Remote simulation linkage test system and method for self-healing system of power distribution network

Abstract

The invention relates to the technical field of power distribution automation systems, in particular to a remote simulation linkage test system and method for a self-healing system of a power distribution network. A power distribution network simulation model is constructed through a power distribution network simulation system, analog quantity and switching value test signals are output, and the analog quantity and switching value test signals are converted into digital messages through a simulation linkage device and sent to an empirical terminal. Each empirical terminal converts the message into a secondary test signal of the corresponding power distribution terminal, acquires an actual switching value test signal fed back by the corresponding power distribution terminal and transmits the actual switching value test signal to the handheld terminal control simulation system, and the handheld terminal control simulation system corrects the predicted switching value test signal in real time based on a dynamic matrix control method, so that the actual switching value test signal is obtained. And comparing the test signal with a corresponding total actual test signal so as to realize the remote simulation linkage test of the novel power distribution network self-healing system. According to the invention, the test efficiency and precision of the field test of the power distribution network self-healing system are improved.

Description

Technical Field

[0001] This invention relates to the field of power distribution automation system technology, and in particular to a remote simulation linkage test system and method for a power distribution network self-healing system. Background Technology

[0002] During operation, power distribution networks inevitably experience faults due to equipment aging, natural disasters, and other factors. The radial structure of a power distribution network makes it susceptible to power outages during fault conditions, reducing power supply reliability and impacting user experience. In this context, a power distribution network self-healing system can automatically detect and isolate faults (such as short circuits or open circuits) and restore power to non-faulty areas. Multi-source power distribution network self-healing technology is a key technology for improving network reliability. However, because it involves massive real-time data interaction, multi-dimensional control strategy coordination, and complex power grid operating conditions, comprehensive testing of the functional integrity, logical accuracy, and operational stability of the power distribution network self-healing system is crucial to ensuring its actual effectiveness.

[0003] Currently, there are two main modes of testing technology for distribution network self-healing systems. One is on-site testing, which uses equipment such as relay protection testers to sample and perform simple verification of the functional logic in the actual distribution network. This method is convenient to operate, has a short implementation cycle, and can quickly complete the preliminary verification of individual key functions. The other is offline laboratory simulation. Before the distribution network self-healing device is installed in the field, a power system dynamic distribution network simulation system is used in the laboratory to build a power grid simulation model, simulate the actual topology and various operating conditions, and use real-time simulation technology to output electrical quantities and switching quantities to test the distribution network self-healing system. This method has a comprehensive range of test items, can cover more comprehensive test items, and can discover potential problems before the device is installed.

[0004] However, both of the above testing modes have certain limitations. Field testing can only verify a few typical scenarios and cannot reproduce the complex topology changes, diverse fault types, and dynamic load fluctuations in the actual power grid, making it difficult to comprehensively evaluate the overall performance of the system. While laboratory offline simulation can achieve multi-scenario simulation and full-project testing, it needs to be completed under specific experimental conditions before the device is installed on-site, which significantly prolongs the overall commissioning cycle. Furthermore, it cannot adapt to the secondary verification needs of subsequent scenarios such as power grid topology adjustments, setting changes, and system function upgrades, making it difficult to meet the testing requirements of the entire life cycle of the distribution network self-healing system. Summary of the Invention

[0005] Therefore, the technical problem to be solved by the present invention is to overcome the limitations of existing power distribution network self-healing system testing technology, which is difficult to fully simulate complex working conditions and evaluate comprehensive performance in field testing, and has the defects of long laboratory offline simulation debugging cycle and poor adaptability.

[0006] To address the aforementioned technical problems, this invention provides a remote simulation and linkage testing method for a distribution network self-healing system, comprising: The distribution network simulation system is used to construct a distribution network simulation test model for the self-healing system service of the distribution network under test. It receives the fault type of the operating condition to be simulated from the local handheld control terminal and outputs the simulation analog quantity test signal and simulation switch quantity test signal of the distribution network. The simulation linkage device is connected to each demonstration terminal for receiving the simulated analog quantity test signals and simulated switch quantity test signals output by the power distribution network simulation system, and converting them into digital messages for each demonstration terminal. Multiple empirical terminals are configured, with one empirical terminal corresponding to each distribution terminal in the distribution network. Each empirical terminal is communicatively connected to the simulation linkage device, the self-healing system of the distribution network under test, and the corresponding distribution terminal. It is used to receive the digital messages output by the simulation linkage device and convert them into simulated secondary analog quantity test signals and simulated secondary switch quantity test signals, and send them to the corresponding distribution terminal and the self-healing system of the distribution network under test; it also collects the actual switch quantity test signals fed back by each distribution terminal and transmits them to the self-healing system of the distribution network under test. A local handheld control terminal, communicating with the power distribution network simulation system and various demonstration terminals, including: The data receiving unit is used to receive the simulated switch quantity test signals output by the power distribution network simulation system and the actual switch quantity test signals output by each empirical terminal, and to summarize them to obtain the total actual switch quantity test signal. The first judgment unit is used to determine whether the simulated switch quantity test signal is consistent with the total actual switch quantity test signal. If they are consistent, the self-healing system of the distribution network under test is normal; if they are inconsistent, the self-healing system of the distribution network under test is abnormal.

[0007] Preferably, the local handheld control terminal further includes: The second judgment unit is used to obtain the corrected predicted switching quantity test signal based on the simulated switching quantity test signal and the switching quantity error adjustment and correction model output by the distribution network simulation system. Determine whether the corrected predicted switching quantity test signal is consistent with the total actual switching quantity test signal. If they are consistent, the self-healing system of the distribution network under test is normal. If they are inconsistent, the self-healing system of the distribution network under test is abnormal.

[0008] Preferably, based on the simulated switching quantity test signal output by the distribution network simulation system and the switching quantity error adjustment and correction model, the corrected predicted switching quantity test signal is obtained, as shown in the formula: , , , , in, For error adjustment correction model, express The amount of error adjustment correction at time. For the first At that moment, This represents the total number of times involved in the error calculation. For the first Error adjustment correction amount at each moment , for Time's up The set of simulated switch quantity test signals at any given time. for Simulated switch signal at any given time. , The total number of future moments. Indicates transpose. for Time's up The set of time-corrected predictive switching test signals. for Predicted switching quantity test signal after time correction It is a dynamic matrix. Indicates the first At that moment, Indicates the first That moment.

[0009] Preferably, the local handheld control terminal further includes: The communication anomaly judgment unit is used to judge whether there is any anomaly in the communication status between the simulation linkage device and the power distribution network simulation system and each demonstration terminal. If the status is abnormal, the communication status and communication protocol between the simulation linkage device and the module are checked and eliminated.

[0010] Preferably, the simulation linkage device and each demonstration terminal communicate wirelessly via UDP packets.

[0011] Preferably, a buffer of fixed capacity is created in the simulation linkage device, and the total delay of the buffer is calculated based on the interval time of a single frame digital message; Extract a preset number of consecutive digital messages from the buffer in chronological order to construct a basic data packet; For the basic data packet, by setting the offset for each frame retrieval, continuous messages of the same length as the basic data packet are re-extracted from the buffer to generate multiple redundant data packets; the generated basic data packet and multiple redundant data packets are sent to each demonstration terminal.

[0012] Preferably, before the remote simulation and linkage test of the distribution network self-healing system, a database is built on the local handheld control terminal, and basic information data and test model data are input into the database; the data in the database is classified and integrated through a binary tree structure, and the table fields are defined using the third normal form; Offline remote adjustment tests are performed on equipment such as simulation linkage devices. After the tests are passed, the database matches the test script based on the configured basic information. The power distribution network simulation system outputs the simulation analog quantity test signal and simulation switch quantity test signal corresponding to the test script based on the test script.

[0013] Preferably, the local handheld control terminal further includes: The digital message anomaly judgment unit is used to determine whether there is an anomaly in the digital message output by each empirical terminal of the simulation linkage device. If there is, the communication link between the power distribution network simulation system and the simulation linkage device is processed to eliminate the fault.

[0014] Preferably, the local handheld control terminal is connected to the power distribution network simulation system via TCP protocol; The simulation linkage device is connected to each demonstration terminal via PTP direct connection mode.

[0015] This invention also provides a remote simulation linkage test method for a distribution network self-healing system, comprising: Using a distribution network simulation system, a distribution network simulation test model for the self-healing system service of the distribution network under test is constructed; the fault type of the operating condition to be simulated is received from the local handheld control terminal, and the simulated analog quantity test signal and the simulated switch quantity test signal are output; The simulation linkage device receives the simulated analog quantity test signals and simulated switch quantity test signals output by the power distribution network simulation system and converts them into digital messages for each empirical terminal. Each demonstration terminal converts the corresponding digital message output by the simulation linkage device into a simulated secondary analog quantity test signal and a simulated secondary switch quantity test signal, and sends them to the corresponding power distribution terminal and the self-healing system of the power distribution network under test. It also collects the actual switch quantity test signals fed back by each power distribution terminal and transmits them to the self-healing system of the power distribution network under test. The local handheld control terminal receives the simulated switching quantity test signals output by the power distribution network simulation system and the actual switching quantity test signals output by each demonstration terminal, and summarizes them to obtain the total actual switching quantity test signal. Determine whether the simulated switch quantity test signal is consistent with the total actual switch quantity test signal. If they are consistent, the self-healing system of the distribution network under test is normal. If they are inconsistent, the self-healing system of the distribution network under test is abnormal.

[0016] Compared with the prior art, the above-described technical solution of the present invention has the following advantages: This invention discloses a remote simulation linkage test system and method for a distribution network self-healing system. Addressing the difficulty of simulating complex operating conditions in field testing, it directly constructs a distribution network simulation test model for the self-healing system under test using a distribution network simulation system. This model can flexibly generate various simulated analog and switching test signals, accurately reproducing complex scenarios such as short-circuit faults and load surges, without relying on the actual field conditions of the distribution network, thus overcoming the limitation of single-scenario testing in field testing. To solve the poor adaptability of offline laboratory simulations, a layered conversion mechanism between the simulation linkage device and the verification terminal is designed. The simulation linkage device converts simulated analog and switching test signals into digital messages adapted to each verification terminal. The verification terminal then restores these signals to secondary signals and sends them to the actual distribution terminal and the self-healing system under test. Simultaneously, it collects the actual feedback signals from the distribution terminal in real time. Through a closed-loop flow of simulation signal-digital message-secondary signal-actual feedback, physical interaction between simulation testing and the actual terminal and self-healing system is achieved, solving the compatibility gap between offline simulation and actual equipment. By utilizing a local handheld control terminal, real-time control of simulation signals is achieved. The performance of the self-healing system is directly determined by comparing the consistency of simulated switching quantity test signals with the total actual switching quantity test signals, eliminating the tedious manual data matching step in offline simulation and significantly shortening the debugging cycle. This enables the virtual migration of the distribution network dynamic simulation system from laboratory applications to field testing applications in distribution automation terminal systems. Comprehensive field simulation testing of the distribution network self-healing system was completed, promptly eliminating potential failures of the distribution network's self-healing function caused by system functional defects, setting anomalies, and terminal malfunctions. This improves the efficiency of field testing, ensures the completeness of field test projects, and guarantees the safe and reliable operation of the distribution network.

[0017] Furthermore, to address the issue of errors caused by coefficient transformation and transmission delays during signal conversion and communication in simulated switch quantity test signals, which lead to insufficient accuracy of the simulated switch quantity test signals and thus affect the performance judgment of the self-healing system, this invention introduces an error adjustment and correction model. Based on the real-time simulated signal at the current moment, error adjustment correction amounts, dynamic matrices, and other parameters, a prediction formula is constructed to ensure consistency between the theoretical and actual output signals, and between the theoretical predicted test results and the actual test results, thus improving the accuracy of the entire closed-loop test results. The error adjustment and correction model can automatically adjust the correction coefficients according to the real-time operating status of the distribution network, adapting to changes in system characteristics under different operating conditions, ensuring effective elimination of deviations between simulated and actual signals in various operating scenarios. By comparing the corrected predicted signal with the actual switch quantity signal in real time, the system can quickly identify faults or anomalies in the distribution network self-healing system, improving the testing accuracy of the distribution network self-healing system. Attached Figure Description

[0018] To make the content of this invention easier to understand, the invention will be further described in detail below with reference to specific embodiments and accompanying drawings, wherein:

[0019] Figure 1 This is an overall schematic diagram of a remote simulation and linkage testing system for a power distribution network self-healing system according to the present invention.

[0020] Figure 2 This is a flowchart of a remote simulation linkage test system for a power distribution network self-healing system according to the present invention.

[0021] Figure 3 It is a control principle diagram based on dynamic matrix.

[0022] Figure 4 This is a schematic diagram of the UDP packet redundancy construction and transmission method.

[0023] Figure 5 This is a schematic diagram of the adaptive calling method of the test model database.

[0024] Figure 6 This is a flowchart of the steps for a remote simulation and linkage test method for a power distribution network self-healing system. Detailed Implementation

[0025] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, so that those skilled in the art can better understand and implement the present invention. However, the embodiments described are not intended to limit the present invention.

[0026] Reference Figure 1 As shown in the figure, this embodiment provides a remote simulation and linkage test system for a distribution network self-healing system, including: The distribution network simulation system is used to construct a distribution network simulation test model for the self-healing system service of the distribution network under test. It receives the fault type of the operating condition to be simulated from the local handheld control terminal and outputs the simulation analog quantity test signal and simulation switch quantity test signal of the distribution network. Among them, the simulated analog quantity test signal represents electrical quantity signals, such as physical quantities like voltage, current, and power in the operation of the distribution network, while the simulated switch quantity test signal represents logic quantity signals, which can accurately simulate the opening and closing position status of various switching equipment in the distribution network.

[0027] The simulation linkage device is connected to each demonstration terminal for receiving the simulated analog quantity test signals and simulated switch quantity test signals output by the power distribution network simulation system, and converting them into digital messages for each demonstration terminal. Multiple empirical terminals are configured, with one empirical terminal corresponding to each distribution terminal in the distribution network. Each empirical terminal is communicatively connected to the simulation linkage device, the self-healing system of the distribution network under test, and the corresponding distribution terminal. It is used to receive the digital messages output by the simulation linkage device and convert them into simulated secondary analog quantity test signals and simulated secondary switch quantity test signals, and send them to the corresponding distribution terminal and the self-healing system of the distribution network under test; it also collects the actual switch quantity test signals fed back by each distribution terminal and transmits them to the self-healing system of the distribution network under test. A local handheld control terminal, communicating with the power distribution network simulation system and various demonstration terminals, including: The data receiving unit is used to receive the simulated switch quantity test signals output by the power distribution network simulation system and the actual switch quantity test signals output by each empirical terminal, and to summarize them to obtain the total actual switch quantity test signal. The first judgment unit is used to determine whether the simulated switch quantity test signal is consistent with the total actual switch quantity test signal. If they are consistent, the self-healing system of the distribution network under test is normal; if they are inconsistent, the self-healing system of the distribution network under test is abnormal.

[0028] In this embodiment, preferably, the local handheld control terminal further includes: The second judgment unit is used to obtain the corrected predicted switching quantity test signal based on the simulated switching quantity test signal and the switching quantity error adjustment and correction model output by the distribution network simulation system. Determine whether the corrected predicted switching quantity test signal is consistent with the total actual switching quantity test signal. If they are consistent, the self-healing system of the distribution network under test is normal. If they are inconsistent, the self-healing system of the distribution network under test is abnormal.

[0029] like Figure 3 As shown, Figure 3 This is a control principle diagram based on a dynamic matrix.

[0030] In this embodiment, preferably, the corrected predicted switching quantity test signal is obtained based on the simulated switching quantity test signal output by the distribution network simulation system and the switching quantity error adjustment and correction model, as shown in the formula: , , , , in, For error adjustment correction model, express The amount of error adjustment correction at time. For the first At that moment, This represents the total number of times involved in the error calculation. For the first Error adjustment correction amount at each moment , for Time's up The set of simulated switch quantity test signals at any given time. for Simulated switch signal at any given time. , The total number of future moments. Indicates transpose. for Time's up The set of time-corrected predictive switching test signals. for Predicted switching quantity test signal after time correction It is a dynamic matrix. Indicates the first At that moment, Indicates the first At that moment Map the signals output by the empirical terminal of the entire closed-loop test system. The signal mapping the theoretical control output of the power distribution network simulation system to the entire closed-loop test system. Mapping error adjustment and correction model.

[0031] During the process of signal transformation and wireless transmission, the simulated signal may have errors due to coefficient transformation and transmission delay. These errors need to be corrected by a matrix model to ensure that the theoretical output signal is consistent with the actual output signal and that the theoretical prediction test results are consistent with the actual test results. This helps to improve the accuracy of the entire closed-loop test results.

[0032] This invention establishes a control flow of model building, signal prediction, correction and verification, and signal output. The local handheld control terminal, simulation linkage device, demonstration terminal and power distribution network simulation system adopt a dual communication protocol and dual role parallel connection to carry out information interaction, and build a closed-loop test system to ensure the stability of closed-loop test results.

[0033] like Figure 2 As shown, Figure 2 This is a flowchart of a remote simulation linkage test system for a power distribution network self-healing system according to the present invention.

[0034] The remote simulation and linkage test process for a power distribution network self-healing system according to the present invention includes: 1) Build a distribution network simulation test model for the distribution network self-healing system service using a distribution network simulation system; 2) Deploy the test environment and build wireless communication models for handheld control terminals, power distribution network simulation systems, simulation linkage devices, and demonstration terminals; 3) The local handheld control terminal obtains the simulation test model of the power distribution network simulation system through the TCP protocol and constructs a closed-loop test data test case library; 4) The local handheld control terminal remotely controls the power distribution network simulation system via TCP protocol to output simulation test signals; the simulation test signals include simulation analog quantity test signals and simulation switch quantity test signals; 5) Determine if there are any abnormalities in the communication status between the simulation linkage device and the distribution network simulation system and each demonstration terminal. If the status is abnormal, check and eliminate the communication status and communication protocol between the simulation linkage device and the distribution network simulation system and each demonstration terminal. If the status is normal, receive the simulation analog quantity test signal and simulation switch quantity test signal output by the distribution network simulation system, convert them into digital messages for each demonstration terminal, and transmit them wirelessly to the simulation linkage device. 6) The demonstration terminal synchronously receives digital messages from the simulated linkage device and restores them in real time as simulated secondary analog quantity test signals (related voltage and current test signals) and simulated secondary switch quantity test signals (related switch open and closed position test signals). 7) The demonstration terminal collects actual switching quantity test signals (open and closed position output signals) from different power distribution terminals through the switch position acquisition channel; 8) Dynamically simulate relevant power faults through a power distribution network simulation system to perform overall simulation verification of the power distribution network self-healing system; 9) The demonstration terminal will send the output test simulation signal and the collected distribution terminal position signal to the local handheld control terminal via the IEC104 protocol in the form of telemetry and telesignal messages. 10) The local handheld control terminal compares the theoretical values ​​of the test model with the actual output values ​​of the empirical terminal to form a closed-loop test control system; 11) Determine whether the output of the simulation linkage system is normal. When the output is abnormal, test the data transmission process and perform defect elimination on the model. When the test output value is normal, use the local handheld control terminal to perform a closed-loop comparison of the theoretical value of the simulation test model and the switch position of the power distribution terminal fed back by the empirical terminal. 12) If the theoretical values ​​of the simulation test model and the feedback of the distribution terminal switch positions from the empirical terminal are inconsistent, it proves that there is a problem with the self-healing system of the tested distribution network, and the on-site personnel need to perform troubleshooting. When the comparison is consistent, it proves that the self-healing system of the tested distribution network is normal, and the test report can be generated directly, thus ending the relevant simulation test.

[0035] like Figure 4 As shown, Figure 4 A schematic diagram of a redundant UDP packet transmission method.

[0036] In this embodiment, preferably, the simulation linkage device and each demonstration terminal communicate wirelessly via UDP packets, including: A fixed-capacity buffer is created in the simulation linkage device, and the total delay of the buffer is calculated based on the interval time of a single frame digital message. Extract a preset number of consecutive digital messages from the buffer in chronological order to construct a basic data packet; For the basic data packet, by setting the offset for each frame retrieval, continuous messages of the same length as the basic data packet are re-extracted from the buffer to generate multiple redundant data packets; the generated basic data packet and multiple redundant data packets are sent to each demonstration terminal.

[0037] In this embodiment, the UDP simulation test interaction data is transmitted using a message redundancy merging method. The original digital message transmission rate is 4000 frames per second, with each frame interval being 250us.

[0038] A fixed-capacity buffer (with a capacity of 20 frames) is created in the simulation linkage device (sender end), and the total buffer delay (5ms) is calculated based on the single frame digital message interval time (250μs). The buffer messages are reconstructed using a redundancy merging method. The preset merging quantity is set to 12. Twelve consecutive digital messages are extracted from the buffer in chronological order to construct the basic data packet. The 12-frame message is merged using a step method. For the basic data packet, by setting the offset of each frame (4 frames), multiple overlapping redundant data packets are generated (4 frames of original data packets are obtained after each step of 4 frames, and a new redundant data packet is constructed by accumulating 2 step steps to obtain 12 frames of messages). This ensures that the same frame message is sent repeatedly 3 times, thus ensuring the continuity of information transmission when the wireless communication is restored after a short interruption. The generated redundant data packets and basic data packets are arranged according to the transmission sequence and sent to each demonstration terminal to ensure the continuity of information transmission when the wireless communication is restored after a short interruption.

[0039] In this embodiment, preferably, before the remote simulation linkage test of the distribution network self-healing system, the basic information configuration and test model configuration are completed in the database; the data in the database are associated by category, level and hierarchy, integrated through a binary tree structure, and the table field definitions adopt the third normal form; Taking basic personnel information as an example, after setting up the personnel information table, each personnel information entry will include complete attributes such as personnel number, name, and department. However, in the experimental information table, only the personnel number needs to be listed; there is no need to add personnel-related information such as name and department. If the personnel information table is not pre-built, it must be added according to the requirements of the third normal form; otherwise, it will result in a large amount of duplicate data storage (i.e., data redundancy). Simultaneously, each row of data in each table in the database can be used as a tree node, establishing connections with nodes in other tables through foreign keys (such as the "personnel number" in the experimental information table corresponding to the primary key in the personnel information table), ultimately forming a balanced binary tree structure. Unlike linear lists, which require traversing the entire linked list from beginning to end to find data, this balanced binary tree structure, using the binary search idea, can control the time complexity of data retrieval to O(logn) (where n is the total amount of data), significantly improving retrieval efficiency. Therefore, the combination of the third normal form and the binary tree structure can both ensure data consistency by eliminating redundancy and accelerate data access speed by optimizing the structure.

[0040] The database tables are categorized based on the specific implementation of the functional modules, into Global Information (used to "serve the entire system across business modules"), Basic Information (used to "support the basic operation of the system"), Experimental Model (used to "design experimental plans and manage equipment"), Equipment Testing (used for "test tasks"), and Experimental Data (used to "record / analyze experimental results").

[0041] Taking basic information as an example, its hierarchical relationship can be simplified to a master table (information entry table) and subordinate tables (personnel table, sample registration table). The master table is at the top of the hierarchy, recording the core relationships of business events (such as "who entered which sample"), with concise fields (only retaining ID and key business timestamps, etc.), serving as the "hub" connecting the subordinate tables. The subordinate tables are at the next level, recording the detailed attributes corresponding to the IDs in the master table (such as the personnel's name and the sample's specifications), providing supplementary information to the master table. The "personnel ID" and "sample ID" in the master table serve as foreign keys in the subordinate tables, enforced through database "foreign key constraints." Only IDs that already exist in the subordinate tables can be entered in the master table (for example, a non-existent "personnel ID" cannot be entered in the information entry table) to ensure the validity of the association. This database table hierarchy and association design pattern follows the principles of "master-subordinate table" relationship and "normalized design," ensuring data integrity while avoiding redundancy.

[0042] After completing the above database configuration, offline remote adjustment tests are performed on equipment such as simulation linkage devices. After the test is passed, the database matches the test script based on the configured basic information; the power distribution network simulation system outputs the simulation analog quantity test signal and simulation switch quantity test signal corresponding to the test script based on the test script.

[0043] This invention employs a database-adaptive multi-source data table retrieval method for relevant information. Due to the diversity of experimental scripts in the model, manual verification and configuration during experiments are time-consuming and subject to human error. The database allows for flexible adaptation of scripts based on the basic configuration, making experimental data storage and management more scientific and efficient.

[0044] like Figure 5 As shown, Figure 5 This diagram illustrates the adaptive database invocation method for the test model. Each experiment begins with basic information configuration and test model configuration. After successful offline remote adjustment testing of the device, the database automatically matches the script file based on the basic configuration to complete the experiment. To improve the adaptive retrieval speed of the model script, a binary tree structure was used to classify, grade, and hierarchically associate the scattered data. Simultaneously, the table fields were defined using the third normal form (3NF) to reduce redundant field design and avoid sacrificing retrieval performance for space. The binary tree table structure combined with the 3NF field definition reduces the number of database I / O read / write operations and makes query performance more stable, thus efficiently completing the entire experiment.

[0045] In this embodiment, specifically, the local handheld control terminal is connected to the power distribution network simulation system via the TCP protocol.

[0046] In this embodiment, the simulation linkage device is specifically connected to each demonstration terminal via PTP direct connection mode.

[0047] In this embodiment, preferably, the local handheld control terminal further includes: The digital message anomaly judgment unit is used to determine whether there is an anomaly in the digital message output by each empirical terminal of the simulation linkage device. If there is, the communication link between the power distribution network simulation system and the simulation linkage device is processed to eliminate the fault.

[0048] In this embodiment, preferably, the local handheld control terminal further includes: The communication anomaly judgment unit is used to judge whether there is any anomaly in the communication status between the simulation linkage device and the power distribution network simulation system and each demonstration terminal. If the status is abnormal, the communication status and communication protocol between the simulation linkage device and the module are checked and eliminated.

[0049] In this embodiment, specifically, it is determined whether there is any abnormality in the communication status between the simulation linkage device and the power distribution network simulation system and each demonstration terminal. This includes: the local handheld control terminal controls the sending of SCTP heartbeat messages with timestamps to the power distribution network simulation system and each demonstration terminal every 5 seconds. The power distribution network simulation system and each demonstration terminal will respond when they receive the heartbeat messages. If a module does not respond to two consecutive heartbeat messages, it is determined that there is an abnormality in the communication status between the module and the simulation linkage device.

[0050] This invention discloses a remote simulation and linkage testing system for a distribution network self-healing system. It comprises a local handheld control terminal, a distribution network simulation system, a simulation linkage device, and a verification terminal. The local handheld control terminal connects to the distribution network simulation system and the verification terminal via 5G or other wireless communication methods. This allows for remote communication with the test model of the distribution network simulation system and real-time output control. It also enables timely acquisition of on-site test signals and results through the verification terminal. The simulation linkage device acquires the simulation test signals from the distribution network simulation system through an analog signal acquisition channel and converts them into digital UDP packets using an analog-to-digital synchronous conversion function. These packets are then directly transmitted to different verification terminals in PTP direct connection mode. The verification terminals convert these signals into secondary analog and switching test signals and send them to the distribution terminal, thereby realizing remote simulation and linkage testing of the novel distribution network self-healing system.

[0051] This invention utilizes a dynamic matrix control method to construct a remote simulation-linked closed-loop testing system that combines laboratory simulation with field devices. Compared to traditional field testing methods, the method proposed in this invention offers comprehensive testing items. Compared to traditional laboratory testing methods, the method proposed in this invention is more efficient and flexible, effectively solving the problems faced by new multi-source complex distribution network self-healing systems such as wind, solar, and energy storage during operation and maintenance, such as setting mismatch, changes in grid topology, or functional upgrades of the field distribution network self-healing system, which require comprehensive field testing again. This allows for accurate evaluation of the performance of the distribution network self-healing system in actual operation.

[0052] This invention organically combines the advantages of traditional testing technologies, and can solve the problem of comprehensive on-site testing of new multi-source complex distribution network self-healing systems such as wind, solar, and energy storage during operation and maintenance. It can accurately evaluate the performance of distribution network self-healing systems in actual operation, provide support for the research and application of protection configuration and setting, self-healing control and other technologies of new power systems, and provide a guarantee for the safe and reliable operation of multi-source distribution networks.

[0053] refer to Figure 6 This second embodiment provides a remote simulation linkage test method for a distribution network self-healing system, including: Step S1: Using a power distribution network simulation system, construct a simulation test model of the power distribution network in the area to be tested; receive the fault type of the simulated operating condition output by the local handheld control terminal, and output the simulated analog quantity test signal and the simulated switch quantity test signal; Step S2: Receive the simulated analog quantity test signal and simulated switch quantity test signal output by the power distribution network simulation system through the simulation linkage device, and convert them into digital messages for each empirical terminal; Step S3: Each verification terminal converts the corresponding digital message output by the simulation linkage device into a simulation secondary analog quantity test signal and a simulation secondary switch quantity test signal, and sends them to the corresponding power distribution terminal and the self-healing system of the power distribution network under test. It also collects the actual switch quantity test signals fed back by each power distribution terminal and transmits them to the self-healing system of the power distribution network under test. Step S4: The local handheld control terminal receives the simulated switching quantity test signals output by the power distribution network simulation system and the actual switching quantity test signals output by each demonstration terminal, and summarizes them to obtain the total actual switching quantity test signals. Step S5: Determine whether the simulated switch quantity test signal is consistent with the total actual switch quantity test signal. If they are consistent, the self-healing system of the distribution network under test is normal. If they are inconsistent, the self-healing system of the distribution network under test is abnormal.

[0054] This invention utilizes clock synchronization technology in conjunction with a 5G wireless network to transmit simulated switch signal test data from a dynamic power distribution network simulation system to different distribution terminal sites in real time. A point-to-point direct transmission mode and a dual data buffering mechanism ensure reliable remote transmission of application data. Ultimately, through the collaborative action of the simulation linkage device and the demonstration terminal, the analog and switch signals output by the dynamic power distribution network simulation system are converted into secondary analog and switch signals via the 5G wireless network, completing the migration of the dynamic power distribution network simulation system from a laboratory virtual environment to the field testing application of the distribution automation terminal system. This enables full-scenario field simulation testing of the distribution network self-healing system, promptly eliminating potential failures of the self-healing function caused by system functional defects, terminal anomalies, and other issues. Compared to traditional testing methods, this invention effectively overcomes the limitations of testing scenarios, improves field testing efficiency, ensures the integrity of test items, and provides strong support for the safe and reliable operation of the distribution network.

[0055] 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.

[0056] 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.

[0057] 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.

[0058] 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.

[0059] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A remote simulation and linkage testing system for a power distribution network self-healing system, characterized in that, include: The distribution network simulation system is used to construct a distribution network simulation test model for the self-healing system service of the distribution network under test. It receives the fault type of the operating condition to be simulated from the local handheld control terminal and outputs the simulation analog quantity test signal and simulation switch quantity test signal of the distribution network. The simulation linkage device is connected to each demonstration terminal for receiving the simulated analog quantity test signals and simulated switch quantity test signals output by the power distribution network simulation system, and converting them into digital messages for each demonstration terminal. Multiple empirical terminals are configured, with one empirical terminal corresponding to each distribution terminal in the distribution network. Each empirical terminal is communicatively connected to the simulation linkage device, the self-healing system of the distribution network under test, and the corresponding distribution terminal. It is used to receive the digital messages output by the simulation linkage device and convert them into simulated secondary analog quantity test signals and simulated secondary switch quantity test signals, and send them to the corresponding distribution terminal and the self-healing system of the distribution network under test; it also collects the actual switch quantity test signals fed back by each distribution terminal and transmits them to the self-healing system of the distribution network under test. A local handheld control terminal, communicating with the power distribution network simulation system and various demonstration terminals, including: The data receiving unit is used to receive the simulated switching quantity test signals output by the power distribution network simulation system and the actual switching quantity test signals output by each empirical terminal, and to summarize them to obtain the total actual switching quantity test signal. The first judgment unit is used to determine whether the simulated switch quantity test signal is consistent with the total actual switch quantity test signal. If they are consistent, the self-healing system of the distribution network under test is normal; if they are inconsistent, the self-healing system of the distribution network under test is abnormal.

2. The remote simulation and linkage testing system for a power distribution network self-healing system according to claim 1, characterized in that, The local handheld control terminal also includes: The second judgment unit is used to obtain the corrected predicted switching quantity test signal based on the simulated switching quantity test signal and the switching quantity error adjustment and correction model output by the distribution network simulation system. Determine whether the corrected predicted switching quantity test signal is consistent with the total actual switching quantity test signal. If they are consistent, the self-healing system of the distribution network under test is normal. If they are inconsistent, the self-healing system of the distribution network under test is abnormal.

3. The remote simulation and linkage testing system for a power distribution network self-healing system according to claim 1, characterized in that, Based on the simulated switching quantity test signal output by the distribution network simulation system and the switching quantity error adjustment and correction model, the corrected predicted switching quantity test signal is obtained, as shown in the formula: ， ， ， ， in, For error adjustment correction model, express The amount of error adjustment correction at time. For the first At that moment, This represents the total number of times involved in the error calculation. For the first Error adjustment correction amount at each moment , for Time's up The set of simulated switch quantity test signals at any given time. for Simulated switch signal at any given time. , The total number of future moments. Indicates transpose. for Time's up The set of time-corrected predictive switching test signals. for Predicted switching quantity test signal after time correction It is a dynamic matrix. Indicates the first At that moment, Indicates the first That moment.

4. The remote simulation and linkage testing system for a distribution network self-healing system according to claim 1, characterized in that, The local handheld control terminal also includes: The communication anomaly judgment unit is used to judge whether there is any anomaly in the communication status between the simulation linkage device and the power distribution network simulation system and each demonstration terminal. If the status is abnormal, the communication status and communication protocol between the simulation linkage device and the module are checked and eliminated.

5. The remote simulation and linkage testing system for a distribution network self-healing system according to claim 1, characterized in that, The simulation linkage device and each demonstration terminal communicate wirelessly via UDP packets.

6. The remote simulation and linkage testing system for a distribution network self-healing system according to claim 5, characterized in that, A fixed-capacity buffer is created in the simulation linkage device, and the total delay of the buffer is calculated based on the interval time of a single frame digital message. Extract a preset number of consecutive digital messages from the buffer in chronological order to construct a basic data packet; For the basic data packet, by setting the offset for each frame retrieval, continuous messages of the same length as the basic data packet are re-extracted from the buffer to generate multiple redundant data packets; the generated basic data packet and multiple redundant data packets are sent to each demonstration terminal.

7. The remote simulation and linkage testing system for a distribution network self-healing system according to claim 1, characterized in that, Before the remote simulation and linkage test of the distribution network self-healing system, a database is built on the local handheld control terminal, and basic information data and test model data are input into the database. The data in the database is classified and integrated through a binary tree structure, and the table fields are defined using the third normal form. Offline remote adjustment tests are performed on equipment such as simulation linkage devices. After the tests are passed, the database matches the test script based on the configured basic information. The power distribution network simulation system outputs the simulation analog quantity test signal and simulation switch quantity test signal corresponding to the test script based on the test script.

8. The remote simulation and linkage testing system for a distribution network self-healing system according to claim 1, characterized in that, The local handheld control terminal also includes: The digital message anomaly judgment unit is used to determine whether there is an anomaly in the digital message output by each empirical terminal of the simulation linkage device. If there is, the communication link between the power distribution network simulation system and the simulation linkage device is processed to eliminate the fault.

9. The remote simulation and linkage testing system for a distribution network self-healing system according to claim 1, characterized in that, The local handheld control terminal is connected to the power distribution network simulation system via TCP protocol; The simulation linkage device is connected to each demonstration terminal via PTP direct connection mode.

10. A remote simulation and linkage testing method for a power distribution network self-healing system, characterized in that, include: A distribution network simulation test model for the self-healing system service of the distribution network under test is constructed using a distribution network simulation system. It receives the fault type of the simulated working condition output from the local handheld control terminal and outputs the simulated analog quantity test signal and the simulated switch quantity test signal. The simulation linkage device receives the simulated analog quantity test signals and simulated switch quantity test signals output by the power distribution network simulation system and converts them into digital messages for each empirical terminal. Each demonstration terminal converts the corresponding digital message output by the simulation linkage device into a simulated secondary analog quantity test signal and a simulated secondary switch quantity test signal, and sends them to the corresponding power distribution terminal and the self-healing system of the power distribution network under test. It also collects the actual switch quantity test signals fed back by each power distribution terminal and transmits them to the self-healing system of the power distribution network under test. The local handheld control terminal receives the simulated switching quantity test signals output by the power distribution network simulation system and the actual switching quantity test signals output by each demonstration terminal, and summarizes them to obtain the total actual switching quantity test signal. Determine whether the simulated switch quantity test signal is consistent with the total actual switch quantity test signal. If they are consistent, the self-healing system of the distribution network under test is normal. If they are inconsistent, the self-healing system of the distribution network under test is abnormal.

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