A quick power distribution operation and maintenance analysis method and system for a terminal intelligent low-voltage cabinet

CN120638323BActive Publication Date: 2026-10-30NANJING NANMAN ELECTRIC CO LTD
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Patent Information

Application Number
CN202510887236.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Priority Date
2025-04-17
Filing Date
2025-06-30
Publication Date
2026-10-30
Estimated Expiration
2045-06-30

AI Technical Summary

Technical Problem

[0003]在传统配电运维领域,配电回路的投切行为管理主要依赖于人工巡检与经验判断,存在显著的效率低下与实时性不足问题;配电回路作为低压柜运行的核心单元,其投切行为直接影响电力系统的稳定性与可靠性

Benefits of technology

[0056]与现有技术相比,本发明所达到的有益效果是:本发明提供的一种用于终端智能低压柜的快速配电运维分析方法及系统中,在电路图纸中识别配电节点并生成节点类库,捕捉跨接关系形成配电回路;通过正时化生成运维时间序列,统计回路节点生成回路类型集;基于回路类型集认证节点连通性状态并量化节点连通性状态反馈值;结合反馈值动态评估配电运维异常度,实现快速预警。系统包括数据配置、预处理、状态认证处理及配电快速运维模块。本发明通过自动化节点识别、回路建模和动态异常评估,解决了传统配电运维依赖人工、效率低、实时性差的问题,能够量化配电回路的投切行为,即节点连通性状态反馈值,显著提升了低压柜运维的智能化水平和响应速度。

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Abstract

The application discloses a kind of quick power distribution operation and maintenance analysis method and system for terminal intelligent low-voltage cabinet, belong to power distribution operation and maintenance technical field.The method includes: identifying power distribution node in circuit drawing paper and generating node class library, capturing crosslinking relationship to form power distribution circuit;Through timing generation operation and maintenance time series, circuit node is counted to generate circuit type set;Based on circuit type set authentication node connectivity state and quantize node connectivity state feedback value;Combined with feedback value, dynamically assess power distribution operation and maintenance abnormality, realize fast early warning.System includes data configuration, preprocessing, state authentication processing and power distribution fast operation and maintenance module.The application is through automatic node identification, circuit modeling and dynamic abnormality evaluation, solves the problem that traditional power distribution operation and maintenance relies on manual, low efficiency, poor real-time performance, can quantify the switching behavior of power distribution circuit, i.e.node connectivity state feedback value, significantly improves the intelligent level and response speed of low-voltage cabinet operation and maintenance.
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Description

Technical Field

[0001] This invention relates to the field of power distribution operation and maintenance technology, specifically to a rapid power distribution operation and maintenance analysis method and system for terminal intelligent low-voltage cabinets. Background Technology

[0002] Circuit switching refers to the operation of connecting (connecting to the system) or disconnecting (disconnecting from the system) an electrical circuit by controlling a switch or device. In essence, it achieves stable operation, load balancing, or fault protection of the power system by changing the circuit connection state. In the power system, the switching switch can accurately distribute power to each branch to prevent overload. In the emergency power system, the automatic switching device switches to the backup power when the main power fails to ensure the continuous operation of critical equipment.

[0003] In the traditional field of power distribution operation and maintenance, the management of power distribution circuit switching behavior mainly relies on manual inspection and experience judgment, which has significant problems of low efficiency and insufficient real-time performance. As the core unit of low-voltage switchgear operation, the switching behavior of power distribution circuits directly affects the stability and reliability of the power system.

[0004] In existing technologies, maintenance personnel need to manually analyze circuit diagrams to identify power distribution nodes and circuit connections, which is time-consuming and prone to errors. At the same time, the monitoring of node connectivity status mostly adopts periodic static checks, which makes it difficult to capture dynamic changes (such as partial connection or momentary disconnection) in a timely manner, resulting in delayed anomaly warnings. In addition, traditional methods lack quantitative evaluation of circuit switching behavior and cannot effectively combine historical maintenance data to dynamically adjust thresholds, further restricting the speed of maintenance response and the level of intelligence.

[0005] Therefore, there is an urgent need for an automated, real-time solution to accurately identify the switching behavior of power distribution circuits, achieve rapid anomaly assessment and early warning, thereby improving the reliability and efficiency of low-voltage switchgear operation and maintenance. Summary of the Invention

[0006] The purpose of this invention is to provide a rapid power distribution operation and maintenance analysis method and system for terminal intelligent low-voltage cabinets, so as to solve the problems mentioned in the background art.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0008] A rapid power distribution operation and maintenance analysis system for terminal intelligent low-voltage cabinets, the system includes: a data configuration module, a data preprocessing module, a status authentication processing module, and a rapid power distribution operation and maintenance module;

[0009] The data configuration module is used to identify each power distribution node in the circuit diagram to generate a power distribution node class library; based on the power distribution circuit and node attributes designed in the circuit diagram, it captures the bridging relationship between power distribution nodes to obtain several power distribution circuits containing power distribution nodes.

[0010] The data preprocessing module is used to generate an operation and maintenance time series through time-normalization; to count all power distribution nodes contained in the power distribution circuit and generate a circuit type set;

[0011] The status authentication processing module authenticates the node connectivity status between power distribution nodes based on the circuit type set and quantifies the node connectivity status feedback value.

[0012] The power distribution rapid operation and maintenance module assesses the anomaly degree of power distribution operation and maintenance based on the node connectivity status feedback value, and updates and outputs the anomaly degree of power distribution operation and maintenance periodically to achieve rapid early warning.

[0013] Furthermore, the data configuration module includes a power distribution node library unit, a power distribution circuit library unit, and an attribute setting unit;

[0014] The power distribution node class library unit is used to import the circuit diagram of the low-voltage switchgear and identify each power distribution node in the circuit diagram to generate the power distribution node class library. The types of power distribution nodes include incoming nodes, bus nodes, feedout nodes and grounding nodes.

[0015] The power distribution circuit library unit is used to form a circuit impedance from the power distribution circuit when generating the power distribution circuit library. The power distribution circuit has a combination of resistors, capacitors or inductors built into it.

[0016] The attribute setting unit is used to compile node attributes in the circuit diagram. The node attributes include the power distribution node number and the node connectivity status. The node connectivity status is identified based on the bridging relationship, and the node connectivity status includes a node that is not connected, a node that is fully connected, and a node that is partially connected.

[0017] Furthermore, the data preprocessing module includes a time series generation unit and a loop type coordination unit;

[0018] The time series generation unit adds a unified time node attribute to the switching behavior of the power distribution circuit and generates a switching time series.

[0019] The circuit type coordination unit is used to uniformly encode power distribution circuits, count all power distribution nodes contained in the power distribution circuits, and generate a circuit type set.

[0020] Furthermore, the status authentication processing module includes a status authentication unit and a feedback processing unit;

[0021] The status authentication unit is used to authenticate the node connectivity status between power distribution nodes;

[0022] The feedback processing unit quantifies the node connectivity status feedback value based on the node connectivity status.

[0023] Furthermore, the power distribution rapid operation and maintenance module includes a power distribution operation and maintenance anomaly analysis unit and an early warning processing unit;

[0024] The power distribution operation and maintenance anomaly analysis unit is used to calculate the power distribution operation and maintenance anomaly degree;

[0025] The early warning processing unit is used to update and output the distribution operation and maintenance anomaly degree between different distribution nodes in each operation and maintenance cycle. An anomaly degree threshold is preset. If the distribution operation and maintenance anomaly degree is greater than or equal to the anomaly degree threshold, an early warning prompt is output to the operation and maintenance interface simultaneously.

[0026] A rapid power distribution operation and maintenance analysis method for terminal intelligent low-voltage switchgear, the method includes the following steps:

[0027] Step S1: Identify each power distribution node in the circuit diagram to generate a power distribution node class library; based on the power distribution circuit and node attributes designed in the circuit diagram, capture the bridging relationship between the power distribution nodes to obtain several power distribution circuits containing power distribution nodes.

[0028] Step S2: Generate an operation and maintenance time series through time-normalization; count all distribution nodes in the distribution circuit and generate a circuit type set;

[0029] Step S3: Based on the circuit type set, authenticate the node connectivity status between distribution nodes and quantify the node connectivity status feedback value;

[0030] Step S4: Based on the node connectivity status feedback value, assess the power distribution operation and maintenance anomaly degree, and periodically update and output the power distribution operation and maintenance anomaly degree to achieve rapid early warning.

[0031] Furthermore, the specific implementation process of step S1 includes:

[0032] Import the circuit diagram of the low-voltage switchgear and identify each power distribution node in the circuit diagram to generate a power distribution node class library. The types of power distribution nodes include incoming nodes, bus nodes, feeder nodes and grounding nodes.

[0033] When generating the power distribution circuit class library, the power distribution circuit constitutes the circuit impedance, and the power distribution circuit has a combination of resistors, capacitors or inductors built in it.

[0034] The node attributes in the circuit diagram are compiled. The node attributes include the distribution node number and the node connectivity status. The node connectivity status is identified based on the bridging relationship, and the node connectivity status includes the node non-connected state, the node fully connected state, and the node partially connected state.

[0035] Among the above methods, automated node identification can reduce manual intervention and improve data accuracy and processing efficiency; bridging relationship capture and loop archiving can provide a structured data foundation for subsequent state analysis and support the dynamic management of complex loops; and the fine distinction of node attributes (non-connected, fully connected, partially connected) can lay the foundation for quantifying switching behavior.

[0036] Furthermore, the specific implementation process of step S2 includes:

[0037] The timing method includes synchronizing the phase of the voltage or current at each distribution node to align the switching behavior of the distribution circuit with the natural period of the voltage or current. This attaches a unified time node attribute to the switching behavior of the distribution circuit and generates a switching time sequence, denoted as... ,in, This represents the x-th deployment / switching time node, and T represents the total number of deployment / switching time nodes within the operation and maintenance cycle, where the operation and maintenance cycle is pre-configured;

[0038] The power distribution circuits are uniformly coded, and any e-th power distribution circuit is denoted as... At the time of deployment Statistical analysis of power distribution circuits It includes all distribution nodes and generates a set of circuit types, denoted as . , Let i represent the i-th distribution node, and I represent the total number of distribution nodes.

[0039] In the above methods, time-series normalization ensures the temporal consistency of operation and maintenance data, facilitating dynamic tracking of loop status changes; the loop type set uniformly defines the distribution characteristics of distribution nodes, which can enhance data interpretability and provide standardized input for connectivity certification.

[0040] Furthermore, the specific implementation process of step S3 includes:

[0041] Verify the node connectivity status between power distribution nodes:

[0042] At the time of deployment Below, for the undirected relationships bridging between coordinate nodes. Where i ≠ j, through the circuit type set To perform authentication: if the loop type set Includes point nodes and matching nodes This indicates an undirected relation. In the loop type set The authentication result in the system is that the node is fully connected; if the loop type set It contains only the coordinate nodes. and matching nodes One of them represents an undirected relation. In the loop type set The authentication result in the data is the partial connectivity state of the node; if the loop type set The data does not include coordinate nodes. and matching nodes This indicates an undirected relation. In the loop type set The authentication result indicates that the node is not connected.

[0043] Configure status code y, where y∈[1,2,3]. If y=1, it means the authentication result is that the node is fully connected; if y=2, it means the authentication result is that the node is partially connected; if y=3, it means the authentication result is that the node is not connected.

[0044] The node connectivity state feedback value is quantified through iterative authentication, which includes first-level iteration and second-level iteration.

[0045] In the first iteration, any one of the values ​​in [1, 2, 3] is selected as the value of y;

[0046] Two-level iteration, based on the time node of the deployment. The time-recorded set of each loop type serves as the sample input to identify undirected relationships. In the loop type set The authentication result corresponds to the status code. If the status code equals y, then let the authentication result representation function... Otherwise, let the authentication result representation function be... ,

[0047] Let e ​​= e + 1, for each switching time node The system records all loop type sets and performs status code matching sequentially. Once all loop type sets have been matched, the second-level iteration stops and returns the value of each authentication result representation function to the first-level iteration to calculate the node connectivity state feedback value. In the formula, E represents the total number of power distribution circuits;

[0048] If every value in [1, 2, 3] participates in the first-level iteration quantization, the first-level iteration stops, and the node connectivity state feedback value sequence is output. .

[0049] In the above methods, the authentication method (such as...) and Do they coexist? This enables fast logical judgment of connectivity states, reducing computational complexity; feedback value quantization formula. By statistically analyzing the frequency of states occurring in each loop, discrete states are transformed into continuous indicators, enhancing the sensitivity of anomaly detection; multidimensional feedback values It comprehensively characterizes node connectivity and can provide multi-dimensional data support for dynamic anomaly assessment.

[0050] Furthermore, the specific implementation process of step S4 includes:

[0051] Power distribution operation and maintenance anomaly level:

[0052] ;

[0053] In the formula, This indicates an undirected relationship during the operation and maintenance cycle. Node connectivity state The degree of abnormality in power distribution operation and maintenance, ;

[0054] The distribution operation and maintenance anomaly level between different distribution nodes is updated and output during each operation and maintenance cycle. An anomaly level threshold is preset. If the distribution operation and maintenance anomaly level is greater than or equal to the anomaly level threshold, an early warning prompt is simultaneously output to the operation and maintenance interface.

[0055] In the above method, the anomaly formula An exponential decay function is introduced to emphasize the weight of recent state changes, which can improve the response speed to sudden anomalies.

[0056] Compared with existing technologies, the beneficial effects achieved by this invention are as follows: This invention provides a rapid power distribution operation and maintenance analysis method and system for terminal intelligent low-voltage switchgear. It identifies power distribution nodes in circuit diagrams and generates a node class library, capturing cross-connection relationships to form power distribution loops; it generates operation and maintenance time series through time-based generation, statistically analyzes loop nodes to generate loop type sets; it authenticates node connectivity status based on the loop type sets and quantifies node connectivity status feedback values; and it dynamically evaluates the degree of power distribution operation and maintenance anomalies based on the feedback values, achieving rapid early warning. The system includes data configuration, preprocessing, status authentication processing, and rapid power distribution operation and maintenance modules. This invention solves the problems of traditional power distribution operation and maintenance relying on manual labor, low efficiency, and poor real-time performance through automated node identification, loop modeling, and dynamic anomaly assessment. It can quantify the switching behavior of power distribution loops, i.e., the node connectivity status feedback values, significantly improving the intelligence level and response speed of low-voltage switchgear operation and maintenance. Attached Figure Description

[0057] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0058] Figure 1 This is a schematic diagram illustrating the steps of a rapid power distribution operation and maintenance analysis method for terminal intelligent low-voltage cabinets according to the present invention. Detailed Implementation

[0059] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0060] In this first embodiment: a rapid power distribution operation and maintenance analysis system for terminal intelligent low-voltage cabinets is provided. The system includes: a data configuration module, a data preprocessing module, a status authentication processing module, and a rapid power distribution operation and maintenance module.

[0061] The data configuration module is used to identify each power distribution node in the circuit diagram to generate a power distribution node class library; based on the power distribution circuit and node attributes designed in the circuit diagram, it captures the bridging relationship between power distribution nodes to obtain several power distribution circuits containing power distribution nodes.

[0062] For example, the data configuration module includes a power distribution node class library unit, a power distribution circuit class library unit, and an attribute setting unit;

[0063] The power distribution node class library unit is used to import the circuit diagram of the low-voltage switchgear and identify each power distribution node in the circuit diagram to generate the power distribution node class library. The types of power distribution nodes include incoming nodes, bus nodes, feeder nodes and grounding nodes.

[0064] The power distribution circuit library unit is used to construct the circuit impedance from the power distribution circuit when generating the power distribution circuit library. The power distribution circuit has a combination of resistors, capacitors or inductors built into it.

[0065] The attribute setting unit is used to compile node attributes in the circuit diagram. The node attributes include the power distribution node number and the node connectivity status. The node connectivity status is identified based on the bridging relationship, and the node connectivity status includes the node non-connected state, the node fully connected state, and the node partially connected state.

[0066] The data preprocessing module is used to generate an operation and maintenance time series through time-normalization; and to count all distribution nodes contained in the distribution circuit and generate a circuit type set.

[0067] For example, the data preprocessing module includes a time series generation unit and a loop type coordination unit;

[0068] The time series generation unit adds a unified time node attribute to the switching behavior of the power distribution circuit and generates a switching time series;

[0069] The circuit type coordination unit is used to uniformly encode power distribution circuits, count all power distribution nodes contained in the power distribution circuits, and generate a circuit type set.

[0070] The status authentication processing module authenticates the node connectivity status between power distribution nodes based on the loop type set and quantifies the node connectivity status feedback value.

[0071] For example, the status authentication processing module includes a status authentication unit and a feedback processing unit;

[0072] The status authentication unit is used to authenticate the node connectivity status between power distribution nodes.

[0073] The feedback processing unit quantifies the node connectivity status feedback value based on the node connectivity status.

[0074] The power distribution rapid operation and maintenance module assesses the anomaly level of power distribution operation and maintenance based on the node connectivity status feedback value, and updates and outputs the anomaly level of power distribution operation and maintenance regularly to achieve rapid early warning.

[0075] For example, the power distribution rapid operation and maintenance module includes a power distribution operation and maintenance anomaly analysis unit and an early warning processing unit;

[0076] The power distribution operation and maintenance anomaly analysis unit is used to calculate the anomaly degree of power distribution operation and maintenance;

[0077] The early warning processing unit is used to update and output the distribution operation and maintenance anomaly degree between different distribution nodes in each operation and maintenance cycle. It presets anomaly degree threshold. If the distribution operation and maintenance anomaly degree is greater than or equal to the anomaly degree threshold, it synchronously outputs an early warning prompt to the operation and maintenance interface.

[0078] Please see Figure 1 In this second embodiment: a rapid power distribution operation and maintenance analysis method for terminal intelligent low-voltage cabinets is provided, applicable to the above-described first embodiment. The method includes the following steps:

[0079] Step S1: Identify each power distribution node in the circuit diagram to generate a power distribution node class library; based on the power distribution circuit and node attributes designed in the circuit diagram, capture the bridging relationship between the power distribution nodes to obtain several power distribution circuits containing power distribution nodes.

[0080] For example, import the circuit diagram of the low-voltage switchgear and identify each power distribution node in the circuit diagram to generate a power distribution node class library. The types of power distribution nodes include incoming nodes, bus nodes, feeder nodes and grounding nodes.

[0081] When generating the power distribution circuit class library, the circuit impedance is composed of power distribution circuits, and the power distribution circuits contain combinations of resistors, capacitors or inductors.

[0082] Compile the node attributes in the circuit diagram. The node attributes include the power distribution node number and the node connectivity status. The node connectivity status is identified based on the bridging relationship, and the node connectivity status includes the node not connected, the node fully connected, and the node partially connected.

[0083] Step S2: Generate an operation and maintenance time series through time-normalization; count all distribution nodes in the distribution circuit and generate a circuit type set;

[0084] For example, the timing method includes aligning the switching behavior of the distribution circuit with the natural period of the voltage or current by configuring the phase synchronization of the voltage or current at each distribution node. This achieves the addition of a unified time node attribute to the switching behavior of the distribution circuit and generates a switching time sequence, denoted as... ,in, This represents the x-th deployment / switching time node, and T represents the total number of deployment / switching time nodes within the operation and maintenance cycle, where the operation and maintenance cycle is pre-configured;

[0085] For example, in terms of technical principles, circuit switching behavior depends on the characteristics of electronic devices. When a control signal is received, the electronic components will act quickly to change the circuit connection state. For example, the synchronous switching of frequency converters can ensure that the voltage, frequency, and phase are consistent with the power grid through phase-locked loop (PLL) technology, thus achieving seamless switching. PLL technology dynamically tracks the phase of the input signal, so that the phase of the output signal is strictly synchronized with the input signal. By selecting a suitable PLL chip or module device, phase tracking can be achieved, which enables dynamic adjustment of the action time of the switching equipment, ensuring that the closing or opening operation is performed when the phase is consistent. This achieves precise control of the timing of the switching equipment (such as circuit breakers, contactors, etc.) in the circuit to engage (close) and disengage (open), i.e., the switching time node.

[0086] The power distribution circuits are uniformly coded, and any e-th power distribution circuit is denoted as... At the time of deployment Statistical analysis of power distribution circuits It includes all distribution nodes and generates a set of circuit types, denoted as . , Let i represent the i-th distribution node, and I represent the total number of distribution nodes;

[0087] For example, a low-voltage switchgear in an industrial park is selected as the test object. The power distribution parameters of the low-voltage switchgear are as follows:

[0088] Distribution nodes: Incoming line nodes ( ), merge node ( , ), feedout node ( , ), grounding node ( ), a total of 6 nodes;

[0089] Power distribution circuit: Include , and The impedance type is a combination of resistor and pole; Include , and The impedance type is a combination of resistor and capacitor; Include , and The impedance type is purely resistive; there are a total of 3 distribution circuits (E=3);

[0090] Operation and maintenance cycle: T = 5 deployment and switching time nodes ( to ), and record the loop status at each time point.

[0091] Step S3: Based on the circuit type set, authenticate the node connectivity status between distribution nodes and quantify the node connectivity status feedback value;

[0092] For example, authenticating the node connectivity status between power distribution nodes:

[0093] At the time of deployment Below, for the undirected relationships bridging between coordinate nodes. Where i ≠ j, through the circuit type set To perform authentication: if the loop type set Includes coordinate nodes and matching nodes This indicates an undirected relation. In the loop type set The authentication result in the system is that the node is fully connected; if the loop type set It contains only the coordinate nodes. and matching nodes One of them represents an undirected relation. In the loop type set The authentication result in the data is the partial connectivity state of the node; if the loop type set The data does not include coordinate nodes. and matching nodes This indicates an undirected relation. In the loop type set The authentication result indicates that the node is not connected.

[0094] Configure status code y, where y∈[1,2,3]. If y=1, it means the authentication result is that the node is fully connected; if y=2, it means the authentication result is that the node is partially connected; if y=3, it means the authentication result is that the node is not connected.

[0095] The node connectivity state feedback value is quantified through iterative authentication, which includes first-level iteration and second-level iteration.

[0096] In the first iteration, any one of the values ​​in [1, 2, 3] is selected as the value of y;

[0097] Two-level iteration, based on the time node of the deployment. The time-recorded set of each loop type is used as sample input to identify undirected relationships. In the loop type set The authentication result corresponds to the status code. If the status code is equal to y, then let the authentication result representation function... Otherwise, let the authentication result representation function be... ,

[0098] Let e ​​= e + 1, for each switching time node The system records all loop type sets and performs status code matching sequentially. Once all loop type sets have been matched, the second-level iteration stops and returns the value of each authentication result representation function to the first-level iteration to calculate the node connectivity state feedback value. In the formula, E represents the total number of power distribution circuits;

[0099] If every value in [1, 2, 3] participates in the first-level iteration quantization, the first-level iteration stops, and the node connectivity state feedback value sequence is output. ;

[0100] For example, by the time node of the cut For example, compute nodes and Connectivity state feedback values ​​for (i=2, j=3):

[0101] (1) Authentication connectivity status:

[0102] loop , :Include Not included Then at the time of deployment Below, undirected relation and In the loop type set The authentication result is partially connected (status code y=2); it should be noted that at the switching time node... At that time, the circuit corresponding May contain and This is affected by the distribution node selected when switching the circuit;

[0103] loop , Not included ,Include Then at the time of the switch Below, undirected relation and In the loop type set The authentication result in the system is partially connected (status code y=2).

[0104] loop , :Include and Then at the time of deployment Below, undirected relation and In the loop type set The authentication result is fully connected (status code y=1).

[0105] (2) Iterative calculation of feedback value:

[0106] First iteration: y takes the values ​​1, 2, and 3 respectively;

[0107] Two-level iteration: For each loop e=1, 2, and 3, determine if the status code is equal to y:

[0108] When y=1, only the loop type set satisfy, , , , ;

[0109] When y=2, the set of loop types and satisfy, , , , ;

[0110] When y=3, the acyclic type set satisfies the following condition: , , ;

[0111] Feedback value sequence: ;

[0112] For example, by the time node of the cut For example, the certified connectivity status of each power distribution circuit remains the same as... The situation is the same as before, that is, no change has occurred in the throwing / cutting behavior. ;

[0113] For example, by the time node of the cut For example, compute nodes and Connectivity state feedback values ​​for (i=2, j=3):

[0114] (1) Authentication connectivity status:

[0115] loop , :Include and Then at the time of deployment Below, undirected relation and In the loop type set The authentication result is fully connected (status code y=1);

[0116] loop , Not included ,Include Then at the time of deployment Below, undirected relation and In the loop type set The authentication result in the system is partially connected (status code y=2).

[0117] loop , : None of them include and Then at the time of deployment Below, undirected relation and In the loop type set The authentication result is disconnected (status code y=3).

[0118] (2) Iterative calculation of feedback value:

[0119] First iteration: y takes the values ​​1, 2, and 3 respectively;

[0120] Two-level iteration: For each loop e=1, 2, and 3, determine if the status code is equal to y:

[0121] When y=1, only the loop type set satisfy, , , , ;

[0122] When y=2, only the loop type set satisfy, , , , ;

[0123] When y=3, only the loop type set satisfy, , , It should be noted that, exist The switching behavior of the time loop is in an open state, the loop corresponding None of them include and This is affected by the distribution node selected when switching the circuit;

[0124] Feedback value sequence: ;

[0125] For example, by the time node of the cut For example, compute nodes and Connectivity state feedback values ​​for (i=2, j=3):

[0126] (1) Authentication connectivity status:

[0127] loop , Not included ,Include Then at the time of deployment Below, undirected relation and In the loop type set The authentication result in the system is partially connected (status code y=2).

[0128] loop , Not included ,Include Then at the time of deployment Below, undirected relation and In the loop type set The authentication result in the system is partially connected (status code y=2).

[0129] loop , :Include Not included Then at the time of deployment Below, undirected relation and In the loop type set The authentication result is partially connected (status code y=2).

[0130] (2) Iterative calculation of feedback value:

[0131] First iteration: y takes the values ​​1, 2, and 3 respectively;

[0132] Two-level iteration: For each loop e=1, 2, and 3, determine if the status code is equal to y:

[0133] When y=1, the acyclic type set satisfies the following: , , , ;

[0134] When y=2, the set of loop types satisfy, , , , ;

[0135] When y=3, the acyclic type set satisfies the following condition: , , It should be noted that, exist The switching behavior of the time loop is the access state, but the loop corresponding Include Not included This is influenced by the distribution node selected during circuit switching, i.e., the selection... No selection Access via this method;

[0136] Feedback value sequence: ;

[0137] For example, by the time node of the cut For example, the certified connectivity status of each power distribution circuit remains the same as... The situation is the same as before, that is, no change has occurred in the throwing / cutting behavior. .

[0138] Step S4: Based on the node connectivity status feedback value, assess the anomaly level of power distribution operation and maintenance, and regularly update and output the anomaly level of power distribution operation and maintenance to achieve rapid early warning.

[0139] For example, the abnormality level of power distribution operation and maintenance: ;

[0140] In the formula, This indicates an undirected relationship during the operation and maintenance cycle. Node connectivity state The degree of abnormality in power distribution operation and maintenance, ;

[0141] Update and output the distribution operation and maintenance anomaly degree between different distribution nodes in each operation and maintenance cycle, preset the anomaly degree threshold, and if the distribution operation and maintenance anomaly degree is greater than or equal to the anomaly degree threshold, output the early warning prompt to the operation and maintenance interface simultaneously.

[0142] For example, suppose that during the operation and maintenance cycle, the node → The feedback value sequence is as follows (T=5):

[0143] ;

[0144] ;

[0145] ;

[0146] ;

[0147] ;

[0148] It is the dot product of the vector dimensions of the sequence:

[0149] When x=1, ;

[0150] When x=2, ;

[0151] Similarly, when x=3, When x=4, ;

[0152] (Keep 4 decimal places);

[0153] Taking state code y=g=1 (fully connected) as an example, calculate the anomaly degree:

[0154]

[0155] ;

[0156] Taking state code y=g=2 (partially connected) as an example, calculate the anomaly degree:

[0157]

[0158] ;

[0159] Taking state code y=g=3 (disconnected) as an example, calculate the anomaly degree:

[0160]

[0161] ;

[0162] It should be noted that, exist and While maintaining the original throwing and cutting behavior, exist The switching behavior of the time loop is adjusted to the open state, and the loop... corresponding None of them include and , exist The switching behavior of the loop is adjusted to the access state, but the loop corresponding Include Not included , exist Keep The situation regarding the throwing and cutting behavior;

[0163] If the preset anomaly threshold is The anomaly degree is calculated using the state code y=g=2 (partially connected) as an example. Greater than If the status code y=g=2 (partial connectivity) for each switching time node is sent to the operation and maintenance interface for early warning, and the operation and maintenance personnel are prompted to check the connection status of the loops and nodes; at the same time, through This also reflects that, compared to other status codes, the mean fluctuation of status code y=g=2 (partially connected) is larger.

[0164] 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 process, method, article, or apparatus.

[0165] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A rapid power distribution operation and maintenance analysis method for terminal intelligent low-voltage switchgear, characterized in that, The method includes the following steps: Step S1: Identify each power distribution node in the circuit diagram to generate a power distribution node class library; based on the power distribution circuit and node attributes designed in the circuit diagram, capture the bridging relationship between the power distribution nodes to obtain several power distribution circuits containing power distribution nodes. Step S2: Generate an operation and maintenance time series through time-normalization; count all distribution nodes in the distribution circuit and generate a circuit type set; Step S3: Based on the circuit type set, authenticate the node connectivity status between distribution nodes and quantify the node connectivity status feedback value; Step S4: Based on the node connectivity status feedback value, assess the power distribution operation and maintenance anomaly degree, and periodically update and output the power distribution operation and maintenance anomaly degree to achieve rapid early warning prompts; The specific implementation process of step S2 includes: The timing method includes synchronizing the phase of the voltage or current at each distribution node to align the switching behavior of the distribution circuit with the natural period of the voltage or current. This attaches a unified time node attribute to the switching behavior of the distribution circuit and generates a switching time sequence, denoted as... ,in, This represents the x-th deployment / switching time node, and T represents the total number of deployment / switching time nodes within the operation and maintenance cycle, where the operation and maintenance cycle is pre-configured; The power distribution circuits are uniformly coded, and any e-th power distribution circuit is denoted as... At the time of deployment Statistical analysis of power distribution circuits It includes all distribution nodes and generates a set of circuit types, denoted as . , Let i represent the i-th distribution node, and I represent the total number of distribution nodes; The specific implementation process of step S3 includes: Verify the node connectivity status between power distribution nodes: At the time of deployment Below, for the undirected relationships bridging between coordinate nodes. Where i ≠ j, through the circuit type set To perform authentication: if the loop type set Includes coordinate nodes and matching nodes This indicates an undirected relation. In the loop type set The authentication result in the system is that the node is fully connected; if the loop type set It contains only the coordinate nodes. and matching nodes One of them represents an undirected relation. In the loop type set The authentication result in the data is the partial connectivity state of the node; if the loop type set The data does not include coordinate nodes. and matching nodes This indicates an undirected relation. In the loop type set The authentication result indicates that the node is not connected. Configure status code y, where y∈[1,2,3]. If y=1, it means the authentication result is that the node is fully connected; if y=2, it means the authentication result is that the node is partially connected; if y=3, it means the authentication result is that the node is not connected. The node connectivity state feedback value is quantified through iterative authentication, which includes first-level iteration and second-level iteration. In the first iteration, any one of the values ​​in [1, 2, 3] is selected as the value of y; Two-level iteration, based on the time node of the deployment. The time-recorded set of each loop type is used as sample input to identify undirected relationships. In the loop type set The authentication result corresponds to the status code. If the status code is equal to y, then let the authentication result representation function... Otherwise, let the authentication result representation function be... Let e ​​= e + 1, for each switching time node The system records all loop type sets and performs status code matching sequentially. Once all loop type sets have been matched, the second-level iteration stops and returns the value of each authentication result representation function to the first-level iteration to calculate the node connectivity state feedback value. In the formula, E represents the total number of power distribution circuits; If every value in [1, 2, 3] participates in the first-level iteration quantization, the first-level iteration stops, and the node connectivity state feedback value sequence is output. ; The specific implementation process of step S4 includes: Power distribution operation and maintenance anomaly level: ; In the formula, This indicates an undirected relationship during the operation and maintenance cycle. Node connectivity state The degree of abnormality in power distribution operation and maintenance, ; The distribution operation and maintenance anomaly level between different distribution nodes is updated and output during each operation and maintenance cycle. An anomaly level threshold is preset. If the distribution operation and maintenance anomaly level is greater than or equal to the anomaly level threshold, an early warning prompt is simultaneously output to the operation and maintenance interface.

2. The rapid power distribution operation and maintenance analysis method for terminal intelligent low-voltage cabinets according to claim 1, characterized in that, The specific implementation process of step S1 includes: Import the circuit diagram of the low-voltage switchgear and identify each power distribution node in the circuit diagram to generate a power distribution node class library. The types of power distribution nodes include incoming nodes, bus nodes, feeder nodes and grounding nodes. When generating the power distribution circuit class library, the power distribution circuit constitutes the circuit impedance, and the power distribution circuit has a combination of resistors, capacitors or inductors built in it. The node attributes in the circuit diagram are compiled. The node attributes include the distribution node number and the node connectivity status. The node connectivity status is identified based on the bridging relationship, and the node connectivity status includes the node non-connected state, the node fully connected state, and the node partially connected state.

3. A rapid power distribution operation and maintenance analysis system for terminal intelligent low-voltage switchgear, executing the rapid power distribution operation and maintenance analysis method as described in any one of claims 1-2, characterized in that, The system includes: a data configuration module, a data preprocessing module, a status authentication processing module, and a power distribution rapid operation and maintenance module; The data configuration module is used to identify each power distribution node in the circuit diagram to generate a power distribution node class library; based on the power distribution circuit and node attributes designed in the circuit diagram, it captures the bridging relationship between power distribution nodes to obtain several power distribution circuits containing power distribution nodes. The data preprocessing module is used to generate an operation and maintenance time series through time-normalization; to count all power distribution nodes contained in the power distribution circuit and generate a circuit type set; The status authentication processing module authenticates the node connectivity status between power distribution nodes based on the circuit type set and quantifies the node connectivity status feedback value. The power distribution rapid operation and maintenance module assesses the anomaly degree of power distribution operation and maintenance based on the node connectivity status feedback value, and updates and outputs the anomaly degree of power distribution operation and maintenance periodically to achieve rapid early warning.

4. The rapid power distribution operation and maintenance analysis system for terminal intelligent low-voltage cabinets according to claim 3, characterized in that, The data configuration module includes a power distribution node library unit, a power distribution circuit library unit, and an attribute setting unit; The power distribution node class library unit is used to import the circuit diagram of the low-voltage switchgear and identify each power distribution node in the circuit diagram to generate the power distribution node class library. The types of power distribution nodes include incoming nodes, bus nodes, feedout nodes and grounding nodes. The power distribution circuit library unit is used to form a circuit impedance from the power distribution circuit when generating the power distribution circuit library. The power distribution circuit has a combination of resistors, capacitors or inductors built in it. The attribute setting unit is used to compile node attributes in the circuit diagram. The node attributes include the power distribution node number and the node connectivity status. The node connectivity status is identified based on the bridging relationship, and the node connectivity status includes a node that is not connected, a node that is fully connected, and a node that is partially connected.

5. A rapid power distribution operation and maintenance analysis system for terminal intelligent low-voltage cabinets according to claim 3, characterized in that, The data preprocessing module includes a time series generation unit and a loop type coordination unit; The time series generation unit adds a unified time node attribute to the switching behavior of the power distribution circuit and generates a switching time series. The circuit type coordination unit is used to uniformly encode power distribution circuits, count all power distribution nodes contained in the power distribution circuits, and generate a circuit type set.

6. A rapid power distribution operation and maintenance analysis system for terminal intelligent low-voltage cabinets according to claim 3, characterized in that, The status authentication processing module includes a status authentication unit and a feedback processing unit; The status authentication unit is used to authenticate the node connectivity status between power distribution nodes; The feedback processing unit quantifies the node connectivity status feedback value based on the node connectivity status.

7. A rapid power distribution operation and maintenance analysis system for terminal intelligent low-voltage cabinets according to claim 3, characterized in that, The power distribution rapid operation and maintenance module includes a power distribution operation and maintenance anomaly analysis unit and an early warning processing unit; The power distribution operation and maintenance anomaly analysis unit is used to calculate the power distribution operation and maintenance anomaly degree; The early warning processing unit is used to update and output the distribution operation and maintenance anomaly degree between different distribution nodes in each operation and maintenance cycle. An anomaly degree threshold is preset. If the distribution operation and maintenance anomaly degree is greater than or equal to the anomaly degree threshold, an early warning prompt is output to the operation and maintenance interface simultaneously.

Citation Information

Patent Citations

  • Power distribution system maintenance monitoring method for low-voltage operation

    CN118604525A

  • Intelligent power distribution cabinet operation supervision optimization control method and system, and storage medium

    CN119341189A