Methods, apparatus, equipment and readable storage media for tracing medium-voltage line breakage faults

Abstract

This application discloses a method, apparatus, device, and readable storage medium for tracing medium-voltage line breakage faults. The method includes: constructing a power grid topology tree model containing multiple heterogeneous data sources based on acquired power grid model data of the medium-voltage distribution network, and determining the location of the power grid topology tree model node corresponding to the distribution transformer operating with a phase loss; analyzing the TTU measurement data of the distribution transformer based on the monitored phase loss alarm information of the distribution transformer and the location of the node in the power grid topology tree model, and establishing a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model; tracing the dynamic leaf nodes representing the actual situation of the distribution transformer according to the power grid topology tree model to determine the source fault point of the distribution transformer causing the medium-voltage line breakage fault. This application can trace the source fault point of the distribution transformer operating with a phase loss, promptly discover and perceive the location of the problem, thereby effectively reducing economic losses caused by the fault and improving the overall operating efficiency of the power grid.

Description

Technical Field

[0001] This application relates to the field of power operation and maintenance, and more specifically, to a method, apparatus, equipment, and readable storage medium for tracing medium-voltage line breakage faults. Background Technology

[0002] Medium-voltage distribution networks experience frequent and diverse faults, with medium-voltage line breaks being a particularly serious type. A medium-voltage line break will directly cause power loss to users, affecting the stable operation of the power system. Furthermore, the negative sequence current generated by prolonged single-phase operation can damage rotating machines and transformers. If the broken line and grounding are not addressed promptly, people touching the line or passing the accident site may suffer electric shock due to step voltage, posing a threat to personal safety.

[0003] Therefore, timely detection of medium-voltage line breakage faults and accurate tracing of the break location are crucial for power maintenance personnel. This not only helps them quickly take effective fault-handling measures to prevent further escalation and deterioration of the incident, but also significantly reduces the impact of the fault on the power system and users' lives.

[0004] Based on this, this application provides a medium-voltage line breakage fault tracing scheme to trace the source of medium-voltage line breakage faults, thereby playing a positive role in ensuring the safe and stable operation of the power system. Summary of the Invention

[0005] In view of this, this application provides a method, device, equipment and readable storage medium for tracing medium-voltage line break faults, which can trace the source fault point of a distribution transformer operating with a phase loss, promptly detect and perceive the location of the problem, thereby effectively reducing economic losses caused by the fault and improving the overall operating efficiency of the power grid.

[0006] A method for tracing medium-voltage line breakage faults includes:

[0007] Based on the obtained power grid model data of the medium-voltage distribution network, a power grid topology tree model containing multiple heterogeneous data sources is constructed, and the node position of the power grid topology tree model corresponding to the distribution transformer operating with a phase loss is determined.

[0008] Based on the monitored phase loss alarm information of the distribution transformer, combined with the node position of the power grid topology tree model, the TTU measurement data of the distribution transformer is analyzed to establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model.

[0009] Based on the power grid topology tree model, the dynamic leaf nodes representing the actual situation of the distribution transformers are traced back to determine the source fault point of the distribution transformer that caused the medium-voltage line breakage.

[0010] Optionally, the step of analyzing the TTU measurement data of the distribution transformer based on the monitored phase loss alarm information of the distribution transformer, combined with the node location of the power grid topology tree model, and establishing a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model includes:

[0011] Based on the monitored phase loss alarm information of the distribution transformer, and combined with the node location of the power grid topology tree model, the TTU measurement data of the distribution transformer is retrieved;

[0012] Based on the test results and the data boundary characteristics of the power grid model topology tree nodes, a mapping relationship is established between the actual situation of the distribution transformer and the power grid topology tree model.

[0013] Optionally, based on the power grid topology tree model, the dynamic leaf nodes representing the actual situation of the distribution transformers are traced to determine the transformer source fault point that caused the medium-voltage line breakage, including:

[0014] In the power grid topology tree model, the dynamic leaf node representing the actual situation of the distribution transformer is used as the starting point for tracing, and the upstream static parent node where the tracing intersects is used as the ending point for tracing, so as to derive and determine the target static parent node.

[0015] Identify all distribution transformer sub-nodes within the influence range of the target static parent node, and determine the source fault point of the distribution transformer that caused the medium-voltage line breakage based on the operation status of the distribution transformers corresponding to all distribution transformer sub-nodes.

[0016] Optionally, the step of constructing a power grid topology tree model containing multiple heterogeneous data sources based on the acquired power grid model data of the medium-voltage distribution network, and determining the location of the power grid topology tree model node corresponding to the distribution transformer operating with a phase loss, includes:

[0017] According to the preset data types, data structures and data characteristics, the acquired power grid model data of medium-voltage distribution network are fused and spliced ​​to construct a power grid topology tree model containing multiple heterogeneous data sources.

[0018] By analyzing the power grid topology tree model, the location of the power grid model node corresponding to the distribution transformer operating with a phase loss can be determined.

[0019] Optionally, the step of fusing and splicing the acquired medium-voltage distribution network model data according to preset data types, data structures, and data characteristics to construct a power grid topology tree model containing multiple heterogeneous data sources includes:

[0020] The acquired medium-voltage distribution network model data is classified and integrated according to the preset data type, and the equipment topology connection relationship and the boundary intersection points between the corresponding data of each data type are identified.

[0021] At the identified boundary junctions, the data corresponding to each of the data types are fused and spliced ​​to generate power grid fusion data;

[0022] Based on the power grid fusion data and the device topology connection relationships, a power grid topology tree model containing multiple heterogeneous data sources is constructed.

[0023] Optional, also includes:

[0024] Generate a power grid maintenance notification that includes information on the source of the fault in the distribution transformer.

[0025] A medium-voltage line breakage fault tracing device, comprising:

[0026] The topology building unit is used to construct a power grid topology tree model containing multiple heterogeneous data sources based on the acquired power grid model data of the medium-voltage distribution network, and to determine the location of the power grid topology tree model node corresponding to the distribution transformer operating with a phase loss.

[0027] The node mapping unit is used to analyze the TTU measurement data of the distribution transformer based on the monitored phase loss alarm information of the distribution transformer and the node position of the power grid topology tree model, and to establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model.

[0028] The source tracing unit is used to trace the dynamic leaf nodes that represent the actual situation of the distribution transformer according to the power grid topology tree model, and to determine the source fault point of the distribution transformer that caused the medium voltage line breakage.

[0029] Optionally, the node mapping unit includes:

[0030] The data recall unit is used to recall the TTU measurement data of the distribution transformer based on the monitored phase loss alarm information of the distribution transformer and the node location of the power grid topology tree model.

[0031] The mapping establishment unit is used to establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model according to the recall verification results and the data boundary characteristics of the power grid model topology tree nodes.

[0032] A medium-voltage wire breakage fault tracing device includes a memory and a processor;

[0033] The memory is used to store programs;

[0034] The processor is used to execute the program to implement the various steps of the medium-voltage line breakage fault tracing method as described in any of the above claims.

[0035] A readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the steps of the medium-voltage line breakage fault tracing method as described in any of the preceding claims.

[0036] As can be seen from the above technical solutions, the medium-voltage line breakage fault tracing method, apparatus, equipment, and readable storage medium provided in this application first construct a power grid topology tree model containing multiple heterogeneous data sources based on the acquired power grid model data of the medium-voltage distribution network, and determine the location of the power grid topology tree model node corresponding to the distribution transformer operating with a phase loss. Then, based on the monitored distribution transformer phase loss alarm information, combined with the location of the node in the power grid topology tree model, the TTU measurement data of the distribution transformer is analyzed to establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model. This mapping relationship makes data analysis more efficient, accurately reflects the actual operating state of the power grid, and provides a reliable data foundation for fault tracing. Finally, the dynamic leaf nodes representing the actual situation of the distribution transformer are traced according to the power grid topology tree model to determine the distribution transformer source fault point that caused the medium-voltage line breakage fault.

[0037] This application constructs a power grid topology tree model containing multiple heterogeneous data sources and combines it with real-time monitoring of distribution transformer phase loss alarm information to achieve precise tracing of the source fault point of distribution transformers operating with phase loss. This precise location capability enables power maintenance personnel to promptly discover and perceive the location of the fault point, thereby effectively reducing economic losses caused by faults and improving the overall operating efficiency of the power grid.

[0038] Meanwhile, by integrating multiple data sources including power grid model data, TTU measurement data, and alarm information, this application achieves comprehensive data fusion and utilization. This multi-source data fusion can improve the accuracy and comprehensiveness of fault tracing and avoid errors and omissions that may be caused by a single data source. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0040] Figure 1 This is a flowchart of a medium-voltage wire breakage fault tracing method disclosed in an embodiment of this application;

[0041] Figure 2 This is a schematic diagram of a medium-voltage wire breakage fault tracing device disclosed in an embodiment of this application;

[0042] Figure 3 This is a hardware structure block diagram of a medium-voltage wire breakage fault tracing device disclosed in an embodiment of this application. Detailed Implementation

[0043] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0044] This application can be used in a wide variety of general-purpose or special-purpose computing device environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor devices, distributed computing environments including any of the above devices, etc.

[0045] This application provides a method for tracing medium-voltage line breakage faults. This method can be applied to various software or systems involving the location or tracing of power grid faults, and can also be applied to various computer terminals or smart terminals. The executing entity can be the processor or server of the computer terminal or smart terminal.

[0046] The following section introduces the solution proposed in this application. The technical solution is as follows, and details are provided below.

[0047] Figure 1 This is a flowchart of a medium-voltage wire breakage fault tracing method disclosed in an embodiment of this application.

[0048] like Figure 1 As shown, the method may include:

[0049] Step S1: Construct a power grid topology tree model containing multiple heterogeneous data sources based on the obtained power grid model data of the medium-voltage distribution network, and determine the location of the power grid topology tree model node corresponding to the distribution transformer operating with a phase loss.

[0050] Specifically, this application first requires the construction of a comprehensive topology tree model that fully reflects the power grid structure and operational status. Main grid models, distribution network models, and low-voltage models are obtained from the main grid EMS, distribution network OCS, and GIS systems. These data are then fused and aggregated according to preset data types, structures, and characteristics to ultimately construct a comprehensive topology tree model containing multiple heterogeneous data sources. Since these systems each carry operational information from different levels of the power grid, by deeply fusing and aggregating their data according to preset data types, structures, and characteristics, comprehensive coverage from the high-voltage main grid to the medium- and low-voltage distribution networks is achieved, constructing a power grid topology tree model that integrates main and distribution network equipment information. This model clearly displays the connection relationships and hierarchical structure between various devices in the power grid in a tree-like structure, providing an intuitive view for subsequent fault analysis and handling.

[0051] After constructing this power grid topology tree model containing multiple heterogeneous data sources, advanced algorithms and analysis tools can be used to locate the specific node position in the topology tree model corresponding to the distribution transformer (transformer) that is in a phase-loss operation state through analysis and derivation of the topology tree.

[0052] Step S2: Based on the monitored phase loss alarm information of the distribution transformer, and combined with the node location of the power grid topology tree model, analyze the TTU measurement data of the distribution transformer, and establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model.

[0053] Specifically, to accurately locate and quickly respond to phase-loss faults in medium-voltage distribution networks, a mapping relationship is established between the actual situation of the distribution transformer and the power grid topology tree model, relying on the monitoring system and the model. Once the location of the power grid model node corresponding to the phase-loss transformer is determined, the TTU (Transformer Terminal Unit) measurement data of the transformer is retrieved based on alarm information provided by the metering automation system and the located power grid node information. This step not only collects the current real-time operating parameters of the transformer but also provides a solid data foundation for subsequent analysis. Furthermore, to further improve the intelligence level of operation and maintenance, artificial intelligence algorithms are introduced to perform in-depth analysis of the retrieved TTU measurement data. Combined with the logical structure and physical characteristics of the power grid model, the algorithm can automatically compare and verify, ultimately establishing a precise mapping relationship between the power grid topology tree model and the actual situation of the distribution transformer. This mapping relationship not only greatly improves the accuracy and efficiency of fault location but also enables the power system operation and maintenance team to more intuitively understand the actual operating status of the power grid, providing strong support for formulating scientific operation and maintenance strategies and optimizing the power grid layout.

[0054] Furthermore, based on the monitored phase loss alarm information of the distribution transformer, and combined with the node location of the power grid topology tree model, the specific process of analyzing the TTU measurement data of the distribution transformer and establishing the mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model includes:

[0055] ①Based on the monitored phase loss alarm information of the distribution transformer, and combined with the node location of the power grid topology tree model, the TTU measurement data of the distribution transformer is retrieved;

[0056] ②Based on the test and verification results and the data boundary characteristics of the power grid model topology tree nodes, establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model.

[0057] Specifically, this application uses real-time monitored phase loss alarm information of distribution transformers, combined with the node positions determined in the pre-constructed power grid topology tree model, to deeply analyze the measurement data of distribution transformer terminals (TTUs) and ultimately establish a precise mapping relationship between the actual situation of distribution transformers and the power grid topology tree model.

[0058] First, when the system detects an alarm indicating a phase loss in a distribution transformer, it immediately triggers a response mechanism. This mechanism uses the transformer identifier or location description included in the alarm message, combined with node location information in the power grid topology model, to accurately pinpoint the location of the transformer experiencing the phase loss fault. Subsequently, the system sends a call command to the transformer's TTU (Transformer Unit) via remote communication to obtain its current real-time measurement data. This data includes, but is not limited to, key operating parameters such as current, voltage, and power factor, which directly reflect the transformer's current operating status and performance.

[0059] After acquiring the TTU measurement data, the system proceeds to the next stage of analysis and verification. During this process, the system comprehensively considers factors such as the quality, completeness, and consistency of the retrieved data, combined with the data boundary characteristics of the power grid model's topology tree nodes (such as voltage level, current limits, and power flow direction), to conduct a comprehensive and multi-faceted evaluation of the actual situation of the distribution transformer. Through complex data processing and algorithm analysis, the system can identify the specific characteristics, impact range, and possible causes of phase loss operation in the distribution transformer, thereby establishing a precise mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model.

[0060] Step S3: Based on the power grid topology tree model, trace the dynamic leaf nodes that represent the actual situation of the distribution transformer to determine the source fault point of the distribution transformer that caused the medium-voltage line breakage.

[0061] Specifically, based on the logical relationship between dynamic leaf nodes and static parent node switches in the power grid topology tree model, the source fault point of the distribution transformer causing the medium-voltage line breakage can be traced efficiently and accurately. Utilizing the hierarchical structure and connection relationships of the power grid topology tree model, the dynamic leaf nodes representing the actual situation of the distribution transformer are traced. This tracing process proceeds upstream along the power grid topology, gradually investigating various aspects that may affect the operation of the distribution transformer. During this process, the static parent node, which serves as the convergence point for multiple distribution transformer tracings, is traced; changes in the state of these nodes directly impact downstream distribution transformers. Through layer-by-layer tracing and investigation, the source fault point of the distribution transformer causing the medium-voltage line breakage can ultimately be determined.

[0062] Furthermore, the process of tracing back the dynamic leaf nodes representing the actual situation of the distribution transformers based on the power grid topology tree model to determine the source fault point of the distribution transformer leading to the medium-voltage line breakage may specifically include:

[0063] ① In the power grid topology tree model, the dynamic leaf node representing the actual situation of the distribution transformer is used as the starting point for tracing, and the upstream static parent node where the tracing intersects is used as the ending point for tracing, so as to derive and determine the target static parent node.

[0064] ② Identify all distribution transformer sub-nodes within the influence range of the target static parent node, and determine the source fault point of the distribution transformer that caused the medium-voltage line breakage based on the operation status of the distribution transformers corresponding to all distribution transformer sub-nodes.

[0065] Specifically, when the system detects a phase loss in a distribution transformer that may trigger a medium-voltage line breakage fault, the focus is first placed on the dynamic leaf nodes in the power grid topology tree model. These dynamic leaf nodes are composite nodes formed by combining the power grid model nodes with actual conditions such as field distribution transformer alarm information and TTU measurement data. They not only contain the location and structural information in the model but also reflect the actual operating status of the distribution transformer in real time. By analyzing the data changes and abnormal characteristics of these dynamic leaf nodes, the area where the fault may occur can be initially identified.

[0066] Next, starting from the locked dynamic leaf node, the process traces upstream step by step to the static parent node switch in the power grid topology tree structure. These parent node switches, as the convergence point of multiple distribution transformer tracings, play a crucial role in the power grid. By examining the status and operation records of the parent node switches, the fault range can be further narrowed down, and it can be determined whether the fault was caused by one or more distribution transformers under the control of that node.

[0067] After identifying the parent node switch affected by the fault, the power grid topology tree model is used again to search for all distribution transformer sub-nodes within its influence range, starting from that node. This step aims to comprehensively investigate all distribution transformer equipment that may be affected by the fault, ensuring that no potential fault source is overlooked. Finally, by comprehensively analyzing the above information, the specific path and source fault point of the medium-voltage line breakage caused by the single-phase operation of the distribution transformer can be deduced.

[0068] Furthermore, after identifying the source of the transformer fault leading to the medium-voltage line breakage, this application can also promptly notify maintenance personnel of the fault situation, specifically including:

[0069] Generate a power grid maintenance notification that includes information on the source of the fault in the distribution transformer.

[0070] Specifically, after troubleshooting the power system faults, timely communication of fault information to maintenance personnel is crucial. This application, after identifying the transformer source fault point causing the medium-voltage line breakage, will generate a power grid maintenance notification containing transformer source fault information to ensure rapid and accurate communication of the fault situation to relevant personnel, thereby accelerating the fault handling and recovery process. This notification can be delivered to relevant personnel promptly via methods including SMS, voice broadcast calls, and system alarm windows.

[0071] As can be seen from the above technical solutions, the medium-voltage line breakage fault tracing method, apparatus, equipment, and readable storage medium provided in this application first construct a power grid topology tree model containing multiple heterogeneous data sources based on the acquired power grid model data of the medium-voltage distribution network, and determine the location of the power grid topology tree model node corresponding to the distribution transformer operating with a phase loss. Then, based on the monitored distribution transformer phase loss alarm information, combined with the location of the node in the power grid topology tree model, the TTU measurement data of the distribution transformer is analyzed to establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model. This mapping relationship makes data analysis more efficient, accurately reflects the actual operating state of the power grid, and provides a reliable data foundation for fault tracing. Finally, the dynamic leaf nodes representing the actual situation of the distribution transformer are traced according to the power grid topology tree model to determine the distribution transformer source fault point that caused the medium-voltage line breakage fault.

[0072] This application constructs a power grid topology tree model containing multiple heterogeneous data sources and combines it with real-time monitoring of distribution transformer phase loss alarm information to achieve precise tracing of the source fault point of distribution transformers operating with phase loss. This precise location capability enables power maintenance personnel to promptly discover and perceive the location of the fault point, thereby effectively reducing economic losses caused by faults and improving the overall operating efficiency of the power grid.

[0073] Meanwhile, by integrating multiple data sources including power grid model data, TTU measurement data, and alarm information, this application achieves comprehensive data fusion and utilization. This multi-source data fusion can improve the accuracy and comprehensiveness of fault tracing and avoid errors and omissions that may be caused by a single data source.

[0074] In some embodiments of this application, the process of step S1, which involves constructing a power grid topology tree model containing multiple heterogeneous data sources based on the acquired power grid model data of the medium-voltage distribution network, and determining the location of the power grid topology tree model node corresponding to the distribution transformer operating with a phase loss, is described. Specifically, it may include:

[0075] Step S11: According to the preset data type, data structure and data characteristics, the obtained power grid model data of medium voltage distribution network is fused and spliced ​​to construct a power grid topology tree model containing multiple heterogeneous data sources.

[0076] Specifically, the data types include basic power grid data from different categories under power dispatch and control, such as main grid data, distribution network data, and low-voltage data. The data structure includes the topological connections of equipment within the linear range of the power grid, forming a mesh topology after various power grid devices are interconnected. Data characteristics include the boundary transitions between main grid, distribution network, and low-voltage data. By leveraging these boundary characteristics, data from different categories can be merged and aggregated to construct a power grid topology tree model covering the entire network.

[0077] Furthermore, the process of fusing and stitching together the acquired medium-voltage distribution network model data according to preset data types, data structures, and data characteristics to construct a power grid topology tree model containing multiple heterogeneous data sources may include:

[0078] ① The acquired medium-voltage distribution network model data is classified and integrated according to the preset data type, and the equipment topology connection relationship and the boundary intersection points between the corresponding data of each data type are identified.

[0079] Specifically, the acquired medium-voltage distribution network model data is classified according to preset data types (such as main grid data, distribution network data, low-voltage data, etc.). Based on this classification, the topological connections between various devices in the power grid are further identified. These relationships constitute the physical and logical structure of the power grid and are the foundation for constructing the power grid topology tree model. By parsing the connection information between devices, the position and role of each device in the power grid can be clarified. Since there may be overlapping or intersecting areas between different data types, it is necessary to identify these boundary junctions. These points are not only bridges connecting different types of data but also key locations for data fusion and splicing. By comparing the descriptive information about the same device or region in different datasets, the specific location and attributes of the boundary junctions can be determined.

[0080] ② At the identified boundary junctions, the corresponding data of each data type are fused and spliced ​​to generate power grid fusion data.

[0081] Specifically, after identifying the boundary junctions, the data corresponding to each data type needs to be merged. This step aims to eliminate redundancy and conflicts between data, ensuring the consistency and accuracy of the merged data. The fusion process may require data cleaning, transformation, and merging techniques to ensure compatibility and matching between data from different data sources. Based on the data fusion, a data splicing operation is performed. This step sequentially splices data of different data types according to the power grid topology to form complete power grid fusion data. During the splicing process, the connection relationships between devices must remain unchanged, and the continuity and integrity of the data must be ensured.

[0082] ③ Construct a power grid topology tree model containing multiple heterogeneous data sources based on the power grid fusion data and the device topology connection relationship.

[0083] Specifically, based on the fused power grid data and equipment topology connections, a power grid topology tree model is constructed, incorporating multiple heterogeneous data sources. This model displays the connections and hierarchical structure between various devices in the power grid in a tree-like structure, facilitating subsequent operations such as fault diagnosis and operational optimization. After construction, the power grid topology tree model needs to be validated. By comparing and analyzing with actual power grid operation, the model's equipment connections and data accuracy are checked for any issues. If problems are found, timely adjustments and corrections are necessary to ensure the model's reliability and usability.

[0084] Step S12: By analyzing the power grid topology tree model, locate the power grid model node corresponding to the distribution transformer operating with a phase loss.

[0085] Specifically, after the power grid topology tree model is constructed, advanced algorithms and analysis tools can be used to locate the specific node position in the topology tree model corresponding to the distribution transformer (transformer) that is in a phase loss operation state through the analysis and derivation of the topology tree.

[0086] The following describes a medium-voltage wire breakage fault tracing device provided in the embodiments of this application. The medium-voltage wire breakage fault tracing device described below and the medium-voltage wire breakage fault tracing method described above can be referred to in correspondence with each other.

[0087] See Figure 2 , Figure 2 This is a schematic diagram of a medium-voltage wire breakage fault tracing device disclosed in an embodiment of this application.

[0088] like Figure 2 As shown, the medium-voltage wire breakage fault tracing device may include:

[0089] The topology building unit 110 is used to build a power grid topology tree model containing multiple heterogeneous data sources based on the obtained power grid model data of the medium-voltage distribution network, and to determine the location of the power grid topology tree model node corresponding to the distribution transformer operating in phase loss mode.

[0090] The node mapping unit 120 is used to analyze the TTU measurement data of the distribution transformer based on the monitored phase loss alarm information of the distribution transformer and the node position of the power grid topology tree model, and to establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model.

[0091] The source tracing unit 130 is used to trace the dynamic leaf nodes that represent the actual situation of the distribution transformer according to the power grid topology tree model, and determine the source fault point of the distribution transformer that caused the medium voltage line breakage.

[0092] As can be seen from the above technical solutions, the medium-voltage line breakage fault tracing method, apparatus, equipment, and readable storage medium provided in this application first construct a power grid topology tree model containing multiple heterogeneous data sources based on the acquired power grid model data of the medium-voltage distribution network, and determine the location of the power grid topology tree model node corresponding to the distribution transformer operating with a phase loss. Then, based on the monitored distribution transformer phase loss alarm information, combined with the location of the node in the power grid topology tree model, the TTU measurement data of the distribution transformer is analyzed to establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model. This mapping relationship makes data analysis more efficient, accurately reflects the actual operating state of the power grid, and provides a reliable data foundation for fault tracing. Finally, the dynamic leaf nodes representing the actual situation of the distribution transformer are traced according to the power grid topology tree model to determine the distribution transformer source fault point that caused the medium-voltage line breakage fault.

[0093] This application constructs a power grid topology tree model containing multiple heterogeneous data sources and combines it with real-time monitoring of distribution transformer phase loss alarm information to achieve precise tracing of the source fault point of distribution transformers operating with phase loss. This precise location capability enables power maintenance personnel to promptly discover and perceive the location of the fault point, thereby effectively reducing economic losses caused by faults and improving the overall operating efficiency of the power grid.

[0094] Meanwhile, by integrating multiple data sources including power grid model data, TTU measurement data, and alarm information, this application achieves comprehensive data fusion and utilization. This multi-source data fusion can improve the accuracy and comprehensiveness of fault tracing and avoid errors and omissions that may be caused by a single data source.

[0095] Optionally, the node mapping unit may include:

[0096] The data recall unit is used to recall the TTU measurement data of the distribution transformer based on the monitored phase loss alarm information of the distribution transformer and the node location of the power grid topology tree model.

[0097] The mapping establishment unit is used to establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model according to the recall verification results and the data boundary characteristics of the power grid model topology tree nodes.

[0098] Optionally, the source tracing unit may include:

[0099] The first tracing unit is used in the power grid topology tree model to derive and determine the target static parent node by taking the dynamic leaf node representing the actual situation of the distribution transformer as the tracing starting point and the upstream static parent node where the tracing intersects as the tracing ending point.

[0100] The second tracing unit is used to determine all distribution transformer sub-nodes within the influence range of the target static parent node, and to determine the distribution transformer source fault point that caused the medium-voltage line breakage fault based on the operation status of the distribution transformers corresponding to all distribution transformer sub-nodes.

[0101] Optionally, the topology building unit may include:

[0102] The model building unit is used to fuse and stitch together the acquired power grid model data of medium-voltage distribution network according to the preset data type, data structure and data characteristics, and to build a power grid topology tree model containing multiple heterogeneous data sources.

[0103] The node location unit is used to locate the grid model node corresponding to the distribution transformer operating with a phase loss by analyzing the grid topology tree model.

[0104] Optionally, the model building unit may include:

[0105] The classification and integration unit is used to classify and integrate the acquired medium-voltage distribution network model data according to the preset data type, and identify the equipment topology connection relationship and the boundary intersection points between the corresponding data of each data type.

[0106] The data fusion unit is used to fuse and splice the corresponding data of each data type at the identified boundary junction points to generate power grid fusion data.

[0107] The topology generation unit is used to construct a power grid topology tree model containing multiple heterogeneous data sources based on the power grid fusion data and the device topology connection relationship.

[0108] Optionally, the medium-voltage line breakage fault tracing device may further include a notification generation unit for generating a power grid maintenance notification containing information on the fault point at the source of the distribution transformer.

[0109] The medium-voltage wire breakage fault tracing device provided in this application embodiment can be applied to medium-voltage wire breakage fault tracing equipment. Figure 3 The hardware structure block diagram of the medium-voltage line breakage fault tracing device is shown. (Refer to...) Figure 3 The hardware structure of the medium-voltage line breakage fault tracing device may include: at least one processor 1, at least one communication interface 2, at least one memory 3, and at least one communication bus 4.

[0110] In this embodiment, the number of processor 1, communication interface 2, memory 3, and communication bus 4 is at least one, and processor 1, communication interface 2, and memory 3 communicate with each other through communication bus 4.

[0111] Processor 1 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention.

[0112] Memory 3 may include high-speed RAM, and may also include non-volatile memory, such as at least one disk storage device;

[0113] The memory stores a program, which the processor can call. The program is used for:

[0114] Based on the obtained power grid model data of the medium-voltage distribution network, a power grid topology tree model containing multiple heterogeneous data sources is constructed, and the node position of the power grid topology tree model corresponding to the distribution transformer operating with a phase loss is determined.

[0115] Based on the monitored phase loss alarm information of the distribution transformer, combined with the node position of the power grid topology tree model, the TTU measurement data of the distribution transformer is analyzed to establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model.

[0116] Based on the power grid topology tree model, the dynamic leaf nodes representing the actual situation of the distribution transformers are traced back to determine the source fault point of the distribution transformer that caused the medium-voltage line breakage.

[0117] Optionally, the refined and extended functions of the program can be referred to the above description.

[0118] This application embodiment also provides a readable storage medium that can store a program suitable for execution by a processor, the program being used for:

[0119] Based on the obtained power grid model data of the medium-voltage distribution network, a power grid topology tree model containing multiple heterogeneous data sources is constructed, and the node position of the power grid topology tree model corresponding to the distribution transformer operating with a phase loss is determined.

[0120] Based on the monitored phase loss alarm information of the distribution transformer, combined with the node position of the power grid topology tree model, the TTU measurement data of the distribution transformer is analyzed to establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model.

[0121] Based on the power grid topology tree model, the dynamic leaf nodes representing the actual situation of the distribution transformers are traced back to determine the source fault point of the distribution transformer that caused the medium-voltage line breakage.

[0122] Optionally, the refined and extended functions of the program can be referred to the above description.

[0123] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0124] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0125] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for analyzing medium-voltage line breakage faults, characterized in that, include: Based on the obtained power grid model data of the medium-voltage distribution network, a power grid topology tree model containing multiple heterogeneous data sources is constructed, and the node position of the power grid topology tree model corresponding to the distribution transformer operating with a phase loss is determined. Based on the monitored phase loss alarm information of the distribution transformer, combined with the node location of the power grid topology tree model, the TTU measurement data of the distribution transformer is analyzed to establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model. Based on the power grid topology tree model, the dynamic leaf nodes representing the actual situation of the distribution transformers are traced back to determine the transformer source fault point that leads to the medium-voltage line breakage, including: In the power grid topology tree model, the dynamic leaf node representing the actual situation of the distribution transformer is used as the starting point for tracing, and the upstream static parent node where the tracing intersects is used as the ending point for tracing, so as to derive and determine the target static parent node. Identify all distribution transformer sub-nodes within the influence range of the target static parent node, and determine the source fault point of the distribution transformer that caused the medium-voltage line breakage based on the operation status of the distribution transformers corresponding to all distribution transformer sub-nodes.

2. The method according to claim 1, characterized in that, Based on the monitored phase loss alarm information of the distribution transformer, and combined with the node location of the power grid topology tree model, the TTU measurement data of the distribution transformer is analyzed to establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model, including: Based on the monitored phase loss alarm information of the distribution transformer, and combined with the node location of the power grid topology tree model, the TTU measurement data of the distribution transformer is retrieved; Based on the test results and the data boundary characteristics of the power grid model topology tree nodes, a mapping relationship is established between the actual situation of the distribution transformer and the power grid topology tree model.

3. The method according to claim 1, characterized in that, The step of constructing a power grid topology tree model containing multiple heterogeneous data sources based on the acquired power grid model data of the medium-voltage distribution network, and determining the location of the power grid topology tree model node corresponding to the distribution transformer operating with a phase loss, includes: According to the preset data types, data structures and data characteristics, the acquired power grid model data of medium-voltage distribution network are fused and spliced ​​to construct a power grid topology tree model containing multiple heterogeneous data sources. By analyzing the power grid topology tree model, the location of the power grid model node corresponding to the distribution transformer operating with a phase loss can be determined.

4. The method according to claim 3, characterized in that, The process involves fusing and stitching together the acquired medium-voltage distribution network model data according to preset data types, data structures, and data characteristics to construct a power grid topology tree model containing multiple heterogeneous data sources, including: The acquired medium-voltage distribution network model data is classified and integrated according to the preset data type, and the equipment topology connection relationship and the boundary intersection points between the corresponding data of each data type are identified. At the identified boundary junctions, the data corresponding to each of the data types are fused and spliced ​​to generate power grid fusion data; Based on the power grid fusion data and the device topology connection relationships, a power grid topology tree model containing multiple heterogeneous data sources is constructed.

5. The method according to claim 1, characterized in that, Also includes: Generate a power grid maintenance notification that includes information on the source of the fault in the distribution transformer.

6. A medium-voltage wire breakage fault tracing device, characterized in that, include: The topology building unit is used to construct a power grid topology tree model containing multiple heterogeneous data sources based on the acquired power grid model data of the medium-voltage distribution network, and to determine the location of the power grid topology tree model node corresponding to the distribution transformer operating with a phase loss. The node mapping unit is used to analyze the TTU measurement data of the distribution transformer based on the monitored phase loss alarm information of the distribution transformer and the node position of the power grid topology tree model, and to establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model. The source tracing unit is used to trace the dynamic leaf nodes representing the actual situation of the distribution transformers according to the power grid topology tree model, and to determine the source fault point of the distribution transformer that caused the medium-voltage line breakage, including: In the power grid topology tree model, the dynamic leaf node representing the actual situation of the distribution transformer is used as the starting point for tracing, and the upstream static parent node where the tracing intersects is used as the ending point for tracing, so as to derive and determine the target static parent node. Identify all distribution transformer sub-nodes within the influence range of the target static parent node, and determine the source fault point of the distribution transformer that caused the medium-voltage line breakage based on the operation status of the distribution transformers corresponding to all distribution transformer sub-nodes.

7. The apparatus according to claim 6, characterized in that, The node mapping unit includes: The data recall unit is used to recall the TTU measurement data of the distribution transformer based on the monitored phase loss alarm information of the distribution transformer and the node location of the power grid topology tree model. The mapping establishment unit is used to establish a mapping relationship between the actual situation of the distribution transformer and the power grid topology tree model according to the recall verification results and the data boundary characteristics of the power grid model topology tree nodes.

8. A medium-voltage wire breakage fault tracing device, characterized in that, Including memory and processor; The memory is used to store programs; The processor is used to execute the program to implement each step of the medium-voltage wire breakage fault tracing method as described in any one of claims 1-5.

9. A readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements each step of the medium-voltage wire breakage fault tracing method as described in any one of claims 1-5.

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