A health baseline-based power distribution terminal situation awareness method and system and storage medium

Abstract

The application discloses a kind of based on health baseline's distribution network terminal situation awareness method, system and storage medium, including obtaining distribution network terminal health situation awareness model;Data extraction is carried out from distribution network master station system based on distribution network terminal health situation awareness model;Using distribution network terminal health situation awareness model and historical data, terminal historical health baseline value is calculated;Combining terminal current data and terminal historical health baseline value, completes distribution network terminal health situation awareness evaluation and early warning.The application based on health baseline's distribution network terminal situation awareness, from multiple angles analysis terminal operating state, discovers and identifies terminal health risk, and timely response and issues early warning, provides effective and reliable terminal health state data for distribution network monitoring personnel, guarantees the safe and stable operation of power grid.

Description

Technical Field

[0001] This invention relates to the field of distribution network terminal situation awareness, and in particular to a method, system and storage medium for distribution network terminal situation awareness based on a health baseline. Background Technology

[0002] Distribution network terminals are numerous, exceeding the number of terminals in the main grid by an order of magnitude. There are various types of distribution network terminals, including: Feeder Terminal Units (TTUs), switching stations, Data Transfer Units (DTUs), Transformer Supervisory Terminal Units (TTUs), and Remote Terminal Units (RTUs). Distribution network terminals have a lower technological barrier, resulting in numerous manufacturers and lower technical specifications and quality control compared to main grid terminals. Some distribution network terminals are installed on feeder towers, operating directly in the open environment; others lack external power supplies and rely solely on solar panels and internal batteries, making them prone to power outages and disconnections.

[0003] Distribution network terminals are the foundation for ensuring the safe and stable operation of the distribution network. Good operating conditions can ensure that they can quickly and reliably isolate distribution network faults and provide stable and reliable data to the distribution network automation master station. Summary of the Invention

[0004] The purpose of this invention is to provide a method, system, and storage medium for distribution network terminal situational awareness based on a health baseline, which solves the difficulty of panoramic perception of a large number of terminals in a new distribution network operation monitoring system and realizes the transformation of terminal management from problem-solving to analysis and command.

[0005] To achieve the above-mentioned objectives, the present invention employs the following technical solution:

[0006] This invention provides a method for power distribution network terminal situational awareness based on a health baseline, comprising:

[0007] Obtain the health status perception model of the distribution network terminals;

[0008] Data is extracted from the distribution network master station system based on the distribution network terminal health status perception model;

[0009] Using the distribution network terminal health status perception model and historical data, the historical health baseline value of the terminal is calculated;

[0010] By combining current terminal data with historical health baseline values, the health status perception assessment and early warning of distribution network terminals can be completed.

[0011] Furthermore, the terminal health situation awareness model data extraction supports multiple interface formats, including at least one of the following:

[0012] Text format, message bus format, and database format.

[0013] Furthermore, methods for calculating the historical health baseline value of terminals using the distribution network terminal health status awareness model and historical data include:

[0014] The extracted data is correlated and integrated to form a unified database of the health status of distribution network terminals;

[0015] Based on the historical data of terminals in the distribution network terminal health status database, multiple rounds of health status calculations are performed, and the weighting values ​​of various parameters of the historical terminal data are adaptively modified to calculate the historical health baseline value of the terminal.

[0016] Furthermore, by combining current terminal data and historical health baseline values, methods for assessing and issuing early warnings about the health status of distribution network terminals include:

[0017] The current health value of a terminal is obtained by weighting and scoring the current data of the terminal in the distribution network terminal health status database.

[0018] By combining the terminal's historical health baseline values, the current health status perception result of the terminal is calculated;

[0019] The terminal's health status is monitored by comparing it with the terminal's historical health baseline value, and an alert is issued proactively.

[0020] Furthermore, the formula for calculating the current health status perception result of the terminal is as follows:

[0021]

[0022] In the formula: Ha is the total score; wk is the weight of the terminal; h(i) is the health score; H(i) is the terminal health baseline value; k is the number of terminals.

[0023] This invention provides a distribution network terminal situational awareness system based on a health baseline, comprising:

[0024] The acquisition module is used to acquire the health status perception model of the distribution network terminals;

[0025] The data extraction module is used to extract data from the distribution network master station system based on the distribution network terminal health status perception model;

[0026] The calculation module is used to calculate the historical health baseline value of the terminal using the distribution network terminal health status perception model and historical data;

[0027] The assessment and early warning module is used to combine the current data of the terminal with the historical health baseline value of the terminal to complete the assessment and early warning of the health status of the distribution network terminal.

[0028] The present invention provides a distribution network terminal situational awareness system based on a health baseline, including a processor and a memory, wherein the memory stores a program that can be loaded by the processor to execute the steps of the method described in any of the preceding claims.

[0029] The present invention provides a computer-readable storage medium having a computer program stored thereon, characterized in that the program, when executed by a processor, implements the steps of any of the preceding methods.

[0030] The beneficial effects of this invention are as follows:

[0031] This invention provides distribution network terminal situational awareness based on health baselines, analyzes terminal operating status from multiple perspectives, identifies and detects terminal health risks, and responds and issues early warnings in a timely manner, providing distribution network monitoring personnel with effective and reliable terminal health status data to ensure the safe and stable operation of the power grid. Attached Figure Description

[0032] Figure 1 This is an example diagram of the structure of the distribution network terminal situational awareness model based on a health baseline provided in an embodiment of the present invention;

[0033] Figure 2 This is a radar chart of distribution network terminal situational awareness indicators based on a health baseline provided in an embodiment of the present invention;

[0034] Figure 3 This is a flowchart of the distribution network terminal situational awareness method based on a health baseline provided in an embodiment of the present invention. Detailed Implementation

[0035] To further illustrate the technical means adopted and the effects achieved by the present invention, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and preferred embodiments.

[0036] Distribution network terminal situational awareness based on health baselines is a method that analyzes the terminal's operational status from multiple perspectives based on a large amount of multi-dimensional data, identifies and recognizes terminal health risks, and responds promptly and issues early warnings. Ultimately, it aims to provide distribution network monitoring personnel with effective and reliable terminal health status data, ensuring the safe and stable operation of the power grid.

[0037] This invention provides a method for power distribution network terminal situational awareness based on a health baseline, comprising:

[0038] Obtain the health status perception model of the distribution network terminals;

[0039] Data is extracted from the distribution network master station system based on the distribution network terminal health status perception model;

[0040] Using the distribution network terminal health status perception model and historical data, the historical health baseline value of the terminal is calculated;

[0041] By combining current terminal data with historical health baseline values, the health status perception assessment and early warning of distribution network terminals can be completed.

[0042] Furthermore, the specific implementation process mainly includes the following:

[0043] 1. Create a power distribution network terminal situational awareness model based on terminal health association.

[0044] This model is based on terminals. It includes data such as terminal online rate, bit error rate, remote control success rate, remote signaling accuracy rate, average remote signaling delay time, and average remote control waiting time; periodic and triggered inspection and verification data such as morning exercise results and customized verification results; terminal dynamic operating parameters such as terminal battery activation status, CPU usage, and hard disk usage; active alarm data such as terminal plug-in alarms, time synchronization alarms, and action alarms; and static ledger data such as terminal ID, manufacturer, type, location, feeder, plant, and associated equipment.

[0045] In the terminal model, in addition to static ledger data, indicators, dynamic parameters, alarms and other data are all configured with weight coefficients; terminal parameters support dynamic expansion, and parameter weights support dynamic correction; the number of terminals supports addition and deletion operations.

[0046] 2. Data extraction from the distribution network terminal situational awareness model

[0047] Terminal data is stored in different systems, requiring data extraction to create a unified model library. Data extraction supports multiple interface formats, including text: E-text, XML (Extensible Markup Language) files, JSON (JavaScript Object Notation) files, or other system-defined file formats. Message bus methods: ActiveMQ, Kafka, RabbitMQ, RocketMQ, and other non-open-source system buses. Database extraction methods: including structured data replication and extraction software such as OGG (Oracle Golden Gate) and ETL (Extract Transform Load).

[0048] The system provides a flexible and reliable data interface, supports data extraction and interaction in different ways, and ensures the effective extraction of terminal health model data.

[0049] 3. Scheme based on terminal health baseline calculation and terminal health situation awareness calculation

[0050] The formula for calculating the health value of a single terminal at a certain historical cross-section is as follows, where h is the health value, w is the weight, f is the parameter value, and m is the number of parameters:

[0051]

[0052] The formula for the overall health baseline value of a single terminal is as follows, where H is the health baseline value, w(h) is the weight of a certain historical cross-section, h is the health value of a certain cross-section, and n is the number of cross-sections:

[0053]

[0054] The current health score of a single terminal is as follows, where h(i) is the current health score of the terminal, wc is the weight of the current terminal health value, hc is the current health value, and H is the current terminal health baseline value.

[0055] h(i) = wc × hc / H

[0056] The overall health scores of all terminals in the system are as follows, where Ha is the total score, wk is the terminal weight, h(i) is the health score value, H(i) is the terminal health baseline value, and k is the number of terminals.

[0057]

[0058] The embodiments of the present invention provide a distribution network terminal situational awareness method based on a health baseline. First, it calculates the historical health values ​​of the terminals across different sections; second, it uses the weighted average of all historical sections as the health baseline; then, it calculates the current health value of the terminal and divides it by the baseline value to obtain a single terminal health score; finally, it performs a weighted square on all terminals to obtain the overall system terminal health score.

[0059] By setting limits for multiple levels of health values, and calculating terminal health values ​​in real time and comparing them with the limits, terminal health assessments can be performed, enabling multi-level monitoring and early warning for healthy, abnormal, and faulty conditions. Furthermore, by combining and calculating different parameters, multi-dimensional health evaluations of the terminal can be achieved.

[0060] This invention also provides a distribution network terminal situational awareness system based on a health baseline, comprising:

[0061] The acquisition module is used to acquire the health status perception model of the distribution network terminals;

[0062] The data extraction module is used to extract data from the distribution network master station system based on the distribution network terminal health status perception model;

[0063] The calculation module is used to calculate the historical health baseline value of the terminal using the distribution network terminal health status perception model and historical data;

[0064] The assessment and early warning module is used to combine the current data of the terminal with the historical health baseline value of the terminal to complete the assessment and early warning of the health status of the distribution network terminal.

[0065] This invention also provides a distribution network terminal situational awareness system based on a health baseline, including a processor and a memory. The memory stores a program that can be loaded by the processor to execute the steps of the aforementioned method.

[0066] This invention provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the aforementioned method.

[0067] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0068] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0069] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0070] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0071] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for situational awareness of distribution network terminals based on a health baseline, characterized in that, include: Obtain the health status perception model of the distribution network terminals; Data is extracted from the distribution network master station system based on the distribution network terminal health status perception model; Using the distribution network terminal health status perception model and historical data, the historical health baseline value of the terminal is calculated; By combining current terminal data and historical health baseline values, the health status perception assessment and early warning of distribution network terminals can be completed; The distribution network terminal health status perception model includes indicator data, periodic and trigger-based inspection and verification data, terminal dynamic operating parameters, proactive alarm data, and static ledger data. Among these, indicator data includes terminal online rate, bit error rate, remote control success rate, remote signaling accuracy rate, average remote signaling delay time, and average remote control waiting time; periodic and trigger-based inspection and verification data includes morning exercise results and customized verification results; terminal dynamic operating parameters include terminal battery activation status, CPU utilization, and hard disk utilization; proactive alarm data includes terminal plug-in alarms, time synchronization alarms, and action alarms; and static ledger data includes terminal ID, manufacturer, type, location, feeder, substation, and associated equipment. Methods for calculating the historical health baseline value of distribution network terminals using the distribution network terminal health status perception model and historical data include: The extracted data is correlated and integrated to form a unified database of the health status of distribution network terminals; Based on the historical data of the terminal in the distribution network terminal health status database, multiple rounds of health status calculations are performed, and the weighted values ​​of each parameter of the historical terminal data are adaptively modified to calculate the historical health baseline value of the terminal. The formula for calculating the health value of a single terminal at a specific historical section is as follows: ； Where h is the historical cross-sectional health value, w i It is the weight of the i-th parameter, f i Here, m is the value of the i-th parameter, and m is the number of parameters. The formula for the overall health baseline value of a single terminal is as follows: ； Where H is the baseline health value, w(h) i h is the weight of the i-th historical section. i It is the health value of the i-th historical cross-section, and n is the number of cross-sections.

2. The distribution network terminal situational awareness method based on a health baseline according to claim 1, characterized in that, The terminal health situation awareness model data extraction supports multiple interface formats, including at least one of the following: Text format, message bus format, and database format.

3. The distribution network terminal situational awareness method based on a health baseline according to claim 1, characterized in that, The methods for assessing and issuing early warnings about the health status of distribution network terminals by combining current terminal data and historical health baseline values ​​include: The current health value of a terminal is obtained by weighting and scoring the current data of the terminal in the distribution network terminal health status database. By combining the terminal's historical health baseline values, the current health status perception result of the terminal is calculated; The terminal's health status is monitored by comparing it with the terminal's historical health baseline value, and an alert is issued proactively.

4. The distribution network terminal situational awareness method based on a health baseline according to claim 1, characterized in that, The formula for calculating the current health status perception result of the terminal is as follows: ： In the formula: Ha is the total score; wk is the weight of the terminal; h(i) is the health score; H(i) is the terminal health baseline value; k is the number of terminals.

5. A distribution network terminal situational awareness system based on a health baseline, characterized in that, include: The acquisition module is used to acquire the health status perception model of the distribution network terminals; The data extraction module is used to extract data from the distribution network master station system based on the distribution network terminal health status perception model; The calculation module is used to calculate the historical health baseline value of the terminal using the distribution network terminal health status perception model and historical data; The assessment and early warning module is used to combine the current data of the terminal with the historical health baseline value of the terminal to complete the assessment and early warning of the health status of the distribution network terminal; The distribution network terminal health status perception model includes indicator data, periodic and trigger-based inspection and verification data, terminal dynamic operating parameters, proactive alarm data, and static ledger data. Among these, indicator data includes terminal online rate, bit error rate, remote control success rate, remote signaling accuracy rate, average remote signaling delay time, and average remote control waiting time; periodic and trigger-based inspection and verification data includes morning exercise results and customized verification results; terminal dynamic operating parameters include terminal battery activation status, CPU utilization, and hard disk utilization; proactive alarm data includes terminal plug-in alarms, time synchronization alarms, and action alarms; and static ledger data includes terminal ID, manufacturer, type, location, feeder, substation, and associated equipment. The calculation module is specifically used for: The extracted data is correlated and integrated to form a unified database of the health status of distribution network terminals; Based on the historical data of the terminal in the distribution network terminal health status database, multiple rounds of health status calculations are performed, and the weighted values ​​of each parameter of the historical terminal data are adaptively modified to calculate the historical health baseline value of the terminal. The formula for calculating the health value of a single terminal at a specific historical section is as follows: ； Where h is the historical cross-sectional health value, w i It is the weight of the i-th parameter, f i Here, m is the value of the i-th parameter, and m is the number of parameters. The formula for the overall health baseline value of a single terminal is as follows: ； Where H is the baseline health value, w(h) i h is the weight of the i-th historical section. i It is the health value of the i-th historical cross-section, and n is the number of cross-sections.

6. A distribution network terminal situational awareness system based on a health baseline, characterized in that, It includes a processor and a memory, wherein the memory stores a program that can be loaded by the processor to execute the steps of the method as described in any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the method according to any one of claims 1 to 4.

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