Real-time calculation method and system for direct-current traction power supply system of urban rail transit

Abstract

The invention relates to the technical field of urban rail transit, and discloses a real-time simulation method for an urban rail transit direct-current traction power supply system, which comprises the following specific steps of: generating operation data of a plurality of trains; establishing an overhead line system, a steel rail and a steel rail to-ground transition resistance model; calculating an operation data set of all trains under the current simulation step length; dividing the traction power supply network into a plurality of partitions; calculating the total load power of the partitions; according to the train position, the resistivity and the rail-to-ground transition resistance, partition variable resistance parameters are calculated; and solving voltage distribution, current distribution and power flow of the direct-current traction power supply system in real time. According to the real-time simulation system for the direct-current traction power supply system of the urban rail transit, dynamic simulation of microsecond-level step length of a real-time simulation machine can be realized, and train operation parameters and a traction network structure can be dynamically changed on each time section; and the voltage, current and power distribution of the traction power supply system under the actual operation condition can be accurately simulated.

Description

Technical Field

[0001] This invention relates to the field of urban rail transit technology, specifically to a real-time calculation method and system for a DC traction power supply system for urban rail transit. Background Technology

[0002] Urban rail transit is an important component of modern urban public transportation, characterized by large capacity, high speed, and high punctuality. Train operation typically relies on a DC traction power supply system, which in turn transmits electrical energy from the traction substation to the train through the overhead contact line and rails.

[0003] In a traction power supply system, the overhead contact line is used to transmit electrical energy to the train, and the rails serve not only as the train's running track but also as the return conductor. Due to the wide distribution of lines and the variable train operating conditions in actual engineering projects, the voltage and current distribution of the traction network will dynamically change with factors such as train position, running speed, and current draw.

[0004] Train operation plans are typically developed in the form of timetables, which include information such as train departure time, arrival time, operating section, and speed. Timetables can be used to generate operational data for multiple trains at different time points, including operating time, location, speed, current draw, and power. This data reflects the train's operational status and serves as crucial input for power supply system analysis and simulation.

[0005] In practical applications, a traction power supply system model needs to be established to analyze the interaction between train operation and the traction power supply system. This model typically includes equivalent representations of components such as the overhead contact line, rails, and rail-to-ground transition resistance, and can be partitioned according to the train's operating status to simulate the load conditions and electrical characteristics of each section.

[0006] With the development of real-time simulation technology, using high-performance simulators to calculate the operating status of traction power supply systems at discrete time steps has become an important research and engineering method. By updating train operating parameters and the traction network model at each simulation step, dynamic calculations of system voltage distribution, current distribution, and power flow can be achieved, providing support for operation scheduling, power supply optimization, and equipment design.

[0007] In the existing technology, the calculation of DC traction power supply system for urban rail transit is difficult to cope with the frequent load changes and operational disturbances in the real system, and the calculation results have large errors. Therefore, there is still a lot of room for improvement in the modeling method of urban rail power supply system at this stage. Summary of the Invention

[0008] To address the shortcomings of existing technologies, the present invention aims to provide a real-time calculation method and system for DC traction power supply systems in urban rail transit. By using interpolation calculations to achieve real-time dynamic updates with microsecond-level step sizes, and by combining traction network zoning and variable resistance modeling, the method can synchronously change train operating parameters and traction network structure during the calculation process, thereby accurately simulating the voltage, current, and power distribution of the traction power supply system under actual operating conditions.

[0009] To achieve the above objectives, the present invention adopts the following technical solution:

[0010] A real-time calculation method for a DC traction power supply system for urban rail transit, comprising the following steps:

[0011] Based on the operation diagram, the operation data of multiple trains are generated in the host computer;

[0012] Based on the operating data of multiple trains, the traction network establishes a model of the contact network, rails, and rail-to-ground transition resistance according to variable resistance.

[0013] Using the linear interpolation method between adjacent time points in the timetable, the set of running data for all trains at the current simulation step size is calculated;

[0014] The traction power supply network is divided into multiple zones based on the number of trains boarding and alighting simultaneously.

[0015] The train sets for each zone are dynamically updated based on train locations, and the total load power of each zone is calculated.

[0016] Calculate the variable resistance parameters of each zone based on the train's location, resistivity, and rail-to-ground transition resistance;

[0017] The parameters of the variable resistor in the partition are passed to the traction power supply system simulation module to solve the voltage distribution, current distribution and power flow of the DC traction power supply system in real time.

[0018] Furthermore, the calculation method also includes calculating at discrete simulation time t k With the next moment t k+1 The partitioned train index set is updated based on the train's location.

[0019] Furthermore, the specific steps for calculating the set of operating data for all trains at the current simulation step size using the linear interpolation method between adjacent time points in the timetable are as follows:

[0020] The set of multiple train operation data is represented as:

[0021] Y = {(t k ,L i (t k ),v i (t k ),Ii (t k ),P i (t k ))|i=1,2,...,N,k=1,2,...,M}(1)

[0022] Where N is the total number of trains, M is the number of discrete time points in the timetable, and t k For a given time in the running graph, L i (t k Let be the train i at time t. k Position, v i (t k ) represents velocity, I i (t k P is for train flow. i (t k () represents power;

[0023] Using adjacent running time (t) k , t k+1 A linear interpolation method between the two is used to calculate the current simulation step size t. sim :

[0024]

[0025] Obtain the set of operating data Y of all trains under the current simulation step size. sim :

[0026] Y sim ={L i (t sim ),v i (t sim ),I i (t sim ),P i (t sim )|i=1,2,...,N}(6).

[0027] Furthermore, the step of dynamically updating the train set of each section based on the train's location and calculating the total load power of the section specifically involves:

[0028]

[0029] Furthermore, the calculation of the zoned variable resistance parameters based on train location, resistivity, and rail-to-ground transition resistance specifically involves:

[0030]

[0031] Furthermore, the operating data of the multiple trains includes train operating time, train location, train speed, current draw, and power.

[0032] Furthermore, the transition resistance model is equivalent to the equivalent circuit diagram of the variable resistance model, and the contact wire resistance R in the equivalent circuit diagram of the variable resistance model is... c = 0.0173Ω / km; Rail resistance R r =0.02Ω / km; the rail-to-ground transition resistance Rg is 15Ωm.

[0033] A real-time computing system for a DC traction power supply system for urban rail transit includes a host computer and a simulation module.

[0034] The host computer includes a train schedule manager, an LCD screen, and a controller; the train schedule manager is used to run the train schedules of multiple trains and extract the train operation data of multiple trains based on the train schedules; the LCD screen is used to display the train operation data in real time; and the controller is used to control the train operation data transmitted to the simulation module.

[0035] Furthermore, the host computer adopts a dual-socket Intel Xeon Platinum 8352V main control platform with a total of 144 threads, 128GB ECC-RAM, and Windows 10.

[0036] Furthermore, the simulation module is a Speedgoat real-time emulator, featuring an Intel Core i7 4.2G quad-core processor, a programmable FPGA IO board, a Xilinx Kintex 7, 4096MB RAM, 120GB flash memory, and two gigabit Ethernet ports.

[0037] The beneficial effects of this invention are as follows: Based on multi-train operation data generated from the operation diagram, this invention achieves real-time dynamic updates with microsecond-level step sizes through interpolation calculations. Combined with traction network partitioning and variable resistance modeling, it can synchronously change train operation parameters and traction network structure during simulation, thereby accurately simulating the voltage, current, and power distribution of the traction power supply system under actual operating conditions. It can achieve dynamic simulation with microsecond-level step sizes in real-time simulators, dynamically changing train operation parameters and traction network structure at each time segment. When using the simulation method provided by this invention, when the operation diagram changes, it only requires calling the updated train operation data set Y. * In the next simulation step, the old data is directly replaced without recalculating the traction network topology parameters, thus enabling real-time calculation of the impact of changes in the operating diagram on power supply. Attached Figure Description

[0038] Appendix Figure 1 This is a flowchart of a real-time calculation method for a DC traction power supply system for urban rail transit according to the present invention;

[0039] Appendix Figure 2This is a block diagram of a real-time calculation system for a DC traction power supply system for urban rail transit according to the present invention.

[0040] Appendix Figure 3 This is a schematic diagram of train operation data interpolation.

[0041] Appendix Figure 4 This is a schematic diagram of the traction network zoning.

[0042] Appendix Figure 5 The equivalent circuit diagram for the variable resistor model;

[0043] Appendix Figure 6 Schematic diagram of the traction substation's grid voltage and power;

[0044] Attached reference numerals: 1. Host computer; 2. Run graph manager; 3. LCD screen; 4. Controller; 5. Simulation module. Detailed Implementation

[0045] The present invention will now be further described with reference to the accompanying drawings and specific embodiments:

[0046] Example 1

[0047] like Figure 1 The diagram shows a flowchart of a real-time calculation method for a DC traction power supply system for urban rail transit according to the present invention. The data parameters used in this embodiment of the real-time calculation method for a DC traction power supply system for urban rail transit are: total number of trains N = 12, 6 each for uphill and downhill traffic; number of traction network zones k = 4; contact network resistance R... c = 0.0173Ω / km; Rail resistance R r =0.02Ω / km; the rail-to-ground transition resistance Rg is 15Ωm.

[0048] In this embodiment, a specific real-time calculation method for a DC traction power supply system for urban rail transit is as follows:

[0049] Step 1: Generate the operating data of the 12 trains in the host computer based on the train schedules; and based on the operating data of multiple trains, establish a contact network, rail, and rail-to-ground transition resistance model according to variable resistance. The transition resistance model is equivalent to the equivalent circuit diagram of the variable resistance model, such as... Figure 5 The diagram shown is the equivalent circuit diagram of the variable resistor model.

[0050] Step 2: Read t from the host computer's cache k t k+1 Using data from two time points, perform linear interpolation to obtain the current position L. i (t sim ), velocity v i (t sim ), current I i (tsim ), power P i (t sim The value of );

[0051]

[0052] like Figure 3 The image shown is a schematic diagram of train operation data interpolation.

[0053] Step 3: Based on position L i (t sim Update the partitioned train index set Y sim ;

[0054] Y sim ={L i (t sim ),v i (t sim ),I i (t sim ),P i (t sim )|i=1,2,...,N}(6)

[0055] like Figure 4 The diagram shown is a schematic diagram of the traction network zoning.

[0056] Step 4: Calculate the zoned load power P load,k (t sim ), and variable resistors

[0057]

[0058] Step 5: Convert the load power P load,k (t sim and variable resistors The data is sent to the Speedgoat real-time simulator for real-time solving, and the obtained voltage distribution, current distribution, and power flow are fed back to the host computer. Figure 6 The diagram shows the voltage and power of the traction network.

[0059] Example 2

[0060] like Figure 2 The diagram shows a block diagram of a real-time calculation system for a DC traction power supply system for urban rail transit according to the present invention. It includes a host computer 1 and a simulation module 5. The host computer 1 includes a running chart manager 2, an LCD screen 3, and a controller 4. The running chart manager 2 is used to run the running charts of multiple trains and extract the running data of multiple trains based on the running charts. The LCD screen 3 is used to display the running data of the trains in real time. The controller 4 is used to control the train running data transmitted to the simulation module.

[0061] The host computer 1 uses a dual-socket Intel Xeon Platinum 8352V controller platform with a total of 144 threads, 128GB ECC-RAM, and Windows 10.

[0062] Simulation module 5 is a Speedgoat real-time emulator, featuring an Intel Core i7 4.2G quad-core processor, a programmable FPGA I / O board, a Xilinx Kintex 7, 4096MB RAM, 120GB flash memory, and two gigabit Ethernet ports.

[0063] For those skilled in the art, various other corresponding changes and modifications can be made based on the technical solutions and concepts described above, and all such changes and modifications should fall within the protection scope of the claims of this invention.

Claims

1. A real-time simulation method for a DC traction power supply system for urban rail transit, characterized in that, The specific steps are as follows: Based on the operation diagram, the operation data of multiple trains are generated in the host computer; Based on the operating data of multiple trains, the traction network establishes a model of the contact network, rails, and rail-to-ground transition resistance according to variable resistance. Using the linear interpolation method between adjacent time points in the timetable, the set of running data for all trains at the current simulation step size is calculated; The traction power supply network is divided into multiple zones based on the number of trains boarding and alighting simultaneously. The train sets for each zone are dynamically updated based on train locations, and the total load power of each zone is calculated. Calculate the variable resistance parameters of each zone based on the train's location, resistivity, and rail-to-ground transition resistance; The parameters of the variable resistor in the partition are passed to the traction power supply system simulation module to solve the voltage distribution, current distribution and power flow of the DC traction power supply system in real time.

2. The real-time simulation method for a DC traction power supply system for urban rail transit as described in claim 1, characterized in that, The simulation method also includes, at discrete simulation time t k With the next moment t k+1 The partitioned train index set is updated based on the train's location.

3. The real-time simulation method for a DC traction power supply system for urban rail transit as described in claim 1, characterized in that, The method of using linear interpolation between adjacent time points in the timetable to calculate the set of operating data for all trains at the current simulation step size involves the following steps: The set of multiple train operation data is represented as: Y={(t k ,L i (t k ),v i (t k ),I i (t k ),P i (t k ))|i=1,2,...,N,k=1,2,...,M}(1) Where N is the total number of trains, M is the number of discrete time points in the timetable, and t k For a given time in the running graph, L i (t k Let be the train i at time t. k Position, v i (t k ) represents velocity, I i (t k P is for train flow. i (t k () represents power; Using adjacent running time (t) k , t k+1 A linear interpolation method between the two is used to calculate the current simulation step size t. sim : Obtain the set of operating data Y of all trains under the current simulation step size. sim : Y sim ={L i (t sim ),v i (t sim ),I i (t sim ),P i (t sim )|i=1,2,...,N}(6)。 4. The real-time simulation method for a DC traction power supply system for urban rail transit as described in claim 1, characterized in that, The process of dynamically updating the train set for each zone based on train location and calculating the total load power of each zone is as follows:

5. The real-time simulation method for a DC traction power supply system for urban rail transit as described in claim 1, characterized in that, The calculation of the zoned variable resistance parameters based on train location, resistivity, and rail-to-ground transition resistance is as follows:

6. The real-time simulation method for a DC traction power supply system for urban rail transit as described in claim 1, characterized in that, The operational data of the multiple trains includes train travel time, train location, train speed, current draw, and power.

7. The real-time simulation method for a DC traction power supply system for urban rail transit as described in claim 1, characterized in that, The transition resistance model is equivalent to the variable resistance model, and the contact wire resistance R in the variable resistance model is... c = 0.0173Ω / km; Rail resistance R r =0.02Ω / km; the rail-to-ground transition resistance Rg is 15Ωm.

8. A real-time simulation system for a DC traction power supply system for urban rail transit, characterized in that, It includes a host computer and a simulation module. The host computer includes a train schedule manager, an LCD screen, and a controller. The train schedule manager is used to run the train schedules of multiple trains and extract the running data of multiple trains based on the train schedules. The LCD screen is used to display the running data of the trains in real time. The controller is used to manipulate the train operation data transmitted to the simulation module.

9. A real-time simulation system for a DC traction power supply system for urban rail transit as described in claim 8, characterized in that, The host computer uses a dual-socket Intel Xeon Platinum 8352V main control platform with a total of 144 threads, 128GB ECC-RAM, and Windows 10.

10. A real-time simulation system for a DC traction power supply system for urban rail transit as described in claim 8, characterized in that, The simulation module is a Speedgoat real-time emulator, featuring an Intel Core i7 4.2G quad-core processor, a programmable FPGA I / O board, a Xilinx Kintex 7 processor, 4096MB of RAM, 120GB of flash memory, and two gigabit Ethernet ports.

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