Intelligent vehicle-network interaction control system and method for large-scale electric vehicles

Abstract

The invention discloses an intelligent vehicle-network interaction control system and method for large-scale electric vehicles. The system comprises a power distribution cloud master station, a transformer area intelligent fusion terminal, a vehicle-network interaction protocol conversion device and a charging pile. And the power distribution cloud master station is responsible for hierarchically aggregating the schedulable capacity of'courts-feeders-main transformers-areas' and issuing regulation and control instructions. The transformer area intelligent fusion terminal is provided with a special APP and is responsible for gathering electric vehicle data in a transformer area to form a schedulable capacity, receiving an instruction and generating a transformer area control strategy. The protocol conversion device realizes adaptive access of various charging piles and converts a strategy into a specific control instruction. The charging pile executes charging and discharging power adjustment; according to the invention, by constructing the distributed collaborative architecture and the intelligent algorithm, the problem that the intelligent and collaborative capabilities of the existing V2G system are insufficient is solved, and accurate and efficient regulation and control of large-scale electric vehicle resources are realized.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of intelligent power distribution network regulation and control, and particularly relates to an intelligent vehicle-grid interaction control system and method for large-scale electric vehicles. BACKGROUND

[0002] Under the background of the coordinated promotion of the "double carbon" strategy and digital new infrastructure, China's new energy vehicle industry has formed a "vehicle-pole-grid" integrated development pattern. As of the end of 2023, the number of new energy vehicles in China has exceeded 20 million, among which pure electric vehicles, as mobile distributed energy storage, have increasingly highlighted their strategic value. In the process of building a new power system, the vehicle-grid bi-directional interaction mechanism based on V2G technology can realize the spatio-temporal coupling of electric vehicle cluster energy storage characteristics and power grid volatility by establishing a dynamic demand response model and a distributed collaborative control algorithm, opening up an innovative technology path for demand-side resources to participate in the power grid auxiliary service market.

[0003] Currently, in terms of technical implementation, the existing V2G energy management scheme mainly relies on a "cloud-terminal" centralized control mode. Under this mode, the system issues control instructions through the cloud center, and the terminal device performs simple charging and discharging operations. The existing charging infrastructure generally adopts a preset threshold trigger type one-way control strategy, which starts and stops or adjusts the power of electric vehicle charging according to a single signal (such as electricity price or local load) to achieve basic load transfer or peak shaving.

[0004] However, the most obvious problem of the existing technology lies in the dual defects of its system architecture and core algorithm. On the one hand, the intelligent level of charging infrastructure is seriously insufficient, and the control strategy is simple and rigid, which cannot integrate and analyze multi-dimensional information for real-time optimization decision-making, nor can it flexibly respond to the dynamic demand of the power grid. On the other hand, the centralized "cloud-terminal" control mode exposes inherent drawbacks such as large communication delay, weak edge computing capability, and lack of effective group intelligence collaborative algorithm when facing a large number of dispersed electric vehicle resources, ultimately leading to the inability to mobilize the potential of vehicle-grid interaction resources on a large scale and efficiently, restricting the improvement of overall dispatching efficiency. SUMMARY

[0005] The purpose of the present application is to provide an intelligent vehicle-grid interaction control system for large-scale electric vehicles by constructing a distributed collaborative architecture and introducing intelligent algorithms to solve the problems of insufficient intelligence level and lack of collaboration ability of existing V2G systems, thereby improving the intelligent vehicle-grid interaction control system for large-scale electric vehicles. On the other hand, an intelligent vehicle-grid interaction control method for large-scale electric vehicles is provided.

[0006] Technical solution: The intelligent vehicle-grid interaction control system according to the present application comprises:

[0007] The power distribution cloud master station has a regional aggregation control function, is used for aggregating and scheduling capacity through "district area-feeder-main transformer-region" hierarchical aggregation, and generates control parameters and threshold values based on a "fusion terminal-charging pile-electric vehicle" service link to issue control instructions; the district area intelligent fusion terminal is provided with a vehicle network interaction collection control APP, is used for communicating with the power distribution cloud master station, receiving the control instructions, and generating a district area capacity control strategy according to the control instructions; the district area intelligent fusion terminal collects real-time data of battery active power of all electric vehicles in the district area through intelligent fusion technology, forms a district area schedulable capacity, and uploads the district area operation state, electric vehicle state and schedulable capacity to the power distribution cloud master station; the vehicle network interaction protocol conversion device is connected between the district area intelligent fusion terminal and the charging pile, is used for realizing adaptive access of various electric vehicle charging pile equipment, and converting the control strategy issued by the district area intelligent fusion terminal into corresponding control instructions to issue to the corresponding charging pile; the charging pile is used for charging or discharging the electric vehicle, and adjusting the charging or discharging power according to the received control instructions; wherein the vehicle network interaction collection control APP can monitor the charging state and threshold information of the electric vehicle in real time, collect relevant equipment information, and automatically generate a charging pile control strategy according to the district area voltage, frequency abnormality or the emergency control instruction issued by the power distribution cloud master station, and issue the frequency modulation capacity of each electric vehicle.

[0008] The application realizes intelligent aggregation and accurate regulation and control of the charging and discharging behavior of electric vehicles by constructing a hierarchical collaborative control architecture of "power distribution cloud master station-district area intelligent fusion terminal-vehicle network interaction protocol conversion device-charging pile", effectively solves the problems of low intelligent level and insufficient collaborative control capability of the existing V2G system, and the like; the system can dynamically generate a control strategy based on the real-time state of the power grid, adaptively adjust the charging pile power, significantly enhances the schedulability and response capability of the vehicle network interaction resources, thereby improving the operation stability of the power distribution network, and fully tapping the potential of distributed electric vehicle batteries as flexible regulation resources.

[0009] Preferably, the charging pile includes an online operation charging pile and an offline private pile, wherein the online operation charging pile directly uploads the operation state information to the vehicle network platform, and the offline private pile uploads the operation state information to the district area intelligent fusion terminal through the vehicle network interaction protocol conversion device.

[0010] By distinguishing the charging piles into online operation piles and offline private piles and designing differentiated data uploading paths for them, the application realizes effective integration and state perception of widely distributed private charging pile resources, greatly expands the resource coverage range and control boundary of the vehicle network interaction system, solves the problems of low resource utilization and many control blind areas caused by the "information island" of private piles in the traditional V2G system, and finally constructs an intelligent vehicle network interaction ecology with more comprehensive coverage and more collaborative information.

[0011] Preferably, in an emergency, the intelligent terminal of the transformer area generates a charging pile control strategy according to the voltage and frequency changes of the transformer area or the emergency control instructions issued by the decomposition power distribution cloud master station, and adjusts the charging and discharging of the transformer area and electric vehicles in time according to the sequence.

[0012] By endowing the intelligent terminal of the transformer area with the ability to autonomously generate and execute control strategies in emergency situations, the local rapid response and autonomous collaborative adjustment of transformer area voltage and frequency abnormalities are realized, effectively solving the problem that traditional V2G systems cannot meet the instantaneous regulation and control requirements of the power grid due to their dependence on cloud instructions, thereby significantly improving the self-healing ability and operational resilience of the distribution network in the event of faults or fluctuations, ensuring the safety and stability of the power grid.

[0013] Preferably, the intelligent terminal of the transformer area triggers the generation of charging pile control strategies in the transformer area according to the real-time load conditions and the threshold set by the power distribution cloud master station, and sends the charging load target value and control warning data to the Internet of Vehicles platform through the power distribution cloud master station.

[0014] By establishing a closed-loop control mechanism of "real-time sensing of transformer area - threshold management in the cloud - cross-platform collaboration", the intelligent terminal of the transformer area can autonomously generate control strategies based on local operating conditions and efficiently collaborate with the cloud master station and the Internet of Vehicles platform, thereby achieving advanced and precise control of charging load and risk warning, effectively solving the problems of response lag and information silos in traditional systems, and significantly improving the active control ability and safe operation level of the distribution network for large-scale electric vehicle charging behavior.

[0015] Preferably, the intelligent terminal of the transformer area defines a transformer area load threshold, and formulates different control logics according to the comparison result of the actual output power and the rated capacity of the transformer area, as well as the load condition of the transformer area.

[0016] By presetting the load threshold in the intelligent terminal of the transformer area and establishing a differentiated control logic triggered by multiple conditions, fine-grained perception and intelligent decision-making of the transformer area operating state are realized, so that the control strategy can be adaptively switched according to the actual load level, effectively solving the problem of rigid response and inaccurate response in traditional control methods, and significantly improving the active management ability and safe and economic operation level of the transformer area for charging load.

[0017] Preferably, the different control logics are executed based on the calculated transformer area required power capacity The determination of the transformer area required power capacity includes:

[0018] defining a first load threshold , a second load threshold and a third load threshold wherein respectively represent the first early warning safety value, the second early warning safety value and the full load value of the load of the transformer area;

[0019] The calculation of the power capacity required by the transformer area wherein is the actual output power of the current transformer area power grid, is the rated capacity of the transformer area.

[0020] By endowing the transformer area intelligent fusion terminal with the ability to make autonomous decisions based on multiple operating conditions, intelligent, differentiated and adaptive control of the charging load is achieved, effectively overcoming the defects of response lag and single strategy of traditional methods, thereby significantly enhancing the flexibility, reliability and overall resource optimization efficiency of the distribution transformer area in dealing with complex working conditions.

[0021] Preferably, the different control logic includes:

[0022] When the transformer area intelligent fusion terminal detects an overload alarm signal in the transformer area, if the transformer area has an energy storage system and can be discharged, the power distribution cloud master station will first control the energy storage system to discharge, and compare the power capacity required by the transformer area with the discharge power of the energy storage system .

[0023] If , the power distribution cloud master station controls the energy storage system to discharge at power;

[0024] If , the energy storage system is controlled to discharge at maximum power, and the change in the load of the transformer area is monitored;

[0025] If the transformer area is still in an overload state and the load rate continues to rise for or more, the power distribution cloud master station sends the charging load target value of the transformer area to the Internet of Vehicles platform, which autonomously operates and guides the control of the charging load;

[0026] When the load rate of the transformer area rises to and continues for a preset time, the power distribution cloud master station sends an early warning message to the Internet of Vehicles platform, and the intelligent fusion terminal starts to control the power of the charging pile on site.

[0027] ​By establishing a multi-level progressive regulation logic of "energy storage priority calling-platform collaborative guidance-terminal local control", a collaborative defense system from global optimization to local precise intervention is constructed, so that the ordered, efficient and adaptive calling of resources under the condition of heavy overload of the transformer area is realized, the bottleneck of limited resources and insufficient response of single regulation method is effectively solved, and the resilience, reliability and multi-resource collaborative optimization capability of the distribution network in dealing with extreme load are greatly improved.

[0028] The intelligent vehicle-network interaction control method comprises:

[0029] The vehicle-network interaction protocol conversion device realizes adaptive access of various electric vehicle charging pile equipment.

[0030] The vehicle-network interaction collection and control APP in the transformer area intelligent fusion terminal monitors the charging state and threshold information of the electric vehicle in real time, and collects related equipment information.

[0031] The transformer area intelligent fusion terminal aggregates real-time data of the battery active power of all electric vehicles in the transformer area, forms the transformer area dispatchable capacity, and uploads the transformer area operation state, electric vehicle state and adjustable capacity to the distribution cloud master station.

[0032] The distribution cloud master station aggregates the dispatchable capacity in layers, generates control parameters and thresholds based on the business link, and issues regulation instructions to the transformer area intelligent fusion terminal.

[0033] The transformer area intelligent fusion terminal generates a transformer area capacity control strategy according to the regulation instruction, and issues the control instruction to the corresponding charging pile through the vehicle-network interaction protocol conversion device to adjust the charging or discharging power.

[0034] By constructing a whole-process closed-loop control method of "data collection-edge aggregation-cloud decision-making-strategy execution", multi-level, adaptive and efficient collaboration is realized between the dispersed charging pile equipment and the distribution cloud master station, so that a large number of electric vehicles are flexibly aggregated as high-quality resources that can be precisely dispatched by the power grid, and the intelligent level, global optimization capability and support for stable operation of the distribution network of the vehicle-network interaction system are significantly improved.

[0035] Preferably, the intelligent vehicle-network interaction control method further comprises:

[0036] In the conventional charging mode, the vehicle networking platform and the transformer area intelligent fusion terminal monitor the charging pile operation state in real time; according to the real-time load condition of the transformer area and the threshold set by the distribution cloud master station, the transformer area charging pile regulation strategy is triggered; the distribution cloud master station sends the charging load target value and regulation warning data to the vehicle networking platform; the transformer area intelligent fusion terminal locally regulates the charging and discharging power of the charging pile.

[0037] By establishing a collaborative control mechanism combining "cloud global optimization" and "edge on-site execution", real-time monitoring and hierarchical early warning of charging load are realized in the conventional charging mode. The control strategy can be generated and executed adaptively according to the actual operation state of the transformer area, thereby effectively improving the fine control and active prevention ability of the system under normal operation, and ensuring the safe and stable and economic operation of the distribution network.

[0038] Preferably, the determination of the transformer area dispatchable capacity comprises:

[0039] The user-set vehicle SOC threshold value is taken as the reference, and the vehicle is marked as a one-way charging state when the vehicle SOC state is lower than the threshold value , and the vehicle is marked as a V2G participable state when the vehicle SOC state is higher than the threshold value .

[0040] The transformer area callable power capacity is calculated as:

[0041]

[0042] wherein represents the maximum charging power of the transformer area, represents the sum of the minimum charging power of the one-way charging vehicles in the transformer area, represents the sum of the reverse discharge power of the V2G vehicles.

[0043] The transformer area callable V2G power capacity can be determined as:

[0044]

[0045] wherein represents the current V2G participating vehicle, is the current SOC state of the vehicle, and SOC represents the rated charge capacity of the vehicle.

[0046] By introducing a vehicle state dynamic marking mechanism based on the user SOC threshold value, and combining a real-time power calculation model, fine evaluation and dynamic update of the dispatchable capacity of electric vehicles in the transformer area are realized, so as to accurately distinguish and aggregate the charging demand and V2G potential, effectively solve the problems of inaccurate evaluation of distributed energy storage resources and insufficient potential mining of traditional methods, and significantly improve the accuracy and available range of vehicle-network interaction resource scheduling.

[0047] Beneficial effects: Compared with the prior art, the present application has the following remarkable advantages: 1. By constructing a distributed collaborative architecture of "power distribution cloud master station-district area fusion terminal-protocol conversion device-charging pile", and introducing intelligent algorithms for hierarchical aggregation and strategy generation, the problem of insufficient intelligent level and lack of collaborative ability of existing V2G systems is effectively solved, and precise and efficient regulation and control of large-scale electric vehicle resources is realized; 2. The system has local intelligent decision-making ability, and can automatically generate and issue control strategies when abnormal district voltage and frequency are monitored or emergency instructions are received, so as to quickly adjust the charging and discharging power of electric vehicles, thereby effectively dealing with power grid emergencies and ensuring the stable operation of regional power grids; 3. By real-time aggregation of electric vehicle battery active power and other data, the adjustable capacity of the district and the required power are accurately calculated, and based on multi-level load threshold, differential regulation logic is executed, so as to realize precise perception and flexible control of massive dispersed electric vehicle charging load, and optimize resource utilization; 4. When formulating the regulation and control strategy, the system takes the user-set vehicle SOC threshold as the benchmark, distinguishes between charging and dischargeable vehicles, and guides participation in V2G under the premise of guaranteeing the basic charging demand of users, so as to realize effective balance between power grid regulation and control target and user individual demand. BRIEF DESCRIPTION OF DRAWINGS

[0048] Figure 1 Fig. 1 is a schematic diagram of the system structure of the present application;

[0049] Figure 2 Fig. 2 is a schematic diagram of the scheme flow of the present application. DETAILED DESCRIPTION

[0050] The technical solutions of the present application will be further described below in combination with the drawings.

[0051] The embodiment of the present application provides an intelligent vehicle-grid interactive control system for large-scale electric vehicles, as shown in Fig. Figure 1 The system comprises:

[0052] The power distribution cloud master station has a regional aggregation control function, is used for aggregating and scheduling the capacity through "district area-feeder-main transformer-region" hierarchical aggregation, and generates control parameters and threshold values based on the "fusion terminal-charging pile-electric vehicle" service link to issue control instructions; the district area intelligent fusion terminal is provided with a vehicle-network interaction collection and control APP, is used for communicating with the power distribution cloud master station, receiving the control instructions, and generating a district area capacity control strategy according to the control instructions; the district area intelligent fusion terminal collects the real-time data of the battery active power of all electric vehicles in the district area through intelligent fusion technology, forms the district area schedulable capacity, and uploads the district area operating state, electric vehicle state and schedulable capacity to the power distribution cloud master station; the vehicle-network interaction protocol conversion device is connected between the district area intelligent fusion terminal and the charging pile, is used for realizing adaptive access of various electric vehicle charging pile equipment, and converting the control strategy issued by the district area intelligent fusion terminal into corresponding control instructions to issue to the corresponding charging pile; the charging pile is used for charging or discharging the electric vehicle, and adjusting the charging or discharging power according to the received control instructions; wherein the vehicle-network interaction collection and control APP can monitor the charging state and threshold value information of the electric vehicle in real time, collect relevant equipment information, and automatically generate a charging pile control strategy according to the district area voltage, frequency abnormality or the emergency control instruction issued by the power distribution cloud master station, and issue the frequency modulation capacity of each electric vehicle.

[0053] The charging pile includes an online operation charging pile and an offline private pile, wherein the online operation charging pile directly uploads the operating state information to the vehicle networking platform, and the offline private pile uploads the operating state information to the district area intelligent fusion terminal through the vehicle-network interaction protocol conversion device.

[0054] The district area intelligent fusion terminal generates a charging pile control strategy according to the real-time load condition of the district area and the threshold value set by the power distribution cloud master station, and sends the charging load target value and control warning data to the vehicle networking platform through the power distribution cloud master station. The district area load threshold value is also defined in the district area intelligent fusion terminal, and different control logics are made according to the comparison result of the actual output power and the rated capacity of the district area and the load condition of the district area.

[0055] Further, as Figure 2As shown, the application is designed with a bidirectional closed-loop data flow: the downstream business flow starts from the power distribution cloud master station, the master station issues control instructions according to the substation capacity state, the substation intelligent fusion terminal receives the instructions, and the vehicle-network interaction collection control APP generates a substation capacity control strategy and issues it to the vehicle-network interaction protocol conversion device, which converts the control strategy into corresponding control instructions and issues them to the corresponding charging pile to control the charging and discharging of electric vehicles, and pushes the state feedback to the vehicle owner. The upstream data flow starts from the charging pile, which collects and accesses vehicle information, and for online operating charging piles, the running state information is directly uploaded to the vehicle networking platform, the power distribution cloud master station interacts with the vehicle networking platform to confirm the participation of the control user, realizes the interconnection and data sharing between the charging pile and the platform, and for offline private piles, the running state information is uploaded to the fusion terminal through the protocol conversion device, and then the substation data is uploaded to the power distribution cloud master station.

[0056] Further, in the conventional charging mode, the vehicle owner can independently select the charging and discharging time and threshold according to the market price, and the vehicle networking platform and the substation intelligent fusion terminal monitor the running state of the charging pile in real time. According to the real-time load condition of the substation and the threshold set by the power distribution cloud master station, the charging pile control strategy in the substation is triggered to generate, and the charging load target value and control warning data are uploaded to the cloud master station to inform the vehicle networking platform; the fusion terminal locally controls the charging and discharging power of the charging pile.

[0057] Further, in an emergency, the substation intelligent fusion terminal can generate a charging pile control strategy according to the voltage and frequency changes of the substation or the emergency control instructions issued by the master station, and adjust the substation energy storage and electric vehicle charging and discharging in time sequence to realize the frequency modulation and peak regulation function.

[0058] Specifically, the substation power capacity can be determined as follows: taking the user-set vehicle SOC threshold as the reference, when the vehicle SOC state is lower than , the vehicle is marked as a one-way charging state, and when the vehicle SOC state is higher than , the vehicle is marked as a V2G state. Then the substation can call the power capacity as:

[0059]

[0060] wherein represents the maximum charging power of the substation, represents the sum of the minimum charging power of the one-way charging vehicles in the substation, represents the sum of the reverse discharging power of the V2G vehicles.

[0061] Specifically, the substation can call the V2G power capacity as:

[0062]

[0063] wherein represents the current participating V2G vehicles, is the current SOC state of the vehicle, SOC represents the rated charge capacity of the vehicle.

[0064] Further, to realize the maximum utilization of the adjustable capacity of the electric vehicle to maintain the stable operation of the power grid, the present application proposes the following power capacity control logic of the transformer area based on the smart vehicle-grid, to reduce the risk of transformer area voltage out-of-limit and heavy overload. First, the following transformer area load threshold is defined:

[0065] : This value is the early warning safety value of the load, which can be set by the distribution cloud master station, and the example is 75%;

[0066] : This value is the early warning safety value of the load, which can be set by the distribution cloud master station, and the example is 80%;

[0067] : This value is the full load value of the load, which can be set by the distribution cloud master station, and the example is 100%.

[0068] Then the required power capacity of the transformer area can be further defined as

[0069]

[0070] wherein is the actual output power of the current transformer area power grid, is the rated capacity of the transformer area.

[0071] Further, starting from the required power capacity of the transformer area, the present application formulates the following regulation logic for different load conditions:

[0072] (1) When the transformer area intelligent fusion terminal detects that the transformer area has a heavy overload alarm signal, if the transformer area has an energy storage system and can be discharged, the distribution cloud master station will first regulate the energy storage system to discharge, and compare the transformer area load adjustment power with the energy storage system discharge power . When , the distribution cloud master station regulates the energy storage system to discharge at power; when , the distribution cloud master station regulates the energy storage system to discharge at the maximum power, and monitors the transformer area load change. If the transformer area is still in the heavy overload state, the following operations are performed:

[0073] (2) If the transformer area is still in the heavy overload state, and the load rate continues to rise by ​When the above occurs, the power distribution cloud master station sends the target value of the charging load under the transformer area to the vehicle network platform, which then autonomously operates, guides, and regulates the charging load.

[0074] (3) When the load factor of the transformer area rises to And for two hours, the power distribution cloud master station sent an early warning message to the vehicle network platform, and the intelligent fusion terminal began to adjust the charging pile power locally:

[0075] Assume there are currently M vehicles in the area connected to V2G charging stations and that have reached their discharge threshold. Vehicles connected to V2G charging stations on the T-stage but not yet reaching the discharge threshold And vehicles connected to regular charging stations via Q-platform. If capacity adjustment is required The vehicle-to-everything (V2X) interactive data collection and control APP will first regulate... Perform proportional voltage drop for charging power; if capacity adjustment is required. Then the vehicle-to-everything (V2X) interactive data collection and control APP will first adjust... Charge to the lowest power level, then start. Right now Perform reverse discharge, gradually adjusting the discharge power. If reaching the maximum reverse power still cannot meet the required adjustment, further reduce the power. Charging power, until the regulation requirement is met. , or until Charging power is reduced to a minimum to unleash the full regulatory potential of electric vehicles in the area.

[0076] Based on a similar inventive concept, this invention also provides an intelligent vehicle-to-grid interaction control method corresponding to the aforementioned intelligent vehicle-to-grid interaction control system, comprising: achieving adaptive access of various electric vehicle charging pile devices through a vehicle-to-grid interaction protocol conversion device;

[0077] The charging status and threshold information of electric vehicles are monitored in real time through the vehicle-to-grid interactive data collection and control APP in the intelligent fusion terminal of the distribution area, and relevant equipment information is collected.

[0078] The intelligent fusion terminal of the distribution area gathers real-time data on the active power of the batteries of all electric vehicles in the distribution area to form the dispatchable capacity of the distribution area, and sends the operating status of the distribution area, the status of electric vehicles and the adjustable capacity to the distribution cloud master station.

[0079] The dispatchable capacity is aggregated hierarchically through the power distribution cloud master station, and control parameters and thresholds are generated based on the business links, and control instructions are issued to the intelligent converged terminal of the distribution area.

[0080] The intelligent fusion terminal generates a station area capacity control strategy according to the regulation and control instruction, and converts the control instruction into a control instruction through the vehicle-network interaction protocol conversion device to issue to the corresponding charging pile to adjust the charging or discharging power.

Claims

1. A smart vehicle-grid interaction control system for large-scale electric vehicles, characterized in that, The application relates to a power distribution cloud master station with a regional aggregation regulation function, which is used for aggregating and regulating the dispatchable capacity through "distribution area-feeder-main transformer-region" hierarchical aggregation, generating control parameters and threshold values based on a "fusion terminal-charging pile-electric vehicle" service link, and issuing regulation instructions; a distribution area intelligent fusion terminal which is provided with a vehicle-network interaction collection control APP and is used for communicating with the power distribution cloud master station, receiving the regulation instructions, and generating a distribution area capacity control strategy according to the regulation instructions; a vehicle-network interaction protocol conversion device which is connected between the distribution area intelligent fusion terminal and the charging pile and is used for realizing adaptive access of various electric vehicle charging pile devices and converting the control strategy issued by the distribution area intelligent fusion terminal into corresponding control instructions and issuing the control instructions to the corresponding charging pile; and a charging pile which is used for charging or discharging the electric vehicle and adjusting the charging or discharging power according to the received control instructions. The charging pile comprises online operation charging piles and offline private piles, wherein the online operation charging piles directly upload the running state information to the vehicle networking platform, and the offline private piles upload the running state information to the distribution area intelligent fusion terminal through the vehicle-network interaction protocol conversion device. In an emergency, the distribution area intelligent fusion terminal automatically generates a charging pile control strategy according to the voltage and frequency variation of the distribution area or the emergency control instruction issued by the distribution cloud master station, and timely and emergently adjusts the energy storage of the distribution area and the charging and discharging of the electric vehicle.

2. The intelligent vehicle-network interaction control system of claim 1, wherein, The distribution area intelligent fusion terminal generates a charging pile regulation strategy according to the real-time load condition of the distribution area and the threshold value set by the distribution cloud master station, and sends the charging load target value and the regulation early warning data to the vehicle networking platform through the distribution cloud master station.

3. The intelligent vehicle-web interaction control system of claim 1, wherein, The distribution area intelligent fusion terminal defines a distribution area load threshold value, and formulates different regulation logics according to the comparison result of the actual output power and the rated capacity of the distribution area and the load condition of the distribution area.

4. The intelligent vehicle-web interaction control system of claim 1, wherein, The different regulation logics comprise the following:

5. The intelligent vehicle-web interaction control system of claim 1, wherein, When the distribution area load rate rises to a preset value and lasts for a preset time, the distribution cloud master station sends vehicle networking platform early warning information, and the intelligent fusion terminal starts to regulate the charging pile power on site.

6. The intelligent vehicle-web interaction control system of claim 5, wherein, The different regulation logic is based on the calculated substation required call power capacity The determination of the substation required call power capacity includes: defining a first load threshold , a second load threshold , and a third load threshold , wherein < < , respectively, represent a first early warning safety value, a second early warning safety value, and a full load value of the load of the transformer substation. Computing the power capacity of the current substation wherein is the actual output power of the current substation grid, is the rated capacity of the substation.

7. The intelligent vehicle-web interaction control system of claim 6, wherein, The application relates to a power distribution cloud master station with a regional aggregation regulation function, which is used for aggregating and regulating the dispatchable capacity through "distribution area-feeder-main transformer-region" hierarchical aggregation, generating control parameters and threshold values based on a "fusion terminal-charging pile-electric vehicle" service link, and issuing regulation instructions; a distribution area intelligent fusion terminal which is provided with a vehicle-network interaction collection control APP and is used for communicating with the power distribution cloud master station, receiving the regulation instructions, and generating a distribution area capacity control strategy according to the regulation instructions; a vehicle-network interaction protocol conversion device which is connected between the distribution area intelligent fusion terminal and the charging pile and is used for realizing adaptive access of various electric vehicle charging pile devices and converting the control strategy issued by the distribution area intelligent fusion terminal into corresponding control instructions and issuing the control instructions to the corresponding charging pile; and a charging pile which is used for charging or discharging the electric vehicle and adjusting the charging or discharging power according to the received control instructions. When the intelligent fusion terminal of the transformer area detects that the transformer area has a heavy overload alarm signal, if the transformer area has an energy storage system and can be discharged, the power distribution cloud master station will first control the energy storage system to discharge, and compare the power capacity required to be called by the transformer area with the discharge power of the energy storage system ; If , the power distribution cloud master station regulates the energy storage system to discharge according to power; If The energy storage system is regulated to discharge maximum power, and the change of the load in the transformer area is monitored. If the transformer area is still in heavy overload state, and the load rate continues to rise to At this time, the power distribution cloud master station sends the charging load target value under the transformer area to the Internet of Vehicles platform, and the Internet of Vehicles platform independently operates and guides and controls the charging load. The charging pile comprises online operation charging piles and offline private piles, wherein the online operation charging piles directly upload the running state information to the vehicle networking platform, and the offline private piles upload the running state information to the distribution area intelligent fusion terminal through the vehicle-network interaction protocol conversion device.

8. A smart vehicle-grid interaction control method for large-scale electric vehicles, characterized in that, In an emergency, the distribution area intelligent fusion terminal automatically generates a charging pile control strategy according to the voltage and frequency variation of the distribution area or the emergency control instruction issued by the distribution cloud master station, and timely and emergently adjusts the energy storage of the distribution area and the charging and discharging of the electric vehicle. The distribution area intelligent fusion terminal generates a charging pile regulation strategy according to the real-time load condition of the distribution area and the threshold value set by the distribution cloud master station, and sends the charging load target value and the regulation early warning data to the vehicle networking platform through the distribution cloud master station. The distribution area intelligent fusion terminal defines a distribution area load threshold value, and formulates different regulation logics according to the comparison result of the actual output power and the rated capacity of the distribution area and the load condition of the distribution area. The different regulation logics comprise the following: When the distribution area load rate rises to a preset value and lasts for a preset time, the distribution cloud master station sends vehicle networking platform early warning information, and the intelligent fusion terminal starts to regulate the charging pile power on site. The application relates to a power distribution cloud master station with a regional aggregation regulation function, which is used for aggregating and regulating the dispatchable capacity through "distribution area-feeder-main transformer-region" hierarchical aggregation, generating control parameters and threshold values based on a "fusion terminal-charging pile-electric vehicle" service link, and issuing regulation instructions; a distribution area intelligent fusion terminal which is provided with a vehicle-network interaction collection control APP and is used for communicating with the power distribution cloud master station, receiving the regulation instructions, and generating a distribution area capacity control strategy according to the regulation instructions; a vehicle-network interaction protocol conversion device which is connected between the distribution area intelligent fusion terminal and the charging pile and is used for realizing adaptive access of various electric vehicle charging pile devices and converting the control strategy issued by the distribution area intelligent fusion terminal into corresponding control instructions and issuing the control instructions to the corresponding charging pile; and a charging pile which is used for charging or discharging the electric vehicle and adjusting the charging or discharging power according to the received control instructions. The charging pile comprises online operation charging piles and offline private piles, wherein the online operation charging piles directly upload the running state information to the vehicle networking platform, and the offline private piles upload the running state information to the distribution area intelligent fusion terminal through the vehicle-network interaction protocol conversion device. In an emergency, the distribution area intelligent fusion terminal automatically generates a charging pile control strategy according to the voltage and frequency variation of the distribution area or the emergency control instruction issued by the distribution cloud master station, and timely and emergently adjusts the energy storage of the distribution area and the charging and discharging of the electric vehicle. The distribution area intelligent fusion terminal generates a charging pile regulation strategy according to the real-time load condition of the distribution area and the threshold value set by the distribution cloud master station, and sends the charging load target value and the regulation early warning data to the vehicle networking platform through the distribution cloud master station. The distribution area intelligent fusion terminal defines a distribution area load threshold value, and formulates different regulation logics according to the comparison result of the actual output power and the rated capacity of the distribution area and the load condition of the distribution area. The different regulation logics comprise the following: When the distribution area load rate rises to a preset value and lasts for a preset time, the distribution cloud master station sends vehicle networking platform early warning information, and the intelligent fusion terminal starts to regulate the charging pile power on site. The real-time data of the battery active power of all electric vehicles in the transformer area is gathered by the transformer area intelligent fusion terminal to form the transformer area dispatchable capacity, and the transformer area operation state, electric vehicle state and adjustable capacity are uploaded to the power distribution cloud master station; The dispatchable capacity is aggregated by the power distribution cloud master station, and the control parameters and threshold values are generated based on the business link to issue control instructions to the transformer area intelligent fusion terminal; The transformer area capacity control strategy is generated by the transformer area intelligent fusion terminal according to the control instructions, and the control instructions are converted into control instructions by the vehicle network interaction protocol conversion device and issued to the corresponding charging pile to adjust the charging or discharging power. 9.The intelligent vehicle-network interaction control method of claim 8, wherein, Also includes: In the conventional charging mode, the running state of the charging pile is monitored by the vehicle networking platform and the transformer area intelligent fusion terminal in real time; According to the real-time load condition of the transformer area and the threshold value set by the power distribution cloud master station, the transformer area charging pile control strategy is triggered to generate; The power distribution cloud master station sends the charging load target value and the control warning data to the vehicle networking platform, and the transformer area intelligent fusion terminal controls the charging and discharging power of the charging pile on site; In an emergency, the transformer area intelligent fusion terminal automatically generates a charging pile control strategy according to the transformer area voltage and frequency change or the emergency control instructions issued by the power distribution cloud master station; the transformer area energy storage and electric vehicle charging and discharging are adjusted in time sequence. 10.The intelligent vehicle-network interaction control method of claim 8, wherein, The determination of the transformer area dispatchable capacity includes: With a user set vehicle SOC threshold As a reference, when the vehicle SOC state is below the threshold the vehicle is marked as one-way charging state, when the vehicle SOC state is above the threshold the vehicle is marked as V2G capable state; The transformer area callable power capacity is calculated as: wherein represents the maximum charging power of the station area, represents the sum of the minimum charging power of the unidirectional charging vehicles in the station area, represents the sum of the reverse discharge power of the participating V2G vehicles; The transformer area callable V2G power capacity can be determined as: wherein represents the current vehicles participating in V2G, is the current SOC state of the vehicle, SOC representing the rated charge capacity of the vehicle.

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