CN109687464A - The analysis method and device of electric network swim, storage medium, processor - Google Patents
The analysis method and device of electric network swim, storage medium, processor Download PDFInfo
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- CN109687464A CN109687464A CN201810798045.6A CN201810798045A CN109687464A CN 109687464 A CN109687464 A CN 109687464A CN 201810798045 A CN201810798045 A CN 201810798045A CN 109687464 A CN109687464 A CN 109687464A
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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
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected 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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Abstract
The invention discloses a kind of analysis method of electric network swim and device, storage medium, processors.Wherein, this method comprises: converting calculating graph model for electrical network figure, wherein calculate graph model by node and Bian Zucheng, node is used to indicate the node in network system, and side is used to indicate the route in network system；Detection calculates the type of graph model；According to type, mode corresponding with type is selected to carry out tidal current analysis to power grid.The present invention solves in the prior art using relevant database, and reaction speed is slow and structural redundancy is complicated, thus the technical issues of can not fast implementing large-scale power grid topological analysis.
Description
Technical field
The present invention relates to electrical network fields, and the analysis method and device, storage in particular to a kind of electric network swim are situated between
Matter, processor.
Background technique
Power grid GIS (Geograp hic Information System, abbreviation power grid GIS) is used as one
Spatial Information Technology is for acquiring, storing, manage, analyze, show and the computer system of applied geography related data.Mesh
Preceding power grid GIS system is using Oracle spatial database memory technology.It is this to deposit for the power network topology of full voltage grade
Storage mode and technology occur calculating and handling bottleneck in relationship calculating, search, tracking.
Power grid GIS is safeguarded and carries out relationship type storage using oracle database has been used in the related technology, and
The graphics relationship of GIS1.6 seriously constrains the graph model fast mapping calculated based on graphic data base and figure at present, because
GIS1.6 present storage organization using node and the associated mode of TerminalID, can not directly mapping node and node it is straight
Connection relationship is connect, in order to solve the problems, such as that GIS1.6 operation system to high speed data processing between topological diagram calculating, needs
A high speed topology ODS data model buffering middleware is established between GIS1.6 and graphic data base, realizes that artwork directly maps (figure
Model and relational data model), nodal community data quickly extract, run mode data rapidly extracting and calculating.
Relevant database is used in the prior art for above-mentioned, and reaction speed is slow and structural redundancy is complicated, thus nothing
Method fast implements the problem of large-scale power grid topological analysis, and currently no effective solution has been proposed.
Summary of the invention
The embodiment of the invention provides a kind of analysis method of electric network swim and device, storage medium, processors, at least
It solves to use relevant database in the prior art, reaction speed is slow and structural redundancy is complicated, to can not fast implement big
The technical issues of type power network topology analysis.
According to an aspect of an embodiment of the present invention, a kind of analysis method of electric network swim is provided, comprising: by electrical network figure
It is converted into calculating graph model, wherein graph model is calculated by node and Bian Zucheng, node is used to indicate the node in network system,
Side is used to indicate the route in network system；Detection calculates the type of graph model；According to type, mode corresponding with type is selected
Tidal current analysis is carried out to power grid.
Optionally, according to type, mode corresponding with type is selected to carry out tidal current analysis to power grid, comprising: to calculate artwork
When the type of type is Radial network, tidal current analysis, first method are carried out to power grid using first method are as follows: will be used to indicate electricity
The calculating graph model of net carries out layered shaping, carries out parallel computation to the node in same layer, obtains parameters of electric power in power grid
Distributed intelligence；When the type for calculating graph model is ring network, tidal current analysis, second method are carried out to power grid using second method
Are as follows: by calculating in graph model there is the side of weight to be iterated processing, wherein weight is used to identify the admittance of power grid middle line road
With the voltage difference at route both ends；Determine the weight for calculating the side being connect in graph model with each node；Electricity is determined according to weight
Distributed intelligence of the force parameter in power grid.
Optionally, the calculating graph model for being used to indicate power grid is subjected to layered shaping, comprising: will there is identical electricity in power grid
The node division of the value of force parameter is to same layer.
Optionally, the attribute of point includes at least one of；Voltage, voltage magnitude, phase angle, node power.
Optionally, side is used to indicate the description of relationships between nodes；Side has direction；The attribute on side include it is following at least it
One: line impedance, Line Flow, line loss.
Optionally, according to type, mode corresponding with type is selected to carry out tidal current analysis to power grid, comprising: to obtain and calculate
Multiple backups of graph model, wherein the different electric network states of the different corresponding same power grids of backup in multiple backups；To multiple backups
Tidal current analysis is carried out simultaneously.
According to another aspect of an embodiment of the present invention, a kind of analytical equipment of electric network swim is additionally provided, comprising: conversion mould
Block, for converting calculating graph model for electrical network figure, wherein calculate graph model by node and Bian Zucheng, node is for indicating electricity
Node in net system, side are used to indicate the route in network system；Detection module, for detecting the type for calculating graph model；
Analysis module, for selecting mode corresponding with type to carry out tidal current analysis to power grid according to type.
Optionally, analysis module includes: the first analytical unit, when the type for calculating graph model is Radial network,
Tidal current analysis, first method are as follows: be layered the calculating graph model for being used to indicate power grid are carried out to power grid using first method
Processing carries out parallel computation to the node in same layer, obtains parameters of electric power in the distributed intelligence of power grid；Second analytical unit,
When type for calculating graph model is ring network, tidal current analysis, second method are carried out to power grid using second method are as follows: will
It calculates the side in graph model with weight and is iterated processing, wherein weight is used to identify admittance and the line of power grid middle line road
The voltage difference at road both ends；Determine the weight for calculating the side being connect in graph model with each node；Determine that electric power is joined according to weight
Distributed intelligence of the number in power grid.
According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided, storage medium includes the journey of storage
Sequence, wherein equipment where control storage medium executes the analysis method of above-mentioned electric network swim in program operation.
According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided, processor is used to run program,
In, program executes the analysis method of above-mentioned electric network swim when running.
In embodiments of the present invention, by the way of graphics calculations, calculating artwork is converted by using by network system
Type, and tidal current analysis is carried out to graph model is calculated, achieve the purpose that fast and efficiently to carry out topological analysis to network system,
To realize the operand for reducing power network topology analysis, the technical effect of power network topology analysis efficiency is improved, and then is solved
Relevant database is used in the prior art, and reaction speed is slow and structural redundancy is complicated, so that large-scale electricity can not be fast implemented
The technical issues of net topology is analyzed.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is a kind of flow chart of the analysis method of electric network swim according to an embodiment of the present invention；
Fig. 2 is that a kind of optional electrical network figure according to an embodiment of the present invention is converted into the schematic diagram for calculating graph model；
Fig. 3 a is a kind of schematic diagram of optional radial system system according to an embodiment of the present invention；
Fig. 3 b is the schematic diagram that a kind of optional radial pattern according to an embodiment of the present invention calculates graph model；
Fig. 4 a is a kind of optional positive schematic diagram for decomposing polymerization analysis process according to an embodiment of the present invention；
Fig. 4 b is a kind of optional reversed schematic diagram for decomposing polymerization analysis process according to an embodiment of the present invention；
Fig. 5 a is a kind of schematic diagram of optional ring-like network system according to an embodiment of the present invention；
Fig. 5 b is a kind of optional ring-like schematic diagram for calculating graph model according to an embodiment of the present invention；
Fig. 6 is a kind of structure chart of the analytical equipment of electric network swim according to an embodiment of the present invention.
Specific embodiment
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that equipment is intrinsic.
Power network topology is applied in the related technology, power network topology is especially applied to distribution network, its feature is electrical
Element is complicated and various.It is deposited using the GIS of Oracle spatial data technology by itself relational data of oracle database
The limitation of storage, calculates power network topology and fast resolving and the extraction of GIS data, and there are reaction speed is slow and structural redundancy is multiple
Miscellaneous problem can not fast implement large-scale power grid topological analysis and calculating.
Relational data structure come the correlation between characterize data, is occurred big in recent years using " index " in processing
During data multilayer complex relationship problem, apparent technical bottleneck is encountered, General query is complicated, retrieval response speed is slow
Slowly, more scenes are huger than waste of storage space caused by choosing, and application model is difficult to replicate extension, and the unique design of pattern analysis
Exactly compensate for this defect.
To solve the above problems, the embodiment of the present application provides corresponding solution, it is described further below.
According to embodiments of the present invention, a kind of embodiment of the method for the analysis of electric network swim is provided, it should be noted that
The step of process of attached drawing illustrates can execute in a computer system such as a set of computer executable instructions, also,
It, in some cases, can be to be different from shown in sequence execution herein although logical order is shown in flow charts
The step of out or describing.
Fig. 1 is a kind of flow chart of the analysis method of electric network swim according to an embodiment of the present invention, as shown in Figure 1, the party
Method includes the following steps:
Electrical network figure is converted calculating graph model by step S102, wherein calculates graph model by node and Bian Zucheng, node
For indicating the node in network system, side is used to indicate the route in network system；
In the embodiment of the present application, node and route in power grid can use tricks node in nomogram model and side indicates.?
In electric system, there are bus, route, generator, transformer, load and various switches, protection equipment, these objects all can quilt
It is abstracted as node and side, topology is formed in different voltage class and links together.Electric system topology Solve problems, all may be used
It is a natural graphics calculations problem on node and connected route (side) to sum up in the point that power grid.Power network topology analysis
It calculates and defers to the topological relation of network, and only node adjacent thereto is related for the electrical characteristic of each node, this relationship can
With by the mapping relations and logic analysis of attribute on node and side, shown in a manner of most direct in calculating figure, from
For this feature, graphics analysis techniques are more suitable for being applied to power network topology calculating.In addition, data management and logic calculation exist
United in graphics calculations model and be embedded into system bottom, the interaction of data and model can on the diagram directly into
Row is shown.
Wherein, step S102 can be executed by computer, obtain calculating graph model.
The embodiment of the present application provides a kind of schematic diagram for optionally converting electrical network figure to and calculating graph model, will be in electrical network figure
Node indicate that the route in electrical network figure is indicated with side with point, as shown in Fig. 2, a in figure indicates the attribute of node, b table
Show the attribute on side, wherein the nodal community in Fig. 2 are as follows: the side attribute in node voltage V, node power S, Fig. 2 are as follows: impedance Z,
Line Flow S, electric current I, for example, the attribute a1 of n1 point are as follows: node voltage V1, node power S2, the attribute on the side between n1 and n2
b12Are as follows: impedance Z12, Line Flow S12, electric current I12。
The attribute of point in the embodiment of the present application includes at least one of；Voltage, voltage magnitude, phase angle, node power；
Side in the embodiment of the present application is used to indicate the description of relationships between nodes, and side has direction.Wherein, the attribute on side include with down toward
It is one of few: line impedance, Line Flow, line loss.Wherein, it puts and the attribute on side includes static attribute and dynamic attribute, static state belongs to
Property be network system build-in attribute, i.e. the attribute that has of power grid, such as voltage itself, dynamic attribute is that network system passes through meter
Obtained attribute, for example, Line Flow.
Step S104, detection calculate the type of graph model；
Optionally, the type for calculating graph model includes at least: Radial network and ring network.
Step S106 selects mode corresponding with type to carry out tidal current analysis to power grid according to type.
Optionally, the embodiment of the present application includes that at least following two calculates graph model and analysis method:
One, calculate graph model type be Radial network when, using first method to power grid carry out tidal current analysis, first
Mode are as follows: the calculating graph model for being used to indicate power grid is subjected to layered shaping, parallel computation is carried out to the node in same layer, is obtained
To parameters of electric power in the distributed intelligence of power grid, i.e. first method is corresponding to power grid using polymerization (MapReduce) is decomposed
It calculates graph model and carries out tidal current analysis；
Firstly, being converted before carrying out tidal current analysis to power grid to electrical network figure.The embodiment of the present application provides a kind of optional
Radial network electrical network figure be converted into calculate graph model schematic diagram, as shown in Figure 3a and Figure 3b shows, Fig. 3 b be by Fig. 3 a turn
Change obtained calculating graph model, a in Fig. 3 b indicates that the attribute of node, b indicate the attribute on side, wherein nodal community includes: electricity
Pressure amplitude value V, phase angle theta, node power S, side attribute includes: line impedance Z, Line Flow S, line loss Δ S, for example, node V2 is
Attribute are as follows: voltage magnitude V2, phase angle theta2, node power S2, the attribute on the side between node V2 and V3 are as follows: line impedance Z23, route
Trend S23, line loss Δ S23, details are not described herein.
Wherein, above-mentioned decomposition polymerization can show as following implemented process: each node is calculated during previous
Active reactive calculates the voltage of each node during the latter, and two process two-way interactives carry out, when this in system is with before
When primary result precision is sufficiently small, convergence is calculated.Graphics calculations carry out radiation net topology calculating using polymerization is decomposed, can
To make full use of the parallel mechanism of graphics calculations, as shown in figures 4 a and 4b:
From Fig. 4 a and Fig. 4 b as it can be seen that decomposing polymerization is layered { T0, T1, T2 ... } to power grid.Due to radiation network
The node calculating of middle same layer is irrelevant, and the node of same layer is simultaneously activated, and carries out parallel computation, and network gets over " flat " meter
It is higher to calculate efficiency.
It wherein, include: that will there is same power in power grid by the calculating graph model for being used to indicate power grid progress layered shaping
The node division of the value of parameter is to same layer.For example, being same layer by the node division of identical voltage class.
Two, when the type for calculating graph model is ring network, tidal current analysis, second party are carried out to power grid using second method
Formula are as follows: by calculating in graph model there is the side of weight to be iterated processing, wherein weight is for identifying leading for power grid middle line road
The voltage difference received with route both ends；Determine the weight for calculating the side being connect in graph model with each node；It is determined according to weight
Parameters of electric power is using Page ranking method (PageRank) to the corresponding calculating of power grid in the distributed intelligence of power grid, i.e. second method
Graph model carries out tidal current analysis.
Page ranking method is exactly to be iterated on the side with weight in simple terms, this weight is reflected as in power grid
The voltage difference of admittance and both ends on route, it is corresponding be reflected as in graphics calculations model while upper admittance attribute and while both ends
Voltage difference attribute.For a node, coupled side is more or it is connected to " weight " very high side, then its
More " important " is the key node of system.Based on this thought, the core concept that can use classical Gauss Sai Deer is calculated
Topology.Fig. 5 a is a kind of schematic diagram of optional ring-like network system according to an embodiment of the present invention, and Fig. 5 b is and Fig. 5 a system
Corresponding calculating graph model.Based on Gauss Sidel iteration principle, core is the transmitting and friendship of information among the nodes
Change and node between parallel computation.
Optionally, the multiple backups for calculating graph model are obtained, wherein the different corresponding same power grids of backup in multiple backups
Different electric network states；To multiple backups while carrying out tidal current analysis.
In the embodiment of the present application, another feature of graphics calculations is to support network snapshots (snapshot), i.e., together
One is schemed multiple backups of upper different conditions, and can the parallel computation between multiple backups, be independent of each other, be suitble to programme
Fast speed ratio choosing.
Through the above steps, the intelligence electricity that more than one hundred million ranks can be effectively supported based on graphic data base technology may be implemented
The electriferous state of the multi-voltage grade power grid connectivity analysis of network data management, more than one hundred million a nodes and branch, 1,000,000,000 level devices
Detection inquiry, more than one hundred million switches, power supply, route, Tai Qu, block switch, " group " connect case, various terminal, ammeter, fall insurance,
The second grade of grid power blackout range scans, analysis and the judgement of the equipment such as bow line, magnanimity power supply unit different voltage grade is traced to the source point
Analysis.
By means of map pattern analysis technology, the associative simulation of power distribution network Yu user and distributed generation resource may be implemented；Power grid with
Associative simulation between communication control unit；Fining analysis is carried out to power distribution network magnanimity scene to calculate with plan optimization.
According to embodiments of the present invention, a kind of product embodiments of the analysis of electric network swim are provided, Fig. 6 is according to the present invention
The structure chart of the analytical equipment of a kind of electric network swim of embodiment, as shown in fig. 6, the device includes
Conversion module 60, for converting calculating graph model for electrical network figure, wherein calculate graph model by node and side group
At node is used to indicate the node in network system, and side is used to indicate the route in network system；
Detection module 62, for detecting the type for calculating graph model；
Analysis module 64, for selecting mode corresponding with type to carry out tidal current analysis to power grid according to type.
Optionally, analysis module 64, comprising:
First analytical unit, for calculate graph model type be Radial network when, using first method to power grid into
Row tidal current analysis, first method are as follows: the calculating graph model for being used to indicate power grid is subjected to layered shaping, to the node in same layer
Parallel computation is carried out, obtains parameters of electric power in the distributed intelligence of power grid；
First analytical unit when the type for calculating graph model is ring network, carries out power grid using second method
Tidal current analysis, second method are as follows: by calculating in graph model there is the side of weight to be iterated processing, wherein weight is for identifying
The admittance of power grid middle line road and the voltage difference at route both ends；Determine the power for calculating the side being connect in graph model with each node
Weight；Determine parameters of electric power in the distributed intelligence of power grid according to weight.
Optionally, the first analytical unit is also used to the node division by the value in power grid with same power parameter to same
One layer.
Optionally, the attribute of point includes at least one of；Voltage, voltage magnitude, phase angle, node power.
Optionally, side is used to indicate the description of relationships between nodes；Side has direction；The attribute on side include it is following at least it
One: line impedance, Line Flow, line loss.
Optionally, analysis module 64 further include:
Acquiring unit, for obtaining the multiple backups for calculating graph model, wherein different backup correspondences are same in multiple backups
The different electric network states of power grid；
Third analytical unit, for it is multiple backup and meanwhile carry out tidal current analysis.
Herein it should be noted that above-mentioned conversion module 60, detection module 62, analysis module 64 correspond to above-described embodiment
In step S102 to step S106, the example and application scenarios that above-mentioned module and corresponding step are realized be identical but unlimited
In above-described embodiment disclosure of that.It should be noted that above-mentioned module can be at such as one group as a part of of device
It is executed in the computer system of computer executable instructions.
The embodiment of the present application also provides a kind of storage medium, storage medium includes the program of storage, wherein is transported in program
Equipment where controlling storage medium when row executes the analysis method of above-mentioned electric network swim.
Above-mentioned storage medium, for storing the program for executing following functions: calculating graph model is converted by electrical network figure,
In, graph model is calculated by node and Bian Zucheng, and node is used to indicate the node in network system, and side is for indicating in network system
Route；Detection calculates the type of graph model；According to type, mode corresponding with type is selected to carry out tidal current analysis to power grid.
The embodiment of the present application also provides a kind of processor, processor is for running program, wherein program executes when running
The analysis method of above-mentioned electric network swim.
Above-mentioned processor, for executing the program for realizing following functions: converting calculating graph model for electrical network figure, wherein
Graph model is calculated by node and Bian Zucheng, node is used to indicate the node in network system, and side is for indicating in network system
Route；Detection calculates the type of graph model；According to type, mode corresponding with type is selected to carry out tidal current analysis to power grid.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment
The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others
Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, Ke Yiwei
A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or
Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of unit or module
It connects, can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
On unit.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can for personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or
Part steps.And storage medium above-mentioned includes: that USB flash disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic or disk etc. be various to can store program code
Medium.
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, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of analysis method of electric network swim characterized by comprising
Calculating graph model is converted by electrical network figure, wherein the calculating graph model is used for table by node and Bian Zucheng, the node
Show the node in network system, the side is used to indicate the route in the network system；
Detect the type for calculating graph model；
According to the type, mode corresponding with the type is selected to carry out tidal current analysis to the power grid.
2. the method according to claim 1, wherein selecting side corresponding with the type according to the type
Formula carries out tidal current analysis to the power grid, comprising:
When the type for calculating graph model is Radial network, tidal current analysis carried out to power grid using first method, described the
One mode are as follows: the calculating graph model for being used to indicate the power grid is subjected to layered shaping, the node in same layer is carried out
Parallel computation obtains parameters of electric power in the distributed intelligence of the power grid；
When the type for calculating graph model is ring network, tidal current analysis is carried out to the power grid using second method, it is described
Second method are as follows: the side with weight in the calculating graph model is iterated processing, wherein the weight is for identifying institute
State the admittance of power grid middle line road and the voltage difference at the route both ends；Determine in the calculating graph model with company, each node institute
The weight on the side connect；Determine the parameters of electric power in the distributed intelligence of power grid according to the weight.
3. the method according to claim 1, wherein will be used to indicate the calculating graph model of the power grid into
Row layered shaping, comprising:
By the node division of the value in the power grid with same power parameter to same layer.
4. the method according to claim 1, wherein the attribute of the point includes at least one of；Voltage, electricity
Pressure amplitude value, phase angle, node power.
5. the method according to claim 1, wherein the side is for indicating relationships between nodes；The side has
Direction；The attribute on the side includes at least one of: line impedance, Line Flow, line loss.
6. the method according to claim 1, wherein selecting side corresponding with the type according to the type
Formula carries out tidal current analysis to the power grid, comprising:
Obtain the multiple backups for calculating graph model, wherein different backups correspond to same power grids not in the multiple backup
Same electric network state；
To the multiple backup while carrying out tidal current analysis.
7. a kind of analytical equipment of electric network swim characterized by comprising
Conversion module, for converting calculating graph model for electrical network figure, wherein the calculating graph model by node and Bian Zucheng,
The node is used to indicate the node in network system, and the side is used to indicate the route in the network system；
Detection module, for detecting the type for calculating graph model；
Analysis module, for selecting mode corresponding with the type to carry out tidal current analysis to the power grid according to the type.
8. device according to claim 7, which is characterized in that analysis module includes:
First analytical unit, for it is described calculate graph model type be Radial network when, using first method to power grid into
Row tidal current analysis, the first method are as follows: the calculating graph model for being used to indicate the power grid is subjected to layered shaping, to same
Node in one layer carries out parallel computation, obtains parameters of electric power in the distributed intelligence of the power grid；
Second analytical unit, when the type for the calculating graph model is ring network, using second method to the power grid
Carry out tidal current analysis, the second method are as follows: the side with weight in the calculating graph model is iterated processing, wherein
The weight is used to identify the admittance of power grid middle line road and the voltage difference at the route both ends；Determine the calculating artwork
The weight on the side being connect in type with each node；Determine the parameters of electric power in the distributed intelligence of power grid according to the weight.
9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein run in described program
When control the storage medium where equipment perform claim require any one of 1 to 6 described in electric network swim analysis method.
10. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Benefit require any one of 1 to 6 described in electric network swim analysis method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810798045.6A CN109687464B (en) | 2018-07-19 | 2018-07-19 | Power grid power flow analysis method and device, storage medium and processor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201810798045.6A CN109687464B (en) | 2018-07-19 | 2018-07-19 | Power grid power flow analysis method and device, storage medium and processor |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116882408A (en) * | 2023-09-07 | 2023-10-13 | 南方电网数字电网研究院有限公司 | Construction method and device of transformer graph model, computer equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103762591A (en) * | 2014-01-16 | 2014-04-30 | 国家电网公司 | Power distribution network topology layout method |
| CN104113061A (en) * | 2014-07-30 | 2014-10-22 | 国家电网公司 | Three-phase load flow calculation method of power distribution network with distributed power supply |
| US20150340863A1 (en) * | 2014-05-23 | 2015-11-26 | California Institute Of Technology | Systems and Methods for Optimal Power Flow on a Radial Network |
| CN105186494A (en) * | 2015-08-31 | 2015-12-23 | 深圳库博能源科技有限公司 | Electric network analysis system and method |
| CN107895953A (en) * | 2017-10-18 | 2018-04-10 | 南京海兴电网技术有限公司 | A kind of distribution tidal current computing method of adaptive grid structure |
-
2018
- 2018-07-19 CN CN201810798045.6A patent/CN109687464B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103762591A (en) * | 2014-01-16 | 2014-04-30 | 国家电网公司 | Power distribution network topology layout method |
| US20150340863A1 (en) * | 2014-05-23 | 2015-11-26 | California Institute Of Technology | Systems and Methods for Optimal Power Flow on a Radial Network |
| CN104113061A (en) * | 2014-07-30 | 2014-10-22 | 国家电网公司 | Three-phase load flow calculation method of power distribution network with distributed power supply |
| CN105186494A (en) * | 2015-08-31 | 2015-12-23 | 深圳库博能源科技有限公司 | Electric network analysis system and method |
| CN107895953A (en) * | 2017-10-18 | 2018-04-10 | 南京海兴电网技术有限公司 | A kind of distribution tidal current computing method of adaptive grid structure |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116882408A (en) * | 2023-09-07 | 2023-10-13 | 南方电网数字电网研究院有限公司 | Construction method and device of transformer graph model, computer equipment and storage medium |
| CN116882408B (en) * | 2023-09-07 | 2024-02-27 | 南方电网数字电网研究院有限公司 | Construction method and device of transformer graph model, computer equipment and storage medium |
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