CN108564285A - A kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution - Google Patents
A kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution Download PDFInfo
- Publication number
- CN108564285A CN108564285A CN201810348631.0A CN201810348631A CN108564285A CN 108564285 A CN108564285 A CN 108564285A CN 201810348631 A CN201810348631 A CN 201810348631A CN 108564285 A CN108564285 A CN 108564285A
- Authority
- CN
- China
- Prior art keywords
- photovoltaic
- thiessen polygon
- discrete point
- triangle
- resource distribution
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
- G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- 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
- 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
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- 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 invention discloses a kind of evaluation methods based on Thiessen polygon photovoltaic generation resource distribution, it is characterised in that：Including step：Step 1：Draw the discrete point of the whole province's photovoltaic plant；Step 2：Delaunay triangulation network is built according to photovoltaic plant discrete point；Step 3：Thiessen polygon is drawn according to Delaunay triangulation network, region division is carried out to photovoltaic plant；Step 4, the Thiessen polygon estimation area photovoltaic efficiency constituted according to the discrete point of photovoltaic plant, i.e. photovoltaic generation resource distribution.The present invention is distributed by photovoltaic efficiency come the photovoltaic resources of estimation area, compared with meteorological equipment estimation photovoltaic resources distribution, it can exclude influence of the meteorologic factor to estimation result, the region photovoltaic resource distribution information finally obtained is more accurate, plays the role of effective data supporting to new energy photovoltaic plant construction from now on.
Description
Technical field
The present invention relates to photovoltaic power station generation assets distribution estimation fields, and in particular to one kind is polygon based on Tyson
The evaluation method of shape photovoltaic generation resource distribution.
Background technology
In recent years, fast-developing situation was presented in all kinds of power supplys including new energy, and market development is rapid, due to new
Energy power station is big to meteorological dependency degree, and fluctuation, randomness are big, it is made both to be difficult to reliable prediction or be difficult to formulate accurate power generation
Plan, produces electric network reliability and performance driving economy certain influence, wherein the distribution situation of photovoltaic resources is to photovoltaic
The construction and maintenance in power station play an important roll, and usually we calculate irradiation level using weather detection devices (irradiation level instrument), by
It is influenced by factors in the size of the presence of air, radiation energy, including altitude of the sun, air quality, atmospheric transparency, geography
Latitude, sunshine-duration and height above sea level, therefore by meteorological equipment estimation area photovoltaic resources, there are many uncertain factors, need
The data more to stablize estimate the distribution situation of photovoltaic resources, preferably to carry out construction and the maintenance workers of photovoltaic plant
Make.
We can use arithmetic mean method to previous zoning photovoltaic generation resource, that is, find out certain observation period interior prediction mesh
Estimated value of the arithmetic average of target time series as region photovoltaic resources is provided according to the experience of practical application in illumination
Result of calculation deviation is larger in the case of source distribution is non-uniform, and Thiessen polygon method is used to estimate photovoltaic efficiency, can be with
The even influence to result of calculation of illumination maldistribution of the resources is reduced, keeps data more accurate.
Invention content
To solve deficiency in the prior art, the present invention provides a kind of based on Thiessen polygon photovoltaic generation resource distribution
Evaluation method solves the problems, such as effectively estimate photovoltaic resources distribution situation at present.
In order to realize that above-mentioned target, the present invention adopt the following technical scheme that：One kind is provided based on Thiessen polygon photovoltaic generation
The evaluation method of source distribution, it is characterised in that：Including step：
Step 1：Draw the discrete point of the whole province's photovoltaic plant；
Step 2：Delaunay triangulation network is built according to photovoltaic plant discrete point；
Step 3：Thiessen polygon is drawn according to Delaunay triangulation network, region division is carried out to photovoltaic plant；
Step 4, the Thiessen polygon estimation area photovoltaic efficiency constituted according to the discrete point of photovoltaic plant, i.e. photovoltaic
Generation assets are distributed.
A kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution above-mentioned, it is characterized in that：The step
1：The discrete point for drawing the whole province photovoltaic plant is specially：The whole province's photovoltaic plant coordinate points are obtained, are drawn on the whole province's map discrete
Point.
A kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution above-mentioned, it is characterized in that：The step
2：Delaunay triangulation network is built according to photovoltaic plant discrete point, specially：
For n photovoltaic plant discrete point, plane coordinates is (xi,yi), i=1,2,3 ..., n will be wherein close
3 points composition Delaunay triangles, make each discrete point become vertex of a triangle, connect Delaunay triangles, to the greatest extent
Three interior angles of triangle may be made at an acute angle.
A kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution above-mentioned, it is characterized in that：The step
3：Thiessen polygon is drawn according to Delaunay triangulation network, region division is carried out to photovoltaic plant, specially：
Step 3-1 records each triangle and is made of which three discrete point；
Step 3-2, find out the number and record of all triangles adjacent with each discrete point, that is, is building
All triangles with same vertices are found out in Delaunay triangulation network；
Step 3-3 finds out a triangle A using o as vertex if discrete point is o, and A is taken in addition to connect a top in addition to o
Point is set as a, f；Then next triangle is necessarily using of as side, and the another summit of as triangle F, triangle F are e, then
Next triangle is using oe as side；A circle is repeated, until returning to the sides oa；
Step 3-4 calculates the circumcenter of each triangle, according to the adjacent triangle of each discrete point, connects these
The circumscribed circle center of circle of triangle, obtains Thiessen polygon, for the Thiessen polygon of triangle network edge, does perpendicular bisector and figure
Exterior feature intersection, constitutes Thiessen polygon together with mapborder.
A kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution above-mentioned, it is characterized in that：The step
4, according to the discrete point of photovoltaic plant constitute Thiessen polygon estimation area photovoltaic efficiency, the specific steps are：
Step 4-1, according to the irradiance data that the weather monitoring device of single photovoltaic plant obtains, in conjunction with its actual power work(
Rate estimates single Thiessen polygon photovoltaic efficiency；
Step 4-2, according to the multiple Thiessen polygons for including in region, zoning photovoltaic efficiency, you can estimation
Obtain region M photovoltaic generation resource distribution situations：
A kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution above-mentioned, it is characterized in that：The estimation
Individually Thiessen polygon photovoltaic efficiency is specially：
Assuming that there is a photovoltaic plant in Thiessen polygon, it is denoted as PVS, the average daily radiation of the weather monitoring device record of PVS
Amount is E (MJ/m2), PVS floor space S (m2), the generated output P (KW/H) of PVS；
The generating efficiency of PVS is：The generating efficiency of i.e. single Thiessen polygon.
A kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution above-mentioned, it is characterized in that：The basis
The multiple Thiessen polygons for including in region, zoning photovoltaic efficiency, specially：
By Thiessen polygon by region division be several blocks, block J generating efficiencies VPJ=(Tyson where block J is more
The generating efficiency P of side shapeJ) * (Thiessen polygon where block J and Thiessen polygon where the intersecting area CPIJ/J blocks of region
Area SS), i.e.,：Intersection block generating efficiency is calculated successively plus polygon comprising Tyson in the zone
The generating efficiency of shape finally obtains the photovoltaic efficiency in region.
The advantageous effect that the present invention is reached：The present invention is distributed by photovoltaic efficiency come the photovoltaic resources of estimation area, with
Compared with meteorological equipment estimation photovoltaic resources distribution, influence of the meteorologic factor to estimation result, the area finally obtained can be excluded
Domain photovoltaic resources distributed intelligence is more accurate, plays the role of effective data supporting to new energy photovoltaic plant construction from now on.
Description of the drawings
Fig. 1 is the method for the present invention flow chart；
Fig. 2 is structure Delaunay triangulation network schematic diagram；
Fig. 3 is that Thiessen polygon draws schematic diagram；
Fig. 4 is that region M and Thiessen polygon divide schematic diagram.
Specific implementation mode
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention
Technical solution, and not intended to limit the protection scope of the present invention.
As shown in Figure 1, a kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution, including step：
Step 1：Draw the discrete point of the whole province's photovoltaic plant；
The whole province's photovoltaic plant coordinate points are obtained, discrete point is drawn on the whole province's map；
Step 2：Delaunay triangulation network is built according to photovoltaic plant discrete point；
The structure of Delaunay triangulation network is also referred to as the structure of irregular triangle network, is to build triangle by discrete data point
Net, discrete data point are the data points built according to photovoltaic plant, and for n discrete point in plane, plane coordinates is
(xi,yi), i=1,2,3 ..., n, will wherein similar 3 points constitute best triangles, so that each discrete point is become three
Angular vertex；
Delaunay triangles are connected, as make three interior angles of triangle at an acute angle as possible, as shown in Fig. 2, Delaunay
The triangulation network is formed by Delaunay triangles number, such as：1,2,8；2,8,3；3,8,7；.....；
The formation of Delaunay triangles meets following criterion：
1) cannot include any other discrete point in the circumscribed circle of any one Delaunay triangle；
2) two neighboring Delaunay triangulars are at convex quadrangle, after the diagonal line for exchanging convex quadrangle, six
The reckling of interior angle no longer increases；
Step 3：Thiessen polygon (Voronoi X-Y schemes) is drawn, effective region division is carried out to photovoltaic plant；
Step 3-1 numbers the triangle of discrete point and formation, and recording each triangle is made of which three discrete point
's；
Step 3-2 finds out the number and record of all triangles adjacent with each discrete point, and practical is exactly to build
The triangulation network find out all triangles with same vertices；
Step 3-3 finds out a triangle A using o as vertex if discrete point is o, and A is taken in addition to connect a top in addition to o
Point is set as a, f；Then next triangle is necessarily using of as side, and the another summit of as triangle F, triangle F are e, then
Next triangle is using oe as side；A circle is repeated, until returning to the sides oa；As shown in Figure 3；
Step 3-4 calculates the circumcenter of each triangle, according to the adjacent triangle of each discrete point, connects these
The circumscribed circle center of circle of triangle can do perpendicular bisector to get to Thiessen polygon for the Thiessen polygon of triangle network edge
Intersect with mapborder, Thiessen polygon is constituted together with mapborder, as shown in Figure 4.
Step 4, the Thiessen polygon estimation area photovoltaic generation resource distribution constituted according to the discrete point of photovoltaic plant；
Step 4-1, single Thiessen polygon photovoltaic efficiency estimation；
The irradiance data obtained according to the weather monitoring device of single photovoltaic plant is obtained in conjunction with its actual generation power
Photovoltaic efficiency.
Assuming that：There is a photovoltaic plant in Thiessen polygon, is denoted as PVS, the average daily radiation of the weather monitoring device record of PVS
Amount is E (MJ/m2), PVS floor space S (m2), the generated output P (KW/H) of PVS；
The generating efficiency of PVS is：The generating efficiency of i.e. single Thiessen polygon；
Step 4-2, region photovoltaic efficiency calculate；
Usually our calculative region photovoltaic resources are all irregular areas, such as a county, a city, zoning
Interior includes multiple Thiessen polygons, as shown in figure 4, heavy line represents the region M for needing to estimate, what dotted line divided is each Tyson
The generating efficiency of polygon, single Thiessen polygon can be obtained by step 4-1；
Region M is divided into several blocks by Thiessen polygon, as shown in Figure 4.
By taking J blocks as an example, J block generating efficiencies VPJ=(the generating efficiency P of Thiessen polygon where J blocksJ) * (J blocks
The area SS of place Thiessen polygon and Thiessen polygon where the M intersecting area CPIJ/J blocks of region)
I.e.：
Intersection block generating efficiency { VP is calculated successivelyJ, VPK, VPL, VPO, VPN, VPG, VPQPlus included in region M
Thiessen polygon H, I generating efficiency { VPH, VPIFinally obtaining the photovoltaic efficiency of region M, i.e. estimation obtains region M
Photovoltaic generation resource distribution situation.
The present invention is distributed by photovoltaic efficiency come the photovoltaic resources of estimation area, is divided with meteorological equipment estimation photovoltaic resources
Cloth compares, and can exclude influence of the meteorologic factor to estimation result, and the region photovoltaic resource distribution information finally obtained is more accurate
Really, play the role of effective data supporting to new energy photovoltaic plant construction from now on.
Experiment shows：
At photovoltaic station, illumination patterns are more uniform, the photovoltaic calculated using Thiessen polygon method and arithmetic mean method
Generating efficiency result is not much different；When intense light irradiation occur in the extremely uneven , Do websites of illumination patterns, due to Thiessen polygon
Method with weight come the case where considering to be unevenly distributed, it is more reliable using the method for the present invention computational solution precision higher.
After building Thiessen polygon, calculates 16 photovoltaic station areas and weight and choose 16 photovoltaic value station each periods again
Photovoltaic value meteorological data, using Thiessen polygon method zoning photovoltaic efficiency and with using arithmetic mean method calculate knot
Fruit compares and analyzes, and result of calculation shows that the region photovoltaic value curvilinear motion that Thiessen polygon method and arithmetic mean method calculate becomes
Gesture is consistent but has larger difference in individual dates.Use Thiessen polygon method result of calculation for 8.8w within l days such as June, arithmetic average
Method result of calculation is 7.0w；From photovoltaic value Meteorological Data Analysis show this day area light according to spatial distribution uneven, 16 websites
Middle photovoltaic value maximum value is 54w, and minimum value is 0w.
June 30 used Thiessen polygon method result of calculation for 5.8w, and arithmetic mean method result of calculation is 4.3w；From photovoltaic
Value analysis shows that photovoltaic value maximum value is 25.5w in 16 websites and minimum value is 0.5w.Two kinds of algorithms occur difference compared with
Big reason is mainly that arithmetic mean method is similarly to be handled at each photovoltaic station, and Thiessen polygon rule considers
Each website is unevenly distributed i.e. each station weighted of situation, the case where for being unevenly distributed habit, using Thiessen polygon method meter
It calculates, as a result precision degree higher is more reliable.
The distribution of generation assets is estimated by practical photovoltaic efficiency, can effectively reducing the construction costs input, and one
The weather monitoring device and its system of a photovoltaic plant need to inject capital into about 450,000 yuan, and weather monitoring system is not configured in the whole province
Photovoltaic plant about 900 saves about 405,000,000 yuan of construction funds invested.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations
Also it should be regarded as protection scope of the present invention.
Claims (7)
1. a kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution, it is characterised in that：Including step：
Step 1：Draw the discrete point of the whole province's photovoltaic plant；
Step 2：Delaunay triangulation network is built according to photovoltaic plant discrete point；
Step 3：Thiessen polygon is drawn according to Delaunay triangulation network, region division is carried out to photovoltaic plant；
Step 4, the Thiessen polygon estimation area photovoltaic efficiency constituted according to the discrete point of photovoltaic plant,
That is photovoltaic generation resource distribution.
2. a kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution according to claim 1, feature
It is：The step 1：The discrete point for drawing the whole province photovoltaic plant is specially：The whole province's photovoltaic plant coordinate points are obtained, in the whole province's map
Upper drafting discrete point.
3. a kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution according to claim 1, feature
It is：The step 2：Delaunay triangulation network is built according to photovoltaic plant discrete point, specially：
For n photovoltaic plant discrete point, plane coordinates is (xi,yi), i=1,2,3 ..., n will wherein similar three
Point constitutes Delaunay triangles, and each discrete point is made to become vertex of a triangle, connects Delaunay triangles, as far as possible
Keep three interior angles of triangle at an acute angle.
4. a kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution according to claim 3, feature
It is：The step 3：Thiessen polygon is drawn according to Delaunay triangulation network, region division is carried out to photovoltaic plant, specially：
Step 3-1 records each triangle and is made of which three discrete point；
Step 3-2 finds out the number and record of all triangles adjacent with each discrete point, i.e., in the Delaunay built
All triangles with same vertices are found out in the triangulation network；
Step 3-3 finds out a triangle A using o as vertex if discrete point is o, and A is taken in addition to connect a vertex in addition to o, if
For a, f；Then for next triangle necessarily using of as side, the another summit of as triangle F, triangle F are e, then next
A triangle is using oe as side；A circle is repeated, until returning to the sides oa；
Step 3-4 calculates the circumcenter of each triangle, according to the adjacent triangle of each discrete point, connects these triangles
The circumscribed circle center of circle of shape, obtains Thiessen polygon, for the Thiessen polygon of triangle network edge, does perpendicular bisector and mapborder phase
It hands over, Thiessen polygon is constituted together with mapborder.
5. a kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution according to claim 1, feature
It is：The step 4 is specific to walk according to the Thiessen polygon estimation area photovoltaic efficiency that the discrete point of photovoltaic plant is constituted
Suddenly it is：
Step 4-1, according to the irradiance data that the weather monitoring device of single photovoltaic plant obtains, in conjunction with its actual generation power,
Estimate single Thiessen polygon photovoltaic efficiency；
Step 4-2, according to the multiple Thiessen polygons for including in region, zoning photovoltaic efficiency, you can estimation obtains
Region M photovoltaic generation resource distribution situations.
6. a kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution according to claim 5, feature
It is：It is described to estimate that single Thiessen polygon photovoltaic efficiency is specially：
Assuming that there is a photovoltaic plant in Thiessen polygon, it is denoted as PVS, the average daily amount of radiation of the weather monitoring device record of PVS is E
(MJ/m2), PVS floor space S (m2), the generated output P (KW/H) of PVS；
The generating efficiency of PVS is：The generating efficiency of i.e. single Thiessen polygon.
7. a kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution according to claim 5, feature
It is：It is described according to the multiple Thiessen polygons for including in region, zoning photovoltaic efficiency, specially：
By Thiessen polygon by region division be several blocks, block J generating efficiencies VPJ=(Thiessen polygon where block J
Generating efficiency PJ) (the faces of Thiessen polygon and Thiessen polygon where the intersecting area CPIJ/J blocks of region where block J *
Product SS), i.e.,：Intersection block generating efficiency is calculated successively and is added includes Thiessen polygon in the zone
Generating efficiency finally obtains the photovoltaic efficiency in region.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810348631.0A CN108564285A (en) | 2018-04-18 | 2018-04-18 | A kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810348631.0A CN108564285A (en) | 2018-04-18 | 2018-04-18 | A kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108564285A true CN108564285A (en) | 2018-09-21 |
Family
ID=63535428
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810348631.0A Pending CN108564285A (en) | 2018-04-18 | 2018-04-18 | A kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108564285A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109886593A (en) * | 2019-03-01 | 2019-06-14 | 天津城建大学 | A kind of ecological source based on Thiessen polygon ground optimization method |
| WO2021042829A1 (en) * | 2019-09-03 | 2021-03-11 | 南京华苏科技有限公司 | Neighbor cell planning method and device based on thiessen polygon |
| CN113127585A (en) * | 2019-12-31 | 2021-07-16 | 深圳云天励飞技术有限公司 | Recommendation method and device for address selection, electronic equipment and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104361228A (en) * | 2014-11-06 | 2015-02-18 | 中国科学院广州能源研究所 | New method for calculating terrestrial heat resource quantity of dry heat rock |
| CN106643783A (en) * | 2016-12-28 | 2017-05-10 | 国网天津市电力公司东丽供电分公司 | Shortest path Thiessen polygon-based electric vehicle charging station searching method |
| CN107895234A (en) * | 2017-11-20 | 2018-04-10 | 南京海兴电网技术有限公司 | A kind of power supply area recognition methods based on Distribution power network GIS |
-
2018
- 2018-04-18 CN CN201810348631.0A patent/CN108564285A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104361228A (en) * | 2014-11-06 | 2015-02-18 | 中国科学院广州能源研究所 | New method for calculating terrestrial heat resource quantity of dry heat rock |
| CN106643783A (en) * | 2016-12-28 | 2017-05-10 | 国网天津市电力公司东丽供电分公司 | Shortest path Thiessen polygon-based electric vehicle charging station searching method |
| CN107895234A (en) * | 2017-11-20 | 2018-04-10 | 南京海兴电网技术有限公司 | A kind of power supply area recognition methods based on Distribution power network GIS |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109886593A (en) * | 2019-03-01 | 2019-06-14 | 天津城建大学 | A kind of ecological source based on Thiessen polygon ground optimization method |
| WO2021042829A1 (en) * | 2019-09-03 | 2021-03-11 | 南京华苏科技有限公司 | Neighbor cell planning method and device based on thiessen polygon |
| CN113127585A (en) * | 2019-12-31 | 2021-07-16 | 深圳云天励飞技术有限公司 | Recommendation method and device for address selection, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Lin et al. | Spatiotemporal congestion-aware path planning toward intelligent transportation systems in software-defined smart city IoT | |
| Shaygan et al. | Spatial multi-objective optimization approach for land use allocation using NSGA-II | |
| Wang et al. | Efficient point coverage in wireless sensor networks | |
| Zhou et al. | 2.5 d dual contouring: A robust approach to creating building models from aerial lidar point clouds | |
| Vermeulen et al. | Urban layout optimization framework to maximize direct solar irradiation | |
| CN108564285A (en) | A kind of evaluation method based on Thiessen polygon photovoltaic generation resource distribution | |
| Ai et al. | A vector field model to handle the displacement of multiple conflicts in building generalization | |
| CN106600617A (en) | Method of extracting building contour line from Lidar point cloud data based on curvature | |
| CN112099627B (en) | City design virtual reality instant interaction platform based on artificial intelligence | |
| Liao et al. | Watershed delineation on a hexagonal mesh grid | |
| Chang et al. | Legible simplification of textured urban models | |
| Ackerman et al. | Computational modeling for climate change: Simulating and visualizing a resilient landscape architecture design approach | |
| CN115329691A (en) | CFD and GIS-based super-large city wind environment simulation method | |
| CN114970302B (en) | Regional groundwater condition prediction method based on groundwater monitoring system | |
| Titov et al. | Slip-squashing factors as a measure of three-dimensional magnetic reconnection | |
| Ying et al. | An intelligent planning method to optimize high-density residential layouts considering the influence of wind environments | |
| Li et al. | Multi-mechanism swarm optimization for multi-UAV task assignment and path planning in transmission line inspection under multi-wind field | |
| CN104167731B (en) | A kind of multizone polynary power supply coordinated planning method | |
| Polis et al. | Iterative TIN generation from digital elevation models | |
| Dittrich et al. | Counting a black hole in Lorentzian product triangulations | |
| CN117151499A (en) | Monitoring and evaluating method and system for homeland space planning | |
| Liu et al. | Accurate and efficient urban wind prediction at city-scale with memory-scalable graph neural network | |
| CN110162903A (en) | A kind of urban architecture windward side density calculating method and system parallel based on grid | |
| CN106600691A (en) | Multipath 2D video image fusion correction method and system in 3D geographical space | |
| Lee et al. | Raster voronoi tessellation and its application to emergency modeling |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180921 |
|
| RJ01 | Rejection of invention patent application after publication |