory in target area, subsequently into step H；
Step H. is based on the ridge region of complex topographic territory, mountain apex region in target area, for complicated in target area
The cloth machine operation in the ridge region of optimal wind energy resource area, mountain apex region progress wind power plant in shaped area.
2. a kind of microcosmic intelligent cloth machine method of wind power plant according to claim 1, which is characterized in that in the step A, use
Mean change-point analytic approach obtains the first optimum size window, and is based on the first optimum size window, original for target area
Dem data image obtains target area landform waviness data and target area landform Gradient.
3. a kind of microcosmic intelligent cloth machine method of wind power plant according to claim 2, which is characterized in that the step A includes such as
Lower step:
Step A1. is based respectively on each pre-set dimension window, using ArcMap apply in spatial analysis module, obtain target area
In each the window's position topographic relief amplitude, and then obtain target area respectively correspond under each pre-set dimension window, each the window's position
The sequence of topographic relief amplitude composition, subsequently into step A2；
Step A2. be directed to respectively target area correspond under each pre-set dimension window, hypsography degree series, sought by average value
Method obtains the hypsography angle value that target area respectively corresponds each pre-set dimension window, subsequently into step A3；
Step A3. according to each pre-set dimension window from small to large sequence, respectively correspond each pre-set dimension window for target area
Hypsography angle value be ranked up, constitute sequence { xi, i ∈ { 1 ..., N }, N indicates the quantity of each pre-set dimension window, xiTable
Show based in each pre-set dimension window from small to large sequence, the topographic relief amplitude of corresponding i-th of the pre-set dimension window in target area
Value, subsequently into step A4；
Range of the step A4. based on variable i, for sequence { xi, x is obtained respectively1、…、xi-1Average value xi1, and obtain
xi-1、…、xNAverage value xi2, subsequently into step A5；
Step A5. is according to the following formula:
Obtain each SiValue, subsequently into step A6；
Step A6. is based on each pre-set dimension window sequence from small to large, obtains S2、…、SNIt is preset corresponding to middle minimum value subscript
Size window, as the first optimum size window, subsequently into step A7；
Step A7. rises and falls the hypsography angle value of the corresponding first optimum size window in target area as target area landform
Degree evidence, meanwhile, be based on the first optimum size window, using ArcMap apply in spatial analysis in gradient module, obtain mesh
Mark region terrain slope data.
4. a kind of microcosmic intelligent cloth machine method of wind power plant according to claim 1, which is characterized in that in the step D, application
Experimental orthogonal function analysis method, obtains the space-time characteristic of target area wind field data, and using u component average in wind field data and
The positive contact transformation of average v component obtains wind direction angle, to obtain the Sheng of target area to wind direction, subsequently into step E；Its
In, u and v respectively represent default two orthogonal geographic directions.
5. a kind of microcosmic intelligent cloth machine method of wind power plant according to claim 1, which is characterized in that the step E includes such as
Lower step:
Step E1. turns tool vector using the grid in ArcMap application, by the level terrain region dem data in target area
A vector polygon is converted to, subsequently into step E2；
Step E2. acquires vector polygon most using minimum boundary geometry module in data organizing tool in ArcMap application
Small boundary rectangle, subsequently into step E3；
Step E3. obtains the apex coordinate of minimum circumscribed rectangle, using ArcMap apply in fishing net tool, by default cell
Size generates the fishing net of minimum circumscribed rectangle corresponding to level terrain region in coverage goal region, subsequently into step E4；
Step E4. calculates the symbol direction of blower, and based on corresponding to minimum circumscribed rectangle according to the prevailing wind direction of target area
Each grid of fishing net, interlacing or line by line setting blower placement location, subsequently into step E5；
Step E5. deletes the blower placement location fallen in outside vector polygon corresponding to target area, updates and obtains target area
The blower placement location in middle level terrain region, and then the cloth machine for realizing that level terrain region carries out wind power plant in target area is grasped
Make.
6. a kind of microcosmic intelligent cloth machine method of wind power plant according to claim 5, which is characterized in that in the step E4, root
According to the prevailing wind direction of target area, according to the following rules, the arranged distribution of blower placement location is realized；
If the prevailing wind direction of target area is single direction, the arranged distribution of blower placement location is matrix form distribution, and
The orientation of each blower and prevailing wind direction are perpendicular and front two rows is interlocked；
If the prevailing wind direction of target area is non-single direction, the arranged distribution of blower placement location be to row arrangement or
It is staggered.
7. a kind of microcosmic intelligent cloth machine method of wind power plant according to claim 1, which is characterized in that in the step F, according to
Default slope position type obtains complicated landform in target area using clustering algorithm for the original dem data image in target area
The ridge region in region.
8. a kind of microcosmic intelligent cloth machine method of wind power plant according to claim 1, which is characterized in that in the step F, use
Following steps obtain the mountain apex region of complex topographic territory in target area；
Step F21. uses mean change-point analytic approach, is based on window analysis maximum value, by obtaining second in each pre-set dimension window
Optimum size window, and enter step F22；
Step F22. is using focus statistical module in the neighbor analysis in ArcMap application, in conjunction with the second optimum size window, needle
The original dem data image in target area is handled, treated target area dem data image is obtained, subsequently into step
Rapid F23；
F23. it using the raster symbol-base device module in map algebra, extracts target area dem data image and target area is original
The equal point of numerical value between dem data image, these points are mountain apex region, i.e. complex topographic territory in acquisition target area
Mountain apex region.
9. a kind of microcosmic intelligent cloth machine method of wind power plant according to claim 1, which is characterized in that the step H includes such as
Lower step:
Ridge region and mountain apex region of the step H1. for complex topographic territory in target area, carry out map overlay, intersection
Region is the best shaped area of complex topographic territory in target area, subsequently into step H2；
Optimal wind energy resource area and best shaped area of the step H2. for complex topographic territory in target area, carry out figure
Layer superposition, the region of intersection are that the blower of complex topographic territory in target area lays optimum position, and then carries out wind power plant
Cloth machine operation.
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