CN106877320B - Intelligent micro-grid node layout's method in a kind of region - Google Patents
Intelligent micro-grid node layout's method in a kind of region Download PDFInfo
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- CN106877320B CN106877320B CN201710266156.8A CN201710266156A CN106877320B CN 106877320 B CN106877320 B CN 106877320B CN 201710266156 A CN201710266156 A CN 201710266156A CN 106877320 B CN106877320 B CN 106877320B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
- Y02P80/14—District level solutions, i.e. local energy networks
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Abstract
The invention belongs to technical field of power systems, and in particular to intelligent micro-grid node layout's method in a kind of region；This method according to the connection relationship of micro-capacitance sensor each in region, draws network topological diagram first；Then network and ring structure are found；Network and ring structure are replaced with a data point again, obtain tree structure；Then assignment is carried out to each back end, node layout's distribution is carried out after assignment, then the data point of network and ring structure will be replaced to be reduced into ring structure；Finally according to region area, the distance between each node is determined；Intelligent micro-grid node layout's method in region of the present invention, it can be in region occupied by traditional power grid, utilize the connection relationship between intelligent micro-grid, uniquely determine the layout of these intelligent micro-grid nodes, and under the layout, the problem of area that each micro-capacitance sensor is covered is almost the same, effectively prevents some micro-capacitance sensor load excessive and damages.
Description
Technical field
The invention belongs to technical field of power systems, and in particular to intelligent micro-grid node layout's method in a kind of region.
Background technique
Micro-capacitance sensor (Micro-Grid) refer to by distributed generation resource, energy storage device, energy conversion device, load, monitoring and
The small-sized electric system of the compositions such as protective device.Micro-capacitance sensor, which is one, can be realized self-contr ol, protection and the autonomy of management
System can both be incorporated into the power networks with external electrical network, can also be with isolated operation.The appearance of micro-capacitance sensor, may be implemented distributed generation resource
Flexible, efficient application, solve the problems, such as that substantial amounts, various informative distributed generation resource are grid-connected.
Micro-capacitance sensor is combined with artificial intelligence technology, forms intelligent micro-grid, and can be in the base of traditional micro-capacitance sensor technology
New technical advantage is formed on plinth, and currently, having begun the trend for traditional power grid occur to intelligent micro-grid transition.
However, traditional power grid is substituted for intelligent micro-grid, how in the region occupied by traditional power grid rational deployment this
A little intelligent micro-grids, it has not been found that a good method.
Summary of the invention
In view of the above-mentioned problems, this method can the invention discloses intelligent micro-grid node layout's method in a kind of region
In the region occupied by traditional power grid, using the connection relationship between intelligent micro-grid, these intelligent micro-grid sections are uniquely determined
The layout of point, and under the layout, the area that each micro-capacitance sensor is covered is almost the same, effectively prevents the load of some micro-capacitance sensor
It is excessive and the problem of damage.
The object of the present invention is achieved like this:
Intelligent micro-grid node layout's method in a kind of region, comprising the following steps:
S1, according to the connection relationship of micro-capacitance sensor each in region, draw network topological diagram；
S2, based on the network topological diagram that step S1 is obtained, find network and ring structure；
S3, the network that step S2 is found is replaced with a data point, ring structure is replaced with a data point,
Obtain tree structure；
S4, based on the tree structure that step S3 is obtained, to each back end carry out assignment, value be equal to the data
Node is the summation of all back end quantity on the branched structure of root node；
S5, node layout's distribution, distribution principle are as follows: the distribution angle of root node are carried out to the tree structure that step S3 is obtained
Be 360 degree, the angle of certain father node distribution is N, the shared value of the father node be N1, N2 ..., the n child node of Nn, be worth for Nx (x
=1,2 ..., the angle distributed of child node n) are as follows: N × Nx/ (N1+N2+ ...+Nn)；
S6, the data point of network will be replaced to be reduced into network in step S3, the data of ring structure will be replaced
Point is reduced into ring structure；
S7, according to region area, determine the distance between each node.
Intelligent micro-grid node layout's method in above-mentioned zone successively removes the leaf of tree structure, if:
Only it is left a back end, the back end is as root node；
It is left two back end, any one in the back end is as root node.
The utility model has the advantages that
The first, intelligent micro-grid node layout's method in region of the present invention, due to being based on tree structure, and by grid knot
Structure and ring structure are replaced with a data point, therefore simplify the connection relationship between each intelligent micro-grid, and then simplify cloth
The fussy degree of office's method.
The second, obtained according to intelligent micro-grid node layout's method in region of the present invention the result is that unique, be not required to
Iteration evolutionary operation is used, therefore is implemented very easy.
Intelligent micro-grid node layout's method in third, region of the present invention, can be in region occupied by traditional power grid, benefit
With the connection relationship between intelligent micro-grid, the layout of these intelligent micro-grid nodes is uniquely determined, and under the layout, respectively
The problem of area that micro-capacitance sensor is covered is almost the same, effectively prevents some micro-capacitance sensor load excessive and damages.
Detailed description of the invention
Fig. 1 is the flow chart of intelligent micro-grid node layout's method in region of the present invention.
Fig. 2 is the network topological diagram drawn according to the connection relationship of micro-capacitance sensor each in region.
The tree structure schematic diagram that Fig. 3 is.
Fig. 4 is the tree structure schematic diagram with assignment.
Fig. 5 is the figure after angular distribution.
Fig. 6 is the figure after reduction.
Specific embodiment
The specific embodiment of the invention is described in further detail with reference to the accompanying drawing.
Specific embodiment one
Intelligent micro-grid node layout's method, flow chart are as shown in Figure 1 in the region of the present embodiment.Intelligence is micro- in the region
Grid nodes layout method the following steps are included:
S1, according to the connection relationship of micro-capacitance sensor each in region, draw network topological diagram；
S2, based on the network topological diagram that step S1 is obtained, find network and ring structure；
S3, the network that step S2 is found is replaced with a data point, ring structure is replaced with a data point,
Obtain tree structure；
S4, based on the tree structure that step S3 is obtained, to each back end carry out assignment, value be equal to the data
Node is the summation of all back end quantity on the branched structure of root node；
S5, node layout's distribution, distribution principle are as follows: the distribution angle of root node are carried out to the tree structure that step S3 is obtained
Be 360 degree, the angle of certain father node distribution is N, the shared value of the father node be N1, N2 ..., the n child node of Nn, be worth for Nx (x
=1,2 ..., the angle distributed of child node n) are as follows: N × Nx/ (N1+N2+ ...+Nn)；
S6, the data point of network will be replaced to be reduced into network in step S3, the data of ring structure will be replaced
Point is reduced into ring structure；
S7, according to region area, determine the distance between each node.
Specific embodiment two
Intelligent micro-grid node layout's method in the region of the present embodiment, on the basis of specific embodiment one, further
It limits: successively removing the leaf of tree structure, if:
Only it is left a back end, the back end is as root node；
It is left two back end, any one in the back end is as root node.
Just above-mentioned two embodiment is further elaborated with a set of data instance below:
S1, according to the connection relationship of micro-capacitance sensor each in region, draw network topological diagram, as shown in Figure 2.
S2, based on the network topological diagram that step S1 is obtained, find network and ring structure；Wherein, 0 node, 2
Node, 3 nodes, 4 nodes and 5 nodes constitute network, and 6 nodes, 8 nodes and 9 nodes constitute ring structure.
S3, the network that step S2 is found is replaced with a data point, ring structure is replaced with a data point,
Tree structure is obtained, as shown in Figure 3；Wherein, the network use-that 0 node, 2 nodes, 3 nodes, 4 nodes and 5 nodes are constituted
1 node replaces, and the ring structure that 6 nodes, 8 nodes and 9 nodes are constituted is replaced with -2 nodes.
S4, based on the tree structure that step S3 is obtained, to each back end carry out assignment, value be equal to the data
Node is the summation of all back end quantity on the branched structure of root node；
In tree structure shown in Fig. 3, the back end marked as 1 as leaf is assigned a value of 1, the mark as leaf
It number is to be formed by three data Node compressions, therefore be assigned a value of 3 for -2 back end, the data marked as 7 as leaf
Node valuation is 1, and the back end marked as -1 as root be formed by five data Node compressions, while it there are also three
A assignment is respectively 1,3 and 1 leaf, therefore is assigned a value of 10, and the tree structure with assignment is as shown in Figure 4.
S5, node layout's distribution, distribution principle are as follows: the distribution angle of root node are carried out to the tree structure that step S3 is obtained
Be 360 degree, the angle of certain father node distribution is N, the shared value of the father node be N1, N2 ..., the n child node of Nn, be worth for Nx (x
=1,2 ..., the angle distributed of child node n) are as follows: N × Nx/ (N1+N2+ ...+Nn)；
In the present embodiment, the node marked as -1 is father node, while being also root node, therefore the angle of its distribution is
N=360 degree, the father node share three child nodes of N1=1, N2=3 and N3=1, then:
The angle that the child node of N1=1 is distributed are as follows: 360 degree × 1/ (1+3+1)=72 degree；
The angle that the child node of N2=3 is distributed are as follows: 360 degree × 3/ (1+3+1)=216 degree；
The angle that the child node of N3=1 is distributed are as follows: 360 degree × 1/ (1+3+1)=72 degree.
Figure after angular distribution is as shown in Figure 5.
S6, the data point of network will be replaced to be reduced into network in step S3, the data of ring structure will be replaced
Point is reduced into ring structure, as shown in Figure 6.
S7, according to region area, determine the distance between each node.
Claims (3)
1. intelligent micro-grid node layout's method in a kind of region, which comprises the following steps:
S1, according to the connection relationship of micro-capacitance sensor each in region, draw network topological diagram；
S2, based on the network topological diagram that step S1 is obtained, find network and ring structure；
S3, the network that step S2 is found is replaced with a data point, ring structure is replaced with a data point, is obtained
Tree structure；
S4, based on the tree structure that step S3 is obtained, to each back end carry out assignment, value be equal to the back end
For the summation of back end quantity all on the branched structure of root node；
S5, the tree structure obtained to step S3 carry out node layout's distribution, distribution principle are as follows: the distribution angle of root node is
360 degree, the angle of certain father node distribution is N, the shared value of the father node be N1, N2 ..., the n child node of Nn, be worth the son for Nx
The angle that node is distributed are as follows: N × Nx/ (N1+N2+ ...+Nn), x=1,2 ..., n；
S6, the data point of network will be replaced to be reduced into network in step S3, the data point of ring structure will be replaced also
Original circularizes structure；
S7, according to region area, determine the distance between each node.
2. intelligent micro-grid node layout's method in region according to claim 1, which is characterized in that successively remove tree-like
The leaf of structure, if:
Only it is left a back end, the back end is as root node；
It is left two back end, any one in the back end is as root node.
3. application of the method described in claim 1 in region in intelligent micro-grid node layout field.
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| CN111064497B (en) * | 2019-11-15 | 2022-04-19 | 国网河南省电力公司驻马店供电公司 | Acquisition, operation and maintenance system based on HPLC (high performance liquid chromatography) platform area |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103178516A (en) * | 2013-01-25 | 2013-06-26 | 哈尔滨工业大学 | Node merge method based dynamic network topology analysis method |
| CN103762591A (en) * | 2014-01-16 | 2014-04-30 | 国家电网公司 | Power distribution network topology layout method |
| CN104166945A (en) * | 2014-08-08 | 2014-11-26 | 深圳供电局有限公司 | Power grid partial topology tracking method based on cut node identification |
| CN104951844A (en) * | 2015-05-21 | 2015-09-30 | 北京科东电力控制系统有限责任公司 | Layout optimization method of distribution network thematic maps |
| CN105790254A (en) * | 2016-01-26 | 2016-07-20 | 山东大学 | Multi-tree-based feeder topology representation method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6134970B2 (en) * | 2013-10-22 | 2017-05-31 | 株式会社日立情報通信エンジニアリング | Power conversion system and isolated operation detection method for power conversion system |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103178516A (en) * | 2013-01-25 | 2013-06-26 | 哈尔滨工业大学 | Node merge method based dynamic network topology analysis method |
| CN103762591A (en) * | 2014-01-16 | 2014-04-30 | 国家电网公司 | Power distribution network topology layout method |
| CN104166945A (en) * | 2014-08-08 | 2014-11-26 | 深圳供电局有限公司 | Power grid partial topology tracking method based on cut node identification |
| CN104951844A (en) * | 2015-05-21 | 2015-09-30 | 北京科东电力控制系统有限责任公司 | Layout optimization method of distribution network thematic maps |
| CN105790254A (en) * | 2016-01-26 | 2016-07-20 | 山东大学 | Multi-tree-based feeder topology representation method |
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