A power distribution network fault handling simulation training evaluation method based on seven-layer trajectory node tracking array

Abstract

The application provides a power distribution network fault disposal simulation training evaluation method based on a seven-layer track node tracking array. First, the simulation training operation result information of seven links, such as a sensing node, in the fault disposal process of a dispatcher is described by establishing a seven-layer track node tracking array model. Then, the fault disposal process of the dispatcher is quantitatively evaluated by establishing a sensing node evaluation index. Secondly, the whole process from the sensing node to the archiving node of the dispatcher in disposing a certain fault is evaluated by establishing a single fault disposal evaluation index. Finally, the comprehensive evaluation of all fault disposal conditions in the simulation training of the dispatcher is performed by establishing a power distribution network fault disposal simulation training comprehensive evaluation index. The scheme can comprehensively reflect the fault disposal process of the dispatcher, better reflect the fault disposal level of the dispatcher, the method is simple and reliable, can meet the field application requirements, and has good popularization value.

Description

Technical Field

[0001] This invention relates to the field of simulation training and evaluation for distribution network fault handling, and in particular to a simulation training and evaluation method for distribution network fault handling based on a seven-layer trajectory node tracking array. Background Technology

[0002] With rapid economic development, a large number of distributed power sources have been connected to the power system through medium and low voltage distribution networks, providing strong support for local power balance and improving power supply reliability.

[0003] As the intermediate bridge connecting the demand and supply sides, the distribution network is also a high-risk link for faults. Ensuring its stable dispatch and operation and improving the speed of fault handling are crucial. Simulation training is a key measure to improve dispatcher skills. Distribution network simulation training differs from transmission network and substation simulation training, possessing its own characteristics. Distribution network training primarily cultivates dispatchers' ability to handle faults, covering the established operations required from the occurrence of a fault to its complete resolution and restoration of power. When a fault occurs, the dispatcher needs to quickly determine the fault area based on protection actions and equipment alarms received from the master station and issue an instruction ticket to isolate the fault. Simultaneously, affected loads are quickly transferred, and the affected users and areas are communicated to repair personnel for rapid on-site repairs. After repairs are completed, corresponding power restoration operations are performed to restore the pre-fault operating mode, and the entire fault handling process is recorded in the dispatch log. Distribution network faults include various types such as short-circuit faults, low-current grounding faults, open-circuit faults, and busbar undervoltage faults, each requiring different handling methods. Standardizing dispatchers' handling methods for different types of faults and evaluating their fault handling skills has been a research hotspot.

[0004] In conclusion, evaluating dispatchers' fault handling simulation training at each stage of the entire process from fault detection to power restoration is of significant practical importance for accurately and quickly assessing their fault handling capabilities. Summary of the Invention

[0005] The purpose of this invention is to solve the problem of simulation training and evaluation for fault handling in power distribution networks. Combining the characteristics of power distribution networks, this invention presents a simulation training and evaluation method for fault handling in power distribution networks based on a seven-layer trajectory node tracking array. Based on this method, an evaluation system with good practical value is designed to improve existing power distribution simulation training systems. This method can directly obtain objective evaluation and assessment indicators, which is of great value for improving the security of existing power distribution networks.

[0006] In the design process of this scheme, firstly, a seven-layer trajectory node tracking array model is established to describe the simulation training operation results information of seven stages in the dispatcher's fault handling process: perception node, analysis node, handling node, ticketing node, emergency repair node, power restoration node, and archiving node. Then, evaluation indicators for perception node, analysis node, handling node, ticketing node, emergency repair node, power restoration node, and archiving node are established to quantitatively evaluate the dispatcher's fault handling process. Secondly, a single fault handling evaluation indicator is established to evaluate the entire process of the dispatcher handling a fault from the perception node to the archiving node. Finally, a comprehensive evaluation indicator for distribution network fault handling simulation training is established to comprehensively evaluate all fault handling situations in the dispatcher's simulation training. This scheme can comprehensively reflect the dispatcher's fault handling process and effectively reflect the dispatcher's fault handling level. The method is simple and reliable, meets the needs of field applications, and has good promotional value.

[0007] The present invention specifically adopts the following technical solution:

[0008] A simulation training and evaluation method for distribution network fault handling based on a seven-layer trajectory node tracking array includes the following steps:

[0009] Step S1: By establishing a seven-layer trajectory node tracking array model, the simulation training operation results information of the dispatcher's fault handling process includes seven links: perception node, analysis node, handling node, ticketing node, emergency repair node, power supply node, and archiving node.

[0010] Step S2: By establishing evaluation indicators for sensing nodes, analysis nodes, handling nodes, ticketing nodes, emergency repair nodes, power restoration nodes, and archiving nodes, the dispatcher's fault handling process is quantitatively evaluated.

[0011] Step S3: Evaluate the entire process of a dispatcher handling a fault from the sensing node to the archiving node by establishing a single fault handling evaluation index;

[0012] Step S4: By establishing a comprehensive evaluation index for distribution network fault handling simulation training, a comprehensive evaluation of all fault handling situations in the dispatcher simulation training is conducted.

[0013] Furthermore, in step S1, a seven-layer trajectory node tracking array (STNM) model is established to describe the simulation training operation results information of the dispatcher in the fault handling process at seven stages: sensing node, analysis node, handling node, ticketing node, emergency repair node, power supply node, and archiving node. Specifically, it is described as follows:

[0014]

[0015]

[0016] In the formula, ST i1 ~ST i7 These represent the operation results information of the dispatcher at the sensing node, analysis node, handling node, ticketing node, emergency repair node, power restoration node, and archiving node during the i-th fault handling process; st i1,1 ~st i1,3 These are, respectively, the fault occurrence determination correctness information, the fault type perception correctness information, and the fault perception time information in the sensing node; st i2,1 ~st i2,3 These are the fault location accuracy information, fault location economic information, and fault assessment time information in the assessment node, respectively. The fault location economic information is determined by comparing the actual power outage area with the assessed power outage area, and its value ranges from [0,1]. A value closer to 1 indicates a more accurate fault location by the dispatcher. i3,1 ~st i3,3 These are, respectively, the fault isolation correctness information, the fault transfer correctness information, and the fault handling time information in the handling node; st i4,1 st i4,2 These are the correctness information of the scheduling instruction ticket and the time taken to complete the scheduling instruction ticket in the ticketing node; st i5,1 st i5,2 These are the fault repair correctness information and fault repair time information in the emergency repair node; st i6,1 st i6,2 These are the correctness information for power restoration and the power restoration time information in the power restoration node; st i7,1 st i7,2 These are the correctness information and scheduling log time information in the archived node, respectively. The values ​​of all correctness information are in the range of 0 and 1, where 0 represents an error and 1 represents a correct one; the time information represents the time taken by the scheduler to complete the steps of this node, and if this value does not exist, it is represented by -1; i = 1, 2, ..., n, where n is the total number of faults that need to be handled in the scheduler simulation training.

[0017] Furthermore, in step S2, the Perception Node Evaluation Index (PNEI) is established to evaluate the dispatcher's fault perception training operational level, specifically as follows:

[0018]

[0019] In the formula, PNEI i The evaluation index of the sensing node for handling the i-th fault in the simulation training of the dispatcher; T i1 The minimum time for fault detection among all trainees;

[0020] The JNEI (Joint Node Evaluation Index) is established to evaluate the fault diagnosis and operational skills of dispatchers during training. Specifically:

[0021]

[0022] In the formula, JNEI i The evaluation index for the assessment node of the i-th fault handled in the simulation training of dispatchers; T i2 This represents the minimum time required for fault diagnosis among all trainees.

[0023] The Dispatch Node Evaluation Index (DNEI) is established to evaluate the dispatcher's fault isolation and transfer training skills. Specifically:

[0024]

[0025] In the formula, DNEI i The evaluation index for the handling node of the i-th fault in the dispatcher simulation training; T i3 This represents the minimum troubleshooting time among all trained personnel.

[0026] The TNEI (Tracking Node Evaluation Index) is established to evaluate the dispatcher's skill level in writing dispatch instruction tickets. Specifically:

[0027]

[0028] In the formula, TNEI i The evaluation index for the ticketing node of the i-th fault handled in the simulation training of dispatchers; T i4 The minimum time required to complete a dispatch instruction ticket among all trained personnel;

[0029] An evaluation index, ENEI, is established to assess the interaction level between dispatchers and on-site personnel during emergency repairs. Specifically:

[0030]

[0031] In the formula, ENEI i The evaluation index for the repair node of the i-th fault handled in the simulation training of dispatchers; T i5 This represents the minimum time required for emergency repairs among all trained personnel.

[0032] The Restored Power Node Evaluation Index (RNEI) is established to evaluate the dispatcher's ability to write restored power order tickets and restore power supply. Specifically:

[0033]

[0034] In the formula, RNEI iThe evaluation index for the power restoration node of the i-th fault handled in the dispatcher simulation training; T i6 The minimum power restoration time among all trained personnel;

[0035] An archive node evaluation index (ANEI) is established to evaluate the dispatcher's skill level in writing dispatch logs. Specifically:

[0036]

[0037] In the formula, ANEI i The evaluation index for the archive node of the i-th fault handled in the dispatcher simulation training; T i7 The minimum time taken for scheduling logs among all trainees.

[0038] Furthermore, in step S3, a Single Fault Handling Evaluation Index (SFEI) is established to evaluate the entire process of a dispatcher handling a fault from the sensing node to the archiving node. Specifically:

[0039]

[0040] In the formula, SFEI i A single fault handling evaluation index for the i-th fault handled during dispatcher simulation training.

[0041] Furthermore, in step S4, a comprehensive evaluation index (DCEI) for distribution network fault handling simulation training is established to comprehensively evaluate all fault handling situations in the dispatcher simulation training. Specifically:

[0042]

[0043] The Distributed Network Fault Handling Simulation Training Comprehensive Evaluation Index (DCEI) ranges from 0 to 1. The closer to 1, the higher the dispatcher's fault handling level; the closer to 0, the lower the dispatcher's fault handling level.

[0044] Furthermore, a distribution network fault handling simulation training and evaluation system based on a seven-layer trajectory node tracking array, based on a computer system, is used to execute the distribution network fault handling simulation training and evaluation method based on a seven-layer trajectory node tracking array as described above, including:

[0045] The dispatcher fault handling description module describes the simulation training operation results information of the seven links in the dispatcher fault handling process, including: perception node, analysis node, handling node, ticketing node, emergency repair node, power supply node, and archiving node, based on a seven-layer trajectory node tracking array model.

[0046] The quantitative evaluation module is used to quantitatively evaluate the dispatcher's fault handling process based on evaluation indicators for sensing nodes, analysis nodes, handling nodes, ticketing nodes, emergency repair nodes, power restoration nodes, and archiving nodes.

[0047] The Single Fault Handling Evaluation Module, based on the evaluation results of the Quantitative Evaluation Module, is used to evaluate the entire process of a dispatcher handling a fault from the sensing node to the archiving node by establishing a single fault handling evaluation index.

[0048] The comprehensive evaluation module, based on the evaluation results of the single fault handling evaluation module, is used to comprehensively evaluate all fault handling situations in the dispatcher simulation training by establishing a comprehensive evaluation index for distribution network fault handling simulation training.

[0049] Compared to existing technologies, this invention and its preferred solution first describe the simulation training results of seven stages in the dispatcher's fault handling process—sensing nodes, analysis nodes, handling nodes, ticketing nodes, emergency repair nodes, power restoration nodes, and archiving nodes—by establishing a seven-layer trajectory node tracking array model. Then, it quantitatively evaluates the dispatcher's fault handling process by establishing evaluation indicators for sensing nodes, analysis nodes, handling nodes, ticketing nodes, emergency repair nodes, power restoration nodes, and archiving nodes. Next, it evaluates the entire process of a dispatcher handling a fault from the sensing node to the archiving node by establishing a single fault handling evaluation indicator. Finally, it comprehensively evaluates all fault handling situations in the dispatcher's simulation training by establishing a comprehensive evaluation indicator for distribution network fault handling simulation training. This solution can comprehensively reflect the dispatcher's fault handling process and level of fault handling, is simple and reliable, meets the needs of field applications, and has good promotional value. Attached Figure Description

[0050] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments:

[0051] Figure 1 Typical power distribution network diagram;

[0052] Figure 2 This is a schematic diagram of the evaluation system architecture designed according to the simulation training and evaluation method for power distribution network fault handling based on a seven-layer trajectory node tracking array in an embodiment of the present invention. Detailed Implementation

[0053] In the following, specific embodiments of this application will be described in detail with reference to the accompanying drawings. Based on these detailed descriptions, those skilled in the art will be able to clearly understand and implement this application. Without departing from the principles of this application, features from various embodiments can be combined to obtain new implementations, or certain features from some embodiments can be substituted to obtain other preferred implementations.

[0054] To make the features and advantages of this patent more apparent and understandable, specific embodiments are provided below, along with accompanying drawings, for detailed explanation:

[0055] This invention first provides a simulation training and evaluation method for power distribution network fault handling based on a seven-layer trajectory node tracking array. The method includes the following steps:

[0056] (1) First, the simulation training operation results information of seven links in the dispatcher's fault handling process, namely, perception node, judgment node, handling node, ticketing node, emergency repair node, power supply node and archiving node, are described by establishing a seven-layer trajectory node tracking array model.

[0057] (2) Then, by establishing evaluation indicators for sensing nodes, evaluation indicators for analysis nodes, evaluation indicators for handling nodes, evaluation indicators for ticketing nodes, evaluation indicators for emergency repair nodes, evaluation indicators for power restoration nodes, and evaluation indicators for archiving nodes, the dispatcher's fault handling process is quantitatively evaluated.

[0058] (3) Secondly, by establishing a single fault handling evaluation index, the dispatcher's handling of a fault is evaluated throughout the entire process from the sensing node to the archiving node.

[0059] (4) Finally, a comprehensive evaluation index for distribution network fault handling simulation training is established to comprehensively evaluate all fault handling situations in the dispatcher simulation training.

[0060] When a distribution network fault occurs, the upstream of the fault point will experience a fault current. The distribution network relay protection will first activate to isolate the fault and send the protection action information to the DMS (Distribution Management System). Then, the upstream distribution terminals will send overcurrent alarms, grounding alarms, and voltage anomalies to the DMS system. The dispatcher monitors the entire distribution network in real time through the DMS system. When a fault alarm is received, the dispatcher first identifies the type of fault by analyzing fault characteristic information: whether it is a short circuit fault, a low-current grounding fault, a line break fault, or a bus undervoltage fault. Then, using fault analysis theory, the dispatcher determines the specific section where the fault occurred. Next, the dispatcher disconnects the upstream and downstream disconnecting equipment through fault isolation and restores power to the healthy area through load transfer. Then, a dispatch order is prepared according to the fault handling procedures to guide remote and on-site operations. Repair personnel then interact with the dispatcher via telephone and network commands according to the dispatch order to complete the fault repair. Finally, the dispatcher prepares a power restoration order based on the on-site repair progress to guide remote and on-site personnel in restoring power to the faulty area. Finally, a dispatch log is compiled to record the entire process of fault handling. Thus, the dispatcher has achieved unified handling of various types of faults from seven aspects: fault detection, fault analysis, fault handling, instruction ticket writing, fault repair, power restoration, and archiving.

[0061] For example, such as Figure 1 The typical power distribution network shown has Bus1 and Bus2 as 10kV busbars of the substation, Feeder1 to Feeder4 as four feeders, S1 to S4 as substation outgoing circuit breakers of the feeders, L1 to L4 as tie switches, B1 to B19 as sectionalizing switches, T1 to T61 as distribution transformers, and Fault1 as the fault point.

[0062] When the DMS system receives a tripping notification from the speed protection of substation outgoing switch S1 and overcurrent alarm signals from sectionalizing switches B1 and B2, the dispatcher can determine that the current fault is a short-circuit fault based on the speed tripping notification. The overcurrent alarm signals from sectionalizing switches B1 and B2 indicate that the short-circuit fault occurred downstream of sectionalizing switch B2, i.e., at point Fault1. Then, sectionalizing switches B2 and B5 are tripped, a dispatch order is generated, and the fault is isolated. The tie switch L1 and outgoing switch S1 are then closed to restore power to the affected area. After the fault repair is completed, the dispatcher generates a power restoration dispatch order, tripping tie switch L4 and closing sectionalizing switches B2 and B5 to restore the pre-fault operating mode. Finally, a relevant fault handling dispatch log is generated.

[0063] This embodiment describes the simulation training results of dispatchers during fault handling in seven stages: sensing node, analysis node, handling node, ticketing node, emergency repair node, power supply node, and archiving node, by establishing a seven-layer trajectory node tracking array STNM model. Specifically, it describes:

[0064]

[0065]

[0066] In the formula, ST i1 ~ST i7 These represent the operation results information of the dispatcher at the sensing node, analysis node, handling node, ticketing node, emergency repair node, power restoration node, and archiving node during the i-th fault handling process; st i1,1 ~st i1,3 These are, respectively, the fault occurrence determination correctness information, the fault type perception correctness information, and the fault perception time information in the sensing node; st i2,1 ~st i2,3 These are the fault location accuracy information, fault location economic information, and fault assessment time information in the assessment node, respectively. The fault location economic information is determined by comparing the actual power outage area with the assessed power outage area, and its value ranges from [0,1]. A value closer to 1 indicates a more accurate fault location by the dispatcher. i3,1 ~st i3,3 These are, respectively, the fault isolation correctness information, the fault transfer correctness information, and the fault handling time information in the handling node; st i4,1 st i4,2 These are the correctness information of the scheduling instruction ticket and the time taken to complete the scheduling instruction ticket in the ticketing node; st i5,1 st i5,2 These are the fault repair correctness information and fault repair time information in the emergency repair node; st i6,1 st i6,2 These are the correctness information for power restoration and the power restoration time information in the power restoration node; st i7,1 st i7,2 These are the correctness information and scheduling log time information in the archived node, respectively. The values ​​of all correctness information are in the range of 0 and 1, where 0 represents an error and 1 represents a correct one; the time information represents the time taken by the scheduler to complete the steps of this node, and if this value does not exist, it is represented by -1; i = 1, 2, ..., n, where n is the total number of faults that need to be handled in the scheduler simulation training.

[0067] The primary purpose of the sensing node is to train dispatchers to quickly identify faults by viewing event and measurement information from the main station system, and to determine the type of fault based on fault characteristic quantities. This step requires dispatchers to operate as quickly as possible, using as little time as possible. A Sensing Node Evaluation Index (PNEI) is established to evaluate the dispatchers' fault perception training and operational level. Specifically:

[0068]

[0069] In the formula, PNEI i The evaluation index of the sensing node for handling the i-th fault in the simulation training of the dispatcher; T i1 This is the minimum time required for fault detection among all trainees.

[0070] The main purpose of fault assessment nodes is to train dispatchers to quickly determine the area where a fault occurs by reviewing relevant alarms, locate the fault, and narrow down the fault location area as much as possible. An evaluation index for fault assessment nodes, JNEI, is established to evaluate the dispatchers' operational level in fault assessment training. Specifically:

[0071]

[0072] In the formula, JNEI i The evaluation index for the assessment node of the i-th fault handled in the simulation training of dispatchers; T i2 This represents the minimum time required for fault diagnosis among all trainees.

[0073] The primary purpose of the fault response node is to train dispatchers to isolate faults and perform load transfer operations based on assessment results. This stage requires dispatchers to isolate faults as quickly and extensively as possible and to transfer loads to downstream areas to restore power supply as soon as possible. A fault response node evaluation index (DNEI) is established to evaluate the dispatchers' fault isolation and load transfer training skills. Specifically:

[0074]

[0075] In the formula, DNEI i The evaluation index for the handling node of the i-th fault in the dispatcher simulation training; T i3 This represents the minimum time required for troubleshooting among all trained personnel.

[0076] The main purpose of the ticket generation node is to train dispatchers to generate dispatch instruction tickets for fault handling plans and guide on-site personnel in emergency repair operations. This stage requires dispatchers to generate dispatch instruction tickets as quickly as possible while meeting on-site error prevention requirements. The Ticket Generation Node Evaluation Index (TNEI) is established to evaluate the dispatcher's dispatch instruction ticket writing skills, specifically:

[0077]

[0078] In the formula, TNEI i The evaluation index for the ticketing node of the i-th fault handled in the simulation training of dispatchers; T i4 This is the minimum time required to complete a dispatch instruction ticket among all trained personnel.

[0079] The main purpose of emergency repair nodes is to train dispatchers to interact with on-site repair personnel, guide them in accurate line inspection and fault location, and repair faults as quickly as possible. An evaluation index, ENEI, is established to assess the level of interaction between dispatchers and on-site personnel, specifically:

[0080]

[0081] In the formula, ENEI i The evaluation index for the repair node of the i-th fault handled in the simulation training of dispatchers; T i5 This represents the minimum time required for emergency repairs among all trained personnel.

[0082] The main purpose of the power restoration node is to train dispatchers to write power restoration command tickets after fault repair and to guide on-site personnel to restore power to the affected area via remote control and networked commands. A Power Restoration Node Evaluation Index (RNEI) is established to evaluate the dispatcher's level of writing power restoration command tickets and restoring power, specifically:

[0083]

[0084] In the formula, RNEI i The evaluation index for the power restoration node of the i-th fault handled in the dispatcher simulation training; T i6 This is the minimum time required to restore power to all trained personnel.

[0085] The primary purpose of the archiving node is to train dispatchers to write dispatch logs after fault handling is completed, recording and describing the entire fault handling process for record-keeping. An evaluation index (ANEI) for the archiving node is established to assess the dispatcher's skill in writing dispatch logs, specifically:

[0086]

[0087] In the formula, ANEI i The evaluation index for the archive node of the i-th fault handled in the dispatcher simulation training; T i7 The minimum time taken for scheduling logs among all trainees.

[0088] A Single Fault Handling Evaluation Index (SFEI) is established to evaluate the entire process of a dispatcher handling a fault, from the sensing node to the archiving node. Specifically:

[0089]

[0090] In the formula, SFEI i A single fault handling evaluation index for the i-th fault handled during dispatcher simulation training.

[0091] A comprehensive evaluation index (DCEI) for distribution network fault handling simulation training is established to comprehensively evaluate all fault handling situations in dispatcher simulation training. Specifically:

[0092]

[0093] The Distribution Network Fault Handling Simulation Training Comprehensive Evaluation Index (DCEI) ranges from 0 to 1. A value closer to 1 indicates a higher level of fault handling skill among dispatchers, while a value closer to 0 indicates a lower level of fault handling skill. The following examples further illustrate the scheme of this embodiment.

[0094] Please provide a detailed explanation:

[0095] like Figure 1 The power distribution network shown in the simulation training has four faults. The dispatcher's handling of each fault is shown in Table 1, and the time parameters are shown in Table 2.

[0096] Table 1 Dispatcher Fault Handling Information Table

[0097]

[0098]

[0099] As shown in the table, the dispatcher failed to accurately detect fault 4, and therefore did not take any further action on it. Fault 2 was correctly detected, but the specific type of fault was incorrectly identified. Although this did not affect the handling of the fault, it did affect the final writing of the dispatch log.

[0100] Table 2 Time Parameter Information Table

[0101] Serial Number <![CDATA[T i1 ]]> <![CDATA[T i2 ]]> <![CDATA[T i3 ]]> <![CDATA[T i4 ]]> <![CDATA[T i5 ]]> <![CDATA[T i6 ]]> <![CDATA[T i7 ]]> 1 55 110 280 560 6.1 330 560 2 35 100 210 380 4.5 320 500 3 20 30 100 70 2.8 200 280 4 34 40 120 80 3.2 230 290

[0102] The evaluation indicators for each node of the dispatcher fault handling simulation training according to formulas (1) to (10) are shown in Table 3.

[0103] Table 3 Evaluation Indicators for Simulation Training

[0104] Serial Number <![CDATA[PNEI i ]]> <![CDATA[JNEI i ]]> <![CDATA[DNEI i ]]> <![CDATA[TNEI i ]]> <![CDATA[ENEI i ]]> <![CDATA[RNEI i ]]> <![CDATA[ANEI i ]]> 1 0.901 0.967 0.921 0.848 0.968 0.786 0.862 2 0.398 0.829 0.955 0.884 0.804 0.889 0 3 0.870 1 0.833 0.875 0.903 0.909 0.933 4 0 0 0 0 0 0 0

[0105] According to formula (11), the evaluation index for single fault handling of each fault is shown in Table 4.

[0106] Table 4 Evaluation Indicators for Single Fault Handling

[0107]

[0108]

[0109] According to formula (12), the comprehensive evaluation index for distribution network fault handling simulation training is: DCEI = 0.619

[0110] The analysis in the table above shows that the dispatcher handled fault 3 the best and fault 4 the worst. The overall evaluation index of the four faults is 0.619, which is above the passing grade.

[0111] Furthermore, such as Figure 2 As shown, this embodiment is based on the above method and implemented on a computer system, which mainly includes:

[0112] The dispatcher fault handling description module describes the simulation training operation results information of the seven links in the dispatcher fault handling process, including: perception node, analysis node, handling node, ticketing node, emergency repair node, power supply node, and archiving node, based on a seven-layer trajectory node tracking array model.

[0113] The quantitative evaluation module is used to quantitatively evaluate the dispatcher's fault handling process based on evaluation indicators for sensing nodes, analysis nodes, handling nodes, ticketing nodes, emergency repair nodes, power restoration nodes, and archiving nodes.

[0114] The Single Fault Handling Evaluation Module, based on the evaluation results of the Quantitative Evaluation Module, is used to evaluate the entire process of a dispatcher handling a fault from the sensing node to the archiving node by establishing a single fault handling evaluation index.

[0115] The comprehensive evaluation module, based on the evaluation results of the single fault handling evaluation module, is used to comprehensively evaluate all fault handling situations in the dispatcher simulation training by establishing a comprehensive evaluation index for distribution network fault handling simulation training.

[0116] The working principle of the above modules is described in the above method design and the algorithm model of the above method design is embedded. It has been fully explained here and will not be repeated here.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0122] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

[0123] This patent is not limited to the above-described preferred embodiment. Anyone can derive other forms of simulation training and evaluation method for power distribution network fault handling based on a seven-layer trajectory node tracking array under the guidance of this patent. All equivalent changes and modifications made within the scope of this patent application shall fall within the scope of this patent.

Claims

1. A simulation training and evaluation method for distribution network fault handling based on a seven-layer trajectory node tracking array, characterized in that: Includes the following steps: Step S1: By establishing a seven-layer trajectory node tracking array model, the simulation training operation results of the dispatcher's fault handling process are described, including the seven links: perception node, analysis node, handling node, ticketing node, emergency repair node, power supply node, and archiving node. Among them, the fault location economic information is determined by comparing the actual power outage area with the analyzed power outage area, and the value range is [0,1]. The closer it is to 1, the more accurate the dispatcher's analysis and location. Step S2: By establishing evaluation indicators for sensing nodes, analysis nodes, handling nodes, ticketing nodes, emergency repair nodes, power restoration nodes, and archiving nodes, the dispatcher's fault handling process is quantitatively evaluated. The Perception Node Evaluation Index (PNEI) evaluates the dispatcher's fault perception training and operational level, specifically as follows: In the formula, PNEI i The evaluation index of the sensing node for handling the i-th fault in the simulation training of the dispatcher; T i1 The minimum time for fault detection among all trainees; st i1,1 ~st i1,3 These are, respectively, the fault occurrence determination correctness information, the fault type perception correctness information, and the fault perception time information in the sensing node; The Disposal Node Evaluation Index (DNEI) evaluates the dispatcher's fault isolation and transfer training skills, specifically as follows: In the formula, DNEI i The evaluation index for the handling node of the i-th fault in the dispatcher simulation training; T i3 This represents the minimum troubleshooting time among all trained personnel; st i3,1 ~st i3,3 These are the fault isolation correctness information, fault transfer correctness information, and fault handling time information at the handling node; Step S3: Evaluate the entire process of a dispatcher handling a fault from the sensing node to the archiving node by establishing a single fault handling evaluation index; Step S4: By establishing a comprehensive evaluation index for distribution network fault handling simulation training, a comprehensive evaluation of all fault handling situations in the dispatcher simulation training is conducted.

2. The simulation training and evaluation method for distribution network fault handling based on a seven-layer trajectory node tracking array as described in claim 1, characterized in that: In step S1, a seven-layer trajectory node tracking array (STNM) model is established to describe the simulation training operation results information of the dispatcher in the fault handling process at seven stages: sensing node, analysis node, handling node, ticketing node, emergency repair node, power supply node, and archiving node. Specifically, it is described as follows: In the formula, ST i1 ~ST i7 These are the operation results information of the dispatcher at the sensing node, analysis node, handling node, ticketing node, emergency repair node, power restoration node, and archiving node during the i-th fault handling process; st i2,1 ~st i2,3 These are, respectively, the fault location accuracy information, fault location economic information, and fault assessment time information in the assessment nodes; st i4,1 st i4,2 These are the correctness information of the scheduling instruction ticket and the time taken to complete the scheduling instruction ticket in the ticketing node; st i5,1 st i5,2 These are the fault repair correctness information and fault repair time information in the emergency repair node; st i6,1 st i6,2 These are the correctness information for power restoration and the time taken for power restoration at the power restoration node; st i7,1 st i7,2 These are the correctness information and time information of the scheduling log in the archive node, respectively; the value range of all correctness information is 0 and 1, where 0 represents error and 1 represents correctness; the time information represents the time taken by the scheduler to complete the steps of this node, and if this value does not exist, it is represented by -1; i = 1, 2, ..., n, where n is the total number of faults that need to be handled in the scheduler simulation training.

3. The simulation training and evaluation method for distribution network fault handling based on a seven-layer trajectory node tracking array as described in claim 2, characterized in that: Step S2 also includes: The JNEI (Joint Node Evaluation Index) is established to evaluate the fault diagnosis and operational skills of dispatchers during training. Specifically: In the formula, JNEI i The evaluation index for the assessment node of the i-th fault handled in the simulation training of dispatchers; T i2 This represents the minimum time required for fault diagnosis among all trainees. The TNEI (Tracking Node Evaluation Index) is established to evaluate the dispatcher's skill level in writing dispatch instruction tickets. Specifically: In the formula, TNEI i The evaluation index for the ticketing node of the i-th fault handled in the simulation training of dispatchers; T i4 The minimum time required to complete a dispatch instruction ticket among all trained personnel; An evaluation index, ENEI, is established to assess the interaction level between dispatchers and on-site personnel during emergency repairs. Specifically: In the formula, ENEI i The evaluation index for the repair node of the i-th fault handled in the simulation training of dispatchers; T i5 This represents the minimum time required for emergency repairs among all trained personnel. The Restored Power Node Evaluation Index (RNEI) is established to evaluate the dispatcher's ability to write restored power order tickets and restore power supply. Specifically: In the formula, RNEI i The evaluation index for the power restoration node of the i-th fault handled in the dispatcher simulation training; T i6 The minimum power restoration time among all trained personnel; An archive node evaluation index (ANEI) is established to evaluate the dispatcher's skill level in writing dispatch logs. Specifically: In the formula, ANEI i The evaluation index for the archive node of the i-th fault handled in the dispatcher simulation training; T i7 The minimum time taken for scheduling logs among all trainees.

4. The simulation training and evaluation method for distribution network fault handling based on a seven-layer trajectory node tracking array as described in claim 3, characterized in that: In step S3, a Single Fault Handling Evaluation Index (SFEI) is established to evaluate the entire process of a dispatcher handling a fault from the sensing node to the archiving node. Specifically: In the formula, SFEI i A single fault handling evaluation index for the i-th fault handled during dispatcher simulation training.

5. The simulation training and evaluation method for distribution network fault handling based on a seven-layer trajectory node tracking array according to claim 4, characterized in that: In step S4, a comprehensive evaluation index (DCEI) for distribution network fault handling simulation training is established to comprehensively evaluate all fault handling situations in the dispatcher simulation training. Specifically: The Distributed Network Fault Handling Simulation Training Comprehensive Evaluation Index (DCEI) ranges from 0 to 1. The closer to 1, the higher the dispatcher's fault handling level; the closer to 0, the lower the dispatcher's fault handling level.

6. A simulation training and evaluation system for distribution network fault handling based on a seven-layer trajectory node tracking array, characterized in that: A computer system is used to execute the simulation training and evaluation method for distribution network fault handling based on a seven-layer trajectory node tracking array as described in any one of claims 1-5, comprising: The dispatcher fault handling description module describes the simulation training operation results information of the seven links in the dispatcher fault handling process, including: perception node, analysis node, handling node, ticketing node, emergency repair node, power supply node, and archiving node, based on a seven-layer trajectory node tracking array model. The quantitative evaluation module is used to quantitatively evaluate the dispatcher's fault handling process based on evaluation indicators for sensing nodes, analysis nodes, handling nodes, ticketing nodes, emergency repair nodes, power restoration nodes, and archiving nodes. The Single Fault Handling Evaluation Module, based on the evaluation results of the Quantitative Evaluation Module, is used to evaluate the entire process of a dispatcher handling a fault from the sensing node to the archiving node by establishing a single fault handling evaluation index. The comprehensive evaluation module, based on the evaluation results of the single fault handling evaluation module, is used to comprehensively evaluate all fault handling situations in the dispatcher simulation training by establishing a comprehensive evaluation index for distribution network fault handling simulation training.

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