A simulation training system for transformer area line loss governance

Abstract

This invention discloses a transformer substation line loss management simulation training system, including a simulation training platform, a simulation acquisition 2.0 system, a simulation marketing field operation app, and a transformer substation line loss simulation training device. The simulation training platform is responsible for managing simulation scenarios, issuing simulation instructions for test questions, and data simulation. The simulation acquisition 2.0 system is used for trainees to learn data analysis and problem troubleshooting. The simulation marketing field operation app is used for trainees to learn order processing operations. The transformer substation line loss simulation training device includes a main control unit, simulation modules, a signal source, and simulation equipment. The main control unit is used to communicate with the main station system, receive instructions from the main station system, and forward the instructions to the corresponding simulation modules. The simulation modules control the signal source and simulation equipment according to the instructions to realize fault simulation. The signal source is used to power the devices in the module, and by controlling the voltage, current, and phase angle output of the signal source, power supply-related fault simulation is realized.

Description

Technical Field

[0001] This invention belongs to the field of simulation training technology, specifically a simulation training system for transformer substation line loss management. Background Technology

[0002] In the structure of power facilities and other systems, the concept of a distribution area refers to the power supply range or region of (one) transformer. Distribution area line loss is an important indicator in the power system, reflecting the losses during the transmission and distribution of electrical energy within the distribution area. Distribution area line loss includes two parts: technical line loss and management line loss.

[0003] Technical line loss, also known as theoretical line loss, refers to the normal and reasonable energy consumption generated during the transmission and distribution of electrical energy in a power grid. For a distribution substation, technical line loss is the energy loss on the internal distribution network. Technical line loss is related to factors such as the large power supply radius of the substation, the low power factor of the substation, the imbalance of three-phase loads, and the large amount of distributed photovoltaic power generation.

[0004] Management-related line losses typically refer to line losses caused by poor management and errors. These losses are related to factors such as metering equipment errors, untimely meter readings, missed readings, incorrect readings, miscalculations, electricity use without meters, electricity theft, and leakage caused by poor insulation of live equipment. Management-related line losses can be reduced by strengthening management measures.

[0005] Transformer line loss mitigation plays a vital role in modern society. It not only contributes to energy conservation and emission reduction, improves power supply efficiency and quality, safeguards business profits, promotes sustainable development, and ensures energy security, but also helps build and develop an environmentally friendly society. Therefore, we should attach great importance to the significance and necessity of transformer line loss mitigation, strengthen relevant research and application promotion, and inject new impetus and vitality into economic and social development.

[0006] Common power operation training, such as meter installation and connection, and data acquisition and maintenance, mainly involves hands-on practice. However, transformer substation line loss management is a comprehensive task, differing from other maintenance work in that it includes a significant amount of system-side analysis and troubleshooting. Traditional transformer substation line loss training systems focus primarily on on-site fault diagnosis and handling, lacking data analysis and system-side data simulation capabilities, resulting in insufficient simulation of technical line losses. Furthermore, there is no good solution for the discrepancy between the number of electricity meters in the training system and the actual number of electricity meters in the transformer substation.

[0007] Current solutions

[0008] Scene simulation

[0009] Currently common transformer substation line loss training systems employ a real-load mode, simulating the entire transformer substation topology from the main meter, overhead lines, underground lines to the user's electricity consumption. Because it uses a real-load mode, the overall heat generation of the device is relatively high, which also limits the transformer substation topology to a fixed value. The simulation of the user side is relatively limited, mainly simulating single-phase and three-phase electricity consumption scenarios, both using a direct-connect metering method. The device structure is a bulky, integrated unit with insufficient scalability.

[0010] Anomaly Simulation

[0011] Anomalies refer to the causes of abnormal line loss in a transformer substation. Traditional transformer substation line loss training systems mainly focus on simulating complex problems, such as: leakage in buried wires, inaccurate meter readings, and electricity theft. This results in weak overall simulation capabilities and an inability to accommodate trainees with different skill levels.

[0012] Investigation Method Simulation

[0013] Traditional transformer substation line loss training systems are designed with a specific training scenario in mind, meaning that problems can only be resolved on-site. This designation leads to insufficient coverage of training scenarios, because in actual work, many problems can be identified at the system level, and then confirmed on-site, which can greatly improve problem-solving efficiency and reduce costs.

[0014] Defect Analysis

[0015] With the advancement of distributed photovoltaic (PV) construction, the electricity consumption scenarios under the transformer substations have become more complex. Common transformer substation line loss simulation training systems cannot simulate distributed PV, have insufficient scenario simulation capabilities, and the simulation of users under the transformer substations is limited by the number of simulation devices on the simulation equipment, and cannot simulate all metered users.

[0016] The construction and development of information systems have completely changed the original working model, eliminating the need for area managers to rush to the site every time a problem arises. Traditional area line loss simulation training systems mainly focus on on-site investigation and analysis, lacking in system-level data simulation and diagnostic analysis. With the launch of the State Grid Electricity Consumption Information Collection System 2.0 and the promotion of the "one area, one indicator" management approach, area line loss management is gradually moving towards a refined management model. The system plays an increasingly important role in the process of area line loss management, occupying a more crucial position. The original training method, primarily based on on-site investigation, is no longer suitable. Summary of the Invention

[0017] To address the shortcomings and defects of the existing technologies, this invention provides a simulation training system for transformer substation line loss management. This system fully simulates the power company's process for managing transformer substation line losses. On the system side, it simulates user electricity consumption data to support system-side data analysis and troubleshooting. On the device side, it simulates various electricity consumption scenarios and fault phenomena to support on-site troubleshooting. Through scenario simulation, data simulation, anomaly simulation, and troubleshooting process simulation, it enhances trainees' ability to analyze transformer substation line loss management from both system-side and on-site troubleshooting perspectives.

[0018] The technical solution of this invention is as follows: A transformer substation line loss management simulation training system, comprising a simulation training platform, a simulation application 2.0 system, a simulation marketing field operation app, and a transformer substation line loss simulation training device.

[0019] The simulation training platform is responsible for managing simulation scenarios, issuing simulation instructions for test questions, and performing data simulation; the Simulation Data Acquisition 2.0 system is used by trainees to conduct data analysis and troubleshooting learning within the Simulation Data Acquisition 2.0 system.

[0020] The simulated marketing field operation APP is used by trainees to learn how to process work orders on the simulated marketing field operation APP;

[0021] The transformer substation line loss simulation training device includes a main control unit, a simulation module, a signal source, and simulation equipment. The main control unit is used to communicate with the master station system, receive instructions from the master station system, and forward the instructions to the corresponding simulation module. The simulation module controls the signal source and simulation equipment according to the instructions to realize fault simulation. The signal source is used to supply power to each device in the module. By controlling the voltage, current, and phase angle output of the signal source, power supply-related fault simulation is realized.

[0022] Preferably, the simulation scenario in the simulation scenario management is a training virtual transformer area generated by the equipment on the device; it includes users under the transformer area, transformer area master meter, user energy meter, and concentrator file. At the same time, in order to support the simulation of different transformer area topologies, the transformer area topology editing function is implemented by configuration. After the simulation scenario is generated, it will be pushed to the simulation application 2.0 system.

[0023] Preferably, the test questions distributed are combinations of simulation content, which are in the form of a set of simulation instructions used to control the simulation device to exhibit different phenomena as required.

[0024] Preferably, the data in the data simulation refers to various electricity consumption data of each electricity meter in the simulation scenario over a period of time, mainly including daily frozen data, 96-point load curve data, and daily electricity consumption data calculated on the daily frozen data, and statistical data of transformer area line loss based on the daily electricity consumption data.

[0025] Preferably, the simulation data mainly comes from data collected from real users in the production system. Information such as equipment number, user number, and username in the real system is anonymized, and a data pool is generated in the simulation training. The data pool needs to encompass all metering scenarios, including the main meter for the transformer area, single-phase user meters, three-phase direct-connect user meters, three-phase inductive user meters, and distributed photovoltaic.

[0026] The preferred data simulation algorithm is as follows:

[0027] Assume that the simulated transformer area A has a master table M0 and n user tables (M1, M2, ..., Mn). n );

[0028] Based on the metering scenario, find the corresponding point in the data pool. As long as the metering scenario matches, you can obtain the frozen data of all electricity meters at zero point on the two days T0 and T1, as well as the load curve data between T0 and T1 (closed before and open after).

[0029] Based on the above data, we can calculate the electricity consumption of all user tables on day T0;

[0030] E1=k1(F1(T1)-F1(T0)) (1)

[0031] In the above formula, F1(T1) is the frozen data of user meter M1 on day T1, F1(T0) is the frozen data of user meter M1 on day T0, k1 is the comprehensive multiplier of electricity meter M1, and E1 is the electricity measured by electricity meter M1 on day T0.

[0032] Similarly, the user's electricity meter values ​​M2......M can be calculated. n The battery charges on day T0 were: E2......E n ;

[0033] So, the power supply E of this distribution area on day T0 is... out for:

[0034]

[0035] According to the formula for calculating the line loss rate of a transformer area:

[0036]

[0037] Where E in E supplies electricity to the transformer area in -E out The line loss is the power consumption, and ΔP% is the target area line loss rate, which is the simulated area line loss rate of ΔP%. When ΔP% is a fixed value, according to equation (3), we can obtain...

[0038] E in =Eout / (1-ΔP%) (4)

[0039] And E in This refers to the positive active power of the main meter in the distribution area.

[0040] E in =k0(F0(T1)-F0(T0)) (5)

[0041] Combining equation (4), we can obtain

[0042] F0(T1)=(E out / (1-ΔP%)) / k0+F0(T0) (6)

[0043] Based on the line loss rate of the target transformer area, the data for the entire transformer area was simulated.

[0044] When simulating a fault or abnormality in a certain electricity meter in a distribution area, such as simulating abnormal factors on the M3 electricity meter, we provide an electricity meter power correction coefficient based on the abnormal factors. This coefficient is generated according to the specific abnormal factors.

[0045] E3*a =k3(F3(T1)-F3(T0)) (7)

[0046] 'a' is the correction coefficient. According to equation (7), the frozen data of M3 on day T1 can be corrected.

[0047] F3(T1)=E3*a / k3 + F3(T0); (8)

[0048] When multiple tables need to be simulated to be abnormal, the data can be modified in sequence according to equations (7) and (8). After all the data in all tables has been modified, the total electricity consumption of the transformer area and the electricity consumption of the user tables are recalculated according to equation (1), and the power supply and the line loss rate of the transformer area are recalculated according to equations (2) and (3). The data simulation of the entire transformer area is then completed.

[0049] Preferably, the Data Acquisition 2.0 system is an important system of the power company, responsible for collecting data from on-site electricity meters. The simulated Data Acquisition 2.0 system is used to simulate the functions related to transformer area line loss management in the Data Acquisition 2.0 system. In actual work, the handling of abnormal transformer area line loss is first carried out in the Data Acquisition 2.0 system. After the simulation scenario and simulation data are pushed to the simulated Data Acquisition 2.0 system, trainees can conduct data analysis and troubleshooting in the simulated Data Acquisition 2.0 system.

[0050] Preferably, the marketing field operation APP is based on an integrated power marketing management system, covering system applications for business expansion, metering, customer service, meter reading and collection, usage inspection, marketing audit, and line loss business, realizing mobile processing of business processes such as business expansion acceptance, metering device inspection and verification, and electricity and fee refunds and supplements; the simulated marketing field operation APP simulates the relevant functions of handling abnormal line loss work orders in the transformer area, and trainees can learn work order processing operations on the simulated marketing field operation APP.

[0051] Preferably, the main station system can also read the fault status of each simulation module in the device through the main control unit. One simulation module is responsible for simulating a certain type of electricity metering scenario. The internal program of the simulation equipment has added fault simulation-related functions, which can simulate equipment faults and communication channel faults.

[0052] Preferably, when the most complex distribution area is taken as the simulation object, the simulation scenario encompasses all metering scenarios under the low-voltage distribution area, including the main meter of the distribution area, direct-connect three-phase user meters, inductor three-phase user meters, distributed photovoltaic, and multiple single-phase user meter boxes. Two additional branch box modules are added to realize the simulation of the distribution area topology. The distribution area topology refers to a power supply relationship among the various metering scenarios within the distribution area. Energy meters within the same distribution system have logical relationships in their power data, representing the sum of the power supplied by the upstream level and the power supplied by the downstream level. Factors causing abnormal line losses in the distribution area can be categorized as follows:

[0053] Factors related to archives, data collection, measurement, electricity theft, and technology.

[0054] This invention fully simulates the process of a power company managing line losses in transformer substations. On the system side, it simulates user electricity consumption data to support system-side data analysis and troubleshooting. On the device side, it simulates various electricity consumption scenarios and fault phenomena to support on-site troubleshooting. Through scenario simulation, data simulation, anomaly simulation, and troubleshooting process simulation, it enhances trainees' ability to analyze and manage line losses in transformer substations from both system-side and on-site perspectives. Attached Figure Description

[0055] Figure 1 This is a diagram of the overall architecture of the present invention;

[0056] Figure 2 This is a logical structure diagram of the present invention;

[0057] Figure 3 This is a schematic diagram of the platform topology in this invention. Detailed Implementation

[0058] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description to provide a thorough understanding of the present invention. However, the present invention can be practiced in many other ways different from those described herein, and those skilled in the art can make similar modifications without departing from the spirit of the invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0059] A simulation training system for transformer substation line loss management enhances trainees' analytical capabilities in both system-level and on-site troubleshooting through scenario simulation, data simulation, anomaly simulation, and troubleshooting process simulation. The implementation method is as follows:

[0060] 1. Overall Architecture

[0061] like Figure 1 As shown, the entire transformer area line loss simulation training system mainly includes a simulation training platform, a simulation acquisition 2.0 system, a simulation marketing field operation app, and a transformer area line loss simulation training device.

[0062] 1) Simulation training platform

[0063] The simulation training platform is mainly responsible for the management of simulation scenarios, the distribution of test questions (simulation instructions), and data simulation.

[0064] Simulation Scene Management

[0065] The simulation scenario is a virtual distribution area generated by the equipment on the device for training purposes. It includes files such as users under the distribution area, the distribution area master meter, user energy meters, concentrators, etc. At the same time, in order to support the simulation of different distribution area topologies, a configuration method is used to realize the distribution area topology editing function. After the simulation scenario is generated, it will be pushed to the Simulation Application 2.0 system.

[0066] Test questions distributed

[0067] The test questions are combinations of simulation content, which are in the form of a set of simulation instructions used to control the simulation device to exhibit different phenomena as required.

[0068] Data simulation

[0069] The data refers to various electricity consumption data of each electricity meter (regional master meter, user meter) in the simulation scenario over a period of time. This mainly includes daily frozen data, 96-point load curve data, and daily electricity consumption data calculated from the daily frozen data. Furthermore, regional line loss data is statistically analyzed based on the daily electricity consumption data.

[0070] To ensure the authenticity of the simulation data, we extracted case data from the production system of Yoncai 2.0, as the data's morphological characteristics are closest to those of real users.

[0071] Once all simulation data and statistical data are generated, they will be pushed to the Simulation Data Acquisition 2.0 system.

[0072] The data simulation algorithm is as follows:

[0073] ① Data simulation content

[0074] The previous meter reading and the current meter reading in the table below represent the data to be simulated. Electricity consumption figures are calculated using simulation data.

[0075]

[0076]

[0077]

[0078]

[0079] ②Source of simulation data

[0080] The simulation data primarily comes from data collected from real users in the production system. Information such as equipment numbers, user numbers, and usernames in the real system is anonymized, and a data pool is generated during simulation training. The data pool must encompass all metering scenarios, including substation master meters, single-phase user meters, three-phase direct-connect user meters, three-phase inductive user meters, and distributed photovoltaic systems.

[0081] ③ Description of data simulation algorithm

[0082] Assume that the simulated transformer area A has a master table M0 and n user tables (M1, M2, ..., Mn). n ).

[0083] Based on the metering scenario, the corresponding point is found in the data pool. As long as the metering scenario matches, the frozen data of all electricity meters at zero point on the two days T0 and T1, as well as the load curve data between T0 and T1 (closed before open), can be obtained.

[0084] Based on the data above, we can calculate the electricity consumption of all user tables on day T0.

[0085] E1=k1(F1(T1)-F1(T0)) (1)

[0086] In the above formula, F1(T1) is the frozen data of user meter M1 on day T1, F1(T0) is the frozen data of user meter M1 on day T0, k1 is the comprehensive multiplier of electricity meter M1, and E1 is the electricity consumption measured by electricity meter M1 on day T0.

[0087] Similarly, the user's electricity meter values ​​M2......M can be calculated. n The battery charges on day T0 were: E2......E n

[0088] So, the power supply E of this distribution area on day T0 is... out for:

[0089]

[0090] According to the formula for calculating the line loss rate of a transformer area:

[0091]

[0092] Where E in E supplies electricity to the transformer area in -E out The line loss is the power consumption, and ΔP% is the target area line loss rate, which is the simulated area line loss rate of ΔP%. When ΔP% is a fixed value, according to equation (3), we can obtain...

[0093] E in =E out / (1-ΔP%) (4)

[0094] And E in This refers to the positive active power of the main meter in the distribution area.

[0095] E in =k0(F0(T1)-F0(T0)) (5)

[0096] Combining equation (4), we can obtain

[0097] F0(T1)=(E out / (1-ΔP%)) / k0+F0(T0) (6)

[0098] This allows us to simulate the data for the entire distribution area based on the line loss rate of the target distribution area.

[0099] When simulating a fault or abnormality in a certain electricity meter in a distribution area, such as simulating abnormal factors on the M3 electricity meter, we provide an electricity meter power correction coefficient based on the abnormal factors. This coefficient is generated according to the specific abnormal factors.

[0100] E3*a=k3(F3(T1)-F3(T0)) (7)

[0101] 'a' is the correction coefficient. According to equation (7), the frozen data of M3 on day T1 can be corrected.

[0102] F3(T1)=E3*a / k3 + F3(T0); (8)

[0103] When multiple tables need to be simulated to be abnormal, the data can be modified in sequence according to equations (7) and (8). After all the data in all tables has been modified, the total electricity consumption of the transformer area and the electricity consumption of the user tables are recalculated according to equation (1), and the power supply and the line loss rate of the transformer area are recalculated according to equations (2) and (3). In this way, the data simulation of the entire transformer area is completed.

[0104] 2) Simulation using the 2.0 system

[0105] The Data Acquisition and Distribution System 2.0 is a crucial system for power companies, responsible for collecting data from on-site electricity meters. It's a very large system, and we will only simulate the functions related to transformer substation line loss management. In actual work, handling abnormal transformer substation line losses is first carried out in the Data Acquisition and Distribution System 2.0. After the simulation scenario and simulation data are pushed to the simulated Data Acquisition and Distribution System 2.0, trainees can conduct data analysis and troubleshooting within the simulated system.

[0106] 3) Simulated Marketing Field Operation App

[0107] The marketing field operation APP is based on an integrated power marketing management system, covering system applications for business expansion, metering, customer service, meter reading and billing, usage inspection, marketing audit, and line loss management. It enables mobile processing of business expansion application acceptance, metering device inspection and verification, and electricity consumption and fee refunds / refunds. We simulate the relevant functions of handling abnormal line loss work orders in a transformer substation area, allowing trainees to learn work order processing operations on the simulated marketing field operation APP.

[0108] 4) Transformer Area Line Loss Simulation Training Device

[0109] like Figure 2 The diagram shows the logical structure of a transformer substation line loss simulation training device, mainly comprising a main control unit, simulation modules, signal sources, and simulation equipment. The main control unit communicates with the master station system, receives commands from the master station system, and forwards the commands to the corresponding simulation modules. The simulation modules control the signal sources and simulation equipment according to the commands to simulate faults. Simultaneously, the master station system can also read the fault status of each simulation module within the device through the main control unit. Each simulation module is responsible for simulating a specific type of electricity metering scenario. The signal source is responsible for supplying power to each device within the module. By controlling the voltage, current, and phase angle output of the signal source, power supply-related fault simulations can be achieved. The internal program of the simulation equipment includes fault simulation-related functions, capable of simulating equipment faults, communication channel faults, etc.

[0110] Because a virtual load source is used, each module can independently control its output power, forming a virtual transformer topology on the system side. The operational data of each module serves the characteristics of the virtual topology.

[0111] Simulation scenario

[0112] like Figure 3 As shown, the simulation takes the most complex distribution area as the simulation object. The simulation scenario covers all metering scenarios under the low-voltage distribution area, including the distribution area main meter, direct-connect three-phase user meter, mutual inductance three-phase user meter, distributed photovoltaic, and multiple single-phase user meter boxes. In addition, two branch box modules are added to realize the simulation of the distribution area topology.

[0113] A transformer substation topology refers to the power supply relationship among various metering scenarios within a transformer substation. Energy meters within the same transformer substation distribution system have logically related power data, representing the sum of the power supplied by the upstream level and the power supplied by the downstream level.

[0114] Abnormal Factor Simulation

[0115] Factors causing abnormal line losses in transformer substations can be categorized as follows: archival factors, data acquisition factors, metering factors, electricity theft factors, and technical factors. The simulation capabilities for these abnormal factors are as follows:

[0116]

[0117]

[0118]

[0119] It should be noted that the embodiments mentioned above are illustrative and not limiting of the invention, and those skilled in the art will be able to design alternative embodiments without departing from the scope of the claims. Although the invention has been disclosed above, it is not limited thereto. Any person skilled in the art can make various modifications and alterations without departing from the spirit and scope of the invention; therefore, the scope of protection of the invention should be determined by the scope defined in the claims.

Claims

1. A simulation training system for transformer substation line loss management, characterized in that, This includes a simulation training platform, a simulation procurement 2.0 system, a simulation marketing field operation app, and a transformer area line loss simulation training device. The simulation training platform is responsible for managing simulation scenarios, issuing simulation instructions for test questions, and performing data simulation. The simulation system 2.0 is used by trainees for data analysis and problem-solving training. The simulated marketing field operation APP is used by trainees to learn how to process work orders; The transformer area line loss simulation training device includes a main control unit, simulation modules, signal sources and simulation equipment. The main control unit communicates with the main station system, receives instructions from the main station system, and forwards the instructions to the corresponding simulation modules. The simulation module controls the signal source and simulation equipment according to instructions to realize fault simulation; the signal source is used to power the devices in the module, and the power supply-related fault simulation is realized by controlling the voltage, current and phase angle output of the signal source. The simulation scenario is a virtual transformer area for training generated by the equipment on the transformer area line loss simulation training device. After the simulation scenario is generated, it is pushed to the simulation application acquisition 2.0 system. The data simulation algorithm is as follows: Assume that the simulated transformer area A has a master table M0 and n user tables M1, M2, ..., Mn. n ; Based on the metering scenario, find the corresponding point from the data pool. As long as the metering scenario matches, you can obtain the frozen data of all electricity meters at midnight on the two days T0 and T1, as well as the load curve data between T0 and T1. Calculate the electricity consumption of all user meters on day T0; E1=k1(F1(T1)-F1(T0)) (1) In the above formula, F1(T1) is the frozen data of user meter M1 on day T1, F1(T0) is the frozen data of user meter M1 on day T0, k1 is the comprehensive multiplier of electricity meter M1, and E1 is the electricity measured by electricity meter M1 on day T0. Calculate the user's electricity meter M2......M n The battery charges on day T0 were: E2......E n ; The power supply E of the transformer area on day T0 out for: ； According to the formula for calculating the line loss rate of a transformer area: ； Where E in E supplies electricity to the transformer area in -E out The line loss is the power consumption, and ΔP% is the target area line loss rate, i.e., the simulated area line loss rate is ΔP%. When ΔP% is a fixed value, it can be obtained according to equation (3). E in =E out / (1-ΔP%) (4) And E in It is the positive active power of the main meter of the distribution area. E in =k0(F0(T1)-F0(T0)) (5) Combining equation (4), we can obtain F0(T1)=(E out / (1-ΔP%)) / k0+F0(T0) (6) Based on the line loss rate of the target transformer area, the data for the entire transformer area was simulated; When simulating a fault or abnormality in a certain electricity meter in the transformer area, the abnormal factors are simulated on the M3 electricity meter. At this time, the electricity meter power correction coefficient is given according to the abnormal factors. This coefficient is generated based on the specific abnormal factors. E3*a=k3(F3(T1)-F3(T0)) (7) a is the correction coefficient; according to equation (7), the frozen data of M3 on day T1 can be corrected. F3(T1)=E3*a / k3+F3(T0); (8) When multiple tables need to be simulated to be abnormal, the data can be modified in sequence according to formulas (7) and (8); after all the data of all tables have been modified, the total electricity consumption of the transformer area and the electricity consumption of the user meter are recalculated according to formula (1), and the power supply and transformer area line loss rate are recalculated according to formulas (2) and (3). The data simulation of the entire transformer area is completed.

2. The simulation training system for transformer substation line loss management according to claim 1, characterized in that: The virtual transformer substation used for training includes substation users, substation master meter, user energy meters, and concentrator files. In order to support the simulation of different substation topologies, a configuration method is used to realize the substation topology editing function.

3. The simulation training system for transformer substation line loss management according to claim 1, characterized in that: The test questions issued are combinations of simulation content, which are in the form of a set of simulation instructions used to control the simulation device to exhibit different phenomena as required.

4. The simulation training system for transformer substation line loss management according to claim 1, characterized in that: The data in the data simulation refers to various electricity consumption data of each electricity meter in the simulation scenario over a period of time, including daily frozen data, 96-point load curve data, and daily electricity consumption data calculated on the daily frozen data, and statistical data of line loss in the transformer area based on the daily electricity consumption data.

5. The simulation training system for transformer substation line loss management according to claim 4, characterized in that: The simulation data comes from data collected from real users in the production system. The equipment number, user number, and username information in the real system are anonymized and a data pool is generated during simulation training. The data pool needs to encompass all metering scenarios, including the main meter for the transformer area, single-phase user meters, three-phase direct-connect user meters, three-phase inductive user meters, and distributed photovoltaic.

6. The simulation training system for transformer substation line loss management according to claim 1, characterized in that: The Data Acquisition and Distribution System 2.0 is an important system for power companies, responsible for collecting data from on-site electricity meters. The simulated Data Acquisition and Distribution System 2.0 is used to simulate the functions related to transformer area line loss management in the Data Acquisition and Distribution System 2.

0. In actual work, the handling of abnormal transformer area line loss is first carried out in the Data Acquisition and Distribution System 2.

0. After the simulation scenario and simulation data are pushed to the simulated Data Acquisition and Distribution System 2.0, trainees can conduct data analysis and troubleshooting in the simulated Data Acquisition and Distribution System 2.

0.

7. The simulation training system for transformer substation line loss management according to claim 1, characterized in that: The marketing field operation APP is based on an integrated power marketing management system, covering system applications for business expansion, metering, customer service, meter reading and collection, usage inspection, marketing audit, and line loss business. It realizes the mobile processing of business expansion business acceptance, metering device inspection and verification, and electricity and fee refund and supplement business processes. The simulated marketing field operation APP simulates the relevant functions of handling abnormal line loss work orders in the transformer area. Trainees can learn work order processing operations on the simulated marketing field operation APP.

8. The simulation training system for transformer substation line loss management according to claim 1, characterized in that: The main station system reads the fault status of each simulation module in the device through the main control unit. Each simulation module is responsible for simulating a certain type of electricity metering scenario. The internal program of the simulation equipment has added fault simulation-related functions, which can simulate equipment faults and communication channel faults.

9. The simulation training system for transformer substation line loss management according to claim 1, characterized in that: When the most complex distribution area is taken as the simulation object, the simulation scenario encompasses all metering scenarios under the low-voltage distribution area, including the main meter of the distribution area, direct-connect three-phase user meters, inductor three-phase user meters, distributed photovoltaic, and multiple single-phase user meter boxes. In addition, two branch box modules are added to realize the simulation of the distribution area topology. The distribution area topology refers to a power supply relationship among various metering scenarios within the distribution area. The power data of the energy meters in the same distribution system of the distribution area have a logical relationship, that is, the power supplied by the upper level is the sum of the power supplied by the lower level. The factors that cause abnormal line loss in the distribution area can be divided into: archival factors, data collection factors, metering factors, electricity theft factors, and technical factors.

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