Automatic power distribution network line topology identification device based on 10kV carrier technology

Abstract

The invention discloses an automatic power distribution network line identification device based on a 10kV carrier technology, and belongs to the technical field of power system automation. The device is deployed in a transformer substation, an interconnection switch and a terminal node for automatic networking, line topology dynamic identification and graphical output are achieved through carrier signal path analysis, and fault risk points are marked. The method has the advantages of being low in cost, high in adaptability, high in real-time performance and suitable for operation and maintenance management of the intelligent power distribution network.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system automation, and particularly relates to a device for automatically identifying the topology of a distribution network line and generating a structure diagram through 10kV carrier communication, which is applicable to the intelligent monitoring and networking of substation intervals, line connection switches, and terminal nodes. Background Art

[0002] In the prior art, the following problems exist in the topology identification of the distribution network:

[0003] Poor data quality: There is a large amount of noise interference in the low-voltage distribution network, such as co-cable trench and co-ground interference, which leads to unstable transmission of carrier signals.

[0004] Low topology identification efficiency: Traditional methods rely on manual inspection or off-line calculation and cannot update the dynamic network structure in real time.

[0005] Incompatible communication protocols: The data formats of different nodes vary greatly, making it difficult to achieve standardized networking.

[0006] Hardware limitations: Existing devices have insufficient anti-interference ability in high-voltage environments and high installation complexity. Summary of the Invention

[0007] To solve the problems in the above background art, the present invention provides a device for automatically identifying the topology of a distribution network line based on 10kV carrier technology, which can generate a topology structure diagram using carrier signals and obtain fault prediction points using a convolutional neural network model, thereby reducing costs and improving the speed and adaptability of identification.

[0008] To achieve the above object, the present invention provides a device for automatically identifying the topology of a distribution network line based on 10kV carrier technology, including a main control module, a carrier communication module, a topology analysis module, and a data acquisition module;

[0009] The main control module is used to control the start and stop of carrier signal broadcasting;

[0010] The carrier communication module is used to transmit topology data through a 10kV power line;

[0011] The topology analysis module realizes local topology analysis and fault warning;

[0012] The data acquisition module is used to collect line electrical parameters and environmental data.

[0013] Furthermore, the carrier communication module adopts 10kV power line carrier technology, supports dynamic frequency band switching, has a transmission rate ≥ 100kbps, a single-hop distance ≤ 10km, and an anti-interference ability ≥ 30dB.

[0014] Furthermore, the topology analysis module has a built-in edge computing unit and integrates a depth-first search algorithm and a convolutional neural network model.

[0015] Furthermore, the data acquisition module includes: a temperature sensor, a current sensor, and a voltage sensor;

[0016] The temperature sensor is used to collect temperature information;

[0017] The current sensor is used to collect current information;

[0018] The voltage sensor is used to collect voltage information.

[0019] Furthermore, the carrier communication module uses a self-organizing network protocol, is extended based on the IEC 104 protocol, and supports plug-and-play and dynamic node registration.

[0020] In a preferred solution, the frequency band dynamically switches, and the switching range is 50 - 500 kHz.

[0021] Furthermore, the depth-first search algorithm is used to dynamically scan the grid structure and generate an initial topology graph;

[0022] The convolutional neural network model analyzes partial discharge signals to achieve fault prediction.

[0023] A method for using a device for automatically identifying the topology of a 10 kV distribution network line based on carrier technology, the steps of which are as follows:

[0024] S1 Deploy the device at substation intervals, tie switches, and terminal nodes;

[0025] S2 The main control module starts broadcasting carrier signals, and the device automatically forms a network through the carrier signals;

[0026] S3 Each node exchanges the electrical parameters collected by the acquisition module and sends the data to the topology analysis module;

[0027] S4 After the topology analysis module receives the data, the edge computing unit runs the depth-first search algorithm to generate an initial topology structure diagram. At the same time, using the convolutional neural network model, it analyzes partial discharge signals to obtain fault risk point information and uploads it to the master station;

[0028] S5 The master station combines the data of the geographic information system to optimize the layout, generates a final topology structure diagram, and marks the fault risk points.

[0029] In a preferred solution, in step S4, the method for generating the topology structure diagram is: using algorithms such as Dijkstra, AODV, or OLSR to generate a routing table or a tree structure.

[0030] Beneficial effects: The present invention has the advantages of low cost, strong self - adaptability and high real - time performance, and is applicable to the operation and maintenance management of intelligent distribution networks. Description of the Drawings

[0031] The present invention will be further described below in conjunction with the drawings and embodiments:

[0032] Figure 1 It is a schematic structural diagram of the device of the present invention;

[0033] Figure 2 It is a flow chart of the usage method of the device of the present invention. Detailed Embodiments

[0034] Embodiment 1

[0035] As Figure 1 shown, a device for automatically identifying the topology of a distribution network line based on 10kV carrier technology includes a main control module, a carrier communication module, a topology analysis module, and a data acquisition module;

[0036] The data acquisition module includes a temperature sensor, a current sensor, and a voltage sensor. After collecting temperature, current, and voltage data, it uses the carrier communication module to send the data to the topology analysis module;

[0037] The edge computing unit in the topology analysis module runs a depth - first search algorithm to dynamically scan the grid structure, generate an initial topology structure diagram, and uses a convolutional neural network model to analyze partial discharge signals. After obtaining the fault risk point information, it uploads the data to the master station using the carrier communication module;

[0038] The master station combines the data of the geographic information system to optimize the layout, generates the final topology structure diagram and marks the fault risk points.

[0039] Furthermore, the carrier communication module uses 10kV power line carrier technology, supports dynamic frequency band switching, has a transmission rate ≥ 100kbps, a single - hop distance ≤ 10km, an anti - interference ability ≥ 30dB, and is connected to the master station. It uses a self - organizing network protocol, is extended based on the IEC 104 protocol, and supports plug - and - play and dynamic node registration.

[0040] In a preferred solution, the dynamic frequency band switching has a switching range of 50 - 500kHz.

[0041] Embodiment 2

[0042] As Figure 2 shown, a usage method of a device for automatically identifying the topology of a distribution network line based on 10kV carrier technology includes the following steps:

[0043] S1 Deploy the device at substation intervals, tie switches, and terminal nodes;

[0044] The S2 main control module starts broadcasting carrier signals, and the device automatically forms a network through the carrier signals;

[0045] In S3, each node exchanges the electrical parameters collected by the acquisition module and sends the data to the topology analysis module;

[0046] In S4, after the topology analysis module receives the data, the edge computing unit runs the depth-first search algorithm to generate an initial topology structure diagram. At the same time, using the convolutional neural network model, it analyzes the partial discharge signals to obtain the information of the fault risk points and uploads them to the master station;

[0047] In S5, the master station combines the data of the geographic information system to optimize the layout, generates the final topology structure diagram and marks the fault risk points.

[0048] In the preferred solution, in the step S4, the method for generating the topology structure diagram is: using algorithms such as Dijkstra, AODV or OLSR to generate a routing table or a tree structure.

[0049] The above embodiments are only the preferred technical solutions of the present invention and should not be regarded as limitations on the present invention. The protection scope of the present invention should be the technical solutions recorded in the claims, including the equivalent replacement solutions of the technical features in the technical solutions recorded in the claims. That is, the equivalent replacement improvements within this scope are also within the protection scope of the present invention.

Claims

1. A distribution network line topology automatic identification device based on 10kV carrier technology, characterized in that: It includes main control module, carrier communication module, topology analysis module and data acquisition module; The main control module is used to control the start and stop of the carrier signal broadcast; Carrier communication module, used to transmit topology data through 10kV power lines; Topology analysis module, which realizes localized topology analysis and fault warning; Data acquisition module, used to collect line electrical parameters and environmental data.

2. The device according to claim 1, characterized in that: The carrier communication module adopts 10kV power line carrier technology, supports dynamic switching of frequency bands, has a transmission rate ≥100kbps, a single hop distance ≤10km, and an anti-interference capability ≥30dB.

3. The device according to claim 1, characterized in that: The topology analysis module has a built-in edge computing unit and integrates a depth-first search algorithm and a convolutional neural network model.

4. The device according to claim 1, characterized in that: The data acquisition module includes: a temperature sensor, a current sensor, and a voltage sensor; The temperature sensor is used to collect temperature information; The current sensor is used to collect current information; The voltage sensor is used to collect voltage information.

5. The device according to claim 1, characterized in that: The carrier communication module uses a self-organizing network protocol, is based on the IEC 104 protocol extension, and supports plug-and-play and dynamic node registration.

6. The device according to claim 2, characterized in that: The frequency band is dynamically switched, and its switching range is 50-500kHz.

7. The device according to claim 3, characterized in that: The depth-first search algorithm is used to dynamically scan the grid structure and generate an initial topology graph; The convolutional neural network model analyzes partial discharge signals and realizes fault prediction.

8. The device according to claim 1, characterized in that The carrier communication module is also connected to the main station.

9. A method for using a distribution network line topology automatic identification device based on 10kV carrier technology, characterized in that: The steps are: S1 deploys the device in substation bays, tie switches and terminal nodes; The S2 main control module starts the carrier signal broadcast, and the device automatically forms a network through the carrier signal; Each node in S3 exchanges the electrical parameters collected by the collection module and sends the data to the topology analysis module; After receiving the data, the edge computing unit of the S4 topology analysis module runs a depth-first search algorithm to generate an initial topology diagram. At the same time, it uses a convolutional neural network model to analyze the partial discharge signal, obtain the fault risk point information, and upload it to the master station. The S5 master station optimizes the layout by combining data from the geographic information system, generates the final topology diagram, and marks fault risk points.

10. The method of use according to claim 9, characterized in that: In the step S4, the method for generating the topology diagram is: using algorithms such as Dijkstra, AODV or OLSR to generate a routing table or a tree structure.

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