Urban rail transit power supply system modeling interval selection method, device and equipment

Abstract

The application provides a modeling interval selection method, device and equipment for a power supply system of urban rail transit, which comprises the following steps: obtaining each traction substation on a target urban rail operation line, and determining a central traction substation from each traction substation; calculating the electrical coupling strength of a power supply interval corresponding to two adjacent traction substations; starting from the central traction substation along the running direction of the target urban rail operation line, screening the power supply interval according to the relationship between the electrical coupling strength of each power supply interval and a preset electrical coupling strength threshold; and using the screened power supply intervals as the modeling intervals of the power supply system of urban rail transit. Through the modeling interval selection method, device and equipment for the power supply system of urban rail transit provided by the application, the screened power supply intervals are used as the modeling intervals of the power supply system of urban rail transit, which can reduce the model complexity and is more helpful to reflect the energy flow characteristics of the system.

Description

Technical Field

[0001] This invention relates to the field of rail transit, specifically to a method, apparatus, and equipment for selecting modeling sections in urban rail transit power supply systems. Background Technology

[0002] During the operation of urban rail transit trains, a significant amount of braking energy is generated but cannot be recovered; instead, it is dissipated as heat in the braking resistors, resulting in energy waste. Therefore, the recovery and utilization of braking energy during train operation is particularly important. To more effectively utilize regenerative energy recovery devices, it is necessary to model and analyze the urban rail transit power supply system to better control the operation of these devices.

[0003] In existing technologies, the modeling intervals are often selected based on experience, such as the number of traction substations or the operating conditions of vehicles within the interval. However, selecting modeling intervals based on experience often involves randomness, leading to problems such as excessive computational load or failure to obtain the energy flow patterns of the system in urban rail transit power supply system models built upon this basis. Summary of the Invention

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the randomness of selecting the modeling interval based on experience in the prior art, which results in the rail transit power supply system model having excessive computational load or failing to obtain the energy flow law of the system. Thus, the present invention provides a method, device and equipment for selecting the modeling interval of the urban rail transit power supply system.

[0005] According to a first aspect, the present invention provides a method for selecting modeling sections in an urban rail transit power supply system, the method comprising:

[0006] Obtain the traction substations on the target urban rail line and determine the central traction substation from among them;

[0007] Calculate the electrical coupling strength between the power supply sections of two adjacent traction substations;

[0008] Starting from the central traction substation and running along the target urban rail line, the power supply sections are selected according to the relationship between the electrical coupling strength of each power supply section and the preset electrical coupling strength threshold.

[0009] The selected power supply sections are used as the modeling sections for the urban rail transit power supply system.

[0010] In one embodiment, the step of filtering power supply sections based on the relationship between the electrical coupling strength of each power supply section and a preset electrical coupling strength threshold includes:

[0011] Obtain the electrical coupling strength of the current power supply section;

[0012] Determine whether the electrical coupling strength of the current power supply interval is greater than a preset electrical coupling strength threshold;

[0013] If the electrical coupling strength of the current power supply section is greater than the preset electrical coupling strength threshold, then the current section is selected as the power supply section, and the next power supply section in the current running direction of the target urban rail line is selected as the current power supply section, and the process of obtaining the electrical coupling strength of the current power supply section is returned.

[0014] In one embodiment, the method further includes:

[0015] If the electrical coupling strength of the current power supply section is less than or equal to the preset electrical coupling strength threshold, then the screening of power supply sections along the current running direction of the target urban rail line will be stopped.

[0016] In one embodiment, determining the central traction substation from the various traction substations includes:

[0017] Obtain the modeling requirements for the urban rail transit power supply system;

[0018] Based on the modeling requirements and analysis objects of the urban rail transit power supply system, the central traction substation is determined.

[0019] In one embodiment, calculating the electrical coupling strength between the corresponding power supply sections of two adjacent traction substations includes:

[0020] Calculate the electrical coupling strength of the power supply sections corresponding to two adjacent traction substations along the up line and down line of the target urban rail respectively;

[0021] The larger of the electrical coupling strengths of the power supply sections corresponding to two adjacent traction substations along the target urban rail line and the down line is determined as the electrical coupling strength of the power supply section.

[0022] In one embodiment, calculating the electrical coupling strength of the power supply sections corresponding to two adjacent traction substations along the target urban rail line (up or down) includes:

[0023] Obtain the electrical coupling strength of each operating point within the power supply section corresponding to the up or down line of two adjacent traction substations;

[0024] The average value of the electrical coupling strength at each operating point within the power supply interval is determined as the electrical coupling strength of the upline or downline of the power supply interval.

[0025] In one embodiment, the method further includes:

[0026] The urban rail transit power supply system is modeled based on the modeling interval of the urban rail transit power supply system.

[0027] According to a second aspect, the present invention provides a modeling section selection device for an urban rail transit power supply system, the device comprising:

[0028] The acquisition module is used to acquire each traction substation on the target urban rail transit line and determine the central traction substation from among them.

[0029] The calculation module is used to calculate the electrical coupling strength of the power supply sections corresponding to two adjacent traction substations;

[0030] The filtering module is used to filter power supply sections along the running direction of the target urban rail line, starting from the central traction substation, according to the relationship between the electrical coupling strength of each power supply section and a preset electrical coupling strength threshold.

[0031] The module is used to model the power supply system of urban rail transit by using the selected power supply sections.

[0032] According to a third aspect, the present invention provides a computer device including a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the modeling interval selection method for urban rail transit power supply system as described in any one of the first aspects and its optional embodiments.

[0033] According to a fourth aspect, the present invention provides a computer-readable storage medium storing computer instructions for causing the computer to perform the modeling interval selection method for an urban rail transit power supply system according to any one of the first aspect and its alternative embodiments.

[0034] The technical solution of this invention has the following advantages:

[0035] This invention provides a method for selecting modeling sections for urban rail transit power supply systems. By determining the central traction substation, and starting from the central traction substation, the method determines the relationship between the electrical coupling strength of each power supply section and a preset electrical coupling strength threshold along the operating direction of the target urban rail line. This increases the efficiency of section selection and reduces workload. Using the selected power supply sections as modeling sections for the urban rail transit power supply system reduces model complexity. Compared to selecting modeling sections based on experience, this method fully considers the impact of the urban rail on substation grid voltage fluctuations in different sections, which is more conducive to reflecting the energy flow characteristics of the system. Thus, while improving the efficiency of urban rail transit power supply system model construction, it ensures that the system model can truly reflect the energy flow law of the system. Attached Figure Description

[0036] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0037] Figure 1 This is a flowchart of a modeling section selection method for an urban rail transit power supply system proposed in an embodiment of the present invention;

[0038] Figure 2 This is a schematic diagram of a power supply section for urban rail transit proposed in an embodiment of the present invention;

[0039] Figure 3 This is a structural block diagram of a modeling section selection device for an urban rail transit power supply system proposed in an embodiment of the present invention;

[0040] Figure 4 This is a schematic diagram of the hardware structure of a computer device proposed in an embodiment of the present invention. Detailed Implementation

[0041] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] With the rapid development of urban rail transit, the recovery and utilization of regenerative braking energy from urban rail transit trains has become particularly important. Currently, the main methods for utilizing regenerative braking energy are energy feed-in and energy storage. To more effectively utilize regenerative energy recovery devices, it is necessary to establish a model for the urban rail transit power supply system and analyze energy flow patterns to better control the operation of the regenerative energy recovery devices.

[0043] Urban rail transit power supply system models are mainly divided into two types: simulation models and mathematical models. Simulation models primarily utilize modules in simulation software such as Simulink to build equivalent circuit models. In this model, the urban rail train is modeled as a controlled power source, and the traction substation is modeled as a voltage source with series resistance. This method relies on the built-in algorithms of the simulation software to solve for power flow, but it cannot intuitively reveal the relationships and changing patterns between various variables in the system. Furthermore, for complex systems such as full-line subway simulations, the simulation speed is very slow, and iterative non-convergence often occurs, hindering the exploration of energy flow patterns within the system. Mathematical models are mainly based on Kirchhoff's laws, writing nodal voltage equations for the equivalent topology of the power supply system, solving for the voltage and current at each node, obtaining the relationship between the system's energy distribution and various variables, and further exploring the impact of each variable on energy flow, which helps in the more efficient operation of regenerative energy recovery devices. However, for more complex systems, the nodal voltage equations are too large and have many variables, causing difficulties in analysis.

[0044] Currently, in studies on the energy flow characteristics of renewable energy recovery and utilization devices, the simplified models of urban rail transit power supply systems use different choices of the number of substation sections, such as two, three, or four sections, including one or two vehicles operating within a section. These model simplifications are mostly based on empirical selections and lack theoretical basis.

[0045] To facilitate the selection of modeling intervals for urban rail transit power supply systems, this embodiment of the invention provides a method for selecting modeling intervals for urban rail transit power supply systems, such as... Figure 1 As shown, the method includes the following steps S101 to S104.

[0046] Step S101: Obtain the traction substations on the target urban rail line and determine the central traction substation from among them.

[0047] In this embodiment of the invention, the traction substation converts the electrical energy transmitted from the power plant via power transmission lines into a voltage suitable for the target urban rail vehicle. Urban rail regenerative energy recovery and utilization devices are typically installed within the traction substation. When studying these devices, the traction substation where the device is located is first selected as the central traction substation. Substations are then numbered sequentially from left to right, from nearest to farthest from the central traction substation, and then studied.

[0048] Step S102: Calculate the electrical coupling strength of the power supply sections corresponding to two adjacent traction substations.

[0049] In this embodiment of the invention, a power supply interval is defined between two adjacent traction substations, and the electrical coupling strength is defined as the magnitude of the voltage fluctuation of the central traction substation caused by the train running in the interval near the central substation during the operation of the target urban rail.

[0050] Currently, the grid voltage of traction substations is affected by the traction and braking of trains in nearby sections; the grid voltage decreases during traction and increases during braking. The control method for urban rail regenerative energy recovery devices is based on traction grid voltage. The grid voltage at the location of the traction substation affects the operating status of the device. Therefore, in the simplified model analysis of the urban rail transit power supply system, it is necessary to ensure the accuracy of the grid voltage at the location of the traction substation. This requires obtaining the electrical coupling strength of the corresponding power supply sections of adjacent traction substations.

[0051] Step S103: Starting from the central traction substation, along the running direction of the target urban rail line, the power supply sections are screened according to the relationship between the electrical coupling strength of each power supply section and the preset electrical coupling strength threshold.

[0052] In this embodiment of the invention, the target urban rail transit line includes an up line and a down line, such as... Figure 2 As shown, the operating direction of the target urban rail line is determined in advance. Along the up line or down line of the target urban rail, the power supply section that meets the preset conditions is selected. The power supply section that meets the preset conditions is that the electrical coupling strength of the power supply section is greater than the preset electrical coupling strength threshold.

[0053] For example, during the operation of the target urban rail transit, the journey from the starting station to the terminal station is considered an upward movement, while the return journey from the terminal station to the starting station is considered a downward movement.

[0054] Step S104: Use the selected power supply sections as the modeling sections of the urban rail transit power supply system.

[0055] In this embodiment of the invention, the greater the electrical coupling strength, the greater the impact of train operation on the grid voltage fluctuation of the central traction substation. That is, the stronger the electrical connection between the train and the central traction substation in the power supply section, the more the power supply section can better reflect the grid voltage fluctuation of the traction substation. Therefore, according to the relationship between the electrical coupling strength of each power supply section and the preset electrical coupling strength threshold, the selected power supply section can better reflect the grid voltage fluctuation of the traction substation.

[0056] It should be noted that, in addition to screening power supply sections by the magnitude of electrical coupling strength, power supply sections can also be screened by the magnitude of power fluctuations and current fluctuations at the central traction substation.

[0057] Through the above embodiments, by determining the central traction substation, starting from the central traction substation, the relationship between the electrical coupling strength of each power supply section and the preset electrical coupling strength threshold is determined along the running direction of the target urban rail transit line. This increases the efficiency of section selection and reduces the workload. Using the selected power supply sections as the modeling sections of the urban rail transit power supply system can reduce the complexity of the model. Compared with selecting modeling sections based on experience, this fully considers the impact of urban rail transit on the voltage fluctuation of the substation grid in different sections, which is more conducive to reflecting the energy flow characteristics of the system. Thus, while improving the efficiency of urban rail transit power supply system model construction, it ensures that the system model can truly reflect the energy flow law of the system.

[0058] Specifically, in one embodiment, the step S101 above, which involves determining the central traction substation from among the traction substations, specifically includes the following steps:

[0059] Step S1011: Obtain the modeling requirements for the urban rail transit power supply system.

[0060] Step S1012: Based on the modeling requirements and analysis objects of the urban rail transit power supply system, determine the central traction substation.

[0061] In this embodiment of the invention, the central traction substation changes according to the changes in the object of analysis. For example, if a regenerative energy recovery and utilization device is installed in substation A, when modeling and analyzing substation A in the urban rail system, substation A is taken as the central substation to facilitate the analysis of the traction substation.

[0062] Specifically, in one embodiment, the calculation of the electrical coupling strength between the power supply sections corresponding to two adjacent traction substations in step S102 includes the following steps:

[0063] Step S1021: Calculate the electrical coupling strength of the power supply sections corresponding to two adjacent traction substations along the target urban rail up line and down line respectively.

[0064] Step S1022: Determine the larger of the electrical coupling strengths of the power supply sections corresponding to two adjacent traction substations along the target urban rail up line and down line as the electrical coupling strength of the power supply section.

[0065] In this embodiment of the invention, the greater the electrical coupling strength, the greater the impact of train operation on the grid voltage fluctuation of the central traction substation. Therefore, the electrical coupling strength with a large electrical coupling strength is determined as the electrical coupling strength of the power supply section, so that when analyzing the power supply section and modeling based on the power supply section, the selected power supply section can better reflect the grid voltage fluctuation of the traction substation.

[0066] Specifically, in one embodiment, the calculation of the electrical coupling strength of the power supply sections corresponding to two adjacent traction substations along the target urban rail up line or down line in step S1021 includes the following steps:

[0067] Step S10211: Obtain the electrical coupling strength of each operating point within the power supply section corresponding to the up or down line of two adjacent traction substations.

[0068] Step S10212: Determine the average value of the electrical coupling strength of each operating point within the power supply section as the electrical coupling strength of the upline or downline of the power supply section.

[0069] In this embodiment of the invention, when a train on the target urban rail line is running between two adjacent traction substations, each power supply section has multiple operating points. The output voltage u of the central substation corresponding to the i-th operating point of the target urban rail is obtained. ss (i) and open-circuit voltage u s0 (i), and output voltage u ss (i) and open-circuit voltage u s0 The absolute value of the difference between (i) and (i) is determined as the electrical coupling strength at that operating point, that is, the electrical coupling strength at the i-th operating point is calculated according to the following formula:

[0070] X t (i)=|u ss (i)-u s0 (i)| (1)

[0071] Where i = 1, 2, 3...n.

[0072] Within the power supply interval, one running point can be taken per second, or the number of running points can be selected according to the length of the power supply interval and the subsequent modeling accuracy requirements, without any limitation.

[0073] The average electrical coupling strength of the up-line train at n operating points within the power supply section is determined as the electrical coupling strength of that section. The up-line urban rail X is calculated according to the following formula. t_up The electrical coupling strength X at n operating points within the interval up :

[0074]

[0075] Calculate the downline train X using the following formula. t_down The electrical coupling strength X at m operating points within the interval down :

[0076]

[0077] Specifically, in one embodiment, step S103 above involves filtering power supply intervals based on the relationship between the electrical coupling strength of each power supply interval and a preset electrical coupling strength threshold. This includes the following steps:

[0078] Step S1031: Obtain the electrical coupling strength of the current power supply section.

[0079] Step S1032: Determine whether the electrical coupling strength of the current power supply section is greater than the preset electrical coupling strength threshold.

[0080] Step S1033: If the electrical coupling strength of the current power supply section is greater than the preset electrical coupling strength threshold, then the current section is selected as the power supply section, and the next power supply section in the current running direction of the target urban rail line is selected as the current power supply section, and the process returns to step S1031.

[0081] In this embodiment of the invention, the preset electrical coupling strength threshold can be 5V or other set thresholds. Based on the preset electrical coupling strength threshold, the power supply range is divided into a strong coupling range and a weak coupling range. Ranges with voltages greater than the preset electrical coupling strength threshold are strong coupling ranges, while ranges with voltages less than or equal to the preset electrical coupling strength threshold are weak coupling ranges.

[0082] The search begins with the nearest section to the left and right of the selected central substation, based on the current operating direction of the target urban rail line. The electrical coupling strength of the current power supply section is calculated, and the relationship between the current power supply section and the preset electrical coupling strength threshold is determined.

[0083] Determine whether the current power supply interval exceeds the preset electrical coupling strength threshold, retain the strongly coupled interval, and delete the weakly coupled interval. When modeling the power supply system of urban rail transit, the weakly coupled interval is omitted.

[0084] Based on a preset electrical coupling strength threshold, each power supply interval is sequentially filtered, strong coupling intervals are merged, and weak coupling intervals are removed until all strong coupling intervals are determined.

[0085] Specifically, in one embodiment, the modeling section selection method for urban rail transit power supply system provided by the present invention further includes the following steps:

[0086] Step S1034: If the electrical coupling strength of the current power supply section is less than or equal to the preset electrical coupling strength threshold, then stop screening the power supply section along the current running direction of the target urban rail line.

[0087] In this embodiment of the invention, if the electrical coupling strength of the current power supply section is less than or equal to a preset electrical coupling strength threshold, since the electrical coupling strength of the next power supply section of the current power supply section will necessarily be less than the electrical coupling strength of the current power supply section along the current running direction of the target urban rail line, the electrical coupling strength of the next power supply section of the current power supply section will also be less than the preset electrical coupling strength threshold. Therefore, the screening of power supply sections along the current running direction of the target urban rail line is stopped, which can reduce the workload of power supply section screening and improve the efficiency of power supply section screening.

[0088] Specifically, in one embodiment, the modeling section selection method for urban rail transit power supply system provided by this embodiment further includes the following steps:

[0089] Step S105: Model the urban rail transit power supply system based on the modeling interval of the urban rail transit power supply system.

[0090] In this embodiment of the invention, the urban rail transit power supply system is modeled based on the selected modeling intervals. This model fully considers the electrical connection between the train and the central substation within the intervals, while also reducing computational load and saving time. This reduces model complexity and computational effort, and facilitates the analysis of relationships between system variables. Modeling the urban rail transit power supply system based on modeling intervals is existing technology and will not be elaborated upon here.

[0091] Based on the same inventive concept, the present invention also provides a modeling section selection device for urban rail transit power supply systems.

[0092] Figure 3 This is a structural block diagram of a modeling section selection device for an urban rail transit power supply system, proposed according to an exemplary embodiment. For example... Figure 3 As shown, the device includes:

[0093] The acquisition module 101 is used to acquire each traction substation on the target urban rail transit line and determine the central traction substation from among them. For details, please refer to the relevant description of step S101 above, which will not be repeated here.

[0094] The calculation module 102 is used to calculate the electrical coupling strength between the corresponding power supply sections of two adjacent traction substations. For details, please refer to the relevant description of step S102 above, which will not be repeated here.

[0095] The screening module 103 is used to screen power supply sections along the operating direction of the target urban rail line, starting from the central traction substation, according to the relationship between the electrical coupling strength of each power supply section and a preset electrical coupling strength threshold. For details, please refer to the relevant description of step S103 above, which will not be repeated here.

[0096] Module 104 is used to utilize the selected power supply sections as modeling sections for the urban rail transit power supply system. For details, please refer to the relevant description of step S104 above, which will not be repeated here.

[0097] The modeling section selection device for urban rail transit power supply system provided in this embodiment of the invention determines the central traction substation and, starting from the central traction substation, judges the relationship between the electrical coupling strength of each power supply section and the preset electrical coupling strength threshold along the running direction of the target urban rail line. This increases the efficiency of section selection and reduces the workload. Using the selected power supply sections as the modeling sections of the urban rail transit power supply system can reduce the complexity of the model. Compared with selecting modeling sections based on experience, it fully considers the impact of urban rail on the voltage fluctuation of the substation grid in different sections, which is more conducive to reflecting the energy flow characteristics of the system. Thus, while improving the efficiency of urban rail transit power supply system model construction, it ensures that the system model can truly reflect the energy flow law of the system.

[0098] The specific limitations and beneficial effects of the aforementioned modeling interval selection device based on urban rail transit power supply systems can be found in the limitations of the modeling interval selection method for urban rail transit power supply systems described above, and will not be repeated here. Each of the above modules can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0099] Figure 4 This is a schematic diagram of the hardware structure of a computer device according to an exemplary embodiment. For example... Figure 4 As shown, the device includes one or more processors 1310 and a memory 1320, the memory 1320 including persistent memory, volatile memory, and a hard disk. Figure 4 Taking a processor 1310 as an example, the device may also include an input device 1330 and an output device 1340.

[0100] The processor 1310, memory 1320, input device 1330, and output device 1340 can be connected via a bus or other means. Figure 4 Taking the example of a connection between China and Israel via a bus.

[0101] Processor 1310 can be a Central Processing Unit (CPU). Processor 1310 can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations thereof. The general-purpose processor can be a microprocessor or any conventional processor.

[0102] The memory 1320, as a non-transitory computer-readable storage medium, includes persistent memory, volatile memory, and a hard disk. It can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the business management method in this embodiment. The processor 1310 executes various functional applications and data processing of the server by running the non-transitory software programs, instructions, and modules stored in the memory 1320, thereby implementing any of the above-mentioned urban rail transit power supply system modeling interval selection methods.

[0103] The memory 1320 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data that is needed and required. Furthermore, the memory 1320 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 1320 may optionally include memory remotely located relative to the processor 1310, and these remote memories may be connected to the data processing device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0104] Input device 1330 can receive input digital or character information, and generate key signal inputs related to user settings and function control. Output device 1340 may include display devices such as a display screen.

[0105] One or more modules are stored in memory 1320, and when executed by one or more processors 1310, they perform actions such as... Figure 1 The method for selecting the modeling interval of the urban rail transit power supply system is shown.

[0106] The above-described product can execute the method provided in the embodiments of the present invention, and has the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in this embodiment can be found in [reference 1]. Figure 1 The relevant descriptions in the illustrated embodiments.

[0107] This invention also provides a non-transitory computer storage medium storing computer-executable instructions that can execute the methods described in any of the above method embodiments. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium may also include combinations of the above types of memory.

[0108] 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 method for selecting modeling sections in an urban rail transit power supply system, characterized in that, The method includes: Obtain the traction substations on the target urban rail line and determine the central traction substation from among them; Calculate the electrical coupling strength between the power supply sections of two adjacent traction substations, and determine the absolute value of the difference between the output voltage and the no-load voltage as the electrical coupling strength. Starting from the central traction substation and running along the target urban rail line, the power supply sections are selected according to the relationship between the electrical coupling strength of each power supply section and the preset electrical coupling strength threshold. The selected power supply sections are used as the modeling sections for the urban rail transit power supply system. The process of filtering power supply sections based on the relationship between the electrical coupling strength of each power supply section and a preset electrical coupling strength threshold includes: Obtain the electrical coupling strength of the current power supply section; Determine whether the electrical coupling strength of the current power supply interval is greater than a preset electrical coupling strength threshold; If the electrical coupling strength of the current power supply section is greater than the preset electrical coupling strength threshold, then the current section is selected as the power supply section, and the next power supply section in the current running direction of the target urban rail line is selected as the current power supply section, and the step of obtaining the electrical coupling strength of the current power supply section is returned. If the electrical coupling strength of the current power supply section is less than or equal to the preset electrical coupling strength threshold, then the screening of power supply sections along the current running direction of the target urban rail line will be stopped.

2. The method according to claim 1, characterized in that, The step of determining the central traction substation from among the various traction substations includes: Obtain the modeling requirements for the urban rail transit power supply system; Based on the modeling requirements and analysis objects of the urban rail transit power supply system, the central traction substation is determined.

3. The method according to claim 1, characterized in that, The calculation of the electrical coupling strength between the corresponding power supply sections of two adjacent traction substations includes: Calculate the electrical coupling strength of the power supply sections corresponding to two adjacent traction substations along the up line and down line of the target urban rail respectively; The larger of the electrical coupling strengths of the power supply sections corresponding to two adjacent traction substations along the target urban rail line and the down line is determined as the electrical coupling strength of the power supply section.

4. The method according to claim 3, characterized in that, Calculate the electrical coupling strength of the power supply sections corresponding to two adjacent traction substations along the target urban rail line (up or down), including: Obtain the electrical coupling strength of each operating point within the power supply section corresponding to the up or down line of two adjacent traction substations; The average value of the electrical coupling strength at each operating point within the power supply interval is determined as the electrical coupling strength of the upline or downline of the power supply interval.

5. The method according to claim 1, characterized in that, The method further includes: The urban rail transit power supply system is modeled based on the modeling interval of the urban rail transit power supply system.

6. A modeling section selection device for an urban rail transit power supply system, characterized in that, The device includes: The acquisition module is used to acquire each traction substation on the target urban rail transit line and determine the central traction substation from among them. The calculation module is used to calculate the electrical coupling strength between the power supply sections of two adjacent traction substations, and the absolute value of the difference between the output voltage and the no-load voltage is determined as the electrical coupling strength. The filtering module is used to filter power supply sections along the running direction of the target urban rail line, starting from the central traction substation, according to the relationship between the electrical coupling strength of each power supply section and a preset electrical coupling strength threshold. The module is used to utilize the selected power supply sections as the modeling sections for the urban rail transit power supply system. The filtering module is specifically used for: obtaining the electrical coupling strength of the current power supply section; determining whether the electrical coupling strength of the current power supply section is greater than a preset electrical coupling strength threshold; if the electrical coupling strength of the current power supply section is greater than the preset electrical coupling strength threshold, then the current section is selected as the power supply section, and the next power supply section in the current running direction of the target urban rail transit line is selected as the current power supply section, and the process returns to the step of obtaining the electrical coupling strength of the current power supply section; if the electrical coupling strength of the current power supply section is less than or equal to the preset electrical coupling strength threshold, then the filtering of power supply sections along the current running direction of the target urban rail transit line is stopped.

7. A computer device, characterized in that, The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the modeling section selection method for the urban rail transit power supply system as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the modeling interval selection method for the urban rail transit power supply system as described in any one of claims 1-5.

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