A traction power supply distributed node intelligent collaborative regulation system and method

Abstract

The application relates to the technical field of traction power supply, in particular to a traction power supply distributed node intelligent collaborative regulation system and method. The traction power supply distributed node intelligent collaborative regulation system adopts a distributed energy node layout of "2 stations 1 substation" or "1 station 2 substations", and comprises back-to-back power fusion devices, energy storage units, photovoltaic power generation devices and intelligent cloud platforms arranged at the nodes. On the method, a double-layer collaborative regulation strategy of "cross-station priority, station-level backup" is adopted: the back-to-back power fusion devices of the substation are preferentially used to realize cross-station energy interflow according to nine combination conditions of the instantaneous power algebra sum of the main transformer windings of two traction substations; when the substation equipment fails, the internal hierarchical regulation of each traction substation is automatically switched to, and local energy balance is realized by using the station equipment. The application can effectively reduce the maximum demand of the main transformer, improve the regenerative braking energy utilization rate, and enhance the system stability and redundancy.

Description

Technical Field

[0001] This application relates to the field of traction power supply technology, and more specifically, to a smart collaborative control system and method for distributed nodes in traction power supply. Background Technology

[0002] With the rapid development of electrified railways, the energy regulation requirements of high-power equipment in traction power supply systems are increasing. Traditional traction power supply systems often employ single-level control or rely solely on local adjustments within the traction substation, resulting in low energy utilization efficiency, significant regenerative braking energy backfeeding issues, and excessively high maximum demand of the main transformer. Especially after the integration of distributed energy sources (such as photovoltaic power generation and energy storage), the difficulty of energy coordination among multiple nodes increases, and existing regulation methods are ill-suited to the intelligent coordination requirements under complex operating conditions.

[0003] Therefore, there is an urgent need for a collaborative mechanism that takes into account both cross-station global control and intra-station local control, prioritizing system optimization through cross-station energy sharing while ensuring local stability in the event of critical equipment failure, so as to improve the economy and reliability of the traction power supply system. Summary of the Invention

[0004] In view of this, in order to solve the above-mentioned problems in the prior art, this application provides a traction power supply distributed node intelligent collaborative control system and method.

[0005] The embodiments of this application are implemented as follows: In a first aspect, this application provides a traction power supply distributed node intelligent collaborative control system, comprising: The distributed energy node has a topology of "2 stations and 1 substation" or "1 station and 2 substations". The "2 stations and 1 substation" layout includes a first traction substation, a second traction substation, and a partition substation located between the two. The control equipment includes at least one back-to-back power fusion device, at least one energy storage unit, and at least one photovoltaic power generation device installed in each traction substation, as well as at least one back-to-back power fusion device installed in the section substation. The intelligent cloud platform communicates with all the aforementioned control devices and is used to coordinate and switch between cross-station level control logic and traction substation level control logic.

[0006] In one possible implementation, the instantaneous power values ​​at both ends of a back-to-back power fusion device within the substation are equal but in opposite directions, used to achieve bidirectional energy transmission between two traction substations.

[0007] In one possible implementation, the smart cloud platform is configured to: monitor the working status of the back-to-back power fusion device within the substation in real time, and automatically switch the system control mode from cross-station level control to traction substation level control when a fault occurs.

[0008] Secondly, this application provides a method for intelligent coordinated control of distributed nodes in traction power supply, comprising: Real-time acquisition of instantaneous power output from windings A and B of the main transformer at the first traction substation. and And the instantaneous power output of the A and B windings of the main transformer at the second traction substation. and ; Calculate the algebraic sum of the first instantaneous power of the first traction substation. And the algebraic sum of the second instantaneous power of the second traction substation ; Determine whether the back-to-back power fusion device of the partition is faulty; If the back-to-back power synergy device of the aforementioned substation is fault-free, then cross-station-level control is executed, based on... and The combined state controls the back-to-back power sharing device of the substation to transmit power, thereby realizing energy mutual assistance between the first traction substation and the second traction substation. If the back-to-back power sharing device in the aforementioned substation malfunctions, then traction substation-level control is implemented to regulate the back-to-back power sharing device, energy storage unit, and photovoltaic power generation device within the first traction substation, enabling... Approaching zero, and controlling the back-to-back power sharing device, energy storage unit, and photovoltaic power generation device in the second traction substation, so that... Approaching zero.

[0009] In one possible implementation, the cross-station level control is based on and Nine combinations of positive, negative, and zero states are formed, and corresponding control strategies are executed accordingly. The control objective of the control strategy is: when... and When it is positive, decrease the value; when and When the value is negative, it should be brought closer to zero.

[0010] In one possible implementation, the nine combinations include: when and At the same time, energy is transferred from the traction substation with a relatively small traction load to the other through the back-to-back power fusion device of the section; when and At that time, energy is obtained from the second traction substation through the back-to-back power fusion device of the section substation, reducing the first instantaneous power algebraic sum of the first traction substation; when and At that time, the regenerative braking energy of the second traction substation is transferred to the first traction substation through the back-to-back power fusion device of the section substation; when and At that time, energy is obtained from the first traction substation through the back-to-back power fusion device of the partition substation, thereby reducing the second instantaneous power algebraic sum of the second traction substation; when and At that time, the back-to-back power fusion device of the partition does not transmit power; when and At that time, the regenerative braking energy of the second traction substation is transferred to the first traction substation for energy storage through the back-to-back power fusion device of the partition substation. when and At that time, the regenerative braking energy of the first traction substation is transferred to the second traction substation through the back-to-back power fusion device of the substation. when and At that time, the regenerative braking energy of the first traction substation is transferred to the energy storage of the second traction substation through the back-to-back power fusion device of the partition substation. when and At the same time, the energy storage units in the two traction substations are coordinated to prioritize the absorption of the regenerative braking energy of their respective stations, and the remaining part is used for cross-station mutual energy storage through the back-to-back power fusion device of the substation.

[0011] In one possible implementation, the control method for the first traction substation in the hierarchical control of the traction substation includes: when At the same time, control the back-to-back power sharing device, energy storage unit, and photovoltaic power generation device in the first traction substation to enable... minimize; when At that time, the back-to-back power fusion device and energy storage unit in the first traction substation are controlled to enable... Approaching zero; The control process must satisfy the constraint that the algebraic sum of the instantaneous power of power supply arm 1, power supply arm 2 and DC node 1 in the first traction substation is zero.

[0012] In one possible implementation, the control method for the second traction substation in the hierarchical control of the traction substation includes: when At the same time, control the back-to-back power sharing device, energy storage unit, and photovoltaic power generation device in the second traction substation to enable... minimize; when At that time, the back-to-back power fusion device and energy storage unit in the second traction substation are controlled to enable... Approaching zero; The control process must satisfy the constraint that the algebraic sum of the instantaneous power of power supply arm 3, power supply arm 4 and DC node 2 in the second traction substation is zero.

[0013] In one possible implementation, when controlling the energy storage unit, its state of charge (SOC) needs to be monitored in real time, and the SOC needs to be maintained within a preset range.

[0014] In one possible implementation, the criterion for determining that the algebraic sum of instantaneous power is zero is a settable power dead zone threshold range. When the absolute value of the algebraic sum of instantaneous power is within this threshold range, it is determined to be zero, and no active control is performed.

[0015] The technical solution provided in this application can achieve at least the following beneficial effects: This application provides a smart collaborative control system and method for distributed nodes in traction power supply. It applies the smart collaborative control concept of "cross-station priority and in-station backup" to the traction power supply system of electrified railways. By constructing a two-layer collaborative control model with global optimization and local autonomy capabilities, it achieves efficient energy management and dynamic balance of the traction power supply system. It solves the problems of low energy utilization efficiency, difficulty in handling regenerative braking energy backfeed, high load pressure on main transformers, and difficulty in distributed node coordination in traditional systems. It changes the previous control approach of "independent control of a single station without coordination" and establishes a unified "source-grid-storage-load" collaborative control standard, realizing the integrated operation of the traction power supply system at the energy level.

[0016] This intelligent collaborative control system and method for distributed traction power supply is designed based on the actual operating conditions and energy flow characteristics of electrified railway traction power supply systems. It can accurately respond to drastic fluctuations in traction load and random changes in regenerative energy, providing an effective means for system energy management under complex operating conditions. This system possesses high flexibility and scalability; its "2 stations, 1 control center" or "1 station, 2 control centers" node layout and modular control equipment configuration can be quickly adjusted and optimized according to line expansion and changes in energy structure. This helps solve the problems of limited control coverage and delayed response in traditional systems, significantly improving the timeliness and accuracy of energy control.

[0017] Based on the existing infrastructure of traction substations and substations, a smart collaborative control system was built by deploying back-to-back power sharing devices, energy storage units, photovoltaic power generation devices and a smart cloud platform. This system abandons the passive management model that relied on manual experience and local adjustments in the past, and greatly improves the system's operating efficiency and energy quality. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the structure of a traction power supply distributed node intelligent collaborative control system, as shown in an exemplary embodiment of this application. Figure 2 This is a flowchart illustrating an exemplary embodiment of the present application of a method for intelligent collaborative control of distributed nodes in traction power supply; Figure 3 This is a flowchart illustrating a specific implementation of an exemplary embodiment of the intelligent collaborative control method for distributed traction power supply nodes. Detailed Implementation

[0020] To make the objectives, implementation methods and advantages of this application clearer, the exemplary implementation methods of this application will be clearly and completely described below with reference to the accompanying drawings of the exemplary embodiments of this application. Obviously, the exemplary embodiments described are only some embodiments of this application, and not all embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0021] It should be noted that the brief descriptions of terms in this application are only for the convenience of understanding the embodiments described below, and are not intended to limit the embodiments of this application. Unless otherwise stated, these terms should be understood in their ordinary and common meaning.

[0022] The terms "first," "second," "third," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar or related objects or entities, and do not necessarily imply a specific order or sequence, unless otherwise specified. It should be understood that such terms are interchangeable where appropriate.

[0023] The terms “comprising” and “having”, and any variations thereof, are intended to cover but not exclude inclusion, for example, a product or device that includes a range of components is not necessarily limited to all of the components that are clearly listed, but may include other components that are not clearly listed or that are inherent to such product or device.

[0024] Before explaining the intelligent collaborative control system for distributed traction power supply nodes provided in the embodiments of this application, the application scenarios and implementation environment of the embodiments of this application will be introduced first.

[0025] With the rapid development of electrified railways, the energy regulation requirements of high-power equipment in traction power supply systems are increasing. Traditional traction power supply systems often employ single-level control or rely solely on local adjustments within the traction substation, resulting in low energy utilization efficiency, significant regenerative braking energy backfeeding issues, and excessively high maximum demand of the main transformer. Especially after the integration of distributed energy sources (such as photovoltaic power generation and energy storage), the difficulty of energy coordination among multiple nodes increases, and existing regulation methods are ill-suited to the intelligent coordination requirements under complex operating conditions.

[0026] Therefore, there is an urgent need for a collaborative mechanism that takes into account both cross-station global control and intra-station local control, prioritizing system optimization through cross-station energy sharing while ensuring local stability in the event of critical equipment failure, so as to improve the economy and reliability of the traction power supply system. Based on this, this application provides a smart collaborative control system and method for distributed nodes in traction power supply. It adopts a distributed energy node layout of "2 substations and 1 station" or "1 substation and 2 stations," and includes back-to-back power sharing devices, energy storage units, photovoltaic power generation devices, and a smart cloud platform installed at each node. Methodologically, it employs a two-layer collaborative control strategy of "cross-substation priority and intra-substation backup": priority is given to cross-substation energy sharing through the back-to-back power sharing devices of the substations, based on nine combinations of the algebraic sum of the instantaneous power of the main transformer windings of the two traction substations; when substation equipment fails, it automatically switches to hierarchical control within each traction substation, utilizing intra-substation equipment to achieve local energy balance. This effectively reduces the maximum demand of the main transformer, improves the utilization rate of regenerative braking energy, and enhances system stability and redundancy.

[0027] Next, the technical solutions of this application and how they solve the aforementioned technical problems will be described in detail through embodiments and in conjunction with the accompanying drawings. The embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. Obviously, the described embodiments are only some, not all, of the embodiments of this application.

[0028] In one exemplary embodiment, a traction power supply distributed node intelligent collaborative control system is provided. In this embodiment, the system may include: The distributed energy node has a topology of "2 stations and 1 substation" or "1 station and 2 substations". The "2 stations and 1 substation" layout includes a first traction substation, a second traction substation, and a partition substation located between the two. The control equipment includes at least one back-to-back power fusion device, at least one energy storage unit, and at least one photovoltaic power generation device installed in each traction substation, as well as at least one back-to-back power fusion device installed in the section substation. The intelligent cloud platform communicates with all the aforementioned control devices and is used to coordinate and switch between cross-station level control logic and traction substation level control logic.

[0029] In one embodiment, such as Figure 1 As shown, the intelligent collaborative control system for distributed traction power supply nodes has two possible implementation methods. In its specific implementation method, the distributed energy node layout includes: 2 stations and 1 substation: consisting of two traction substations and an intermediate section substation; 1 station and 2 substations: consisting of an intermediate traction substation and two substations on the left and right.

[0030] Among them, the distributed energy nodes adopt a "2 stations and 1 institute" layout, as follows: Figure 1 As shown, it includes traction substation 1 (1BDS), traction substation 2 (2BDS), and sectioning substation (FQS); the control equipment at each node includes: Traction Substation 1: Back-to-back Power Fusion Device A (R) 1A ), B (R) 1B ), energy storage unit (1S), photovoltaic power generation device (1G); Traction Substation 2: Back-to-back Power Fusion Device A (R) 2A ), B (R) 2B ), energy storage unit (2S), photovoltaic power generation device (2G); Section: Back-to-back power fusion device 1 (R) F1 ), 2 (R) F2 The instantaneous power values ​​at both ends are equal but in opposite directions, and the rated power is P respectively. F1 P F2 ; The Intelligent Cloud Platform (YPT) is responsible for coordinating the logical switching and parameter optimization between cross-site and intra-site control.

[0031] Corresponding to the aforementioned embodiments of the intelligent collaborative control system for distributed traction power supply nodes, and employing the same technical concept, this application also provides embodiments of the intelligent collaborative control method for distributed traction power supply nodes.

[0032] In one exemplary embodiment, such as Figure 2 As shown, the intelligent collaborative control method for distributed traction power supply nodes may include the following steps: Step 100: Real-time acquisition of the instantaneous power output from the A and B windings of the main transformer at the first traction substation. and And the instantaneous power output of the A and B windings of the main transformer at the second traction substation. and .

[0033] Step 200: Calculate the algebraic sum of the first instantaneous power at the first traction substation. And the algebraic sum of the second instantaneous power of the second traction substation . Step 300: Determine whether the back-to-back power fusion device of the partition is faulty.

[0034] Step 400: If the back-to-back power facilitation device of the partitioned area is fault-free, then perform cross-site level control based on... and The combined state controls the back-to-back power sharing device of the substation to transmit power, thereby realizing energy mutual assistance between the first traction substation and the second traction substation.

[0035] Step 500: If the back-to-back power sharing device of the substation fails, then execute the traction substation-level control to control the back-to-back power sharing device, energy storage unit, and photovoltaic power generation device in the first traction substation, so that... Approaching zero, and controlling the back-to-back power sharing device, energy storage unit, and photovoltaic power generation device in the second traction substation, so that... Approaching zero.

[0036] In one embodiment, such as Figure 3 As shown, the specific implementation method of this intelligent collaborative control method for distributed traction power supply nodes is as follows: S1: System initialization, real-time acquisition of instantaneous power and status of each device; S2: Determine the back-to-back power fusion device R of the partition. F1 R F2 Is it normal (no fault)? S3: If normal, execute cross-site level control, according to... and The combination of factors should be adjusted according to the method in Table 1; S4: In case of a fault, switch to traction substation-level control. Traction substations 1 and 2 will respectively control according to their own... and Status-based on-site control; S5: Real-time monitoring of control effects, dynamic updates of equipment status and power parameters, and cyclic execution of S2 to S4.

[0037] Meanwhile, this method adopts a two-tiered control strategy of "cross-station priority and intra-station backup," and its specific procedures include: (1) Cross-station level control (priority implementation) Back-to-back power facilitation device 1 (R) based on the district office F1 ) and 2 (R F2 Based on the algebraic sum of the instantaneous output power of windings A and B of the main transformer in traction substation 1 The algebraic sum of the instantaneous output power of the A and B windings of the main transformer in traction substation 2 The nine combinations of conditions are controlled (as shown in Table 1). The core is to achieve global energy optimization through energy mutual assistance between the two stations. At the same time, traction substations 1 and 2 also need to achieve energy balance at their respective internal levels.

[0038] Table 1. Nine scenarios and methods of cross-station level regulation.

[0039] (2) Traction substation hierarchical control (standby, activated when the substation equipment fails) Each traction substation independently controls its internal equipment: Traction Substation 1: According to The sign of R controls the value of R. 1A R 1B 1S, 1G, minimize positive values ​​or make negative values ​​approach 0 to satisfy the power conservation of the three energy nodes in the station.

[0040] Power supply arm 1 energy node: Power supply arm 2 energy node:

[0041] DC node 1:

[0042] Traction Substation 2: According to The sign of R controls the value of R. 2A R 2B 2S, 2G, minimize positive values ​​or make negative values ​​approach 0 to satisfy the power conservation of the three energy nodes in the station.

[0043] Power supply arm 3 energy node:

[0044] Power supply arm 4 energy node:

[0045] DC node 2:

[0046] In one possible implementation, the "1 station 2 substations" control method is similar to the "traction substation hierarchical control" in the "2 stations 1 substation" control method. The difference is that the left and right power supply arms of the traction substation adopt back-to-back power sharing devices for the substations, which extends the length of the power supply arms and enhances the energy control capability.

[0047] To verify this application, some embodiments of this application are described in conjunction with the "2 stations and 1 institute" layout: 1. Equipment parameters Traction Substation 1: Main transformer rated capacity 25+20MW, R 1A R 1B Both 1S and 1G have a rated power of 10MW, while 1G has a rated power of 2MW. Traction Substation 2: Main transformer rated capacity 20+16MW, R 2A R 2B Both 2S and 2G have a rated power of 10MW, while 2G has a rated power of 2MW. Zone: R F1 R F2 The rated power is 10MW.

[0048] 2. Cross-site level control example (case 3) when (Positive value) (Negative value): Control targets: Reduce the power consumption of traction substation 1 by 5MW, and make the power consumption of traction substation 2 approach 0 by -3MW; Regulation method: through R F1 and R F2 The 3MW of regenerative energy from traction substation 2 is transferred to traction substation 1. Reduced to 2MW Approaching 0, and , (Not exceeding 10MW rated power), simultaneously, traction substation 1 controls 1G generating 2MW, R 1A Output 2MW, making It dropped to 0.

[0049] 3. Example of in-station control (Traction substation 1 in case of section failure) when (Positive value), R F1 R F2 When a fault occurs: Regulation method: Control 2MW of discharge per second and 2MW of power generation per second, R 1A Output 4MW, making The power is reduced to 0 to satisfy the power conservation of power supply arms 1 and 2 and DC node 1, and the SOC is maintained in the range of 0.2 to 0.9 for 1 second.

[0050] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially as indicated, these steps are not necessarily executed in the indicated order. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps.

[0051] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0052] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A traction power supply distributed node intelligent collaborative control system, characterized in that, include: The distributed energy node has a topology of "2 stations and 1 substation" or "1 station and 2 substations". The "2 stations and 1 substation" layout includes a first traction substation, a second traction substation, and a partition substation located between the two. The control equipment includes at least one back-to-back power fusion device, at least one energy storage unit, and at least one photovoltaic power generation device installed in each traction substation, as well as at least one back-to-back power fusion device installed in the section substation. The intelligent cloud platform communicates with all the aforementioned control devices and is used to coordinate and switch between cross-station level control logic and traction substation level control logic.

2. The intelligent collaborative control system for distributed traction power supply nodes as described in claim 1, characterized in that, The instantaneous power values ​​at both ends of at least one back-to-back power fusion device in the substation are equal and opposite in direction, which is used to realize bidirectional energy transmission between the two traction substations.

3. The intelligent collaborative control system for distributed traction power supply nodes as described in claim 1, characterized in that, The intelligent cloud platform is configured to: monitor the working status of the back-to-back power fusion device in the substation in real time, and automatically switch the system control mode from cross-station level control to traction substation level control when a fault occurs.

4. A method for intelligent collaborative control of distributed nodes in traction power supply, applied to the system as described in any one of claims 1-3, characterized in that, include: Real-time acquisition of instantaneous power output from windings A and B of the main transformer at the first traction substation. and And the instantaneous power output of the A and B windings of the main transformer at the second traction substation. and ; Calculate the algebraic sum of the first instantaneous power of the first traction substation. And the algebraic sum of the second instantaneous power of the second traction substation ; Determine whether the back-to-back power fusion device of the partition is faulty; If the back-to-back power synergy device of the aforementioned substation is fault-free, then cross-station-level control is executed, based on... and The combined state controls the back-to-back power sharing device of the substation to transmit power, thereby realizing energy mutual assistance between the first traction substation and the second traction substation. If the back-to-back power sharing device in the aforementioned substation malfunctions, then traction substation-level control is implemented to regulate the back-to-back power sharing device, energy storage unit, and photovoltaic power generation device within the first traction substation, enabling... Approaching zero, and controlling the back-to-back power sharing device, energy storage unit, and photovoltaic power generation device in the second traction substation, so that... Approaching zero.

5. The intelligent collaborative control system for distributed traction power supply nodes as described in claim 4, characterized in that, In the aforementioned cross-station level control, according to and Nine combinations of positive, negative, and zero states are formed, and corresponding control strategies are executed accordingly. The control objective of the control strategy is: when... and When it is positive, decrease the value; when and When the value is negative, it should be brought closer to zero.

6. The intelligent collaborative control system for distributed traction power supply nodes as described in claim 5, characterized in that, The nine possible combinations include: when and At the same time, energy is transferred from the traction substation with a relatively small traction load to the other through the back-to-back power fusion device of the section; when and At that time, energy is obtained from the second traction substation through the back-to-back power fusion device of the section substation, reducing the first instantaneous power algebraic sum of the first traction substation; when and At that time, the regenerative braking energy of the second traction substation is transferred to the first traction substation through the back-to-back power fusion device of the section substation; when and At that time, energy is obtained from the first traction substation through the back-to-back power fusion device of the partition substation, thereby reducing the second instantaneous power algebraic sum of the second traction substation; when and At that time, the back-to-back power fusion device of the partition does not transmit power; when and At that time, the regenerative braking energy of the second traction substation is transferred to the first traction substation for energy storage through the back-to-back power fusion device of the substation. when and At that time, the regenerative braking energy of the first traction substation is transferred to the second traction substation through the back-to-back power fusion device of the substation. when and At the same time, the regenerative braking energy of the first traction substation is transferred to the energy storage of the second traction substation through the back-to-back power fusion device of the partition substation. when and At the same time, the energy storage units in the two traction substations are coordinated to prioritize the absorption of the regenerative braking energy of their respective stations, and the remaining part is used for cross-station mutual energy storage through the back-to-back power fusion device of the substation.

7. The intelligent collaborative control system for distributed traction power supply nodes as described in claim 4, characterized in that, In the hierarchical control of the traction substation, the control methods for the first traction substation include: when At the same time, control the back-to-back power sharing device, energy storage unit, and photovoltaic power generation device in the first traction substation to enable... minimize; when At that time, the back-to-back power fusion device and energy storage unit in the first traction substation are controlled to enable... Approaching zero; The control process must satisfy the constraint that the algebraic sum of the instantaneous power of power supply arm 1, power supply arm 2 and DC node 1 in the first traction substation is zero.

8. The intelligent collaborative control system for distributed traction power supply nodes as described in claim 4, characterized in that, In the hierarchical control of the traction substation, the control methods for the second traction substation include: when At the same time, control the back-to-back power sharing device, energy storage unit, and photovoltaic power generation device in the second traction substation to enable... minimize; when At that time, the back-to-back power fusion device and energy storage unit in the second traction substation are controlled to enable... Approaching zero; The control process must satisfy the constraint that the algebraic sum of the instantaneous power of power supply arm 3, power supply arm 4 and DC node 2 in the second traction substation is zero.

9. The intelligent collaborative control system for distributed traction power supply nodes as described in claim 7 or 8, characterized in that, When controlling the energy storage unit, its state of charge (SOC) needs to be monitored in real time, and the SOC needs to be maintained within a preset range.

10. The intelligent collaborative control system for distributed traction power supply nodes as described in claim 4, characterized in that, The condition for determining that the algebraic sum of instantaneous power is zero is a settable power dead zone threshold range. When the absolute value of the algebraic sum of instantaneous power is within this threshold range, it is determined to be zero and no active control is performed.

Images