Power grid fault positioning method, device, equipment and medium

Abstract

Embodiments of the present application provide a power grid fault positioning method, device, equipment and medium. The method comprises: determining the collection time corresponding to the traveling wave abnormal signal according to the traveling wave abnormal signal sent by the traveling wave collector, and determining the traveling wave collector as a candidate traveling wave collector; when the number of candidate traveling wave collectors reaches a first set number, determining at least two candidate traveling wave collectors with the earliest collection time as target traveling wave collectors; and finally determining the fault position corresponding to the traveling wave abnormal signal based on the position of the target traveling wave collector corresponding to the power grid topology structure and the collection time of the traveling wave abnormal signal corresponding to the target traveling wave collector. The method is used to solve the problem that the power grid fault positioning precision and efficiency cannot meet the demand in the related art.

Description

Technical Field

[0001] This application relates to the field of power grid equipment technology, and in particular to a power grid fault location method, device, equipment and medium. Background Technology

[0002] With the continuous development of power systems, the scale and complexity of distribution networks are increasing day by day. Distribution networks are usually complex mesh structures, which makes the requirements for timely detection and fault location in the power grid system increasingly higher.

[0003] In related technologies, traditional power grid fault location methods are usually based on the principle of double-end location on the same transmission line. However, when faced with the complex multi-branch control network structure in actual distribution networks, the location accuracy and reliability are seriously insufficient, and the fault location efficiency cannot meet the requirements. Summary of the Invention

[0004] This application provides a power grid fault location method, apparatus, equipment, and medium to address the problem that the accuracy and efficiency of power grid fault location cannot meet the requirements in related technologies.

[0005] In a first aspect, embodiments of this application provide a power grid fault location method, including:

[0006] In response to receiving a traveling wave abnormal signal sent by the traveling wave collector, the acquisition time corresponding to the traveling wave abnormal signal is determined, and the traveling wave collector is identified as a candidate traveling wave collector. The traveling wave collector is used to acquire traveling waves generated in the power grid.

[0007] If the number of candidate traveling wave collectors reaches the first set number, at least two candidate traveling wave collectors with the earliest acquisition time will be determined as the target traveling wave collectors.

[0008] Based on the location of the power grid topology corresponding to the target traveling wave collector and the acquisition time of the traveling wave abnormal signal corresponding to the target traveling wave collector, the fault location corresponding to the traveling wave abnormal signal is determined.

[0009] In one possible implementation, the traveling wave acquisition device is used to acquire a traveling wave signal based on a first sampling frequency. In response to receiving a traveling wave abnormal signal sent by the traveling wave acquisition device, the acquisition time corresponding to the traveling wave abnormal signal is determined, and the traveling wave acquisition device is identified as a candidate traveling wave acquisition device. This includes: in response to receiving the traveling wave abnormal signal sent by the traveling wave acquisition device, determining the time when the traveling wave acquisition device acquires the traveling wave abnormal signal as a first time; sending first indication information to the traveling wave acquisition device, the first indication information being used to instruct the traveling wave acquisition device to perform secondary sampling of the traveling wave signal based on a second sampling frequency, and returning the corresponding secondary sampling result, wherein the second sampling frequency is higher than the first sampling frequency; if the traveling wave signal obtained by the secondary sampling result belongs to a traveling wave abnormal signal, the first time is determined as the acquisition time, and the traveling wave acquisition device is identified as a candidate traveling wave acquisition device.

[0010] In one possible implementation, after sending the first indication information to the traveling wave collector, the method further includes: if the traveling wave signal obtained from the secondary sampling result does not belong to the traveling wave abnormal signal, sending the second indication information to the traveling wave collector, the second indication information being used to instruct the traveling wave collector to switch the sampling frequency to the first sampling frequency.

[0011] In one possible implementation, if the traveling wave signal obtained from the secondary sampling result belongs to the traveling wave abnormal signal, after determining the first moment as the acquisition moment and determining the traveling wave acquisition device as the candidate traveling wave acquisition device, the method further includes: extracting the frequency distribution characteristics of the secondary sampling result; and determining the fault type corresponding to the secondary sampling result based on the pre-stored correspondence between the frequency distribution characteristics and the fault type and the frequency distribution characteristics of the secondary sampling result.

[0012] In one possible implementation, in response to receiving a traveling wave abnormal signal sent by the traveling wave collector, determining the acquisition time corresponding to the traveling wave abnormal signal, and determining the traveling wave collector as a candidate traveling wave collector, the method further includes: if the number of candidate traveling wave collectors is less than a first set number, determining all candidate traveling wave collectors as the target traveling wave collector.

[0013] In one possible implementation, the traveling wave collector is located at the location of the low-voltage metering device in the power grid.

[0014] In one possible implementation, after determining the fault location corresponding to the abnormal traveling wave signal based on the location of the power grid topology corresponding to the target traveling wave collector and the acquisition time of the abnormal traveling wave signal corresponding to the target traveling wave collector, the method further includes: generating and sending alarm information based on the fault location and acquisition time of the abnormal traveling wave signal.

[0015] Secondly, embodiments of this application provide a power grid fault location device, comprising:

[0016] The acquisition module is used to respond to the received traveling wave abnormal signal sent by the traveling wave collector, determine the acquisition time corresponding to the traveling wave abnormal signal, and identify the traveling wave collector as a candidate traveling wave collector. The traveling wave collector is used to collect traveling waves generated in the power grid.

[0017] The extraction module is used to determine the two candidate traveling wave collectors with the earliest acquisition time as the target traveling wave collector if the number of candidate traveling wave collectors reaches a first set number.

[0018] The determination module is used to determine the fault location corresponding to the traveling wave abnormal signal based on the location of the power grid topology corresponding to the target traveling wave collector and the acquisition time of the traveling wave abnormal signal corresponding to the target traveling wave collector.

[0019] In one possible implementation, the acquisition module is specifically configured to: if the traveling wave collector is used to collect the traveling wave signal based on a first sampling frequency, in response to the received traveling wave abnormal signal sent by the traveling wave collector, determine the time when the traveling wave collector collects the traveling wave abnormal signal as a first moment; send first indication information to the traveling wave collector, the first indication information being used to instruct the traveling wave collector to perform secondary sampling of the traveling wave signal based on a second sampling frequency, and return the corresponding secondary sampling result, wherein the second sampling frequency is higher than the first sampling frequency; if the traveling wave signal obtained by the secondary sampling result belongs to the traveling wave abnormal signal, determine the first moment as the acquisition moment, and determine the traveling wave collector as a candidate traveling wave collector.

[0020] In one possible implementation, the acquisition module is further configured to, after sending the first indication information to the traveling wave collector, if the traveling wave signal obtained by the second sampling result does not belong to the traveling wave abnormal signal, send the second indication information to the traveling wave collector, the second indication information being used to instruct the traveling wave collector to switch the sampling frequency to the first sampling frequency.

[0021] In one possible implementation, the acquisition module is further configured to: if the traveling wave signal obtained from the secondary sampling result belongs to the traveling wave abnormal signal, determine the first moment as the acquisition moment and determine the traveling wave acquisition device as the candidate traveling wave acquisition device, then extract the frequency distribution characteristics of the secondary sampling result; and determine the fault type corresponding to the secondary sampling result based on the pre-stored correspondence between the frequency distribution characteristics and the fault type and the frequency distribution characteristics of the secondary sampling result.

[0022] In one possible implementation, the acquisition module is further configured to, in response to receiving a traveling wave abnormal signal sent by the traveling wave collector, determine the acquisition time corresponding to the traveling wave abnormal signal, and after determining the traveling wave collector as a candidate traveling wave collector, if the number of candidate traveling wave collectors is less than a first set number, determine all candidate traveling wave collectors as the target traveling wave collector.

[0023] In one possible implementation, the acquisition module specifically includes a traveling wave collector located at the location of the low-voltage metering device in the power grid.

[0024] In one possible implementation, the determining module is further configured to, based on the location of the power grid topology corresponding to the target traveling wave collector and the acquisition time of the traveling wave abnormal signal corresponding to the target traveling wave collector, determine the fault location corresponding to the traveling wave abnormal signal, and then generate and send alarm information based on the fault location and acquisition time of the traveling wave abnormal signal.

[0025] Thirdly, embodiments of this application provide an electronic device, including: a memory and a processor;

[0026] The memory stores computer-executed instructions;

[0027] The processor executes computer execution instructions stored in the memory, causing the processor to perform the first aspect and / or various possible implementations of the first aspect as described above.

[0028] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the first aspect and / or various possible implementations of the first aspect.

[0029] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the first aspect and / or various possible implementations of the first aspect.

[0030] The power grid fault location method, apparatus, equipment, and medium provided in this application determine the acquisition time corresponding to the traveling wave abnormal signal based on the received traveling wave abnormal signal sent by the traveling wave collector, and identify the traveling wave collector as a candidate traveling wave collector. When the number of candidate traveling wave collectors reaches a first set number, at least two candidate traveling wave collectors with the earliest acquisition time are identified as target traveling wave collectors. Finally, based on the location of the power grid topology corresponding to the target traveling wave collector and the acquisition time of the traveling wave abnormal signal corresponding to the target traveling wave collector, the fault location corresponding to the traveling wave abnormal signal is determined. Thus, by using the traveling wave abnormal signals and their acquisition times collected by each traveling wave collector, the fault location of the power grid can be quickly located. Compared with the existing fault location based on the dual-end positioning principle, it is not necessary to calculate the signal acquisition times of the two pairs of sensors to determine the possible location of the power grid fault. In a multi-distribution network structure, it can significantly reduce the amount of calculation, improve the fault location efficiency, meet the needs of modern distribution networks for fast and reliable fault detection, and enhance the stability and operating efficiency of the power grid system. Attached Figure Description

[0031] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0032] Figure 1 This is an application scenario diagram of the power grid fault location method provided in the embodiments of this disclosure;

[0033] Figure 2 A flowchart of a power grid fault location method provided in one embodiment of this disclosure;

[0034] Figure 3 A flowchart of a power grid fault location method provided in yet another embodiment of this disclosure;

[0035] Figure 4 A schematic diagram of the structure of a power grid fault location device provided in yet another embodiment of this disclosure;

[0036] Figure 5 This is a schematic diagram of the structure of an electronic device provided in one embodiment of the present disclosure.

[0037] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0038] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0039] With the continuous development of power systems, the scale and complexity of distribution networks are increasing, posing a severe challenge to traditional power grid fault location methods. Distribution networks typically exhibit complex mesh structures, which places increasingly higher demands on timely detection and fault location within the power grid system. However, the fault location methods based on the dual-end location principle, which are commonly used in existing technologies, usually rely on the acquisition and analysis of signals from both ends of the same transmission line. This method suffers from insufficient location accuracy and reliability when dealing with the complex multi-branch structures of actual distribution networks, making it difficult to meet the demands of modern power grids for rapid and accurate fault detection.

[0040] Traditional methods for fault location require calculating the acquisition times of paired sensor signals to determine the possible location of a fault in the power grid. This method is not only computationally intensive but also susceptible to topological complexity in multi-distribution network structures, leading to low fault location efficiency. Furthermore, as the scale and complexity of distribution networks increase, the limitations of traditional methods become increasingly apparent, failing to meet the requirements of modern power grids for efficient fault detection.

[0041] The challenge in solving this technical problem lies in achieving efficient and accurate fault location within complex multi-distribution network structures. Traditional methods suffer from dependence on two-terminal signals and massive computational demands, which increase rapidly with the complexity of the distribution network structure. Simply improving the algorithm during the fault location process offers limited improvement and cannot achieve faster fault detection.

[0042] The power grid fault location method provided in this application introduces a traveling wave data acquisition device to collect abnormal traveling wave signals generated in the power grid and their acquisition times. Instead of relying on calculating the acquisition times of sensor signals pair by pair, it quickly locates the fault location by selecting the target traveling wave data acquisition device with the earliest acquisition time and combining this with the power grid topology. This method significantly reduces computational load and improves fault location efficiency.

[0043] Figure 1 This is a schematic diagram illustrating the application scenario of the power grid fault location method provided in this application, such as... Figure 1 As shown, the specific application scenario of this application is as follows: In power grid fault location, the traveling wave collector 110 at the low-voltage metering device 100 will collect the abnormal traveling wave signal in the power grid and send it to the server 120. The server 120 will determine the location 130 of the fault based on the abnormal traveling wave signal, thereby realizing fault location.

[0044] It should be noted that, Figure 1 The scenario shown includes a low-voltage metering device, a traveling wave collector, a server, and the location of the fault, which are only illustrated by one or a specific number of examples. However, this disclosure is not limited to this. That is to say, the number of low-voltage metering devices, traveling wave collectors, servers, and the location of the fault can be arbitrary.

[0045] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0046] Figure 2 Flowchart of the power grid fault location method provided in this application Figure 1,like Figure 2 As shown, the method includes:

[0047] S201. In response to receiving a traveling wave abnormal signal sent by the traveling wave collector, determine the acquisition time corresponding to the traveling wave abnormal signal, and identify the traveling wave collector as a candidate traveling wave collector.

[0048] Among them, the traveling wave collector is used to collect traveling waves generated in the power grid.

[0049] Specifically, this embodiment provides a general description of the main steps in power grid fault location.

[0050] In this embodiment of the disclosure, the execution entity is a computer system used to receive and analyze the abnormal traveling wave signal sent by the traveling wave collector, or it can be a server specifically used for signal analysis and processing. For convenience, it will be referred to as a server from now on.

[0051] A traveling wave (TW) data logger is a device used to monitor the propagation of electromagnetic waves in a power grid, capturing rapid electrical changes occurring within the grid. Related technologies using TW data loggers based on the dual-end positioning principle typically configure them in a paired, mutually recognized mode. This means that only data collected by paired TW data loggers can be compared; data from unpaired TW data loggers cannot be directly compared (e.g., due to different encodings, identifiers, or encryption methods). Typically, one TW data logger obtains data from its paired counterpart, parses it, and then sends it to the server, or the server performs specific parsing and processing after the data is sent. In this solution, however, all data collected by the TW data loggers are directly sent to the server, and the configurations of different TW data loggers are mutually compatible.

[0052] In some embodiments, to accurately capture traveling wave signals generated by different fault types, the traveling wave acquisition unit in this embodiment integrates a sensor with wideband response characteristics.

[0053] Specifically, the sensor employs a non-invasive Rogowski coil principle, with a frequency response range designed from several kilohertz (kHz) to several megahertz (MHz), capable of fully covering everything from the low-frequency weak traveling wave generated by a high-impedance ground fault to the high-frequency steep traveling wavefront generated by a metallic short-circuit fault.

[0054] To effectively capture small traveling wave signals, a low-noise preamplifier is designed at the front end of the sensor. The gain of this amplifier can be adaptively adjusted according to the line voltage level and background noise level, with an adjustment step of 10dB and a maximum gain of 60dB.

[0055] Meanwhile, to avoid the interference from the power frequency and its harmonics present in the power distribution network, a bandpass filter with adjustable passband is integrated into the signal preprocessing circuit. Under the default setting, the filter can effectively suppress the 50Hz power frequency and its odd harmonics, while allowing the high-frequency traveling wave component to pass through without attenuation, thereby ensuring the integrity and purity of the signal acquisition and providing high-quality waveform data for subsequent high-precision time calibration.

[0056] In some embodiments, in order to achieve mutual recognition of traveling wave collectors in this scheme, during the device deployment phase, the server uniformly assigns a globally unique identity to all traveling wave collectors within its jurisdiction and issues the same communication protocol stack and data encryption method.

[0057] In this way, each traveling wave data acquisition unit no longer needs to identify the specific peer device it is paired with. When a fault traveling wave signal is generated, any traveling wave data acquisition unit that captures the signal independently encapsulates a data packet containing its own identifier, absolute acquisition time, and original waveform segment, and uploads it directly to the server via the communication network.

[0058] Unlike traditional dual-end positioning, which requires protocol parsing and pairing of data from paired devices, the server directly decodes and timestamps all reported data packets, laying the foundation for subsequent global time filtering. This depairing mechanism fundamentally solves the computational combinatorial explosion problem caused by locators in mesh topologies only being able to recognize each other in pairs.

[0059] Furthermore, a traveling wave anomaly signal refers to an abnormal electromagnetic wave signal detected by a traveling wave data acquisition device, which is usually related to power grid faults. The acquisition time refers to the specific point in time when the traveling wave anomaly signal is recorded by the traveling wave data acquisition device.

[0060] The system first monitors and responds to abnormal traveling wave signals sent by the traveling wave data acquisition unit. Whenever the traveling wave data acquisition unit detects an abnormal signal, it sends the signal along with its acquisition time to the server. Specifically, the traveling wave data acquisition unit can be configured to periodically sample the traveling wave signal at a set frequency and send it to the server, which then determines whether it is an abnormal signal. Alternatively, the traveling wave data acquisition unit can be configured to analyze the traveling wave signal and, if an abnormal signal is detected, send it to the server.

[0061] After receiving a signal, the server records the acquisition time and marks the corresponding traveling wave data collector as a candidate. This process ensures that the server can track potential fault events in the power grid in real time and provides basic data for subsequent fault location.

[0062] S202. If the number of candidate traveling wave collectors reaches the first set number, at least two candidate traveling wave collectors with the earliest acquisition time will be determined as the target traveling wave collectors.

[0063] Specifically, after identifying a candidate traveling wave collector, the server begins counting the number of candidate traveling wave collectors identified within a set time period (e.g., one minute). The threshold for judging this number, known as the first set number, is a pre-set threshold within the server used to determine when to proceed with further analysis. The target traveling wave collector refers to the collector selected from the candidate traveling wave collectors for final fault location.

[0064] The server continuously monitors the number of potential traveling wave (TW) data acquisition devices. When the number of potential TW data acquisition devices reaches a pre-set first threshold, the server selects at least two TW data acquisition devices with the earliest acquisition times as target TW data acquisition devices. This selection process is based on the assumption that the earliest acquired signal is closer to the fault source and therefore more accurately reflects the fault location. In this way, the server can effectively narrow down the fault location area and improve the accuracy of the location.

[0065] In different distribution network environments, the initial set number can be adjusted according to specific needs. For example, in a complex urban distribution network, more backup traveling wave acquisition devices may be needed to ensure positioning accuracy, in which case the initial set number can be larger (e.g., 8 to 10). In contrast, in rural environments with simpler distribution network topologies, the initial set number can be reduced (e.g., 3 to 5).

[0066] Furthermore, the server can dynamically adjust the initial set quantity based on the real-time power grid topology status. For example, under normal distribution network operation, the server periodically imports the latest switch status and tie-line switching information from the distribution automation system to dynamically update the topology connection diagram.

[0067] Before a fault occurs, if the server detects that some lines are out of service for maintenance or in open-loop operation, resulting in a reduction in the reachable paths of traveling wave collectors in a certain area, it will automatically lower the first set threshold for that area to avoid the failure to trigger fault location due to a decrease in the total number of available collectors.

[0068] Conversely, when severe weather such as thunderstorms and strong winds arrive, considering the increased probability of multiple simultaneous failures, the server can proactively increase the first set number to ensure that the selected target traveling wave collectors have sufficient redundancy, preventing a single line failure from being confused by interference signals from neighboring lines.

[0069] In some embodiments, the server can also combine data from other sensors, such as current and voltage sensors, to assist in determining the selection of the target traveling wave data acquisition device. Furthermore, the server can employ distributed computing technology to enhance its ability to process large amounts of traveling wave data and accelerate fault response.

[0070] S203. Based on the location of the power grid topology corresponding to the target traveling wave collector and the acquisition time of the traveling wave abnormal signal corresponding to the target traveling wave collector, determine the fault location corresponding to the traveling wave abnormal signal.

[0071] Specifically, the power grid topology refers to the connection relationships between various nodes and lines in the power grid. Fault location refers to the specific location where a fault occurs in the power grid. The acquisition time of the traveling wave anomaly signal refers to the point in time when the target traveling wave acquisition device records the traveling wave anomaly signal.

[0072] The server can determine the fault location by utilizing the location information of the target traveling wave data acquisition device and the acquisition time of the corresponding traveling wave anomaly signal, combined with the power grid topology. Specifically, the server analyzes the power grid node and line where the target traveling wave data acquisition device is located, and calculates the area where the fault may occur by combining the signal propagation speed and acquisition time. In this way, the server can quickly and accurately locate the fault location, reducing the power grid outage time and its impact range.

[0073] In practical applications, servers can utilize Geographic Information Server (GIS) technology to visually display fault locations and power grid topology, helping maintenance personnel respond quickly.

[0074] In some embodiments, the server can also combine historical fault data and environmental factors, such as weather and load changes, to optimize the fault location algorithm and improve the accuracy and reliability of the location.

[0075] In some embodiments, the server can also be integrated with an automated control system to enable automatic fault isolation and recovery, further improving the stability and operational efficiency of the power grid.

[0076] The power grid fault location method provided in this application determines the acquisition time corresponding to the traveling wave abnormal signal based on the received traveling wave acquisition signal sent by the traveling wave acquisition device, and identifies the traveling wave acquisition device as a candidate traveling wave acquisition device. When the number of candidate traveling wave acquisition devices reaches a first set number, at least two candidate traveling wave acquisition devices with the earliest acquisition time are identified as target traveling wave acquisition devices. Finally, based on the location of the power grid topology corresponding to the target traveling wave acquisition device and the acquisition time of the traveling wave abnormal signal corresponding to the target traveling wave acquisition device, the fault location corresponding to the traveling wave abnormal signal is determined. Thus, by using the traveling wave abnormal signals and their acquisition times collected by each traveling wave acquisition device, the fault location of the power grid can be quickly located. Compared with the existing fault location based on the dual-end positioning principle, it does not require calculating the signal acquisition times of the two pairs of sensors to determine the possible location of the power grid fault. In a multi-distribution network structure, it can significantly reduce the amount of calculation, improve the fault location efficiency, meet the needs of modern distribution networks for fast and reliable fault detection, and enhance the stability and operating efficiency of the power grid system.

[0077] Figure 3 A flowchart illustrating the power grid fault location provided in this application. Figure 2 ,like Figure 3 As shown, in this embodiment... Figure 2 Based on the examples, the specific implementation process of the power grid fault location method is described in detail. The method includes:

[0078] S301. In response to the received traveling wave abnormal signal sent by the traveling wave collector, the moment when the traveling wave collector acquires the traveling wave abnormal signal is determined as the first moment.

[0079] Specifically, this disclosure provides further explanation of the specific implementation steps and principles in the power grid fault location process, based on the foregoing embodiments.

[0080] When a traveling wave acquisition device acquires a traveling wave signal, it records the acquisition time accordingly. When an abnormal traveling wave signal is acquired, the corresponding acquisition time is the first moment.

[0081] The purpose of this process is to provide a time reference for subsequent analysis and fault location. Upon detecting an abnormal traveling wave signal, the traveling wave data acquisition unit immediately sends the signal and its acquisition time to the server. Upon receiving the signal, the server records the acquisition time and uses it as the basis for subsequent analysis.

[0082] In some embodiments, the traveling wave collector is located at the location of the low-voltage metering device in the power grid.

[0083] Low-voltage metering devices are key equipment in distribution networks used to measure and record the power consumption of low-voltage power grids (usually referring to power grids with voltage levels below 1 kV). By installing traveling wave collectors in low-voltage metering devices that are widely installed in distribution networks, more comprehensive coverage of different areas of the power grid can be achieved.

[0084] In some embodiments, traveling wave collectors can be installed at each low-voltage metering device in the distribution network to ensure that the electrical connection between the traveling wave collector and the low-voltage metering device is firm and reliable, and that the connection between the signal preprocessing circuit and the data transmission network is normal and error-free.

[0085] Before practical application, it is necessary to conduct network debugging of the PLC communication network within the monitoring area, and check whether the communication between each node (low-voltage metering device and traveling wave acquisition device) is normal and whether the signal transmission is stable. At the same time, connectivity tests and performance optimizations should be performed on the fiber optic communication or 5G wireless communication links between each device in the monitoring area and the control center (server) to ensure that data can be transmitted quickly and accurately throughout the entire data transmission network.

[0086] In some embodiments, the traveling wave data acquisition unit can be deeply integrated with the low-voltage metering device, sharing some hardware resources (such as power modules and data acquisition interfaces) and software functions (such as data processing algorithms and communication protocol stacks) to achieve integrated operation. This enhances fault monitoring and location capabilities and reduces overall cost and equipment complexity without affecting the metering function of the low-voltage metering device.

[0087] In terms of specific implementation, at the hardware level, a compact composite hardware architecture can be adopted to embed the traveling wave acquisition, processing and transmission function modules into the DTU hardware system corresponding to the low-voltage metering device (DTU stands for Distribution Terminal Unit). The processor, storage device and communication module are shared, optimizing the hardware layout and resource utilization, and reducing the size and power consumption of the device.

[0088] Meanwhile, at the software level, a unified software platform can be developed, integrating traveling wave localization algorithms, DTU data acquisition and control functions, and power grid status monitoring and analysis functions. This enables data sharing and collaborative processing, allowing DTUs to perform routine distribution network automation tasks while also possessing fault traveling wave monitoring and localization capabilities, thereby improving the intelligence level of the distribution network.

[0089] In some embodiments, based on the above integrated design, the sensor part of the traveling wave acquisition module preferably adopts a non-invasive Rogowski coil, which can be directly snapped onto the copper busbar or cable at the inlet of the low-voltage metering device without power-off installation and without affecting the safety of the primary equipment.

[0090] The signal preprocessing circuit shares a DC power supply with the metering unit and is designed with an electromagnetic compatibility protection circuit to suppress conducted interference generated by the metering circuit.

[0091] Structurally, the traveling wave acquisition board is connected to the metering main control board through standard connectors to form an integrated plug-in module, which is convenient for on-site maintenance personnel to quickly replace.

[0092] During device debugging, a simulated traveling wave pulse signal is injected into the traveling wave acquisition unit through a portable debugging terminal. Its response amplitude and delay in low-gain and high-gain modes are tested to ensure that the bandwidth and time base accuracy of the entire acquisition link meet the design requirements.

[0093] The integrated procurement device ultimately functions as a logical node, connecting to the distribution area communication network via a PLC or RS485 interface with a unified device identity.

[0094] After completing the hardware installation and software deployment, a multi-terminal positioning computing center and intelligent human-machine interaction platform can be deployed on one end of the server to conduct system joint debugging and check whether the interfaces between the devices are compatible, whether the data transmission and interaction are normal, and ensure that the devices corresponding to the entire power grid fault location method can operate normally.

[0095] S302, Send the first instruction information to the traveling wave collector.

[0096] The traveling wave acquisition device is used to acquire the traveling wave signal based on the first sampling frequency; the first indication information is used to instruct the traveling wave acquisition device to perform secondary sampling on the traveling wave signal based on the second sampling frequency and return the corresponding secondary sampling result, wherein the second sampling frequency is higher than the first sampling frequency.

[0097] Specifically, in one implementation, when the server receives an abnormal traveling wave signal from the traveling wave collector, since the low-frequency results collected by the traveling wave collector may be inaccurate, in order to ensure the accuracy of the identification of the abnormal traveling wave signal, the server will send a first instruction message to the corresponding traveling wave collector, requesting it to perform secondary sampling based on the second sampling frequency to obtain more detailed signal characteristics, so as to more accurately analyze and judge the nature of the signal.

[0098] After receiving the first indication information, the traveling wave data acquisition unit will adjust its sampling settings, start acquiring signals at a higher frequency, and return the secondary sampling results to the server.

[0099] In this process, the amount of detailed data from the secondary sampling is much larger than that from the initial inspection, which places higher demands on the bandwidth and latency of the communication link.

[0100] Therefore, the data transmission network in this solution adopts a hybrid communication architecture to ensure high-speed and reliable data transmission.

[0101] Within the transformer area, the power line carrier communication (PLC) backbone network is used to transmit data using existing power lines, eliminating the need for additional wiring.

[0102] However, when the server detects that the error rate of the PLC channel increases due to momentary interference on the line, or that the secondary sampling data packets to be transmitted are too large, it will automatically trigger intelligent switching of the communication mode and dynamically switch the data transmission channel to the backup low-power wireless network pre-deployed in the distribution area to ensure that critical fault data is not lost.

[0103] At the wide-area communication level between the distribution area and the superior control center, the system defaults to using fiber optic Ethernet as the main channel, with a transmission latency that is consistently below 1 millisecond.

[0104] Once the fiber optic link is interrupted, the system will automatically switch the communication mode to 5G / 4G wireless public network within 10 milliseconds to continue data transmission by taking advantage of its wide coverage.

[0105] The entire communication switching process is transparent to the upper-layer positioning calculation engine, ensuring that the real-time performance and integrity of the traveling wave data are not affected by a single communication network failure.

[0106] In another implementation, the traveling wave acquisition module is in a low-power monitoring state (i.e., the first sampling frequency) during normal operation. It periodically inspects the traveling wave signal of the line where the low-voltage metering device is located and sends the acquired traveling wave data to the server through the data transmission network. The server performs preliminary analysis and processing on the received data to determine whether the distribution network is in normal operation.

[0107] When the server confirms that the traveling wave signal has abnormal characteristics (i.e., an abnormal traveling wave signal), it sends the first indication information to the traveling wave collector, causing the traveling wave collector to immediately increase the acquisition frequency and quickly transmit the detailed traveling wave data obtained from the second sampling to the server.

[0108] S303. If the traveling wave signal obtained from the second sampling result is an abnormal traveling wave signal, the first moment is determined as the acquisition moment, and the traveling wave acquisition device is determined as the alternative traveling wave acquisition device.

[0109] Specifically, after receiving the secondary sampling results, the server will analyze the results to determine whether they belong to the traveling wave abnormal signal and to determine whether there is a fault in the area monitored by the traveling wave collector.

[0110] If the secondary sampling confirms that the signal is abnormal, the server can determine that a fault exists in the corresponding area. At this point, the server will designate the first sampling moment as the sampling moment and mark the corresponding traveling wave collector as a candidate traveling wave collector. This process ensures that only signals truly related to the fault are used for subsequent fault location analysis, thereby improving the accuracy of the location.

[0111] Furthermore, after confirming that multiple traveling wave data collectors have detected a faulty traveling wave, the server first initiates a hardware-based time-scale alignment algorithm. All traveling wave data collectors undergo high-precision clock synchronization via BeiDou / GPS satellite common-view or IEEE 1588 network time synchronization protocol at the factory and during network operation, ensuring that the time scale error between nodes is less than 1 microsecond. Upon receiving the secondary sampling data packets with absolute time scales, the server converts them to Coordinated Universal Time (UTC).

[0112] Subsequently, the server aggregates signals belonging to the same fault event using a sliding time window.

[0113] Specifically, if more than a first set number of abnormal signals are received within a preset time window related to the maximum transmission delay of the distribution network, these signals are classified as the same fault event.

[0114] The server then creates a list of acquisition times [t1, t2, ..., t] corresponding to these signals. n Sort them in ascending order and automatically select the two times t with the smallest values. m and t n The corresponding traveling wave collector is then selected as the target.

[0115] This method of global sorting and filtering in the time domain directly simplifies fault location from a problem of finding the optimal combination of N points to a problem of sorting and finding the extreme value, reducing the computational complexity from O(n^2) to O(n^2). 2 The order of magnitude is reduced to O(nlogn).

[0116] In practical applications, servers can combine the characteristics of signals such as frequency, amplitude, and phase, and employ advanced signal processing algorithms, such as Fourier transform or wavelet transform, to improve the accuracy of abnormal signal identification.

[0117] S304. If the traveling wave signal obtained from the second sampling result does not belong to the traveling wave abnormal signal, send a second indication message to the traveling wave collector.

[0118] The second indication information is used to instruct the traveling wave collector to switch the sampling frequency to the first sampling frequency.

[0119] Specifically, corresponding to step S304, during the process of analyzing the secondary sampling results to determine whether the signal belongs to the traveling wave abnormal signal, if the server determines that the secondary sampling results show that the signal does not belong to the abnormal signal, it will send a second indication message to the traveling wave collector, instructing it to reduce the sampling frequency (that is, switch the sampling frequency back to the initial first sampling frequency). This process ensures that the traveling wave collector operates at a lower frequency under normal circumstances, thereby saving resources and improving the overall efficiency of the server.

[0120] In some embodiments, the server can dynamically adjust the sampling frequency switching strategy according to the specific needs of the power grid and environmental conditions. For example, under high load or severe weather conditions, the server can choose to maintain a higher sampling frequency to improve monitoring sensitivity.

[0121] This step is an optional step parallel to step S304. Those skilled in the art can select the corresponding step to perform according to the actual situation.

[0122] S305. Extract the frequency distribution characteristics of the secondary sampling results.

[0123] Specifically, frequency distribution characteristics, or the representation of a signal in the frequency domain, are usually obtained through spectral analysis and are used to describe the frequency components and energy distribution of a signal.

[0124] After confirming that the secondary sampling result is a traveling wave abnormal signal, the server can perform spectral analysis on the secondary sampling result to extract the frequency distribution characteristics of the signal, providing a basis for subsequent fault type identification. Spectral analysis can employ mathematical tools such as Fourier transform, or a combination of multiple spectral analysis techniques, to adapt to the analysis needs of different types of signals, converting time-domain signals into frequency-domain signals to reveal the frequency components of the signal. Furthermore, multi-dimensional feature fusion methods can be used to further improve the accuracy of fault identification.

[0125] In some embodiments, the server can also utilize machine learning algorithms to automatically learn and identify the complex relationship between frequency distribution features and fault types, thereby improving the intelligence level of fault detection.

[0126] S306. Based on the pre-stored correspondence between frequency distribution characteristics and fault types, and the frequency distribution characteristics of the secondary sampling results, determine the fault type corresponding to the secondary sampling results.

[0127] Specifically, the server can use big data technology to collect and analyze a large amount of historical fault data, establish a database of the correspondence between frequency distribution characteristics and fault types, and quickly determine the specific type of fault when new frequency distribution characteristics are obtained based on the pre-established correspondence between frequency distribution characteristics and fault types.

[0128] Therefore, by matching the actual collected frequency characteristics with the characteristics in the database, the server can quickly identify the nature of the fault, thereby providing guidance for subsequent fault handling or automated fault handling.

[0129] In some embodiments, in addition to frequency distribution characteristics, the server can also combine other signal characteristics, such as time characteristics and amplitude characteristics, and use a multi-feature fusion method to improve the accuracy of fault identification.

[0130] In some embodiments, in certain specific scenarios, accurate identification of the fault type can correct the final location result.

[0131] For example, when the server identifies a high-impedance grounding fault based on frequency distribution characteristics, considering that the initial wavefront amplitude and steepness of the traveling wave of this type of fault are low, the data acquisition unit may have a slight lag in identifying the arrival time of the wavefront.

[0132] The positioning calculation engine will automatically compensate the acquisition time reported by the target traveling wave collector based on the time offset correction coefficient corresponding to the fault type in the database, and then substitute the corrected time into the formula [x]=v[T] for dual-end ranging.

[0133] Conversely, if a metallic short-circuit fault is identified, its wavefront is steep and its energy is concentrated, so no correction is needed. This closed-loop mechanism of "fault type identification guiding location parameter correction" can further improve the location accuracy under complex fault conditions.

[0134] When maintenance personnel receive alarm information, they can not only directly see the recommended fault point coordinates, but also simultaneously learn about the fault type and the correction model used, thus having a more intuitive judgment on the confidence level of the location results.

[0135] S307. If the number of alternative traveling wave collectors reaches the first set number, at least two alternative traveling wave collectors with the earliest acquisition time will be determined as the target traveling wave collectors.

[0136] Specifically, this step is related to Figure 2 The corresponding steps in the illustrated embodiments are the same and will not be repeated here.

[0137] S308. If the number of candidate traveling wave collectors is less than the first set number, all candidate traveling wave collectors shall be determined as the target traveling wave collector.

[0138] Specifically, in contrast to step S307, if the location of the fault is relatively remote, only a few traveling wave collectors may be able to receive the corresponding traveling wave abnormal signal. In this case, the number of alternative traveling wave collectors may always be less than the first set number within the set time (e.g., within 2 minutes, there may be at most 3 alternative traveling wave collectors, while the first set number is 5). In this case, the server will identify all alternative traveling wave collectors as the target traveling wave collector.

[0139] Therefore, it can be ensured that even when the number of alternative traveling wave data collectors is insufficient, the server can still use all available data for fault location, avoiding location failure or inaccuracy due to insufficient data, thereby meeting the needs of different scenarios and ensuring the reliability of fault location.

[0140] This step is an optional step parallel to step S307. Those skilled in the art can select the corresponding step to perform according to the actual situation.

[0141] S309. Based on the location of the power grid topology corresponding to the target traveling wave collector and the acquisition time of the traveling wave abnormal signal corresponding to the target traveling wave collector, determine the fault location corresponding to the traveling wave abnormal signal.

[0142] Specifically, the following example illustrates the process of determining the fault location.

[0143] Assuming a 10kV distribution network with multiple branches, after a fault occurs, the server selects the two target traveling wave data collectors A and B with the earliest acquisition times, whose absolute acquisition times are T and T, respectively.A and T B And T A < T B .

[0144] First, using the formula The distance difference between the fault point and the two data acquisition devices A and B was calculated, where v is the propagation speed of the traveling wave in the line (approximately 0.98 times the speed of light, about 2.94 × 10⁻⁶). 8 m / s).

[0145] Subsequently, the server retrieves the latest topology diagram of the power distribution network, using A and B as two reference nodes, and searches along all possible power supply paths.

[0146] During the search process, the algorithm continuously calculates the distance difference from each possible point on the path to A and B based on the route parameters, and compares it with the distance difference calculated from the measured time difference.

[0147] When a point is found on a certain branch of the topology whose distance difference to A and B matches the measured value, the point is recorded as a possible fault point.

[0148] If multiple branches meet the condition, the system will automatically introduce the data from the third earliest traveling wave data collector C for auxiliary verification, eliminate false fault points, and finally uniquely determine the precise geographical location of the fault.

[0149] The entire calculation process is completed in the server's memory, and the time from receiving data to outputting the location result is extremely short (for example, it can be controlled within 50 milliseconds).

[0150] S310: Based on the fault location and acquisition time corresponding to the traveling wave abnormal signal, generate and send alarm information.

[0151] Specifically, after determining the location of the fault, the server will generate alarm information based on the fault location and its corresponding collection time (the earliest collection time among the target alternative servers can be directly selected) to send a fault alarm signal to the operation and maintenance personnel, reminding them to pay attention to the operation status of the distribution network.

[0152] In some implementations, maintenance personnel can obtain fault location information from the server through alarm information, and further understand relevant fault information, such as characteristic parameters of the fault traveling wave and historical records of similar faults, by using the data query and analysis tools provided by the server, so as to more accurately assess the scope of the fault's impact and formulate emergency repair plans.

[0153] Therefore, according to the emergency repair plan, maintenance personnel can remotely operate the relevant equipment in the fault area through the remote control and command module, such as isolating the faulty line and adjusting the parameters of the protection device, thereby improving the efficiency and safety of emergency repairs and minimizing the power outage time and impact on users.

[0154] In some embodiments, in order to minimize the power outage time, the alarm information generated by the system can be directly connected to the power grid dispatch automation system to trigger preset emergency control strategies.

[0155] For example, in a city's core power distribution network, when the system locates a permanent fault on a 10kV feeder and determines that the fault point is located between two sectionalizing switches, the server can automatically generate a logical decision: disconnect the load switches on both sides of the fault point and close the tie switch to transfer the load in the power-loss area to a nearby healthy line for power supply.

[0156] The entire process of fault location, analysis, solution generation, and command issuance can be completed in seconds. Afterward, the visualization platform automatically generates a fault handling report, fully recording the entire process from traveling wave waveform capture, data acquisition device screening, dual-end location calculation to automatic isolation and power transfer, providing data support for subsequent analysis and transformation of weak links in the power grid.

[0157] This closed-loop application of fault detection, detection location, and location handling represents a significant improvement over traditional methods that only provide location results.

[0158] The power grid fault location method provided in this application captures more detailed signal features by responding to traveling wave anomaly signals and performing high-frequency secondary sampling, thereby improving the accuracy of fault identification. Through the extraction and analysis of frequency distribution features, it effectively identifies fault types, providing precise guidance for subsequent processing. By dynamically adjusting the sampling frequency and intelligently selecting the target traveling wave collector, the computational load is significantly reduced, improving fault location efficiency. After fault location, timely generation and transmission of alarm information shortens the fault response time, enhancing the stability and operational efficiency of the power grid. The overall solution not only overcomes the shortcomings of traditional methods in complex multi-distribution network structures but also provides technical support for intelligent power grid management.

[0159] Figure 4 A schematic diagram of the power grid fault location device provided in this application is shown below. Figure 4 As shown, the power grid fault location device 400 provided in this embodiment includes:

[0160] The acquisition module 410 is used to respond to the received traveling wave abnormal signal sent by the traveling wave collector, determine the acquisition time corresponding to the traveling wave abnormal signal, and identify the traveling wave collector as a candidate traveling wave collector. The traveling wave collector is used to collect the traveling waves generated in the power grid.

[0161] The extraction module 420 is used to determine the two candidate traveling wave collectors with the earliest acquisition time as the target traveling wave collector if the number of candidate traveling wave collectors reaches a first set number.

[0162] The determination module 430 is used to determine the fault location corresponding to the traveling wave abnormal signal based on the location of the power grid topology corresponding to the target traveling wave collector and the acquisition time of the traveling wave abnormal signal corresponding to the target traveling wave collector.

[0163] In one possible implementation, the acquisition module 410 is specifically configured to: if the traveling wave collector is used to collect the traveling wave signal based on a first sampling frequency, in response to the received traveling wave abnormal signal sent by the traveling wave collector, determine the time when the traveling wave collector collects the traveling wave abnormal signal as a first moment; send a first indication information to the traveling wave collector, the first indication information being used to instruct the traveling wave collector to perform secondary sampling on the traveling wave signal based on a second sampling frequency, and return the corresponding secondary sampling result, wherein the second sampling frequency is higher than the first sampling frequency; if the traveling wave signal obtained by the secondary sampling result belongs to the traveling wave abnormal signal, determine the first moment as the acquisition moment, and determine the traveling wave collector as a candidate traveling wave collector.

[0164] In one possible implementation, the acquisition module 410 is further configured to, after sending the first indication information to the traveling wave collector, if the traveling wave signal obtained by the second sampling result does not belong to the traveling wave abnormal signal, send the second indication information to the traveling wave collector, the second indication information being used to instruct the traveling wave collector to switch the sampling frequency to the first sampling frequency.

[0165] In one possible implementation, the acquisition module 410 is further configured to: if the traveling wave signal obtained by the secondary sampling result belongs to the traveling wave abnormal signal, determine the first moment as the acquisition moment and determine the traveling wave acquisition device as the candidate traveling wave acquisition device, then extract the frequency distribution characteristics of the secondary sampling result; and determine the fault type corresponding to the secondary sampling result based on the pre-stored correspondence between the frequency distribution characteristics and the fault type and the frequency distribution characteristics of the secondary sampling result.

[0166] In one possible implementation, the acquisition module 410 is further configured to, in response to receiving a traveling wave abnormal signal sent by the traveling wave collector, determine the acquisition time corresponding to the traveling wave abnormal signal, and after determining the traveling wave collector as a candidate traveling wave collector, if the number of candidate traveling wave collectors is less than a first set number, determine all candidate traveling wave collectors as the target traveling wave collector.

[0167] In one possible implementation, the acquisition module 410 specifically includes a traveling wave collector located at the location of the low-voltage metering device in the power grid.

[0168] In one possible implementation, the determining module 430 is further configured to, after determining the fault location corresponding to the abnormal traveling wave signal based on the location of the power grid topology corresponding to the target traveling wave collector and the acquisition time of the abnormal traveling wave signal corresponding to the target traveling wave collector, generate and send alarm information based on the fault location and acquisition time of the abnormal traveling wave signal.

[0169] The power grid fault location device provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0170] Figure 5 A schematic diagram of the structure of the electronic device provided in this application. Figure 5 As shown, the electronic device 50 provided in this embodiment includes at least one processor 501 and a memory 502. Optionally, the device 50 further includes a communication component 503. The processor 501, memory 502, and communication component 503 are connected via a bus 504.

[0171] In a specific implementation, at least one processor 501 executes computer execution instructions stored in memory 502, causing at least one processor 501 to perform the above-described method.

[0172] The specific implementation process of processor 501 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0173] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0174] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0175] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0176] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0177] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0178] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0179] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0180] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0181] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0182] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0183] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0184] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0185] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for locating power grid faults, characterized in that, include: In response to receiving a traveling wave abnormality signal sent by a traveling wave collector, the acquisition time corresponding to the traveling wave abnormality signal is determined, and the traveling wave collector is identified as a candidate traveling wave collector, which is used to acquire traveling waves generated in the power grid; If the number of candidate traveling wave collectors reaches the first set number, at least two candidate traveling wave collectors with the earliest acquisition time will be determined as the target traveling wave collectors. Based on the location of the power grid topology corresponding to the target traveling wave collector and the acquisition time of the traveling wave abnormal signal corresponding to the target traveling wave collector, the fault location corresponding to the traveling wave abnormal signal is determined.

2. The method according to claim 1, characterized in that, The traveling wave acquisition device is used to acquire traveling wave signals based on a first sampling frequency. The step of responding to receiving a traveling wave anomaly signal sent by the traveling wave collector, determining the acquisition time corresponding to the traveling wave anomaly signal, and identifying the traveling wave collector as a candidate traveling wave collector includes: In response to the received traveling wave abnormal signal sent by the traveling wave collector, the moment when the traveling wave collector acquires the traveling wave abnormal signal is determined as the first moment; Send a first indication message to the traveling wave collector, the first indication message being used to instruct the traveling wave collector to perform secondary sampling of the traveling wave signal based on a second sampling frequency, and return the corresponding secondary sampling result, wherein the second sampling frequency is higher than the first sampling frequency; If the traveling wave signal obtained from the secondary sampling result is a traveling wave abnormal signal, the first moment is determined as the acquisition moment, and the traveling wave acquisition device is determined as a candidate traveling wave acquisition device.

3. The method according to claim 2, characterized in that, After sending the first indication information to the traveling wave collector, the method further includes: If the traveling wave signal obtained from the secondary sampling result does not belong to the traveling wave abnormal signal, a second indication information is sent to the traveling wave collector. The second indication information is used to instruct the traveling wave collector to switch the sampling frequency to the first sampling frequency.

4. The method according to claim 2, characterized in that, If the traveling wave signal obtained from the secondary sampling result belongs to the traveling wave abnormal signal, after determining the first time as the acquisition time and determining the traveling wave acquisition device as a candidate traveling wave acquisition device, the method further includes: Extract the frequency distribution characteristics of the secondary sampling results; Based on the pre-stored correspondence between frequency distribution features and fault types, and the frequency distribution features of the secondary sampling results, the fault type corresponding to the secondary sampling results is determined.

5. The method according to any one of claims 1 to 4, characterized in that, After responding to receiving a traveling wave anomaly signal sent by the traveling wave collector, determining the acquisition time corresponding to the traveling wave anomaly signal, and identifying the traveling wave collector as a candidate traveling wave collector, the method further includes: If the number of candidate traveling wave collectors is less than the first set number, all candidate traveling wave collectors will be selected as the target traveling wave collector.

6. The method according to any one of claims 1 to 4, characterized in that, The traveling wave data acquisition device is located at the location of the low-voltage metering device in the power grid.

7. The method according to any one of claims 1 to 4, characterized in that, After determining the fault location corresponding to the traveling wave anomaly signal based on the location of the power grid topology corresponding to the target traveling wave collector and the acquisition time of the traveling wave anomaly signal corresponding to the target traveling wave collector, the method further includes: Based on the fault location corresponding to the traveling wave abnormal signal and the acquisition time, alarm information is generated and sent.

8. A power grid fault location device, characterized in that, include: The acquisition module is used to respond to receiving a traveling wave abnormal signal sent by the traveling wave collector, determine the acquisition time corresponding to the traveling wave abnormal signal, and identify the traveling wave collector as a candidate traveling wave collector. The traveling wave collector is used to acquire traveling waves generated in the power grid. The extraction module is used to determine the two candidate traveling wave collectors with the earliest acquisition time as the target traveling wave collector if the number of candidate traveling wave collectors reaches a first set number. The determination module is used to determine the fault location corresponding to the traveling wave abnormal signal based on the location of the power grid topology corresponding to the target traveling wave collector and the acquisition time of the traveling wave abnormal signal corresponding to the target traveling wave collector.

9. An electronic device, characterized in that, include: Memory, processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1 to 8.

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