CN113363965B - Dynamic identification method for topological structure of low-voltage power distribution network - Google Patents
Dynamic identification method for topological structure of low-voltage power distribution network Download PDFInfo
- Publication number
- CN113363965B CN113363965B CN202110600349.9A CN202110600349A CN113363965B CN 113363965 B CN113363965 B CN 113363965B CN 202110600349 A CN202110600349 A CN 202110600349A CN 113363965 B CN113363965 B CN 113363965B
- Authority
- CN
- China
- Prior art keywords
- low
- equipment
- intelligent carrier
- voltage
- voltage intelligent
- 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
Classifications
-
- 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
-
- 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]
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention provides a dynamic identification method of a topological structure of a low-voltage power distribution network, which comprises the following steps: updating an initial topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network according to the network state of each low-voltage intelligent carrier device in the low-voltage power distribution network; matching topology models of all low-voltage intelligent carrier equipment in the low-voltage power distribution network to obtain a topology structure of the low-voltage power distribution network; the initial topology model of the low-voltage intelligent carrier equipment consists of equipment information of the low-voltage intelligent carrier equipment, equipment information of upstream equipment of the low-voltage intelligent carrier equipment, equipment information of all downstream equipment of the low-voltage intelligent carrier equipment and connection states. By using the method provided by the invention, when the carrier equipment in the low-voltage distribution network changes, the disconnection and reconnection of the equipment can be automatically identified, the topology identification of minute level is realized, the topology diagram is automatically drawn, and the time cost and the labor cost are greatly saved.
Description
Technical Field
The invention belongs to the field of intelligent terminals of power distribution areas, and particularly relates to a dynamic identification method of a topological structure of a low-voltage power distribution network.
Background
With the continuous development of the scale of smart grids, planning and design of the network structure of the power system and carding become particularly important. In the previous development process of the power grid, a plurality of power grid topological structures are unclear, so that unstable factors or potential safety hazards possibly exist in the existing power grid topological structures, and the method has a great influence on solving faults in the first time of unexpected occurrence.
The topology identification of the existing method needs on-site personnel to compare, connect and draw lines of equipment one by one, is time-consuming, requires a great deal of manpower to finish topology drawing of a platform area, cannot be automatically identified under the conditions of equipment disconnection or reconnection and the like, and still needs to be processed by the on-site personnel. Therefore, a method capable of accurately identifying the topological structure of the power grid system is urgently needed.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a dynamic identification method of a topological structure of a low-voltage power distribution network, which comprises the following steps:
updating an initial topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network according to the network state of each low-voltage intelligent carrier device in the low-voltage power distribution network;
matching topology models of all low-voltage intelligent carrier equipment in the low-voltage power distribution network to obtain a topology structure of the low-voltage power distribution network;
the initial topology model of the low-voltage intelligent carrier equipment consists of equipment information of the low-voltage intelligent carrier equipment, equipment information of upstream equipment of the low-voltage intelligent carrier equipment, equipment information of all downstream equipment of the low-voltage intelligent carrier equipment and connection states.
Preferably, the updating the initial topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network according to the network state of each low-voltage intelligent carrier device in the low-voltage power distribution network includes:
when the network state of the low-voltage intelligent carrier equipment is a network access state, updating the equipment information of the upstream equipment in the initial topology model of the low-voltage intelligent carrier equipment by using the actual equipment information of the upstream equipment of the low-voltage intelligent carrier equipment, adding the equipment information of the low-voltage intelligent carrier equipment into the initial topology model of the upstream equipment of the low-voltage intelligent carrier equipment, and setting the connection state to be connected.
Preferably, the matching the topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network to obtain a topology structure of the low-voltage power distribution network includes:
respectively transmitting the topology model of the low-voltage intelligent carrier equipment and the upstream equipment of the low-voltage intelligent carrier equipment to side equipment;
storing the topology models of the low-voltage intelligent carrier equipment and the upstream equipment of the low-voltage intelligent carrier equipment into a topology model library of the side equipment, and sending the topology models of the low-voltage intelligent carrier equipment and the upstream equipment of the low-voltage intelligent carrier equipment to a cloud master station;
and matching the topology model of the low-voltage intelligent carrier equipment with the topology model of the upstream equipment of the low-voltage intelligent carrier equipment through the cloud master station to obtain a topology structure of the low-voltage power distribution network.
Preferably, the updating the initial topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network according to the network state of each low-voltage intelligent carrier device in the low-voltage power distribution network includes:
when the network state of the low-voltage intelligent carrier equipment is a re-networking state, judging whether the upstream equipment of the low-voltage intelligent carrier equipment is changed or not:
if yes, deleting the equipment information and the connection state corresponding to the low-voltage intelligent carrier equipment in the initial topology model of the original upstream equipment; updating the equipment information of the upstream equipment in the initial topology model of the low-voltage intelligent carrier equipment by using the actual equipment information of the new upstream equipment of the low-voltage intelligent carrier equipment, adding the equipment information of the low-voltage intelligent carrier equipment into the initial topology model of the new upstream equipment of the low-voltage intelligent carrier equipment, and setting the connection state as connection;
otherwise, updating the device information of the upstream device in the initial topology model of the low-voltage intelligent carrier device by using the actual device information of the upstream device of the low-voltage intelligent carrier device, adding the device information of the low-voltage intelligent carrier device into the initial topology model of the upstream device of the low-voltage intelligent carrier device, and setting the connection state as connection.
Preferably, the matching the topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network to obtain a topology structure of the low-voltage power distribution network includes:
when the upstream equipment of the low-voltage intelligent carrier equipment is not changed, respectively transmitting the low-voltage intelligent carrier equipment and the topology model of the upstream equipment of the low-voltage intelligent carrier equipment to the side equipment;
storing the topology models of the low-voltage intelligent carrier equipment and the upstream equipment of the low-voltage intelligent carrier equipment into a topology model library of the side equipment, and sending the topology models of the low-voltage intelligent carrier equipment and the upstream equipment of the low-voltage intelligent carrier equipment to a cloud master station;
and matching the topology model of the low-voltage intelligent carrier equipment with the topology model of the upstream equipment of the low-voltage intelligent carrier equipment through the cloud master station to obtain a topology structure of the low-voltage power distribution network.
Preferably, the matching the topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network to obtain a topology structure of the low-voltage power distribution network includes:
when the upstream equipment of the low-voltage intelligent carrier equipment is changed, respectively sending the topology models of the low-voltage intelligent carrier equipment, the original upstream equipment of the low-voltage intelligent carrier equipment and the new upstream equipment of the low-voltage intelligent carrier equipment to side equipment;
storing the topology models of the low-voltage intelligent carrier equipment and the new upstream equipment of the low-voltage intelligent carrier equipment into a topology model library of the side equipment, and sending the topology models of the low-voltage intelligent carrier equipment, the original upstream equipment of the low-voltage intelligent carrier equipment and the new upstream equipment of the low-voltage intelligent carrier equipment to a cloud master station;
and matching the topology model of the low-voltage intelligent carrier equipment with the topology model of the upstream equipment of the low-voltage intelligent carrier equipment through the cloud master station, and deleting the connection relation between the original upstream equipment and the low-voltage intelligent carrier equipment to obtain the topology structure of the low-voltage power distribution network.
Preferably, the updating the initial topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network according to the network state of each low-voltage intelligent carrier device in the low-voltage power distribution network includes:
and when the network state of the low-voltage intelligent carrier equipment is a network connection interruption state, updating the connection state of the corresponding low-voltage intelligent carrier equipment in the initial topology model of the upstream equipment of the low-voltage intelligent carrier equipment into interruption.
Preferably, the matching the topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network to obtain a topology structure of the low-voltage power distribution network includes:
transmitting a topology model of an upstream device of the low-voltage intelligent carrier device to an edge device;
updating a topology model library of the side equipment according to the topology model of the upstream equipment of the low-voltage intelligent carrier equipment, and sending the topology model of the upstream equipment of the low-voltage intelligent carrier equipment to a cloud master station;
and analyzing the topology model of the upstream equipment of the low-voltage intelligent carrier equipment through the cloud master station to obtain the topology structure of the low-voltage power distribution network.
Compared with the closest prior art, the invention has the following beneficial effects:
the invention provides a dynamic identification method of a topological structure of a low-voltage power distribution network, which comprises the following steps: updating an initial topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network according to the network state of each low-voltage intelligent carrier device in the low-voltage power distribution network; matching topology models of all low-voltage intelligent carrier equipment in the low-voltage power distribution network to obtain a topology structure of the low-voltage power distribution network; the initial topology model of the low-voltage intelligent carrier equipment consists of equipment information of the low-voltage intelligent carrier equipment, equipment information of upstream equipment of the low-voltage intelligent carrier equipment, equipment information of all downstream equipment of the low-voltage intelligent carrier equipment and connection states. By using the method provided by the invention, when the carrier equipment in the low-voltage distribution network changes, disconnection and reconnection of the equipment can be automatically identified, and a topological graph can be automatically drawn.
The invention can achieve the topology identification of minute level, and greatly saves the time cost and the labor cost.
Drawings
FIG. 1 is a schematic flow chart of a dynamic identification method of a topology structure of a low-voltage distribution network;
fig. 2 is a schematic diagram of a smart grid provided by the present invention;
FIG. 3 is a schematic diagram of an intelligent topology model provided by the present invention;
fig. 4 is a flowchart of network access topology identification of a device provided by the present invention;
FIG. 5 is a flowchart for identifying a network re-entry topology of a device according to the present invention;
FIG. 6 is a flow chart of topology identification provided by the present invention;
fig. 7 is a flowchart for identifying a device connection interruption topology according to the present invention.
Detailed Description
The following describes the embodiments of the present invention in further detail with reference to the drawings.
Example 1:
the flow chart of the dynamic identification method of the topological structure of the low-voltage distribution network provided by the invention is shown in figure 1, and the method comprises the following steps:
step 1: updating an initial topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network according to the network state of each low-voltage intelligent carrier device in the low-voltage power distribution network;
step 2: matching topology models of all low-voltage intelligent carrier equipment in the low-voltage power distribution network to obtain a topology structure of the low-voltage power distribution network;
the initial topology model of the low-voltage intelligent carrier equipment consists of equipment information of the low-voltage intelligent carrier equipment, equipment information of upstream equipment of the low-voltage intelligent carrier equipment, equipment information of all downstream equipment of the low-voltage intelligent carrier equipment and connection states.
The invention provides a dynamic identification method of a topological structure of a low-voltage distribution network, which generally comprises a cloud main station, edge computing equipment (hereinafter referred to as edge equipment) and low-voltage intelligent carrier equipment (hereinafter referred to as end equipment) in a smart grid system, wherein the system structure is shown in a figure 2. In this embodiment, the low-voltage power distribution network is a smart grid.
The invention integrates the intelligent topology identification unit in the side equipment and the end equipment, and performs intelligent topology identification by means of the intelligent topology model. The invention comprises the topology identification of three situations of new end equipment network access identification, end equipment networking identification again and end equipment network connection interruption identification.
End device network access scenario: after the network access of the terminal equipment is successful, an upstream-downstream relation is formed between the terminal equipment and other low-voltage intelligent carrier equipment in the low-voltage power distribution network, at the moment, the terminal equipment updates its own topology model, model information of the upstream equipment is added in the upstream equipment of the model, then the topology model is sent to the side equipment, then the own model information is sent to the upstream equipment, the upstream equipment updates its own topology model after receiving the model information of the terminal equipment, model information of the terminal equipment is added in the downstream equipment of the model, and then the own topology model is sent to the side equipment. After receiving the topology model, the edge device stores the topology model library of the edge device, and then sends the topology model library to the cloud master station, and Yun Zhuzhan completes drawing of topology identification by matching the topology models reported by the devices.
When the network state of the low-voltage intelligent carrier equipment is a re-networking state, the step 1 specifically includes:
judging whether upstream equipment of the low-voltage intelligent carrier equipment is changed or not:
if yes, deleting the equipment information and the connection state corresponding to the low-voltage intelligent carrier equipment in the initial topology model of the original upstream equipment; updating the equipment information of the upstream equipment in the initial topology model of the low-voltage intelligent carrier equipment by using the actual equipment information of the new upstream equipment of the low-voltage intelligent carrier equipment, adding the equipment information of the low-voltage intelligent carrier equipment into the initial topology model of the new upstream equipment of the low-voltage intelligent carrier equipment, and setting the connection state as connection;
otherwise, updating the device information of the upstream device in the initial topology model of the low-voltage intelligent carrier device by using the actual device information of the upstream device of the low-voltage intelligent carrier device, adding the device information of the low-voltage intelligent carrier device into the initial topology model of the upstream device of the low-voltage intelligent carrier device, and setting the connection state as connection.
When the network state of the low-voltage intelligent carrier equipment is a re-networking state, the step 2 specifically includes:
when the upstream equipment of the low-voltage intelligent carrier equipment is changed, respectively sending the topology models of the low-voltage intelligent carrier equipment, the original upstream equipment of the low-voltage intelligent carrier equipment and the new upstream equipment of the low-voltage intelligent carrier equipment to side equipment;
storing the topology models of the low-voltage intelligent carrier equipment and the new upstream equipment of the low-voltage intelligent carrier equipment into a topology model library of the side equipment, and sending the topology models of the low-voltage intelligent carrier equipment, the original upstream equipment of the low-voltage intelligent carrier equipment and the new upstream equipment of the low-voltage intelligent carrier equipment to a cloud master station;
matching a topology model of the low-voltage intelligent carrier equipment with a topology model of upstream equipment of the low-voltage intelligent carrier equipment through the cloud master station, and deleting the connection relation between the original upstream equipment and the low-voltage intelligent carrier equipment to obtain a topology structure of a low-voltage power distribution network;
when the upstream equipment of the low-voltage intelligent carrier equipment is not changed, respectively transmitting the low-voltage intelligent carrier equipment and the topology model of the upstream equipment of the low-voltage intelligent carrier equipment to the side equipment;
storing the topology models of the low-voltage intelligent carrier equipment and the upstream equipment of the low-voltage intelligent carrier equipment into a topology model library of the side equipment, and sending the topology models of the low-voltage intelligent carrier equipment and the upstream equipment of the low-voltage intelligent carrier equipment to a cloud master station;
and matching the topology model of the low-voltage intelligent carrier equipment with the topology model of the upstream equipment of the low-voltage intelligent carrier equipment through the cloud master station to obtain a topology structure of the low-voltage power distribution network.
End device re-networking scenario: if the upstream device of the end device does not change, the topology identification process is consistent with the network access scenario of the new device. If the upstream equipment of the end equipment changes, a command for deleting the original matching relation is required to be sent to the side equipment, the side equipment modifies the topology model of the original upstream equipment in a model base after receiving the command for deleting the matching information, then sends the command for deleting the model matching to the original equipment, meanwhile, the modified original upstream equipment model is sent to the cloud master station, and after receiving the command for deleting the model matching, the original equipment deletes the model information of the end equipment from the topology model. The subsequent model identification process is consistent with the network access scenario of the new equipment.
End device network connection disruption scenario: in the invention, the connection interruption condition of the terminal equipment is perceived by the upstream equipment, when the upstream equipment discovers that the terminal equipment is connected with the terminal equipment, the self topology model is modified, the connection state between the model and the terminal equipment is changed into interruption, then the changed topology model is sent to the side equipment, after the side equipment receives the model, the self topology model library is updated firstly, then the received model is sent to the cloud master station, and the topology relation drawing is completed by matching the model Yun Zhuzhan.
The cloud master station is a system deployed at the cloud end, and can realize centralized data acquisition and management of an edge internet of things agent and an intelligent service terminal.
The edge device: the intelligent terminal equipment integrates the functions of measuring data acquisition, equipment state monitoring, communication networking management, in-situ analysis decision, collaborative calculation and the like of the distribution area.
The end device: namely, the low-voltage intelligent carrier equipment is intelligent carrier equipment and has the functions of storage and communication.
The intelligent topology identification unit is a program for identifying an intelligent topology model.
The intelligent topology model is used for recording the topology identification relation of the equipment, and the main information of the model comprises the type of the equipment, the unique identification of the equipment, the type of the upstream equipment, the unique identification of the upstream equipment, the type of the downstream equipment and the unique identification set of the downstream equipment, as shown in figure 3.
When the original method is used for topology identification, field personnel are required to compare equipment one by one, connect and draw lines, the time consumption is serious, a great deal of manpower is required for completing topology drawing of a platform area, the equipment cannot be automatically identified under the conditions of disconnection, reconnection and the like, and the equipment still needs to be processed by the field personnel. The invention can realize the topology identification of minute level, does not need operation and maintenance personnel on site, can automatically identify disconnection and reconnection of the flushing equipment, and automatically draws the topology graph.
Example 2:
the network topology identification process of the first device is shown in fig. 4, and the steps are as follows:
1. the low-voltage intelligent carrier equipment A is successfully registered to the network;
2. the device A updates a self topology model and increases topology model information of the upstream device B;
3. the device A sends the topology model to the side device and sends own device information to the upstream device B;
4. when equipment B receives equipment information of equipment A, updating a self topology model, and increasing topology model information of downstream equipment A;
5. the equipment B sends the self topology model to the side equipment;
6. after receiving the topology model, the side equipment stores the topology model into a topology model library and sends the topology model to a cloud master station;
7. and the cloud master station analyzes and matches the models, and if the models of the equipment A and the equipment B are successfully matched, topology identification drawing is completed.
The topology identification process of the second device re-networking is shown in fig. 5 and 6, wherein the topology identification process in fig. 5 is shown in fig. 6 in detail, and the steps are as follows:
1. the low-voltage intelligent carrier equipment A is successfully re-networked;
2. if the original upstream equipment B of the equipment A changes, the equipment A needs to send a topology model change request to the side equipment, and the equipment B is required to delete the model relation between the topology model and the equipment A;
3. after receiving the model change request of the equipment A, the side equipment sends a model deletion notification to the equipment B, and the equipment B is required to delete the model relation between the topology model and the equipment A;
4. after receiving the change information, the equipment B modifies the self topology model and deletes the model association information of the equipment A;
5. executing a topology identification flow:
the device A changes the topology model of the device A and adds new model information of the upstream device C;
6. the device A sends the self topology model to the side device and sends self device information to the device C;
7. when equipment C receives equipment information of equipment A, updating a topology model of the equipment C, and adding model information of the equipment A;
8. the device C sends the self topology model to the side device;
9. after receiving the topology model, the side equipment stores the topology model into a topology model library to replace the original topology model and sends the topology model to the cloud master;
10. the cloud master station analyzes the model to finish topology identification drawing of the equipment;
11. if the upstream device is unchanged when the device A re-enters the network, step 2 to step 4 are omitted.
(III) network connection interruption state topology identification is shown in fig. 7, and the steps are as follows:
1. the upstream device B discovers that the network connection with the downstream device A is interrupted;
2. the equipment B updates the self topology model and changes the connection state with the equipment A into a disconnection state;
3. the equipment B sends the changed topology model to the side equipment;
4. after receiving the topology model, the side equipment stores the topology model into a topology model library to replace the original topology model and sends the topology model to the cloud master;
5. and the cloud master station performs model analysis to finish topology identification drawing of the network connection interruption state.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the scope of protection thereof, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: various changes, modifications, or equivalents may be made to the particular embodiments of the invention by those skilled in the art after reading the present disclosure, but such changes, modifications, or equivalents are within the scope of the invention as defined in the appended claims.
Claims (5)
1. A method for dynamically identifying a topology of a low-voltage power distribution network, the method comprising:
updating an initial topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network according to the network state of each low-voltage intelligent carrier device in the low-voltage power distribution network;
matching topology models of all low-voltage intelligent carrier equipment in the low-voltage power distribution network to obtain a topology structure of the low-voltage power distribution network;
the initial topology model of the low-voltage intelligent carrier equipment consists of equipment information of the low-voltage intelligent carrier equipment, equipment information of upstream equipment of the low-voltage intelligent carrier equipment, equipment information of all downstream equipment of the low-voltage intelligent carrier equipment and connection states;
the updating of the initial topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network according to the network state of each low-voltage intelligent carrier device in the low-voltage power distribution network comprises the following steps:
when the network state of the low-voltage intelligent carrier equipment is a re-networking state, judging whether the upstream equipment of the low-voltage intelligent carrier equipment is changed or not: if yes, deleting the equipment information and the connection state corresponding to the low-voltage intelligent carrier equipment in the initial topology model of the original upstream equipment; updating the equipment information of the upstream equipment in the initial topology model of the low-voltage intelligent carrier equipment by using the actual equipment information of the new upstream equipment of the low-voltage intelligent carrier equipment, adding the equipment information of the low-voltage intelligent carrier equipment into the initial topology model of the new upstream equipment of the low-voltage intelligent carrier equipment, and setting the connection state as connection; otherwise, updating the device information of the upstream device in the initial topology model of the low-voltage intelligent carrier device by using the actual device information of the upstream device of the low-voltage intelligent carrier device, adding the device information of the low-voltage intelligent carrier device into the initial topology model of the upstream device of the low-voltage intelligent carrier device, and setting the connection state as connection;
matching the topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network to obtain the topology structure of the low-voltage power distribution network comprises the following steps:
when the upstream equipment of the low-voltage intelligent carrier equipment is not changed, respectively transmitting the low-voltage intelligent carrier equipment and the topology model of the upstream equipment of the low-voltage intelligent carrier equipment to the side equipment; storing the topology models of the low-voltage intelligent carrier equipment and the upstream equipment of the low-voltage intelligent carrier equipment into a topology model library of the side equipment, and sending the topology models of the low-voltage intelligent carrier equipment and the upstream equipment of the low-voltage intelligent carrier equipment to a cloud master station; matching a topology model of the low-voltage intelligent carrier equipment with a topology model of equipment upstream of the low-voltage intelligent carrier equipment through the cloud master station to obtain a topology structure of a low-voltage power distribution network;
when the upstream equipment of the low-voltage intelligent carrier equipment is changed, respectively sending the topology models of the low-voltage intelligent carrier equipment, the original upstream equipment of the low-voltage intelligent carrier equipment and the new upstream equipment of the low-voltage intelligent carrier equipment to side equipment; storing the topology models of the low-voltage intelligent carrier equipment and the new upstream equipment of the low-voltage intelligent carrier equipment into a topology model library of the side equipment, and sending the topology models of the low-voltage intelligent carrier equipment, the original upstream equipment of the low-voltage intelligent carrier equipment and the new upstream equipment of the low-voltage intelligent carrier equipment to a cloud master station; and matching the topology model of the low-voltage intelligent carrier equipment with the topology model of the new upstream equipment of the low-voltage intelligent carrier equipment through the cloud master station, and deleting the connection relation between the original upstream equipment and the low-voltage intelligent carrier equipment to obtain the topology structure of the low-voltage power distribution network.
2. The method of claim 1, wherein updating the initial topology model of each low-voltage smart carrier device in the low-voltage power distribution network based on the network status of each low-voltage smart carrier device in the low-voltage power distribution network comprises:
when the network state of the low-voltage intelligent carrier equipment is a network access state, updating the equipment information of the upstream equipment in the initial topology model of the low-voltage intelligent carrier equipment by using the actual equipment information of the upstream equipment of the low-voltage intelligent carrier equipment, adding the equipment information of the low-voltage intelligent carrier equipment into the initial topology model of the upstream equipment of the low-voltage intelligent carrier equipment, and setting the connection state to be connected.
3. The method of claim 2, wherein the matching the topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network to obtain the topology structure of the low-voltage power distribution network comprises:
when the network state of the low-voltage intelligent carrier equipment is a network access state, respectively transmitting the topology models of the low-voltage intelligent carrier equipment and upstream equipment of the low-voltage intelligent carrier equipment to side equipment;
storing the topology models of the low-voltage intelligent carrier equipment and the upstream equipment of the low-voltage intelligent carrier equipment into a topology model library of the side equipment, and sending the topology models of the low-voltage intelligent carrier equipment and the upstream equipment of the low-voltage intelligent carrier equipment to a cloud master station;
and matching the topology model of the low-voltage intelligent carrier equipment with the topology model of the upstream equipment of the low-voltage intelligent carrier equipment through the cloud master station to obtain a topology structure of the low-voltage power distribution network.
4. The method of claim 1, wherein updating the initial topology model of each low-voltage smart carrier device in the low-voltage power distribution network based on the network status of each low-voltage smart carrier device in the low-voltage power distribution network comprises:
and when the network state of the low-voltage intelligent carrier equipment is a network connection interruption state, updating the connection state of the corresponding low-voltage intelligent carrier equipment in the initial topology model of the upstream equipment of the low-voltage intelligent carrier equipment into interruption.
5. The method of claim 4, wherein the matching the topology model of each low-voltage intelligent carrier device in the low-voltage power distribution network to obtain the topology structure of the low-voltage power distribution network comprises:
when the network state of the low-voltage intelligent carrier equipment is a network connection interruption state, sending a topology model of upstream equipment of the low-voltage intelligent carrier equipment to side equipment; updating a topology model library of the side equipment according to the topology model of the upstream equipment of the low-voltage intelligent carrier equipment, and sending the topology model of the upstream equipment of the low-voltage intelligent carrier equipment to a cloud master station; and analyzing the topology model of the upstream equipment of the low-voltage intelligent carrier equipment through the cloud master station to obtain the topology structure of the low-voltage power distribution network.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110600349.9A CN113363965B (en) | 2021-05-31 | 2021-05-31 | Dynamic identification method for topological structure of low-voltage power distribution network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110600349.9A CN113363965B (en) | 2021-05-31 | 2021-05-31 | Dynamic identification method for topological structure of low-voltage power distribution network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113363965A CN113363965A (en) | 2021-09-07 |
| CN113363965B true CN113363965B (en) | 2023-09-22 |
Family
ID=77530364
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110600349.9A Active CN113363965B (en) | 2021-05-31 | 2021-05-31 | Dynamic identification method for topological structure of low-voltage power distribution network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113363965B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103701122A (en) * | 2014-01-06 | 2014-04-02 | 华北电力大学 | Power grid topology analysis system based on incidence matrix and circuit matrix and method thereof |
| CN108832626A (en) * | 2018-07-06 | 2018-11-16 | 北京中电普华信息技术有限公司 | A kind of low-voltage power distribution station area topology identification method and system |
-
2021
- 2021-05-31 CN CN202110600349.9A patent/CN113363965B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103701122A (en) * | 2014-01-06 | 2014-04-02 | 华北电力大学 | Power grid topology analysis system based on incidence matrix and circuit matrix and method thereof |
| CN108832626A (en) * | 2018-07-06 | 2018-11-16 | 北京中电普华信息技术有限公司 | A kind of low-voltage power distribution station area topology identification method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113363965A (en) | 2021-09-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110794800B (en) | Intelligent factory information management monitoring system | |
| CN108322345A (en) | A kind of dissemination method and server of fault restoration data packet | |
| CN107566165B (en) | Method and system for discovering and deploying available resources of power cloud data center | |
| CN109905492B (en) | Safety operation management system and method based on distributed modular data center | |
| CN106878363A (en) | A kind of information processing method, apparatus and system | |
| CN115373861B (en) | GPU resource scheduling method and device, electronic equipment and storage medium | |
| CN113986478A (en) | Resource migration strategy determination method and device | |
| CN109473945A (en) | A kind of verification of relay protection model data and method of automatic configuration | |
| CN113448947B (en) | Method and device for distributed deployment operation and maintenance of mongo database | |
| CN113363965B (en) | Dynamic identification method for topological structure of low-voltage power distribution network | |
| CN117670033A (en) | Security check method, system, electronic equipment and storage medium | |
| CN117424224A (en) | Power failure plan balance optimization method, device, equipment and storage medium | |
| CN110502257B (en) | Transformer substation monitoring information management, control and checking method | |
| CN104112183A (en) | Plug-and-play intelligent scheduling model management system and management method of intelligent substation | |
| CN109656589B (en) | Intelligent substation secondary equipment software management and control method and system | |
| CN115795359A (en) | Signal type distinguishing method and device and computer equipment | |
| CN113194124B (en) | Distributed real-time database-based DCS background multi-node directory synchronization method | |
| CN114116288A (en) | Fault processing method, device and computer program product | |
| CN112579402A (en) | Method and device for positioning faults of application system | |
| CN113835939A (en) | Method and device for processing fault information, storage medium and electronic device | |
| CN114070889A (en) | Configuration method, traffic forwarding method, device, storage medium, and program product | |
| CN108199482B (en) | Maintenance prompting method and device | |
| CN113553728A (en) | Method and system for generating intelligent substation station control layer application system model | |
| CN112363747A (en) | Data updating method and device in relay equipment online inspection process | |
| CN111159988A (en) | Model processing method and device, computer equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |