Electric power information physical system configuration method and device, equipment and storage medium

Abstract

The invention discloses an electric power information physical system configuration method, apparatus and device, and a storage medium. The method comprises the steps of constructing a structure corresponding to CPPS including a logic control network, a data forwarding network and a power network based on an SDON; establishing a cascade fault model of the power cyber-physical system according to the structure and the dependency relationship of the power cyber-physical system; training the cascade fault model of the electric power information physical system by using a preset objective function so as to update power grid power flow distribution in the cascade fault model of the electric power information physical system; and calculating the load loss rate of the system according to the power grid load flow distribution of the trained cascade fault model of the electric power information physical system, and determining the network configuration of the electric power information physical system according to the load loss rate. The CPPS system is constructed based on the SDON, flexible configuration and scheduling of the optical network resources are realized through virtualization management of the network resources, the response speed and the adaptive capacity of the CPPS system are improved, and the system stability is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power information system configuration, and in particular to a power information-physical system configuration method, device, equipment and storage medium. Background Art

[0002] With the rapid development of smart grid technology, Cyber-Physical Power Systems (CPPS) have shown great potential in improving the flexibility, reliability and intelligence of power grids. CPPS achieves efficient monitoring and precise control of power grids by deeply integrating the physical processes of power systems with computing, communication and control technologies.

[0003] However, with the increasing complexity of the network environment and the continuous growth of bandwidth demand, traditional CPPS has gradually exposed its shortcomings in flexibility, scalability and network survivability. In existing studies, most of the CPPS models are established as a two-layer model of communication network and power grid, but this limits the flexibility of the network and increases the risk of network congestion.

[0004] It can be seen that how to improve the flexibility and scalability of the CPPS system has become a technical problem that needs to be urgently solved by those skilled in the art. Summary of the invention

[0005] The present invention provides a method, device, equipment and storage medium for configuring a power information-physical system to improve the flexibility and scalability of a CPPS system.

[0006] In order to solve the above technical problems, an embodiment of the present invention provides a method for configuring an electric power cyber-physical system, including:

[0007] The structure corresponding to the power information-physical system including the logic control network, data forwarding network and power grid is constructed based on the software-defined optical network.

[0008] The dependency relationship between the logic control network and the data forwarding network is analyzed through a topological model between the power grid and the communication network, and a cascading failure model of the power information-physical system is established according to the structure of the power information-physical system and the dependency relationship.

[0009] The electric power cyber-physical system cascading failure model is trained with a preset objective function to update the power grid power flow distribution in the electric power cyber-physical system cascading failure model.

[0010] The load loss rate of the system is calculated according to the power grid flow distribution of the trained power information-physical system cascading failure model, and the network configuration of the power information-physical system is determined according to the load loss rate.

[0011] Further, the analyzing the dependency relationship between the logic control network and the data forwarding network through the topology model between the power network and the communication network includes:

[0012] The power grid-communication network coupling relationship is established according to the topological model between the power grid and the communication network.

[0013] The dependency relationship between the logic control network and the data forwarding network is obtained according to the power grid-communication network coupling relationship analysis, wherein the network dependency of the data forwarding node cn on the logic node ln is:

[0014]

[0015] Among them, cn i is the data forwarding node i,ln j is the logical point j, Path L (cn i ,d) is the data forwarding node cn i The set of logical nodes on the path to controller d.

[0016] The physical dependency of the logical node ln on the data forwarding node cn is:

[0017]

[0018] Among them, Path c (ln j ,d) is the logical node ln j The set of data forwarding nodes on the path to controller d.

[0019] Furthermore, the training of the electric power cyber-physical system cascading failure model with a preset objective function includes:

[0020] With the goal of minimizing the energy consumption of the logic control network during system operation, and with the link congestion condition constraints, flow conservation constraints, information flow unidirectional constraints and power grid constraints as constraints, the cascading failure model of the power information-physical system is trained, wherein the objective function is:

[0021]

[0022] Where ψ is the total number of information flows, is the information flow state of node i, N lc A collection of logical control network nodes.

[0023] Furthermore, the link congestion condition is constrained as follows:

[0024]

[0025] in, is whether the information flow of node k is blocked, F k is the set of links from logical control node k to the control center, c ij is the number of channels occupied by the data forwarding link (i, j), c ji is the number of channels occupied by the data forwarding link (j,i), W is the total number of channels carried by all optical fibers, w i,j is the total number of channels carried by the optical fiber link (i, j);

[0026] The flow conservation constraint is:

[0027]

[0028] Among them, E k is the set of logical control network links; (i, j) is the link between the source node and the destination node; (j, i) is the link between the destination node and the source node; f ij is through source node n s To destination node n d The information flow of the link (i, j) between them; f ji Through the destination node n d To source node n s The information flow of the link (j,i) between them;

[0029] The unidirectionality constraint of information flow is:

[0030]

[0031] Among them, r is the logical control network node; is the information flow of link (i, j) controlled by node r; is the information flow of link (j,i) controlled by node r;

[0032] The power grid constraints are:

[0033]

[0034] Among them, R is the set of middle nodes in the logic control network; S r is the ROADM set in the data forwarding network of node r; φ r is the reliability parameter.

[0035] Furthermore, the training process of the power cyber-physical system cascading failure model is as follows:

[0036] According to the power node status in the power grid and the power grid-communication network coupling relationship, the communication node status and the power grid observable domain are acquired.

[0037] The line working state of the power grid is determined according to the communication node state and the observable domain of the power grid, and the power grid flow distribution in the power information-physical system cascading failure model is updated according to the line load of the power grid lines under different working states.

[0038] Further, judging the line working state of the power grid according to the communication node state and the power grid observable domain, and updating the power grid flow distribution in the power cyber-physical system cascading failure model according to the line load of the power grid under different working states, includes:

[0039] It is determined whether the power nodes at both ends of each line of the corresponding power grid can be observed by the communication node according to the power grid observable domain.

[0040] The acquired load of the power lines in the power grid is detected. If it is detected that only unobservable line overload exists, the corresponding unobservable line is cut off, and the grid flow distribution in the power information-physical system cascading failure model is updated with the result after cutting off.

[0041] If there is an observable line overload, the power grid power flow distribution in the power cyber-physical system cascading failure model is updated.

[0042] Furthermore, the topological model is:

[0043]

[0044] Among them, A P is the power grid adjacency matrix, A I is the communication network adjacency matrix, A P,I is the correlation matrix of the power grid-communication network energy supply relationship and the control-forwarding mapping relationship, It is the correlation matrix of the power grid-communication network monitoring coupling relationship.

[0045] The establishing of a power grid-communication network coupling relationship according to a topology model between the power grid and the communication network includes:

[0046] According to the topology model, a power grid-communication network coupling relationship is established with the node with the largest node degree in the communication network as the control center. The power grid-communication network coupling relationship includes a power grid-communication network energy supply relationship, a control-forwarding mapping relationship and a power grid-communication network monitoring coupling relationship.

[0047] Another embodiment of the present invention provides a power cyber-physical system configuration device, including:

[0048] A structure construction module is used to construct a structure corresponding to the power information-physical system including a logic control network, a data forwarding network and a power network based on a software-defined optical network.

[0049] The model building module is used to analyze the dependency between the logic control network and the data forwarding network through the topological model between the power grid and the communication network, and to establish a cascading failure model of the power information physical system according to the structure of the power information physical system and the dependency.

[0050] The power flow updating module is used to train the power information-physical system cascading failure model with a preset objective function to update the power grid power flow distribution in the power information-physical system cascading failure model.

[0051] The network configuration module is used to calculate the system load loss rate according to the power grid flow distribution of the trained power information-physical system cascading failure model, and determine the network configuration of the power information-physical system according to the load loss rate.

[0052] Another embodiment of the present invention provides a computer device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the power information-physical system configuration method as described above when executing the computer program.

[0053] Yet another embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein when a device where the computer-readable storage medium is located executes the computer program, the method for configuring the electric power information-physical system as described above is implemented.

[0054] Compared with the prior art, the embodiments of the present invention have the following advantages:

[0055] (1) SDON-based CPPS can achieve flexible configuration and scheduling of optical network resources through virtualized management of network resources, thus improving the response speed and adaptability of the CPPS system;

[0056] (2) The logical control network and data forwarding network established based on SDON can enable CPPS to easily expand the network scale and functions, facilitate the integration of new equipment and networks, reduce the risk of network congestion, and improve the stability of the CPPS system. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 A flowchart of the steps of the power information physical system configuration method provided by an embodiment of the present invention;

[0058] Figure 2 A schematic diagram of a three-layer CPPS model based on SDON optimization provided in an embodiment of the present invention;

[0059] Figure 3A structural block diagram of a power information-physical system configuration device provided in an embodiment of the present invention;

[0060] Figure 4 A structural diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] In the description of this application, the terms "first", "second", "third", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", etc. may explicitly or implicitly include one or more of the feature. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0063] In the description of the present application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two elements. The terms "vertical", "horizontal", "left", "right", "upper", "lower" and similar expressions used herein are only for illustrative purposes, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0064] In the description of this application, it should be noted that, unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as those commonly understood by those skilled in the art. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood by specific circumstances.

[0065] An embodiment of the present invention provides a method for configuring an electric power cyber-physical system. For details, see Figure 1 and Figure 2 , Figure 1 FIG. 1 is a flowchart showing a method for configuring an electric power information-physical system in one embodiment of the present invention. Figure 2 A schematic diagram of a CPPS three-layer model based on SDON optimization provided in an embodiment of the present invention includes steps S11 to S14:

[0066] Step S11, constructing a structure corresponding to a power information-physical system including a logic control network, a data forwarding network and a power network based on a software-defined optical network.

[0067] The power cyber-physical system (CPPS) is a new system that integrates power system and information technology. It realizes the intelligence, efficiency, safety and reliability of power system through advanced information and communication technology.

[0068] In traditional power cyber-physical systems (CPPS), a two-layer architecture (communication network and power network) is usually adopted. The two layers of networks are functionally independent, and the mutual influence of faults between the communication network and the power network is low, resulting in poor robustness and flexibility of the system when dealing with large-scale faults or multi-point faults, and the inability to flexibly cope with complex network environments. Therefore, the present invention introduces "Software Defined Optical Network (SDON)", which separates the control function from the forwarding function by dividing the CPPS into three layers: a logical control network, a data forwarding network, and a power network, making the system more flexible and scalable. Compared with traditional methods, the CPPS under the SDON framework can dynamically adjust the network configuration through a centralized controller, thereby improving the ability to cope with complex faults.

[0069] Step S12, analyzing the dependency relationship between the logic control network and the data forwarding network through the topology model between the power grid and the communication network, and establishing a cascading failure model of the power cyber-physical system according to the structure of the power cyber-physical system and the dependency relationship.

[0070] The power grid-communication network coupling relationship is established according to the topological model between the power grid and the communication network, where the communication network is the logic control network and the data forwarding network. The topological model is:

[0071]

[0072] Among them, A P is the power grid adjacency matrix, A I is the communication network adjacency matrix, A P,I is the correlation matrix of the power grid-communication network energy supply relationship and the control-forwarding mapping relationship, It is the correlation matrix of the power grid-communication network monitoring coupling relationship.

[0073] The power grid-communication network coupling relationship is established based on the topological model between the power grid and the communication network, specifically:

[0074] According to the topological model, the node with the largest node degree in the communication network is used as the control center to establish a power grid-communication network coupling relationship, wherein the power grid-communication network coupling relationship includes a power grid-communication network energy supply relationship, a control-forwarding mapping relationship, and a power grid-communication network monitoring coupling relationship.

[0075] After obtaining the power grid-communication network coupling relationship, the dependency relationship between the logic control network and the data forwarding network is obtained according to the power grid-communication network coupling relationship analysis, where the network dependency of the data forwarding node cn on the logic node ln is:

[0076]

[0077] Among them, cn i is the data forwarding node i,ln j is the logical point j, Path L (cn i ,d) is the data forwarding node cn i The set of logical nodes on the path to controller d;

[0078] The physical dependency of the logical node ln on the data forwarding node cn is:

[0079]

[0080] Among them, Path c (ln j ,d) is the logical node ln j The set of data forwarding nodes on the path to controller d.

[0081] Step S13: training the power cyber-physical system cascading failure model with a preset objective function to update the power grid power flow distribution in the power cyber-physical system cascading failure model.

[0082] With the goal of minimizing the energy consumption of the logic control network during system operation, and with the constraints of link congestion conditions, flow conservation constraints, information flow unidirectional constraints, and power grid constraints, the cascading failure model of the power cyber-physical system is trained, where the objective function is:

[0083]

[0084] Where ψ is the total number of information flows, is the information flow state of node i, N lc A collection of logical control network nodes.

[0085] Traditional CPPS communication network configurations usually use fixed paths and lack a global optimal configuration solution for multiple fault scenarios, which makes the communication link easily paralyzed in the event of a single point failure or network congestion, and reduces the communication efficiency and reliability of the system. The present invention proposes an optimal configuration strategy for the logical control network. When a link fails or a fault occurs, the backup path can quickly take over the communication task to ensure the reliable transmission of control commands. Compared with traditional random generation or fixed configurations, the optimal logical link configuration solution of the present invention can find the configuration with the lowest energy consumption and the highest node survival rate through simulation experiments, greatly improving the survivability of the system in multiple fault scenarios.

[0086] Set constraints, including link congestion conditions, flow conservation constraints, information flow unidirectional constraints, and power grid constraints. The constraints are as follows:

[0087] The link congestion condition is constrained as follows:

[0088]

[0089] in, is whether the information flow of node k is blocked, F k is the set of links from logical control node k to the control center, c ij is the number of channels occupied by the data forwarding link (i, j), c ji is the number of channels occupied by the data forwarding link (j,i), W is the total number of channels carried by all optical fibers, w i,j is the total number of channels carried by the optical fiber link (i, j);

[0090] The flow conservation constraint is:

[0091]

[0092] Among them, E k is the set of logical control network links; (i, j) is the link between the source node and the destination node; (j, i) is the link between the destination node and the source node; f ij is through source node n s To destination node n d The information flow of the link (i, j) between them; f ji Through the destination node n d To source node n s The information flow of the link (j,i) between them;

[0093] The unidirectionality constraint of information flow is:

[0094]

[0095] Among them, r is the logical control network node; is the information flow of link (i, j) controlled by node r; is the information flow of link (j,i) controlled by node r;

[0096] The power grid constraints are:

[0097]

[0098] Among them, R is the set of middle nodes in the logic control network; S r is the ROADM set in the data forwarding network of node r; φ r is the reliability parameter.

[0099] Specifically, the training process of the cascading failure model of the power cyber-physical system according to the objective function and constraints is as follows:

[0100] According to the power node status in the power grid and the power grid-communication network coupling relationship, the communication node status and the power grid observable domain are obtained. Among them, according to the power node status, the power grid-communication network energy supply relationship and the control-forwarding mapping relationship, the communication node status in the communication network is determined, and the communication node status includes an available state and an unavailable state.

[0101] According to the monitoring coupling relationship between the power grid and the communication network, the measurement domain of the synchronous phasor measurement unit of the communication node whose communication node status is available is determined, and the measurement domain is used as the observable domain of the power grid.

[0102] The working state of the power grid lines is determined according to the communication node status and the observable domain of the power grid. The power grid flow distribution in the cascading failure model of the power information-physical system is updated according to the line load of the power grid lines under different working states.

[0103] The specific power grid flow distribution update process is:

[0104] According to the observable domain of the power grid, it is determined whether the power nodes at both ends of each line of the corresponding power grid can be observed by the communication node. If so, the working state of the line is observable; if not, the working state of the line is unobservable.

[0105] The acquired load of the power lines in the power grid is detected and judged. If it is detected that only unobservable lines are overloaded, the overloaded unobservable lines are cut off, and the power grid flow distribution in the cascading failure model of the power information-physical system is updated with the result after the cut-off.

[0106] If there is an observable line overload, the optimal power flow is triggered and the grid power flow distribution in the power cyber-physical system cascading failure model is updated.

[0107] Step S14, calculating the load loss rate of the system according to the trained power grid flow distribution of the power cyber-physical system cascading failure model, and determining the optimal network configuration of the power cyber-physical system according to the load loss rate.

[0108] This embodiment verifies the impact of the number of logical links on the performance of the power cyber-physical system (CPPS) under a single fault condition through comparative experiments. The experiment uses the number of logical links as a variable (x-axis) and observes the changing trends of performance indicators such as "system load loss rate", "information flow control success rate" and "node survival rate" (y-axis).

[0109] The control experiment was set up as follows:

[0110] Control group: Set different numbers of logical links, simulate a single node failure, and analyze the changes in various performance indicators.

[0111] Experimental results: The results show that as the number of logical links increases, the system load loss under a single fault is significantly reduced, the information flow control success rate is improved, and the node survival rate is increased. Therefore, when the logical link configuration is sufficient, the system's robustness under a single fault is significantly improved.

[0112] This embodiment verifies the performance of the logical links of the optimal network configuration obtained by the cascading failure model of the power information-physical system of this solution on the CPPS under multiple fault conditions. The experiment compares the system performance under the two modes of "randomly generated logical links" and "optimally configured logical links":

[0113] Control group 1: randomly generated logical links;

[0114] Control group 2: logical links with optimal configuration are used.

[0115] The system's "load loss rate" was measured under the condition of an increasing number of vulnerable communication-power node failures. The experimental results show that the logical link scheme of the optimal network configuration obtained by this scheme significantly reduces the load loss rate, and the robustness and survivability of the system are enhanced.

[0116] To further verify the key role of the logic control network in CPPS, two groups of controls were set up in the experiment:

[0117] Control group 1: a three-layer CPPS model with a logic control network under the optimal network configuration;

[0118] Control group 2: traditional two-layer CPPS model.

[0119] By setting the number of vulnerable communication-power node failures as a variable, the experiment measured the "communication node survival rate" and "system load loss rate" respectively. The experimental results show that under high traffic load or network failure conditions, the traditional two-layer model exhibits a high probability of information flow blocking and poor network survivability, while the three-layer model under the optimal configuration (including the logic control network) significantly improves the survival rate of communication nodes and reduces the amount of load loss.

[0120] The above experiments verify the significant advantages of the three-layer CPPS model and its optimization strategy proposed in this invention under various fault conditions:

[0121] (1) Increasing the number of logical links can effectively reduce the system load loss under a single fault and improve the success rate of information flow control and node survival rate.

[0122] (2) The optimal network configuration logical links obtained by this scheme show higher robustness under multiple fault conditions and effectively reduce the amount of load loss.

[0123] (3) The introduction of the logic control network greatly enhances the survivability of the CPPS system, especially showing obvious advantages under high load and multiple fault conditions.

[0124] The traditional CPPS model focuses on the prevention and control of fault propagation at the level of the power grid or communication network alone, with little consideration of the relationship and mutual influence between the two, and it is difficult to effectively deal with cascading failures (i.e., the phenomenon of faults propagating from one layer to another). The power information-physical system configuration method of the present invention proposes a cascading fault propagation model based on SDON, clarifies the interdependence between the data forwarding network and the logic control network, and can conduct in-depth analysis and control of cascading failures. Compared with traditional methods, the control strategy of the present invention can effectively control the path and scope of fault propagation by optimizing network configuration and optimal path selection, thereby improving the robustness of the system in the case of multi-layer faults.

[0125] In addition, the traditional method has a long response time for fault recovery, especially when dealing with multi-point faults, which requires a lot of manual intervention, resulting in low recovery efficiency and difficulty in dynamically adjusting network configuration. The system proposed in the present invention can dynamically manage network resources and achieve rapid and automated recovery through the centrally controlled SDON architecture, greatly reducing the need for manual operation. The system can automatically select the optimal recovery strategy based on the fault propagation path and the current network status, greatly improving the recovery speed and flexibility while ensuring the stable operation of the system.

[0126] The embodiment of the present invention further provides a power information-physical system configuration device, which is used to execute the power information-physical system configuration method as described above. Figure 3 This is a structural block diagram of a power information-physical system configuration device according to an embodiment of the present invention, wherein the device comprises:

[0127] The structure construction module 21 is used to construct a structure corresponding to the power information-physical system including a logic control network, a data forwarding network and a power network based on the software-defined optical network.

[0128] The model building module 22 is used to analyze the dependency between the logic control network and the data forwarding network through the topological model between the power grid and the communication network, and establish a cascading failure model of the power information physical system according to the structure of the power information physical system and the dependency.

[0129] The power flow updating module 23 is used to train the power cyber-physical system cascading failure model with a preset objective function to update the power grid power flow distribution in the power cyber-physical system cascading failure model.

[0130] The network configuration module 24 is used to calculate the system load loss rate according to the trained power grid flow distribution of the power cyber-physical system cascading failure model, and determine the network configuration of the power cyber-physical system according to the load loss rate.

[0131] The technical features and technical effects of the device proposed in the embodiment of the present invention are the same as those of the method proposed in the embodiment of the present invention, and are not described in detail here. Each module in the above device can be implemented in whole or in part by software, hardware, and a combination thereof. Each of the above modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0132] An embodiment of the present invention also provides a computer-readable storage medium, which includes a stored computer program; wherein, when the computer program is running, it controls the device where the computer-readable storage medium is located to execute the power information-physical system configuration method as described above.

[0133] The embodiment of the present invention further provides a computer device, Figure 4 A structural block diagram of a preferred embodiment of a computer device provided by the present invention, wherein the computer device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the above-mentioned power information-physical system configuration method when executing the computer program.

[0134] Preferably, the computer program can be divided into one or more modules / units (such as computer program 1, computer program 2, ...), and the one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units can be a series of computer program instruction segments that can complete specific functions, and the instruction segments are used to describe the execution process of the computer program in the computer device.

[0135] The processor may be a central processing unit (CPU), or other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor. The processor is the control center of the computer device, and various parts of the computer device are connected using various interfaces and lines.

[0136] The memory mainly includes a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function, etc., and the data storage area can store related data, etc. In addition, the memory can be a high-speed random access memory, or a non-volatile memory, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, and a flash card (Flash Card), etc., or the memory can also be other volatile solid-state storage devices.

[0137] It should be noted that the above-mentioned computer device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that Figure 4 The structural block diagram is merely an example of a computer device and does not constitute a limitation of the computer device, and may include more or less components than shown in the figure, or combine certain components, or different components.

[0138] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for configuring an electric power information-physical system, characterized in that: include: Based on software-defined optical networks, the corresponding structure of the power information-physical system including the logic control network, data forwarding network and power grid is constructed; Analyze the dependency between the logic control network and the data forwarding network through a topology model between the power grid and the communication network, and establish a cascading failure model of the power information-physical system according to the structure of the power information-physical system and the dependency; Training the electric power cyber-physical system cascading failure model with a preset objective function to update the power grid power flow distribution in the electric power cyber-physical system cascading failure model; The load loss rate of the system is calculated according to the power grid flow distribution of the trained power information-physical system cascading failure model, and the network configuration of the power information-physical system is determined according to the load loss rate.

2. The method for configuring an electric power information-physical system according to claim 1, wherein: The analyzing the dependency relationship between the logic control network and the data forwarding network through the topology model between the power network and the communication network includes: Establishing the power grid-communication network coupling relationship according to the topological model between the power grid and the communication network; The dependency relationship between the logic control network and the data forwarding network is obtained by analyzing the coupling relationship between the power grid and the communication network, wherein the network dependency of the data forwarding node cn on the logic node ln is: Among them, cn i is the data forwarding node i,ln j is the logical point j, Path L (cn i ,d) is the data forwarding node cn i The set of logical nodes on the path to controller d; The physical dependency of the logical node ln on the data forwarding node cn is: Among them, Path c (ln j ,d) is the logical node ln j The set of data forwarding nodes on the path to controller d.

3. The method for configuring an electric power information-physical system according to claim 1, wherein: The training of the electric power cyber-physical system cascading failure model with a preset objective function includes: With the goal of minimizing the energy consumption of the logic control network during system operation, and with the link congestion condition constraints, flow conservation constraints, information flow unidirectional constraints and power grid constraints as constraints, the cascading failure model of the power information-physical system is trained, wherein the objective function is: Where ψ is the total number of information flows, is the information flow state of node i, N lc A collection of logical control network nodes.

4. The method for configuring an electric power information-physical system according to claim 3, wherein: The link congestion condition constraint is: in, is whether the information flow of node k is blocked, F k is the set of links from logical control node k to the control center, c ij is the number of channels occupied by the data forwarding link (i, j), c ji is the number of channels occupied by the data forwarding link (j,i), W is the total number of channels carried by all optical fibers, w i,j is the total number of channels carried by the optical fiber link (i, j); The flow conservation constraint is: Among them, E k is the set of logical control network links; (i, j) is the link between the source node and the destination node; (j, i) is the link between the destination node and the source node; f ij is through source node n s To destination node n d The information flow of the link (i, j) between them; f ji Through the destination node n d To source node n s The information flow of the link (j,i) between them; The unidirectionality constraint of information flow is: Among them, r is the logical control network node; is the information flow of link (i, j) controlled by node r; is the information flow of link (j,i) controlled by node r; The power grid constraints are: Among them, R is the set of middle nodes in the logic control network; S r is the ROADM set in the data forwarding network of node r; φ r is the reliability parameter.

5. The method for configuring an electric power cyber-physical system according to claim 2, wherein: The training process of the power cyber-physical system cascading failure model is as follows: Acquire the communication node status and the power grid observable domain according to the power node status in the power grid and the power grid-communication network coupling relationship; The line working state of the power grid is determined according to the communication node state and the observable domain of the power grid, and the power grid flow distribution in the power information-physical system cascading failure model is updated according to the line load of the power grid lines under different working states.

6. The method for configuring an electric power cyber-physical system according to claim 5, wherein: The determining the line working state of the power grid according to the communication node state and the power grid observable domain, and updating the power grid flow distribution in the power information-physical system cascading failure model according to the line load of the power grid under different working states, comprises: Determine whether the power nodes at both ends of each line of the corresponding power grid can be observed by the communication node according to the power grid observable domain; Detecting the acquired load of the power lines in the power grid, and if it is detected that only the unobservable lines are overloaded, cutting off the corresponding unobservable lines, and updating the power grid flow distribution in the power information-physical system cascading failure model with the result after cutting off; If there is an observable line overload, the power grid power flow distribution in the power cyber-physical system cascading failure model is updated.

7. The method for configuring an electric power cyber-physical system according to claim 2, wherein: The topological model is: Among them, A P is the power grid adjacency matrix, A I is the communication network adjacency matrix, A P,I is the correlation matrix of the power grid-communication network energy supply relationship and the control-forwarding mapping relationship, A correlation matrix for monitoring coupling relationship between power grid and communication network; The establishing of a power grid-communication network coupling relationship according to a topology model between the power grid and the communication network includes: According to the topology model, a power grid-communication network coupling relationship is established with the node with the largest node degree in the communication network as the control center. The power grid-communication network coupling relationship includes a power grid-communication network energy supply relationship, a control-forwarding mapping relationship and a power grid-communication network monitoring coupling relationship.

8. An electric power information-physical system configuration device, characterized in that: include: A structure construction module, used to construct a structure corresponding to a power information-physical system including a logic control network, a data forwarding network and a power network based on a software-defined optical network; A model building module, used to analyze the dependency relationship between the logic control network and the data forwarding network through a topological model between the power grid and the communication network, and to establish a cascading failure model of the power information-physical system according to the structure of the power information-physical system and the dependency relationship; A power flow update module, used to train the power information-physical system cascading failure model with a preset objective function to update the power grid power flow distribution in the power information-physical system cascading failure model; The network configuration module is used to calculate the system load loss rate according to the power grid flow distribution of the trained power information-physical system cascading failure model, and determine the network configuration of the power information-physical system according to the load loss rate.

9. A computer device, characterized in that: It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements the power information physical system configuration method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer readable storage medium stores There is a computer program, wherein when the device where the computer-readable storage medium is located executes the computer program, Implement the power information-physical system configuration method as described in any one of claims 1 to 7.

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