CN103065040B - The computing machine construction method of middle voltage distribution networks construction for electricity - Google Patents
The computing machine construction method of middle voltage distribution networks construction for electricity Download PDFInfo
- Publication number
- CN103065040B CN103065040B CN201210540761.7A CN201210540761A CN103065040B CN 103065040 B CN103065040 B CN 103065040B CN 201210540761 A CN201210540761 A CN 201210540761A CN 103065040 B CN103065040 B CN 103065040B
- Authority
- CN
- China
- Prior art keywords
- transformer station
- transformer
- electricity
- power supply
- construction
- 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.)
- Active
Links
- 230000005611 electricity Effects 0.000 title claims abstract description 49
- 238000010276 construction Methods 0.000 title claims abstract description 40
- 238000000034 method Methods 0.000 claims abstract description 12
- 230000008569 process Effects 0.000 claims abstract description 12
- 230000004888 barrier function Effects 0.000 claims description 13
- 238000012937 correction Methods 0.000 claims description 4
- 238000007405 data analysis Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000001131 transforming effect Effects 0.000 claims description 3
- 241001269238 Data Species 0.000 claims description 2
- 238000000605 extraction Methods 0.000 claims description 2
- 238000012876 topography Methods 0.000 abstract description 4
- 238000012546 transfer Methods 0.000 abstract description 3
- 230000008878 coupling Effects 0.000 abstract description 2
- 238000010168 coupling process Methods 0.000 abstract description 2
- 238000005859 coupling reaction Methods 0.000 abstract description 2
- 238000010030 laminating Methods 0.000 abstract description 2
- 238000013461 design Methods 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 4
- 241000196324 Embryophyta Species 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 101100129500 Caenorhabditis elegans max-2 gene Proteins 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 210000000988 bone and bone Anatomy 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to a kind of constituted mode of middle voltage distribution networks construction for electricity, particularly a kind of computing machine construction method of medium voltage distribution network construction for electricity, build based on for electric model, the regional characteristic of transformer station, load characteristic are taken into full account, medium voltage distribution network framework is developed into normalized powering mode by Connection Mode, computer based unified criterion and process, make the more clear and standard of grid structure, the topography and landform character of laminating this area, and improve distribution network reliability.Secondly, described power distribution network construction for electricity optimizes the bulk supply ability of power distribution network, reaches the maximum using of main transformer and circuit.Finally, based on the medium voltage distribution network framework of power supply model construction, can the power supply transfer ability coupling of circuit in the overall load service capability of implementation model and model, upper and lower level electrical network is coordinated more, and realize each main transformer in rack, the load between each bar circuit reaches balanced as much as possible.
Description
Technical field
The present invention relates to a kind of generation type of middle voltage distribution networks construction for electricity, particularly a kind of computing machine construction method of middle voltage distribution networks construction for electricity.
Background technology
Supplying power allocation framework is medium voltage distribution network " muscles and bones ", and strong grid structure is the basis that power grid security is reliable, high-quality is run.But, for a long time, because China region is extensive, with a varied topography, the research and practice that domestic centering is press-fitted power grid architecture mainly concentrates on Connection Mode aspect, Connection Mode only embodies in some times in extremely local presses structure between feeder line and communication relationship, the electric power-feeding structure of transformer station under different terrain and load density level conditions in area power grid cannot be embodied, concrete Equipments Setting also cannot reflect the refinement power supply target of this structure, result in overall Distributing network structure unreasonable, line load unreasonable distribution; Connection Mode only can embody structure between circuit at the corresponding levels and communication relationship in addition, the bulk supply ability of distribution system cannot be reacted, and, Connection Mode is only powered with regard to own load and contact in the design, do not relate to the situation that multi-voltage grade works in coordination with power supply, cause reaching good fit between middle voltage distribution networks and high-voltage distribution network, partial load is overweight or kick the beam and all can cause tremendous influence to the safety of electrical network, reliable power supply.
Secondly, the evaluation for Connection Mode only rests on line side, cannot reflect the characteristic for electric model transformer substation side; And distribution system evaluation index is formulate according to present situation distribution network mostly, and most index is only applicable to the evaluation of present situation network, as distribution transforming non-oil ultra high vacuum system rate, Plant in good condition situation, circuit model normal conditions etc.The existing appraisement system for Connection Mode and distribution system cannot directly apply to the evaluation supplying electric model.Finally, traditional medium-Voltage Distribution network planning and design are because the more Connection Mode closing note feeder, and lack extendability design to overall rack, rack construction is clear not, also ununified standard, is unfavorable for the realization of Distribution Automation Technology in actual distribution system.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art part, and provide a kind of can the computing machine construction method of middle voltage distribution networks construction for electricity of the feature such as Combining with terrain, power load distributing.
The present invention is achieved through the following channels:
The computing machine construction method of middle voltage distribution networks construction for electricity, its main points are, comprise the steps:
There is provided the map system based on transformer station, it includes the positional information of cartographic information to required structure and each transformer station;
There is provided Data Analysis Services unit, it calculates the longitude and latitude that on cartographic information, all pixels are corresponding, sets up reference frame;
In reference frame, coordinate transform calculating is carried out to the website of all transformer stations in the power supply area of setting, obtains all transformer station's coordinate datas;
The point of all transformer stations in power supply area is set to the loose point set in planar graph in cartographic information according to the coordinate data of transformer station;
There is provided Lawson computing module and LOP local optimum computing module, Lawson computing module carries out Delaunay triangulation to the loose point set in planar graph, obtains the initial triangulation network; LOP local optimum computing module is optimized computing to the initial triangulation network, obtains effective Delaunay triangulation network, and each node of the triangulation network represents a transformer station;
Carry out first time to effective Delaunay triangulation network to revise:
Each transformer station in power supply area is associated with the transformer substation foundation information stored in electric system, and extracting the Back ground Information of each transformer station, described Back ground Information includes the theoretical maximum radius of electricity supply of transformer station, actual maximum radius of electricity supply, net capability, transforming plant main transformer number of units, the rated capacity of transformer, power factor (PF) and maximum permission load factor; Arrange as follows according to above-mentioned transformer substation foundation data:
Arrange in power supply area and there is the factor of influence k of barrier to the maximum radius of electricity supply of transformer station
1:
in formula, S is the total area of barrier in transformer station's power supply area, and Rmax is the maximum radius of electricity supply of transformer station when only considering load distribution performance, i.e. theoretical maximum radius of electricity supply;
Factor of influence k to the maximum radius of electricity supply of transformer station when barrier in power supply area passes through a certain transformer station's power supply area is set
2:
in formula, θ
1for the round angle formed of power supply that the actual maximum radius of electricity supply of barrier and transformer station is formed;
Calculate maximum effective radius of electricity supply R that transformer station considers barrier and load distribution performance
d:
R
D=k
1×k
2×Rmax
Process is made the following judgment according to Data Analysis Services unit:
In effective Delaunay triangulation network, if the actual range between Liang Ge transformer station is more than or equal to maximum effective radius of electricity supply sum of two transformer stations, then delete the line between this Liang Ge transformer station; Otherwise, retain the line between two transformer stations;
Second time correction is carried out to effective Delaunay triangulation network:
The pixel in river is extracted from map system, and using the color data of this pixel as reference value,
In extraction map system, two have the transformer station of line, calculate its line the color data of all pixels of process, if the color data of one of them above pixel is identical with reference value, then delete the line between this two transformer station, otherwise, retain the connection between two transformer stations;
Extract the elevation data computing module in map system, it can according to its sea level elevation of the calculation of longitude & latitude of specified point;
To extract in map system the transformer station that two have line, obtain its line the longitude and latitude of all pixels of process; According to elevation data computing module calculate line the sea level elevation of all pixels of process, if the sea level elevation of one of them above pixel exceedes the height above sea level angle value of setting, then delete the line between this two transformer station, otherwise, retain the connection between two transformer stations;
The transformer station finally obtained and connection data thereof are combined in cartographic information, for this setting power supply area considers the medium voltage distribution network construction for electricity of characteristic of field and load characteristic practically.
The described map system based on transformer station can be existing GOOGLE map system, Baidu's map system etc., it can also be the existing Geographic Information System based on GIS, it is a kind of map system including each substation information, include concrete terrain information, as specifying informations such as river, mountain range, sea level elevations.The Back ground Information of described transformer station be transformer station build up or planning and design time, the data of the relevant transformer station just determined, it is stored in electric system, for scheduling, O&M, maintenance etc.Described barrier refers to the regional characteristic such as massif, river, lake, greenery patches, the region that power consumption is few.
Lawson computing module and LOP local optimum computing module and Delaunay triangulation are all theoretical from Delaunay triangulation classical in geometry, and it is for being split into uneven triangular mesh a loose some set.
The setting power supply area finally generated is considered in the medium voltage distribution network construction for electricity of characteristic of field and load characteristic practically, each transformer station or independent distribution, may be separately formed point-like construction for electricity, or in chainlike distribution, form chain construction for electricity, or distribution triangular in shape, form triangle construction for electricity, define the blank for electric model.
Construction for electricity refers to for a certain power supply area, a Zuo Huoduozuo transformer station by interconnected the formed basic structure that can reflect the power supply rack of this power supply area load distribution performance and regional characteristic, embodiment be interconnecting relation between transformer station.
The computing machine construction method of middle voltage distribution networks construction for electricity of the present invention builds based on for electric model, the regional characteristic of transformer station, load characteristic are taken into full account, medium voltage distribution network framework is developed into normalized powering mode by Connection Mode, forms the construction for electricity of the topography and landform character of laminating this area.And pass through unified criterion and the process of computing machine, the concrete power supply model construction transformation corresponding to the framework of formation can form unified, clear, rational mid-voltage distribution network frame on the whole.For the fault grid switching operation time is shortened in specified fault phase load transfer, realization in advance, improving distribution network reliability provides possibility.Secondly, described power distribution network construction for electricity, by the bulk supply ability considering part throttle characteristics, regional characteristic optimizes power distribution network, reaches the maximum using of main transformer and circuit.Finally, based on the medium voltage distribution network framework of power supply model construction, can the power supply transfer ability coupling of circuit in the overall load service capability of implementation model and model, upper and lower level electrical network is coordinated more, and realize each main transformer in rack, the load between each bar circuit reaches balanced as much as possible.
Accompanying drawing explanation
Figure 1 shows that the structural representation of the triangulation of Delaunay described in preferred embodiment;
Below in conjunction with embodiment, the present invention is further elaborated.
Embodiment
Most preferred embodiment:
The computing machine construction method of middle voltage distribution networks construction for electricity, comprises the steps:
1, Delaunay triangulation network is generated
Concrete steps and explanation:
(1) for structure region, the GOOGLE map in this region is first obtained; For the related function needing the place of drawing can call java drawing object Graphic in map, completed by software backstage.
(2) calculate the longitude and latitude that on GOOGLE map, all pixels are corresponding, set up reference frame.
(3) in the reference frame set up, coordinate setting is carried out to the website of transformer stations all in this power supply area, and abstract be loose point set in planar graph.
(4) call Lawson computing module, use Lawson algorithm, by software programming, Delaunay triangulation is carried out to planar point set, obtain the initial triangulation network; And call LOP local optimum computing module, use LOP algorithm to be optimized, generate effective Delaunay triangulation network.LOP Local Optimization Algorithm: judge the quadrilateral that two triangles with common edge form, if wherein any one leg-of-mutton circumscribed circle comprises three summit of another triangle except public vertex, then exchanges common edge.
2, carry out first time to effective Delaunay triangulation network to revise
Concrete steps and explanation:
(1) first according to load distribution performance and the regional characteristic in this region, the maximum effective radius of electricity supply R revising Hou Ge transformer station is asked for
d: (specifically seeing that summary of the invention part illustrates)
Wherein
in formula, N is the main transformer number of units in transformer station, and Ti is the rated capacity (MVA) of transformer i;
for the power factor (PF) of transformer i; η
maxifor the maximum permission load factor of transformer i; D is the average load density after considering simultaneity factor.
(2) then carry out first time according to following criterion to initial Delaunay triangulation network to revise:
If the actual range between two transformer stations is more than or equal to maximum effective radius of electricity supply sum of two transformer stations, then the line between this Liang Ge transformer station will be deleted; If the actual range between two transformer stations is less than maximum effective radius of electricity supply sum of two transformer stations, then the line between this Liang Ge transformer station will be retained.
3, second time correction is carried out to Delaunay triangulation network:
According to criterion be: the unsuitable transregional power supply of 10kV middle-voltage network, radius of electricity supply is unsuitable long;
10kV middle-voltage network should not across river, cross a river, power (note: if having barrier between two transformer stations, but when the total length of circuit is less than or equal to 1.2 of air line distance between two transformer stations after walking around barrier, can not line delete) across mountain.
According to the topography and landform character of planning region reality, as the layout etc. in hillside, river in district, in conjunction with criterion, second time correction is carried out to Delaunay triangulation network, the line between the transformer station not meeting criterion is deleted.
In GOOGLE map, as follows to the judgement in river, mountains and rivers:
(1) river:
The main cause that river can be judged by map be because: in Google Maps river mark color be very special blueness, just can determine whether river according to the color of the pixel intercepted above map according to this characteristic, concrete grammar is as follows:
Suppose Liang Ge transformer station A and B, get AB 2 lines all pixels of process, and the color of these pixels to be judged, if ought the color of pixel wherein when being the color of river point, just determines that AB Liang Ge transformer station is cross a river stream.
(2) mountains and rivers:
Will carry out according to height above sea level the judgement in mountains and rivers, in the api interface of Google Maps, just there is a function G etElevation (), the height above sea level of specifying longitude and latitude point can be obtained from the rreturn value of this function.Realize concrete grammar as follows: suppose Liang Ge transformer station A and B, get AB 2 lines all pixels of process, and calculation of longitude & latitude corresponding for these pixels out, the height above sea level of each longitude and latitude is obtained by above-mentioned GetElevation () function, thus learn the continuous print altitude change above AB line, when the value that the change of height above sea level is specified more than, just think that AB line is across mountain, so just can determine that AB Lian Ge transformer station is across mountains and rivers.
4, construction for electricity is generated
After above modified twice, namely generate the medium voltage distribution network construction for electricity after this planning power supply area consideration actual conditions; By the identification of software hind computation, provide the construction for electricity classification in this region, as: point-like construction for electricity, chain construction for electricity, triangle construction for electricity.
It is same as the prior art that the present invention does not state part.
Claims (1)
1. the computing machine construction method of middle voltage distribution networks construction for electricity, is characterized in that, comprise the steps:
There is provided the map system based on transformer station, it includes the positional information of cartographic information to required structure and each transformer station;
There is provided Data Analysis Services unit, it calculates the longitude and latitude that on cartographic information, all pixels are corresponding, sets up reference frame;
In reference frame, coordinate transform calculating is carried out to the website of all transformer stations in the power supply area of setting, obtains all transformer station's coordinate datas;
The point of all transformer stations in power supply area is set to the loose point set in planar graph in cartographic information according to the coordinate data of transformer station;
There is provided Lawson computing module and LOP local optimum computing module, Lawson computing module carries out Delaunay triangulation to the loose point set in planar graph, obtains the initial triangulation network; LOP local optimum computing module is optimized computing to the initial triangulation network, obtains effective Delaunay triangulation network, and each node of effective Delaunay triangulation network represents a transformer station;
Carry out first time to effective Delaunay triangulation network to revise:
Each transformer station in power supply area is associated with the transformer substation foundation information stored in electric system, and extracting the Back ground Information of each transformer station, described Back ground Information includes the theoretical maximum radius of electricity supply of transformer station, actual maximum radius of electricity supply, net capability, transforming plant main transformer number of units, the rated capacity of transformer, power factor (PF) and maximum permission load factor; Arrange as follows according to above-mentioned transformer substation foundation information:
Arrange in power supply area and there is the factor of influence k of barrier to the maximum radius of electricity supply of transformer station
1:
in formula, S is the total area of barrier in transformer station's power supply area, and Rmax is the maximum radius of electricity supply of transformer station when only considering load distribution performance, i.e. theoretical maximum radius of electricity supply;
Factor of influence k to the maximum radius of electricity supply of transformer station when barrier in power supply area passes through a certain transformer station's power supply area is set
2:
in formula, θ
1for the round angle formed of power supply that the actual maximum radius of electricity supply of barrier and transformer station is formed;
Calculate maximum effective radius of electricity supply R that transformer station considers barrier and load distribution performance
d:
R
D=k
1×k
2×Rmax
Process is made the following judgment according to Data Analysis Services unit:
In effective Delaunay triangulation network, if the actual range between Liang Ge transformer station is more than or equal to maximum effective radius of electricity supply sum of two transformer stations, then delete the line between this Liang Ge transformer station; Otherwise, retain the line between two transformer stations;
Second time correction is carried out to effective Delaunay triangulation network:
The pixel in river is extracted from map system, and using the color data of this pixel as reference value,
In extraction map system, two have the transformer station of line, calculate its line the color data of all pixels of process, if the color data of one of them above pixel is identical with reference value, then delete the line between this two transformer station, otherwise, retain the connection between two transformer stations;
Extract the elevation data computing module in map system, it can according to its sea level elevation of the calculation of longitude & latitude of specified point;
To extract in map system the transformer station that two have line, obtain its line the longitude and latitude of all pixels of process; According to elevation data computing module calculate line the sea level elevation of all pixels of process, if the sea level elevation of one of them above pixel exceedes the height above sea level angle value of setting, then delete the line between this two transformer station, otherwise, retain the connection between two transformer stations;
The transformer station finally obtained and connection data thereof are combined in cartographic information, for this setting power supply area considers the medium voltage distribution network construction for electricity of characteristic of field and load characteristic practically.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210540761.7A CN103065040B (en) | 2012-12-14 | 2012-12-14 | The computing machine construction method of middle voltage distribution networks construction for electricity |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210540761.7A CN103065040B (en) | 2012-12-14 | 2012-12-14 | The computing machine construction method of middle voltage distribution networks construction for electricity |
Publications (2)
Publication Number | Publication Date |
---|---|
CN103065040A CN103065040A (en) | 2013-04-24 |
CN103065040B true CN103065040B (en) | 2016-01-20 |
Family
ID=48107668
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201210540761.7A Active CN103065040B (en) | 2012-12-14 | 2012-12-14 | The computing machine construction method of middle voltage distribution networks construction for electricity |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103065040B (en) |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103440398B (en) * | 2013-07-10 | 2016-09-28 | 武汉大学 | A kind of grid branch importance appraisal procedure based on pattern recognition |
CN104123679B (en) * | 2014-07-11 | 2015-05-13 | 广东电网公司电网规划研究中心 | Coastal area wind prevention security power grid frame construction method based on graph theory algorithm |
CN104331847A (en) * | 2014-11-18 | 2015-02-04 | 国家电网公司 | Power supply zone partitioning method by use of Delaunay triangulation |
CN104537580B (en) * | 2015-01-27 | 2018-04-17 | 四川大学 | The construction method of distribution network structure based on K means clusters |
CN106709815A (en) * | 2015-08-10 | 2017-05-24 | 国网上海市电力公司 | Method of reading medium-voltage distribution network grid structure data in PMS system |
AU2016388442B2 (en) * | 2016-01-22 | 2022-09-15 | Biarri Networks Pty Ltd | Method and system for designing an electricity distribution network |
CN106529758B (en) * | 2016-09-13 | 2022-09-20 | 国网山东省电力公司青岛供电公司 | Method and device for judging rationality of power supply area of distribution transformer |
CN108549677B (en) * | 2018-03-30 | 2021-08-31 | 国网甘肃省电力公司 | Method for depicting power supply service range of public transformer area of general distribution network |
CN110008573A (en) * | 2019-03-30 | 2019-07-12 | 广州锐敏信息科技有限公司 | The calculation and analysis methods and system of substation's supply district are generated in a kind of region |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1243638A (en) * | 1997-01-06 | 2000-02-02 | 德国电信股份有限公司 | Method of producing network |
CN101639503A (en) * | 2009-08-25 | 2010-02-03 | 青海电力科学试验研究院 | Tibet plateau lightning location system site selection method |
CN102411645A (en) * | 2011-07-28 | 2012-04-11 | 中国电力科学研究院 | Rural electric network layout optimization method based on urban and rural integration |
CN102663826A (en) * | 2012-02-29 | 2012-09-12 | 国网北京经济技术研究院 | Power transmission project design review method assisted by grid holographic digital map system |
-
2012
- 2012-12-14 CN CN201210540761.7A patent/CN103065040B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1243638A (en) * | 1997-01-06 | 2000-02-02 | 德国电信股份有限公司 | Method of producing network |
CN101639503A (en) * | 2009-08-25 | 2010-02-03 | 青海电力科学试验研究院 | Tibet plateau lightning location system site selection method |
CN102411645A (en) * | 2011-07-28 | 2012-04-11 | 中国电力科学研究院 | Rural electric network layout optimization method based on urban and rural integration |
CN102663826A (en) * | 2012-02-29 | 2012-09-12 | 国网北京经济技术研究院 | Power transmission project design review method assisted by grid holographic digital map system |
Non-Patent Citations (5)
Title |
---|
Design and implementation of an intelligent recommendation system;Hsu Fang-Ming, Lin Yu-Tzeng, Ho Tu-Kuang;《Expert Systems with Applications》;20120215;3257–3264 * |
基于GIS的城市配电网分区与网架优化规划;宋蒙;《中国优秀硕士学位论文全文数据库工程科技二辑》;20070815(第02期);全文 * |
基于GIS的城市配网变电站规划的研究;张建波;《中国优秀硕士学位论文全文数据库工程科技二辑》;20071115(第05期);全文 * |
基于加权 Voronoi 图的变电站优化规划;李慧;《中国优秀硕士学位论文全文数据库工程科技二辑》;20090415(第04期);全文 * |
配电变压器的定位和供电区域划分的计算几何方法;杨丽徙,王金风,陈根永,娄和恭;《全国高等学校电力***及其自动化专业第十九届学术年会论文集》;20031231;714-717 * |
Also Published As
Publication number | Publication date |
---|---|
CN103065040A (en) | 2013-04-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103065040B (en) | The computing machine construction method of middle voltage distribution networks construction for electricity | |
Zhang et al. | Optimal location and size of a grid-independent solar/hydrogen system for rural areas using an efficient heuristic approach | |
CN102880921B (en) | A kind of electric automobile charging station Optimization Method for Location-Selection | |
CN103986227B (en) | A kind of monitoring method for running of the power matching network based on GIS platform and system | |
CN107742167A (en) | The accurate planing method of middle voltage distribution networks based on three layers of macroscopical networking constraint | |
CN105303259A (en) | Gridding concept based power distribution network planning management method | |
CN107176051A (en) | Electric automobile charging pile management system based on space-time electricity price model | |
CN103064895B (en) | Based on the communication resource management system computer generating method of GIS | |
CN103679559A (en) | Visual grid system and fault identification method thereof | |
CN108376291A (en) | A kind of electric vehicle electric charging station addressing constant volume method based on micro-capacitance sensor | |
CN103729692A (en) | Hydropower station drainage basin dividing and face rainfall monitoring method based on GIS | |
CN107967599A (en) | A kind of Wind Power Project development system and development approach based on exploitation map | |
CN104331847A (en) | Power supply zone partitioning method by use of Delaunay triangulation | |
CN104573868B (en) | A kind of power distribution network repairing Meshing Method and equipment | |
CN107194541A (en) | A kind of power distribution network power supply zone method based on adaptive weighting Voronoi diagram | |
CN201666006U (en) | Intelligent room for regulating peak of new energy source by using sensing electric network and Internet of things | |
CN105046592A (en) | Plain area water system characteristic evaluation method based on ArcGIS (Geographic Information System) | |
Chen et al. | Optimal weighted voronoi diagram method of distribution network planning considering city planning coordination factors | |
CN104701841B (en) | A kind of smart power grid user side energy information cognitive method | |
CN204904545U (en) | Wireless on -vehicle long -range control management system that checks meter | |
CN106130019A (en) | A kind of distribution line tidal current analysis method based on big data | |
CN108805336A (en) | It is a kind of to choose the method and device for sharing shaft tower based on power grid GIS | |
Pan et al. | A bird-caused damage risk assessment system for power grid based on intelligent data platform | |
Agbozo et al. | Virtual power plants: Powering smart cities of the future | |
CN103473615A (en) | Method and device for automatically selecting extra-high voltage alternating-current and direct-current drop points |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |