Vehicle-pile-network integrated layered simulation method based on information physical fusion

Abstract

The invention discloses a vehicle-pile-network integrated layered simulation method based on information physical fusion, and the method comprises the steps: dividing a vehicle-pile-network integrated CPS into a multi-region and multi-level coupled vertical system based on the idea of information physical fusion in combination with a modeling method based on an association characteristic matrix and an energy flow and information flow hybrid modeling method; abstracting system equipment, interfaces and information channels into points and edges to obtain a vehicle-pile-network integrated CPS abstract structure framework; establishing a physical layer-secondary equipment interface model, a secondary equipment node model and an information layer-secondary equipment interface model aiming at a coupling layer by considering communication topological association characteristics of the secondary equipment node, describing an information physical coupling relationship and master-slave attributes of the secondary equipment node, and establishing a real-time state data model aiming at the physical layer; the method comprises the steps of establishing an application service model for an information layer, finally establishing a vehicle-pile-network integrated CPS unit model through an incidence matrix, and establishing a whole-network unified model of the vehicle-pile-network integrated CPS by considering inter-hierarchy and intra-hierarchy coupling characteristics and data transmission characteristics in the vehicle-pile-network integrated CPS and a multi-hierarchy region regulation and control mode.

Description

Technical Field

[0001] The present invention relates to a technology in the field of power grid control, specifically a vehicle-pile-grid integrated hierarchical simulation method based on information-physics fusion. Background Art

[0002] To build a clean, low-carbon and efficient energy system, it is necessary to make full use of flexible resources on the load side, such as virtual energy storage and electric vehicles. Relevant studies have shown that electric vehicles (EVs) have more advantages in energy efficiency and carbon emission reduction than traditional fuel vehicles, and have strong carbon emission reduction potential. It is used to guide and dispatch user charging and discharging behaviors, enhance the stability of power system operation, and effectively promote the consumption of new energy, optimize the allocation of power resources, and improve energy efficiency. It has key strategic significance and application prospects. The existing cyber-physical fusion modeling methods face problems such as small scope of application and difficulty in solving. Summary of the invention

[0003] In view of the shortcomings of the prior art modeling based on the correlation characteristic matrix that is only suitable for the analysis of simple communication failures, and is difficult to cope with the vehicle-pile-network integrated CPS modeling with wide area distribution, massive data and complex models, and the defect that the mixed modeling of energy flow and information flow involves time domain calculation and discrete calculation, which is difficult to solve, the present invention proposes a vehicle-pile-network integrated hierarchical simulation method based on information-physics fusion, which solves the problem that the existing modeling method based on the correlation characteristic matrix is ​​difficult to apply to the vehicle-pile-network integrated CPS modeling with wide area distribution, massive data and complex models.

[0004] The present invention is achieved through the following technical solutions:

[0005] The invention relates to a vehicle-pile-network integrated hierarchical simulation method based on information-physics fusion. Based on the idea of ​​information-physics fusion, a modeling method based on an association characteristic matrix and a hybrid modeling method of energy flow and information flow are combined. After the vehicle-pile-network integrated CPS is divided into a multi-region and multi-level coupled vertical system, system equipment, interfaces and information channels are abstracted into points and edges to obtain a vehicle-pile-network integrated CPS abstract structure framework; then, considering the secondary device node communication topology association characteristics, a physical layer-secondary device interface model, a secondary device node model and an information layer-secondary device interface model are established for the coupling layer, the information-physics coupling relationship and the master-slave attributes of the secondary device nodes are described, and a real-time state data model is established for the physical layer; an application business model is established for the information layer, and finally a vehicle-pile-network integrated CPS unit model is constructed through an association matrix. Considering the coupling characteristics between levels and within levels and the data transmission characteristics in the vehicle-pile-network integrated CPS and the multi-level regional control mode, a vehicle-pile-network integrated CPS full-network unified model is established.

[0006] The vertical system includes: physical layer, secondary equipment layer, communication layer and information layer, among which: the physical layer is the primary equipment in the vehicle-pile-network integrated CPS; the secondary equipment layer is the remote control terminal device, which is the interface between the physical layer and the communication layer, and handles the physical layer information collection and control instruction execution; the communication layer is the layer where the communication network is located, including the uplink / downlink communication channels and the regional sub-control center; the information layer, that is, the main control center, comprehensively handles data monitoring, state estimation, optimization decision-making, automatic control and other management services in each link. Technical Effects

[0007] The present invention divides the vehicle-pile-network integrated CPS into a unique multi-level coupled vertical system of physical layer, secondary equipment layer, communication layer and information layer, adapts to the complex structural characteristics of the vehicle-pile-network integrated CPS, provides a clear framework for subsequent modeling and analysis, and has significant advantages in processing vehicle-pile-network integrated systems with wide-area distribution, massive data and complex models; combined with the modeling method based on the correlation characteristic matrix and the energy flow and information flow hybrid modeling method, the correlation relationship between each level and the levels is modeled, which provides a key technical means for solving the modeling problem of the vehicle-pile-network integrated CPS. Compared with the prior art, the present invention divides the vehicle-pile-network integrated CPS into a multi-level coupled vertical system according to the physical entity architecture and the functional characteristics of each level of the vehicle-pile-network integrated CPS, and abstractly models the above-mentioned information physical entity structure hierarchical framework, which can be well applied in most scenarios. Combined with the modeling method based on the correlation characteristic matrix and the energy flow and information flow hybrid modeling method, according to the multi-level regional control mode, a unified model of the vehicle-pile-network integrated CPS full network is established, which simplifies the calculation and retains the key characteristics of the information network. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 The schematic diagram of the architecture of the cyber-physical system;

[0009] Figure 2 This is a schematic diagram of the multi-level physical entity structure of the vehicle-pile-network integrated cyber-physical system;

[0010] Figure 3 This is a schematic diagram of the hierarchical structure model of the vehicle-pile-network integrated information-physical system;

[0011] Figure 4 This is a schematic diagram of the abstract structural framework of the vehicle-pile-network integrated cyber-physical system;

[0012] Figure 5 It is a schematic diagram of the secondary device node;

[0013] Figure 6This is the closed-loop control flow chart of the vehicle-pile-network integrated cyber-physical system. DETAILED DESCRIPTION

[0014] like Figure 1 As shown, this embodiment relates to a vehicle-pile-network integrated hierarchical simulation method based on cyber-physical fusion, including:

[0015] Step 1: Construct the vehicle-pile-network integrated cyber-physical entity structure framework, including:

[0016] 1.1 Build as Figure 1 The CPS architecture shown in the figure includes an information system (sensor network, actuator network, control center, information center) and a physical system, in which: the sensor perceives the environmental information and the physical system, and then transmits the perceived information to the information center and the control center; the control center will analyze, calculate and make decisions based on the information obtained, and generate control instructions to send to the actuator. The actuator controls the physical objects in the physical system according to the control instructions issued by the control center, so as to achieve the goal of changing the physical system. This closed-loop process ensures that the CPS can control the physical objects in a safe, efficient, reliable and real-time manner.

[0017] 1.2 Build as Figure 3 The vehicle-pile-network information-physical entity structure framework shown includes: a physical layer, a secondary equipment layer, a communication layer, and an information layer.

[0018] The physical layer includes: primary equipment of the power system in the vehicle-pile-grid integration, including: traditional primary equipment of the power system (busbar, transmission line, transformer, circuit breaker, disconnector, etc.), electric vehicles, and these devices are interconnected in a specific topological structure.

[0019] The secondary equipment layer includes remote terminal units (RTUs) of physical elements in vehicle-grid interaction, including: smart meters (used to accurately measure the charging and discharging power of charging piles), charging controllers (used to control the charging process of charging piles, including adjusting charging current, voltage and other parameters), protection relays (used to monitor faults of charging piles and related circuits, such as overcurrent, overvoltage, leakage, etc.), energy management systems (EMS) (systems for monitoring and managing the use of electric energy), and battery management systems (BMS) (processing, monitoring and managing the status of electric vehicle batteries, including battery voltage, temperature, state of charge (SOC), etc.). These secondary equipment nodes can complete the collection and processing of status information and measurement information of multiple types of primary equipment such as lines, transformers, switch cabinets, electric vehicle batteries, etc., and execute corresponding control commands.

[0020] The secondary equipment nodes include: data acquisition nodes, information interaction nodes, control execution nodes, and fault identification nodes.

[0021] The communication layer includes: communication access network and backbone communication network, wherein: access communication network includes user terminal equipment, access network base station equipment (such as 4G / 5G base station), access network switch, modem, etc.; backbone communication network includes core router, transmission equipment (such as optical terminal, wavelength division multiplexing equipment), backbone network switch. The communication modes of access communication network are wired (such as Ethernet access, DSL access) and wireless (such as cellular mobile communication access, Wi-Fi access); backbone communication network adopts optical fiber communication and IP protocol-based packet switching communication mode. Optical fiber communication is used for long-distance high-speed transmission, and IP protocol packet switching transmits data according to the address information and routing table in the data packet.

[0022] The information layer control center serves as the core of the entire vehicle-pile-network integrated CPS, including: the main control center and the regional sub-control center, among which: the regional sub-control center can be further divided into a monitoring functional sub-control center and a communication convergence sub-control center, which is in the middle level (communication layer) of the entire vehicle-pile-network integrated CPS. The regional sub-control center plays a vital role. It can realize comprehensive monitoring and control of the vehicle-network interaction scenes and fault diagnosis in the area under its jurisdiction. At the same time, the regional sub-control center processes the status information and measurement information of various primary equipment, including lines, transformers, switch cabinets, electric vehicle batteries, etc., collected by the secondary equipment nodes, and accurately transmits it to the main control center, so as to assist the main control center in completing the optimized management and efficient monitoring and control of the entire vehicle-pile-network integrated system.

[0023] The main control center of the information layer is at the core of the entire vehicle-pile-network integrated CPS, which covers the platform layer and the application layer, including: data acquisition and monitoring system (SCADA), vehicle-network interactive management system (V2GMS), and geographic information system (GIS). In the platform layer, a large number of server clusters, network equipment clusters, and storage equipment clusters are distributed in an orderly manner. These devices bear the important responsibility of storing multi-dimensional historical data; the application layer is an abstract summary of the information business in the application field of the platform layer. It has the ability to realize various advanced functions and operational decisions, so as to complete the monitoring, control and effective management of the entire vehicle-pile-network integrated system.

[0024] Step 2: The complete closed-loop process of state perception-information transmission-optimized decision-making-command execution includes:

[0025] 2.1 After the secondary equipment collects the real-time operation data of the physical layer, it uploads the real-time operation data to the regional sub-control center of the communication layer through the upload communication channel.

[0026] 2.2 The regional sub-control center forwards the real-time operation data to the main control center of the information layer. The main control center formulates optimization decision instructions based on the real-time operation status of the physical layer and forwards them to the regional sub-control center.

[0027] 2.3 The regional sub-control center sends the optimization decision instructions to the secondary equipment of the physical layer through the downlink communication channel, thereby realizing the execution of the control instructions and updating the operating status of the physical layer.

[0028] According to the logical relationship between the above layers, the hierarchical structure includes the physical layer, secondary equipment layer, communication layer and information layer. Figure 3 As shown. The vehicle-pile-network integrated CPS is built on the basis of the vertical integration of the above levels, so as to ultimately achieve intelligent management of vehicle-network interaction. When modeling the vehicle-pile-network integrated CPS based on the above hierarchical structure, it is necessary not only to describe the topological association structure within each level and between levels, but also to reflect the interaction process of energy flow and information flow.

[0029] Step 3: Use graph theory to construct Figure 4 The vehicle-pile-network integrated information-physical abstract structure framework shown in the figure is used to carry out the vehicle-pile-network integrated CPS model. In the vehicle-pile-network integrated CPS, the primary devices are abstracted into physical nodes, the application services of the information layer are abstracted into virtual information nodes, and the secondary device nodes are abstracted into coupling intermediate nodes.

[0030] 3.1 Construction Figure 5 The unit model of the vehicle-pile-network integrated CPS shown in the figure: The unit model of the vehicle-pile-network integrated CPS needs to reflect the interaction mechanism of information flow and energy flow in the regional sub-control center. In this system, the frequent interaction of energy flow and information flow between the information layer and the physical layer relies on the secondary device layer and the communication layer. In view of the fact that there are a large number of distributed collaborative control methods and control logics in the vehicle-pile-network integrated CPS, the information transmission characteristics between the secondary device nodes need to be reflected. Therefore, for the interaction between the information layer and the physical layer, the physical layer-secondary device layer interface, the secondary device layer, and the information layer-secondary device layer (access network, backbone network communication link model) interface should be modeled respectively.

[0031] The physical entity layer model in the vehicle-pile-network integrated CPS unit model includes transmission lines, electric vehicles, circuit breakers, disconnectors and other primary equipment that are connected to each other, and their operating status is changing all the time. Therefore, the physical nodes in the vehicle-pile-network integrated CPS model can be regarded as data nodes. If the electrical characteristics are taken into consideration, the AC power flow model can be used for the distribution network flow characteristics, and the timing model can be used for electric vehicle batteries. According to the physical entity association architecture of the vehicle-pile-network integrated CPS physical layer, the vehicle-pile-network integration is refined into a topology diagram V2G. p =(N p ,L p ), electric vehicles, transformers and other equipment in the physical layer are simplified to physical nodes, and distribution lines are simplified to physical lines. p The vehicle-pile-network integrated system with 10 physical nodes is connected through the matrix To illustrate the real-time data status of the physical components at the current time t, when the structure of the vehicle-pile-network integrated system changes and new physical equipment is connected, the specific Where: p ij is the element in the real-time data matrix, and P(t) is the data at the current moment. The element p on the diagonal ii is the real-time data of the physical node; the element p located in the off-diagonal line ij is the real-time data of the physical line. In this paper, its value is regarded as the switch state on the physical line segment of vehicle-pile-network integration, that is, p ij =1 means the switch is in the closed state, and p ij =0 means the switch is in the open state.

[0032] The physical layer-secondary device layer interface model uses a matrix Describes the relationship between physical entities and secondary device nodes, matrix The structure definition is as follows: Where: pd ij is the element in the physical-secondary device interface matrix, Diagonal element pd ii Represents the association between the physical node and the secondary device. If there is a mutual association between the physical node and the secondary device node, it is considered that the two can exchange information, that is, pd ii =1, otherwise pd ii =0; non-diagonal element pd ij Represents the association between the physical line and the secondary device. If there is a mutual association between the physical line and the secondary device node, it is considered that the two can exchange information, that is, pd ij =1, otherwise pd ij= 0. In addition, P→D represents the secondary device information measurement process, and D→P represents the secondary device instruction execution process.

[0033] In the secondary device layer model, the secondary device nodes act as the intermediate nodes of information-physical coupling, and the secondary device layer reflects the performance of the secondary device nodes. The functional characteristics of the secondary device nodes are quite complex, and they can realize the "remote sensing", "remote communication" and "remote control" of information, and achieve the interactive fusion of energy flow and information flow, such as Figure 5 As shown. Given that the vehicle-pile-network integrated CPS has many distributed control logics and the secondary device nodes have frequent interactions, some secondary device nodes do not communicate and interact directly with the main control center, but rely on the master-slave attributes between the secondary device nodes to indirectly interact with the main control center.

[0034] In the vehicle-pile-network integrated CPS, the secondary device nodes can monitor and control physical components such as lines, switches, and electric vehicle batteries. At the same time, the secondary device nodes of the physical nodes often have the function of communication. Therefore, there is a certain correlation between the logical connection between the secondary device layer and the information layer and the physical layer, as well as the model application algorithm. In this section, the secondary device layer model is divided into two parts, which can be described as the communication topology connection relationship between the secondary device nodes corresponding to the physical nodes under the direct connection of the physical link, and can also achieve a description of data transmission processing. Therefore, construct D1 is used to reflect the data information transmitted after the secondary device-physical interface model; construct D2 is used to describe the communication connection relationship of the secondary device nodes of the physical node. Generally speaking, if there is no information interaction between the nodes of the secondary device layer, the model is generally a unit matrix; if there is information interaction between the secondary device nodes, a large number of communication devices are simplified, then the secondary device layer model D2 can represent the communication topology connection status within the layer.

[0035] The matrix D is used to describe the secondary device layer model. p A secondary device node network of physical nodes, a secondary device matrix The structure definition is as follows: in: The elements in the secondary device matrix D1 are the data received by the current secondary device node, the measurement data information collected and transmitted through the secondary device-physical interface matrix, or the control command information collected and transmitted through the secondary device-information interface matrix. The secondary device node data information corresponding to the physical node, the elements on the off-diagonal line It is the secondary device node data information corresponding to the physical line. is the element in the secondary device connection matrix D2, is the physical / logical association relationship of the secondary device nodes, Elements on the diagonal The physical node secondary device itself, the off-diagonal elements Represents the secondary device channel. If there is a communication connection between secondary device node i and secondary device node j, then If there is no communication connection between secondary device node i and secondary device node j, then

[0036] In the information layer-secondary equipment interface model, in the vehicle-pile-network integrated CPS, considering the existence of multiple information layer control centers such as the regional sub-control center layer and the main control center, the regional sub-control center can play a role in collecting and screening data and can complete the control within the region. Therefore, the information layer-secondary equipment interface model needs to reflect the transmission characteristics of the communication access network and the communication backbone network.

[0037] The specific communication paths of the communication network adopt different transmission configuration methods according to different services, such as dynamic routing. It is relatively difficult to characterize the logical association relationship of this part of information interaction through pure communication network topology connection, so the many redundant switches, routers, communication links and other equipment involved in data transmission are simplified, and the directional characteristics of information flow in the backbone network and access network information transmission system are considered, which are equivalent to the data link model of the communication access network and the communication backbone network.

[0038] Adoption Matrix Indicates the communication relationship between the secondary device node and the regional sub-control center. The structure definition is as follows: Where: ij It is an element in the information layer-secondary device interface matrix. d ij =1 indicates that there is a communication relationship between the secondary equipment node and the regional sub-control center. ij =0 means that there is no communication relationship between the secondary equipment node and the sub-control center. D→C sub Represents the secondary device node data upload process, C sub →D represents the process of issuing instructions from the control center.

[0039] Adoption Matrix Represents the communication relationship between the secondary device node and the main control center, matrix D→C main Indicates that data is uploaded from the secondary device node to the main control center via the communication layer; matrix C main →D indicates that data is sent from the main control center to the secondary device node via the communication layer. The modeling idea is similar to the above method and will not be repeated here.

[0040] In the information layer model, the main control center is the key to the core decision-making of the vehicle-pile-network integrated CPS automation. In the information layer, the main control center will set various optimization algorithms according to the corresponding application services, which will then be equivalent to the virtual network nodes of the main control center. At the same time, according to different main control center goals, a mapping function matrix F(·) will be set. In this case, in order to realize the modeling of the vehicle-pile-network integrated CPS, the modeling process uses the information receiving matrix C receive and the information sending matrix C send Describes the input and output of the information layer, while C send Generally represents the opening and closing of the circuit breaker and the change in charging and discharging power. It is worth noting that the information receiving matrix and information sending matrix of the main control center are consistent with the real-time data matrix of the physical layer in terms of dimension. Since the main control center has a large number of analysis, calculation and decision-making functions such as feeder protection automation, dispatching automation, and metering automation, the information layer model is specifically: C = diag[F1LF m ], where: F m represents the optimization decision algorithm of the main control center, and m is the number of optimization decision businesses.

[0041] 3.2 Construction Figure 6 The unified model of the vehicle-pile-network integrated CPS network shown in the figure: During the vehicle-pile-network integrated operation, in each collection cycle, the secondary equipment collection terminal device will collect the measurement data. After that, these data will be transmitted to the sub-control center through the access network, and the collection and screening operations will be completed in the sub-control center. Among them: part of the data will be transmitted to the main control center through the backbone network. The main control center will output control instructions after optimizing the data. These instructions will be sent to the secondary equipment control terminal device through the data link of the backbone network and the access network. The secondary equipment control terminal device will perform related operations, so that the vehicle-pile-network integration can reach a new operating state.

[0042] Taking into account the coupling characteristics and data transmission characteristics between and within the layers of the vehicle-pile-network integrated CPS, as well as the multi-level control characteristics of the regional sub-control center and the main control center, a unified model of the entire network of the vehicle-pile-network integrated CPS is constructed, specifically: The information uploading process is PD→D→DC, and the information sending process is CD→D→DP.

[0043] Compared with the prior art, the present invention divides the vehicle-pile-network integrated CPS into a multi-layer coupled vertical system, which can effectively cope with the complex structure of the system, make the relationship and interaction between the various parts of the system clearer, and provide a good foundation for modeling and analysis; combined with the modeling method based on the correlation characteristic matrix and the hybrid modeling method of energy flow and information flow, it simplifies the calculation and retains the key characteristics of the information network.

[0044] The above-mentioned specific implementation can be partially adjusted in different ways by those skilled in the art without departing from the principle and purpose of the present invention. The protection scope of the present invention shall be based on the claims and shall not be limited by the above-mentioned specific implementation. Each implementation scheme within its scope shall be subject to the constraints of the present invention.

Claims

1. A vehicle-pile-network integrated hierarchical simulation method based on cyber-physical fusion, characterized in that: Based on the idea of ​​information-physical fusion, combined with the modeling method based on the correlation characteristic matrix and the hybrid modeling method of energy flow and information flow, the vehicle-pile-network integrated CPS is divided into a multi-region and multi-level coupled vertical system, and the system equipment, interface and information channel are abstracted into points and edges to obtain the abstract structure framework of the vehicle-pile-network integrated CPS; then considering the communication topology correlation characteristics of the secondary device nodes, the physical layer-secondary device interface model, the secondary device node model, and the information layer-secondary device interface model are established for the coupling layer to describe the information-physical coupling relationship and the master-slave attributes of the secondary device nodes, and a real-time status data model is established for the physical layer; an application business model is established for the information layer, and finally a vehicle-pile-network integrated CPS unit model is constructed through the correlation matrix. Considering the coupling characteristics between and within the layers and the data transmission characteristics in the vehicle-pile-network integrated CPS and the multi-level regional control method, a unified model of the vehicle-pile-network integrated CPS full network is established.

2. The vehicle-pile-network integrated hierarchical simulation method based on cyber-physical fusion according to claim 1 is characterized in that: The vertical system includes: physical layer, secondary equipment layer, communication layer and information layer, among which: the physical layer is the primary equipment in the vehicle-pile-network integrated CPS; the secondary equipment layer is the remote control terminal device, which is the interface between the physical layer and the communication layer, and handles the physical layer information collection and control instruction execution; the communication layer is the layer where the communication network is located, including the uplink / downlink communication channels and the regional sub-control center; the information layer, that is, the main control center, comprehensively handles data monitoring, state estimation, optimization decision-making, automatic control and other management services in each link.

3. The vehicle-pile-network integrated hierarchical simulation method based on cyber-physical fusion according to claim 1 or 2 is characterized in that: include: Step 1: Construct the vehicle-pile-network integrated cyber-physical entity structure framework, including: 1.1 Build CPS architecture, including information systems and physical systems; 1.2 Construct the information-physical entity structure framework of vehicle-pile-network, including: physical layer, secondary equipment layer, communication layer and information layer; Step 2: The complete closed-loop process of state perception-information transmission-optimized decision-making-command execution includes: 2.1 After the secondary equipment collects the real-time operation data of the physical layer, it uploads the real-time operation data to the regional sub-control center of the communication layer through the upload communication channel; 2.2 The regional sub-control center forwards the real-time operation data to the main control center of the information layer. The main control center formulates optimization decision instructions based on the real-time operation status of the physical layer and forwards them to the regional sub-control center; 2.3 The regional sub-control center sends the optimization decision instructions to the secondary equipment of the physical layer through the downlink communication channel, thereby executing the control instructions and updating the operating status of the physical layer; Step 3: Use graph theory to construct the vehicle-pile-network integrated information-physical abstract structure framework and conduct a vehicle-pile-network integrated CPS model. In the vehicle-pile-network integrated CPS, primary devices are abstracted into physical nodes, application services at the information layer are abstracted into virtual information nodes, and secondary device nodes are abstracted into coupling intermediate nodes. 3.1 Construct a vehicle-pile-network integrated CPS unit model; 3.2 Build a unified CPS network model integrating vehicle, charging pile and network.

4. The vehicle-pile-network integrated hierarchical simulation method based on cyber-physical fusion according to claim 3 is characterized in that: The physical layer includes: primary equipment of the power system in the vehicle-pile-grid integration, including: primary equipment of the traditional power system, electric vehicles, and these devices are interconnected in a specific topological structure.

5. The vehicle-pile-network integrated hierarchical simulation method based on cyber-physical fusion according to claim 3 is characterized in that: The secondary equipment layer includes remote terminal units (RTUs) of physical elements in vehicle-grid interaction, including: smart meters (used to accurately measure the charging and discharging power of charging piles), charging controllers (used to control the charging process of charging piles, including adjusting parameters such as charging current and voltage), protection relays (used to monitor faults of charging piles and related circuits, such as overcurrent, overvoltage, leakage, etc.), energy management systems (EMS) (a system for monitoring and managing the use of electric energy), and battery management systems (BMS) (processing, monitoring and managing the status of electric vehicle batteries, including battery voltage, temperature, state of charge (SOC), etc. These secondary equipment nodes can complete the collection and processing of status information and measurement information of multiple types of primary equipment such as lines, transformers, switch cabinets, and electric vehicle batteries, and execute corresponding control commands; The secondary equipment nodes include: data acquisition nodes, information interaction nodes, control execution nodes, and fault identification nodes.

6. The vehicle-pile-network integrated hierarchical simulation method based on cyber-physical fusion according to claim 3 is characterized in that: The communication layer includes: a communication access network and a backbone communication network, wherein: the access communication network includes user terminal equipment, access network base station equipment (such as 4G / 5G base stations), access network switches, modems, etc.; the backbone communication network includes core routers, transmission equipment (such as optical terminals, wavelength division multiplexing equipment), and backbone network switches. The communication modes of the access communication network are wired (such as Ethernet access, DSL access) and wireless (such as cellular mobile communication access, Wi-Fi access); the backbone communication network adopts optical fiber communication and IP-based packet switching communication methods. Optical fiber communication is used for long-distance high-speed transmission, and IP protocol packet switching transmits data according to the address information and routing table in the data packet.

7. The vehicle-pile-network integrated hierarchical simulation method based on cyber-physical fusion according to claim 3 is characterized in that: The information layer control center is the core of the entire vehicle-pile-network integrated CPS, including: the main control center and the regional sub-control center, wherein: the regional sub-control center can be further divided into a monitoring functional sub-control center and a communication convergence sub-control center. It is in the middle level (communication layer) of the entire vehicle-pile-network integrated CPS. The regional sub-control center plays a vital role. It can realize comprehensive monitoring and control of the vehicle-network interaction scenes and fault diagnosis in its jurisdiction. At the same time, the regional sub-control center processes the status information and measurement information of various primary devices, including lines, transformers, switch cabinets, electric vehicle batteries, etc., collected by the secondary equipment nodes, and accurately transmits them to the main control center, so as to assist the main control center in completing the optimization management and efficient monitoring and control of the entire vehicle-pile-network integrated system; The information layer main control center is at the core of the entire vehicle-pile-network integrated CPS, which covers the platform layer and the application layer, including: data acquisition and monitoring system (SCADA), vehicle-network interactive management system (V2GMS), geographic information system (GIS). In the platform layer, a large number of server clusters, network equipment clusters and storage equipment clusters are distributed in an orderly manner. These devices bear the important responsibility of storing multi-dimensional historical data; the application layer is an abstract summary of the application field information business in the platform layer. It has the ability to realize various advanced functions and operational decisions, so as to complete the monitoring, control and effective management of the entire vehicle-pile-network integrated system.

8. The vehicle-pile-network integrated hierarchical simulation method based on cyber-physical fusion according to claim 3 is characterized in that: The physical entity layer model in the vehicle-pile-network integrated CPS unit model includes transmission lines, electric vehicles, circuit breakers, disconnectors and other primary equipment connected to each other, and their operating status is changing all the time. Therefore, the physical nodes in the vehicle-pile-network integrated CPS model can be regarded as data nodes. If the electrical characteristics are taken into consideration, the distribution network flow characteristics can use the AC flow model, and the electric vehicle battery can use the timing model. According to the physical entity association architecture of the vehicle-pile-network integrated CPS physical layer, the vehicle-pile-network integration is refined into a topological diagram V2G. p =(N p ,L p ), electric vehicles, transformers and other equipment in the physical layer are simplified to physical nodes, and distribution lines are simplified to physical lines. p The vehicle-pile-network integrated system with 10 physical nodes is connected through the matrix To illustrate the real-time data status of the physical components at the current time t, when the structure of the vehicle-pile-network integrated system changes and new physical equipment is connected, the specific Where: p ij is the element in the real-time data matrix, P(t) is the data at the current moment, and the element p on the diagonal is ii is the real-time data of the physical node; the element p located in the off-diagonal line ij is the real-time data of the physical line. In this paper, its value is regarded as the switch state on the physical line segment of vehicle-pile-network integration, that is, p ij =1 means the switch is in the closed state, and p ij =0 means the switch is in the open state.

9. The vehicle-pile-network integrated hierarchical simulation method based on cyber-physical fusion according to claim 3 is characterized in that: The physical layer-secondary device layer interface model uses a matrix Describes the relationship between physical entities and secondary device nodes, matrix The structure definition is as follows: Where: pd ij is the element in the physical-secondary device interface matrix, Diagonal element pd ii Represents the association between the physical node and the secondary device. If there is a mutual association between the physical node and the secondary device node, it is considered that the two are exchanging information, that is, pd ii =1, otherwise pd ii =0; non-diagonal element pd ij Represents the association between the physical line and the secondary device. If there is a mutual association between the physical line and the secondary device node, it is considered that the two are exchanging information, that is, pd ij =1, otherwise pd ij =0, in addition, P→D represents the secondary equipment information measurement process, and D→P represents the secondary equipment instruction execution process; The secondary device layer model is described by matrix D, specifically: p A secondary device node network of physical nodes, a secondary device matrix The structure definition is as follows: in: is an element in the secondary device matrix D1, which is the data received by the current secondary device node, the measurement data information collected and transmitted through the secondary device-physical interface matrix, or the control command information collected and transmitted through the secondary device-information interface matrix. The elements on the diagonal are The secondary device node data information corresponding to the physical node, the elements on the off-diagonal line It is the secondary device node data information corresponding to the physical line. is the element in the secondary device connection matrix D2, is the physical / logical association relationship of the secondary device nodes, Elements on the diagonal The physical node secondary device itself, the off-diagonal elements Represents the secondary device channel. If there is a communication connection between secondary device node i and secondary device node j, then If there is no communication connection between secondary device node i and secondary device node j, then Adoption Matrix Indicates the communication relationship between the secondary device node and the regional sub-control center. The structure definition is as follows: Where: ij It is an element in the information layer-secondary device interface matrix. d ij =1 indicates that there is a communication relationship between the secondary equipment node and the regional sub-control center. ij =0 means that there is no communication relationship between the secondary equipment node and the sub-control center, D→C sub Represents the secondary device node data upload process, C sub →D represents the process of issuing instructions from the control center; using matrix Represents the communication relationship between the secondary device node and the main control center, matrix D→C main Indicates that data is uploaded from the secondary device node to the main control center via the communication layer; matrix C main →D indicates that data is sent from the main control center to the secondary device node via the communication layer. The modeling idea is similar to the above method and will not be repeated here.

10. The vehicle-pile-network integrated hierarchical simulation method based on cyber-physical fusion according to claim 9 is characterized in that: The unified model of the whole network of the vehicle-pile-network integrated CPS is specifically: The information uploading process is PD→D→DC, and the information sending process is CD→D→DP.

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