Overhead line operation state fault monitoring system and method

Abstract

The embodiment of the invention provides an overhead line operation state fault monitoring method and system, and the system comprises a distributed overhead monitoring module which is disposed on a pole-mounted circuit breaker of a distribution network overhead line, and cloud, side, and end network communication devices which are disposed. The monitoring module is used for acquiring operation data of the distribution network overhead line through the end side equipment and transmitting the acquired data of the distribution network overhead line to the side equipment; the side equipment is used for primarily processing and analyzing the data and then transmitting the processed data to the cloud equipment; the cloud equipment is used for performing data storage and deep analysis on the data transmitted by the side equipment, realizing real-time monitoring on distribution network topology and current flow direction, and intelligently identifying and detecting faults; the end-side device, the side-side device and the cloud-side device are connected through the cloud, side and end network communication device, and the network communication device is a wireless communication module or a wired communication module.

Description

Technical Field

[0001] This document relates to the field of electric power technology, and in particular to a system and method for monitoring faults in the operating status of overhead lines. Background Art

[0002] With the continuous development of power systems and the advancement of intelligentization, the requirements for the reliability, stability and intelligent management of distribution networks are becoming higher and higher. As an important link connecting the transmission network and users in the power system, the safe and stable operation of the overhead lines of the 10kV distribution network is crucial. In today's digital age, all walks of life are actively introducing intelligent and digital technologies to improve production efficiency and management level. The construction of smart grids has become an important development direction in the power field, and its goal is to achieve efficient operation of the power grid, rapid response to faults and precise management.

[0003] The overhead lines of the 10kV distribution network have complex structures, multiple branches and a large number of equipment, which poses great challenges to operation and maintenance. In the active distribution network, the access of distributed power sources makes the topology and flow direction of the distribution network more complex, and it is difficult for traditional monitoring methods to clearly grasp the operating status of the distribution network. Traditional distribution network monitoring methods mainly rely on manual inspections and limited automation equipment. Manual inspections are inefficient, costly, and difficult to achieve real-time monitoring of distribution network equipment. The inspection cycle is long, and faults cannot be discovered in time, which easily leads to the expansion of faults; limited automation equipment has low monitoring accuracy and single functions. When a line fails, the fault indicator can only give an approximate fault location range and cannot accurately locate the fault point. Moreover, these devices cannot monitor the topology and flow direction of the distribution network in real time, cannot meet the needs of smart grid construction, and seriously affect power supply reliability and user experience. Summary of the invention

[0004] One or more embodiments of this specification provide an overhead line operation status fault monitoring system, including: a distributed overhead type online monitoring module installed on a pole-mounted circuit breaker of a distribution network overhead line and deployed cloud, edge, and end network communication equipment;

[0005] The monitoring module is used to collect the operation data of the distribution network overhead line through the end-side device, and transmit the collected data of the distribution network overhead line to the edge-side device, wherein the end-side device includes a plurality of sensors arranged on the distribution network overhead line;

[0006] The edge device is used to perform preliminary processing and analysis on the data and then transmit the processed data to the cloud device;

[0007] Cloud devices are used to store and deeply analyze data transmitted by edge devices, realize real-time monitoring of distribution network topology and current flow, and intelligently identify and detect faults;

[0008] The cloud, edge and end network communication devices are used to connect end-side devices, edge-side devices and cloud-side devices, and the network communication devices are wireless communication modules or wired communication modules.

[0009] Furthermore, the sensors include current sensors, voltage sensors and ground current sensors, and the sensors are installed at branch nodes and fault-prone points of the distribution network overhead lines; the monitoring module is connected to the current and voltage measurement points of the pole-mounted circuit breaker through signal lines, and is used to collect the current, voltage and ground current data of the line respectively to obtain the operating parameters of the line.

[0010] Furthermore, the monitoring module is connected to an independent power supply module, and the power supply module is connected to a power supply system of the pole-mounted circuit breaker or an external power supply through a power line.

[0011] Furthermore, the edge device performs preliminary processing and analysis on the data transmitted from the end-side device, unpacks and filters the data through a digital signal processing algorithm to extract feature information, determines whether a fault exists, marks the faulty data, and analyzes the local topology of the distribution network; the processed data is compressed and re-encapsulated before being transmitted to the cloud device.

[0012] Furthermore, the cloud device is specifically used for:

[0013] Receive data transmitted from the edge equipment, classify and store the data in the database, analyze it using cloud computing technology and big data analysis algorithms, build an active distribution network topology, conduct a global analysis of the current flow of the distribution network, and accurately identify and classify faults based on fault data.

[0014] Furthermore, the cloud device is further used for:

[0015] After identifying the fault type, the cloud device gradually narrows down the possible scope of the fault and determines the specific location of the fault through collaborative analysis with edge and end devices based on the distribution network topology and the impact of the fault on different branches and nodes. Specifically:

[0016] Compare the real-time collected data with the preset normal operation data range and mode, and trigger the fault detection mechanism when the data is abnormal;

[0017] When abnormal data is detected, the fault type is determined based on the characteristics of the abnormal data and the preset fault identification algorithm;

[0018] After identifying the fault type, based on the distribution network topology and the impact of the fault on different branches and nodes, collaborative analysis between the cloud, edge, and end is used to narrow the fault scope and determine the specific location of the fault.

[0019] One or more embodiments of this specification provide a method for monitoring an overhead line operation status fault, including:

[0020] The operation data of the distribution network overhead line is collected by the end-side device, and the collected data of the distribution network overhead line is transmitted to the edge-side device, wherein the end-side device includes a plurality of sensors arranged on the distribution network overhead line;

[0021] Perform preliminary analysis and processing on the collected operation data through the edge devices, and transmit the processed data to the cloud devices;

[0022] The received data is stored and analyzed through cloud devices to achieve real-time monitoring of the distribution network topology and current flow, and a fault alarm is issued when abnormal data is detected.

[0023] Furthermore, the method further comprises:

[0024] Accurately identify and classify faults based on fault data. After identifying the fault type, the cloud device collaborates with edge and end devices to analyze based on the distribution network topology and the impact of the fault on different branches and nodes, gradually narrow down the possible scope of the fault and determine the specific location of the fault.

[0025] One or more embodiments of the present specification provide an electronic device, including:

[0026] processor; and,

[0027] A memory arranged to store computer executable instructions, which, when executed, enable the processor to implement the steps of the above-mentioned overhead line operation status fault monitoring method.

[0028] One or more embodiments of the present specification provide a storage medium for storing computer-executable instructions, wherein the computer-executable instructions implement the steps of the above-mentioned overhead line operation status fault monitoring method when executed.

[0029] By adopting the embodiment of the present invention, real-time monitoring of the overhead lines of the 10KV distribution network is realized, and operating parameters such as current flow direction and voltage can be accurately obtained, providing accurate data support for power grid planning, fault analysis and other tasks; by using advanced data analysis algorithms, the collected data is deeply analyzed, and the fault type can be quickly and intelligently identified, the fault location can be quickly determined, and accurate analysis of the distribution network topology and faults can be achieved, which greatly shortens the fault location time, improves the fault response speed, reduces the power outage time, improves the reliability and stability of the power grid operation, and improves the power supply reliability and user satisfaction; through the integrated design of the pole-mounted circuit breaker and the online monitoring module, and the integration of the digital sensor with the existing equipment, the equipment structure is simplified, the complexity and quantity of the equipment are reduced, the installation and maintenance costs of the equipment are reduced, and the reliability and service life of the equipment are improved.

[0030] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0032] Figure 1 A flowchart of a method for monitoring an overhead line operation status fault provided by one or more embodiments of this specification;

[0033] Figure 2 A schematic diagram of the composition of an overhead line operation status fault monitoring system provided for one or more embodiments of this specification;

[0034] Figure 3 A schematic diagram of the structure of an electronic device provided for one or more embodiments of this specification. DETAILED DESCRIPTION

[0035] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the following will be combined with the drawings in one or more embodiments of this specification to clearly and completely describe the technical solutions in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this document.

[0036] System Example

[0037] According to an embodiment of the present invention, a system for monitoring an overhead line operation status fault is provided. Figure 2 A schematic diagram of a system for monitoring the operation status of an overhead line according to one or more embodiments of the present specification is shown in FIG. Figure 2 As shown, the overhead line operation status fault monitoring system according to an embodiment of the present invention specifically includes: a distributed overhead online monitoring module 20 installed on the pole-mounted circuit breaker of the distribution network overhead line and deployed cloud, edge, and end network communication equipment.

[0038] In order to achieve effective monitoring of the operating status of the distribution network overhead lines, the pole-mounted circuit breaker is first structurally modified, and a special installation interface is designed to fix the distributed overhead online monitoring module 20. The monitoring module 20 is used to collect the operating data of the distribution network overhead lines through the end-side equipment, and transmit the collected data of the distribution network overhead lines to the side equipment. The end-side equipment includes a number of sensors arranged on the distribution network overhead lines. According to the characteristics and monitoring requirements of the distribution network overhead lines, appropriate types of digital sensors are selected. In this embodiment, the sensors provided include current sensors, voltage sensors and ground current sensors, and the sensors are installed at branch nodes and fault-prone points of the distribution network overhead lines: due to line branches, the distribution of current and voltage at branch nodes is relatively complex and prone to faults; fault-prone points are usually those line segments that are exposed to the natural environment for a long time and are greatly affected by wind, rain, lightning, etc.; the output port of the digital sensor is connected to the input port of the online monitoring module or edge device through a signal line; the signal input port of the monitoring module is connected to the current and voltage measurement points of the pole-mounted circuit breaker through a signal line, which are respectively used to collect the current, voltage and ground current data of the line to obtain the operating parameters of the line. The end-side device is connected to the edge-side device through wireless or wired communication to realize real-time data transmission.

[0039] The monitoring module is connected to an independent power supply module, and the power supply module is connected to a power system of a pole-mounted circuit breaker or an external power source through a power line.

[0040] The edge device 22 is used to perform preliminary processing and analysis on the data and then transmit the processed data to the cloud device.

[0041] The edge device performs preliminary processing and analysis on the data transmitted by the end-side device, unpacks and filters the data through a digital signal processing algorithm to extract feature information, determines whether there is a fault, marks the fault data, and analyzes the local topology of the distribution network; specifically:

[0042] When the edge device receives data transmitted by the end device, it first needs to unpack the data to restore the packaged data to the original data format to prepare for subsequent processing; for example, if the end device uses a specific data encapsulation protocol (such as TCP / IP protocol) to package and send the collected data, the edge device needs to restore the data according to the corresponding protocol rules so that it can identify and process the information in it;

[0043] Digital signal processing algorithms are used for filtering. Through filtering algorithms, noise that may come from electromagnetic interference around the line, errors in the sensor itself, or signal distortion during communication can be removed, making useful data signals clearer and improving data quality. Common filtering algorithms include low-pass filtering, high-pass filtering, and band-pass filtering, which filter out unnecessary signal components according to different frequency ranges. For example, for low-frequency noise, a high-pass filter can be used to remove it, retaining only useful signals above a certain frequency, so that subsequent data analysis is more accurate.

[0044] After the data is unpacked and filtered, the edge device will perform feature extraction operations to extract representative feature information from the processed data to reflect the operating status of the distribution network line. For example, for current data, its amplitude, frequency, phase and other features can be extracted; for voltage data, its effective value, peak value and other features can be extracted. These features can be used as an important basis for judging whether there is a fault in the distribution network line. By extracting these feature information, the edge device converts complex raw data into a more concise and representative data set, which is convenient for subsequent fault judgment.

[0045] Based on the extracted feature information, the edge device determines whether there is a fault. Specifically, it compares the currently extracted feature information with the feature range under normal operating conditions. If some features exceed the normal range, or the relationship between the features does not conform to the rules during normal operation, the edge device will mark the data as fault data; for example, if the amplitude of the current is within a relatively stable range during normal operation, and the currently extracted current amplitude exceeds this range, the edge device will believe that there may be a fault and mark the data as fault data.

[0046] In addition to fault diagnosis on the data, the edge equipment will also analyze the local topological structure of the distribution network. The topological structure of the distribution network involves the connection relationship and branching conditions of the lines. The analysis of the local topological structure can help understand which line branches or nodes may be involved in the location of the fault. By analyzing the topological information in the data, the edge equipment can evaluate the connection status of the distribution network in a local area and provide certain information for subsequent fault location. For example, based on the current data of different branch lines, it is possible to preliminarily determine the branch lines that may have faults, thereby narrowing the scope of the fault.

[0047] The processed data is compressed and repackaged before being transmitted to the cloud device.

[0048] The cloud device 24 is used to store and deeply analyze the data transmitted by the edge devices, realize real-time monitoring of the distribution network topology and current flow, and intelligently identify and detect faults.

[0049] The cloud device receives the data transmitted from the edge device, classifies and stores the data in the database, and then analyzes the data using cloud computing technology and big data analysis algorithms to build an active distribution network topology, conduct a global analysis of the current flow of the distribution network, and accurately identify and classify faults based on the fault data.

[0050] After identifying the fault type, the cloud device gradually narrows down the possible scope of the fault and determines the specific location of the fault through collaborative analysis with edge and end devices based on the distribution network topology and the impact of the fault on different branches and nodes. Specifically:

[0051] Continuously monitor the distribution network topology and current flow in real time, compare the real-time collected data with the preset normal operating data range and mode, and trigger the fault detection mechanism when the data is abnormal. When data abnormality is detected, determine the fault type based on the characteristics of the abnormal data and the preset fault identification algorithm. For example, by analyzing factors such as current mutations, voltage changes, and the action of protection devices, comprehensively determine whether it is a short circuit, open circuit, grounding or lightning strike fault. After identifying the fault type, based on the distribution network topology and the impact of the fault on different branches and nodes, collaborative analysis of the cloud, edge, and end is used to narrow the fault scope and determine the specific location of the fault.

[0052] The communication module of the cloud device is connected to the communication module of the edge device. The cloud device can also be connected to the terminal device of the operation and maintenance personnel through the network to achieve remote monitoring and management.

[0053] The cloud, edge and end network communication devices are used to connect end-side devices, edge-side devices and cloud-side devices. The network communication devices are wireless communication modules, such as 4G, 5G communication modules, or wired communication modules, such as optical fiber communication modules.

[0054] The beneficial effects of the present invention are as follows:

[0055] By adopting the embodiment of the present invention, real-time monitoring of the overhead lines of the 10KV distribution network is realized, and operating parameters such as current flow direction and voltage can be accurately obtained, providing accurate data support for power grid planning, fault analysis and other tasks; by using advanced data analysis algorithms, the collected data is deeply analyzed, and the fault type can be quickly and intelligently identified, the fault location can be quickly determined, and accurate analysis of the distribution network topology and faults can be achieved, which greatly shortens the fault location time, improves the fault response speed, reduces the power outage time, improves the reliability and stability of the power grid operation, and improves the power supply reliability and user satisfaction; through the integrated design of the pole-mounted circuit breaker and the online monitoring module, and the integration of the digital sensor with the existing equipment, the equipment structure is simplified, the complexity and quantity of the equipment are reduced, the installation and maintenance costs of the equipment are reduced, and the reliability and service life of the equipment are improved.

[0056] Method Embodiment

[0057] According to an embodiment of the present invention, a method for monitoring faults in an overhead line operation state is provided. Figure 1 A flowchart of a method for monitoring an overhead line operation status fault according to one or more embodiments of this specification is provided, such as Figure 1 As shown, the overhead line operation status fault monitoring method according to an embodiment of the present invention specifically includes:

[0058] S1. The operation data of the distribution network overhead line is collected by the end-side device, and the data collected by the distribution network overhead line is transmitted to the side device, wherein the end-side device includes a plurality of sensors arranged on the distribution network overhead line;

[0059] S2. Perform preliminary analysis and processing on the collected operation data through the side device, and transmit the processed data to the cloud device;

[0060] S3. The received data is stored and analyzed through cloud devices to achieve real-time monitoring of the distribution network topology and current flow, and a fault alarm is issued when abnormal data is detected.

[0061] Furthermore, accurate identification and classification of faults can be achieved based on fault data. After the fault type is identified, the cloud device conducts collaborative analysis with edge and end devices based on the distribution network topology and the impact of the fault on different branches and nodes, gradually narrowing down the possible scope of the fault and determining the specific location of the fault.

[0062] The embodiment of the present invention is a method embodiment corresponding to the above-mentioned system embodiment. The specific operation of each step can be understood by referring to the description of the system embodiment, which will not be repeated here.

[0063] Device Example 1

[0064] An embodiment of the present invention provides an electronic device, such as Figure 3 As shown, it includes: a memory 30, a processor 32, and a computer program stored in the memory 30 and executable on the processor 32. When the computer program is executed by the processor 32, the following method steps are implemented:

[0065] S1. The operation data of the distribution network overhead line is collected by the end-side device, and the data collected by the distribution network overhead line is transmitted to the side device, wherein the end-side device includes a plurality of sensors arranged on the distribution network overhead line;

[0066] S2. Perform preliminary analysis and processing on the collected operation data through the side device, and transmit the processed data to the cloud device;

[0067] S3. The received data is stored and analyzed through cloud devices to achieve real-time monitoring of the distribution network topology and current flow, and a fault alarm is issued when abnormal data is detected.

[0068] Device Example 2

[0069] An embodiment of the present invention provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by the processor 32, the following method steps are implemented:

[0070] S1. The operation data of the distribution network overhead line is collected by the end-side device, and the data collected by the distribution network overhead line is transmitted to the side device, wherein the end-side device includes a plurality of sensors arranged on the distribution network overhead line;

[0071] S2. Perform preliminary analysis and processing on the collected operation data through the side device, and transmit the processed data to the cloud device;

[0072] S3. The received data is stored and analyzed through cloud devices to achieve real-time monitoring of the distribution network topology and current flow, and a fault alarm is issued when abnormal data is detected.

[0073] The computer-readable storage medium in this embodiment includes, but is not limited to, ROM, RAM, magnetic disk or optical disk, etc.

[0074] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An overhead line operation status fault monitoring system, characterized in that: It includes distributed overhead online monitoring modules installed on the pole-mounted circuit breakers of the distribution network overhead lines and deployed cloud, edge and end network communication equipment; The monitoring module is used to collect the operation data of the distribution network overhead line through the end-side device, and transmit the collected data of the distribution network overhead line to the edge-side device, wherein the end-side device includes a plurality of sensors arranged on the distribution network overhead line; The edge device is used to perform preliminary processing and analysis on the data and then transmit the processed data to the cloud device; Cloud devices are used to store and deeply analyze data transmitted by edge devices, realize real-time monitoring of distribution network topology and current flow, and intelligently identify and detect faults; The cloud, edge and end network communication devices are used to connect end-side devices, edge-side devices and cloud-side devices, and the network communication devices are wireless communication modules or wired communication modules.

2. The system according to claim 1, characterized in that The sensors include current sensors, voltage sensors and ground current sensors, which are installed at branch nodes and fault-prone points of the distribution network overhead lines; The monitoring module is connected to the current and voltage measurement points of the pole-mounted circuit breaker through signal lines, and is used to collect the current, voltage and ground current data of the line to obtain the operating parameters of the line.

3. The system according to claim 1, characterized in that The monitoring module is connected to an independent power supply module, and the power supply module is connected to a power supply system of a pole-mounted circuit breaker or an external power supply through a power line.

4. The system according to claim 1, characterized in that The edge device performs preliminary processing and analysis on the data transmitted from the end-side device, unpacks and filters the data through a digital signal processing algorithm to extract feature information, determines whether there is a fault, marks the fault data, and analyzes the local topology of the distribution network; the processed data is compressed and re-encapsulated before being transmitted to the cloud device.

5. The system according to claim 1, characterized in that The cloud device is specifically used for: Receive data transmitted from the edge equipment, classify and store the data in the database, analyze it using cloud computing technology and big data analysis algorithms, build an active distribution network topology, conduct a global analysis of the current flow of the distribution network, and accurately identify and classify faults based on fault data.

6. The system according to claim 5, characterized in that The cloud device is further used for: After identifying the fault type, the cloud device gradually narrows down the possible scope of the fault and determines the specific location of the fault through collaborative analysis with edge and end devices based on the distribution network topology and the impact of the fault on different branches and nodes. Specifically: Compare the real-time collected data with the preset normal operation data range and mode, and trigger the fault detection mechanism when the data is abnormal; When abnormal data is detected, the fault type is determined based on the characteristics of the abnormal data and the preset fault identification algorithm; After identifying the fault type, based on the distribution network topology and the impact of the fault on different branches and nodes, collaborative analysis between the cloud, edge, and end is used to narrow the fault scope and determine the specific location of the fault.

7. A method for monitoring faults in the operation status of an overhead line, characterized in that: include: The operation data of the distribution network overhead line is collected by the end-side device, and the collected data of the distribution network overhead line is transmitted to the edge-side device, wherein the end-side device includes a plurality of sensors arranged on the distribution network overhead line; Perform preliminary analysis and processing on the collected operation data through the edge devices, and transmit the processed data to the cloud devices; The received data is stored and analyzed through cloud devices to achieve real-time monitoring of the distribution network topology and current flow, and a fault alarm is issued when abnormal data is detected.

8. The method according to claim 7, characterized in that The method further comprises: Accurately identify and classify faults based on fault data. After identifying the fault type, the cloud device collaborates with edge and end devices to analyze based on the distribution network topology and the impact of the fault on different branches and nodes, gradually narrow down the possible scope of the fault and determine the specific location of the fault.

9. An electronic device, characterized in that: include: processor; as well as, A memory arranged to store computer executable instructions, which, when executed, cause the processor to implement the steps of the overhead line operating status fault monitoring method as claimed in any one of claims 7 to 8.

10. A storage medium, characterized in that: Used to store computer executable instructions, which, when executed, implement the steps of the overhead line operation status fault monitoring method as described in any one of claims 7 to 8.

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