Method and device for determining operation stability parameters of electric power communication system

Abstract

The invention discloses a method and a device for determining operation stability parameters of an electric power communication system. The method comprises the following steps: acquiring electric power data, communication data and a working condition scene of an electric power communication system; determining power generation parameters respectively corresponding to the plurality of power generation nodes according to the power data; determining a communication topological structure corresponding to the target communication system according to the communication data; determining a plurality of cooperative operation relationships respectively corresponding to the plurality of communication nodes; determining a system topological structure corresponding to the electric power communication system according to the power generation parameters and the communication topological structure corresponding to the plurality of power generation nodes respectively and the plurality of cooperative operation relationships corresponding to the plurality of communication nodes respectively; and according to the working condition scene and the system topology structure, determining operation stability parameters corresponding to the electric power communication system. According to the method and the device, the technical problem that the operation stability parameters of the electric power communication system are not accurately determined when the operation stability parameters of the electric power communication system are determined in related technologies is solved.

Description

Technical Field

[0001] This invention relates to the field of power communication systems, and more specifically, to a method and apparatus for determining the operating stability parameters of a power communication system. Background Technology

[0002] In related technologies, to understand the operating status of a power communication system, it is necessary to determine the system's operational stability parameters to ensure timely detection of potential fault risks. However, in these technologies, there is a technical problem of inaccurate determination of the operational stability parameters of the power communication system.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a method and apparatus for determining the operating stability parameters of a power communication system, thereby at least solving the technical problem in the related art where the determination of the operating stability parameters of a power communication system is inaccurate.

[0005] According to one aspect of the present invention, a method for determining the operational stability parameters of a power communication system is provided, comprising: acquiring power data, communication data, and operating conditions of the power communication system, wherein the power communication system includes a target power system and a target communication system; determining generation parameters corresponding to multiple generation nodes based on the power data, wherein the target power system includes the multiple generation nodes; determining a communication topology corresponding to the target communication system based on the communication data; determining multiple cooperative operating relationships corresponding to the multiple communication nodes, wherein the multiple cooperative operating relationships represent the cooperative operating states between the corresponding communication nodes and the multiple generation nodes, and the communication topology includes the multiple communication nodes; determining a system topology corresponding to the power communication system based on the generation parameters corresponding to the multiple generation nodes, the communication topology, and the multiple cooperative operating relationships corresponding to the multiple communication nodes; and determining operational stability parameters corresponding to the power communication system based on the operating conditions and the system topology.

[0006] Optionally, determining the operational stability parameters corresponding to the power communication system based on the operating scenario and the system topology includes: determining the heavy load characteristic parameters corresponding to the target power system under the operating scenario, wherein the heavy load characteristic parameters are used to reflect the distribution characteristics of heavy load lines in the target power system, and the heavy load lines are transmission lines in the target power system whose load index is greater than the load threshold; determining the first power failure node corresponding to the target power system based on the heavy load characteristic parameters, wherein the first power failure node is a power consumption node in the target power system that has lost power supply; determining, based on the system topology, whether there is a node determination result among the plurality of communication nodes that has a load connection relationship with the first power failure node; and determining the operational stability parameters corresponding to the power communication system based on the node determination result and the system topology.

[0007] Optionally, determining the operational stability parameters corresponding to the power communication system based on the node determination result and the system topology includes: if the node determination result indicates that at least one of the plurality of communication nodes has a load connection relationship with the first power-out node, determining a second power-out node from the plurality of communication nodes, wherein the second power-out node is a communication node among the plurality of communication nodes that has lost power supply; performing an update operation on the system topology based on the second power-out node to obtain an updated system topology, wherein the update operation includes any one of the following: deleting the faulty node; and determining the operational stability parameters corresponding to the power communication system based on the updated system topology.

[0008] Optionally, determining the second power-out node from the plurality of communication nodes includes: determining an associated node from the plurality of communication nodes, wherein the associated node is a communication node among the plurality of communication nodes that has a load connection relationship with the first power-out node; determining a backup power supply corresponding to the target communication system; determining backup power supply characteristics corresponding to the backup power supply; and determining the second power-out node from the plurality of communication nodes based on the backup power supply characteristics.

[0009] Optionally, determining the operating stability parameters corresponding to the power communication system based on the updated system topology includes: dividing the power communication system into multiple subsystems based on the updated system topology; determining the load characteristic parameters corresponding to each of the multiple subsystems; and determining the operating stability parameters corresponding to the power communication system based on the load characteristic parameters corresponding to each of the multiple subsystems.

[0010] Optionally, determining the communication topology corresponding to the target communication system based on the communication data includes: when the communication data includes communication request data, communication access data, and communication scheduling data, determining a first topology corresponding to the target communication system based on the communication request data; determining a second topology corresponding to the target communication system based on the communication access data; determining a third topology corresponding to the target communication system based on the communication scheduling data; and determining the communication topology corresponding to the target communication system based on the first topology, the second topology, and the third topology.

[0011] Optionally, determining the multiple collaborative operation relationships corresponding to the multiple communication nodes includes: for any one of the multiple communication nodes, determining the multiple collaborative operation relationships corresponding to the any one communication node in the following manner: determining the power consumption nodes corresponding to the multiple power generation nodes; determining the load association relationship between the any one communication node and the multiple power consumption nodes, wherein the multiple power consumption nodes correspond one-to-one with the multiple power generation nodes; and determining the multiple collaborative operation relationships corresponding to the any one communication node based on the load association relationship between the any one communication node and the multiple power consumption nodes.

[0012] According to one aspect of the present invention, an apparatus for determining the operational stability parameters of a power communication system is provided, comprising: an acquisition module for acquiring power data, communication data, and operating conditions of the power communication system, wherein the power communication system includes a target power system and a target communication system; a first determination module for determining power generation parameters corresponding to multiple power generation nodes based on the power data, wherein the target power system includes the multiple power generation nodes; a second determination module for determining a communication topology corresponding to the target communication system based on the communication data; a third determination module for determining multiple cooperative operation relationships corresponding to the multiple communication nodes, wherein the multiple cooperative operation relationships represent the cooperative operation states between the corresponding communication nodes and the multiple power generation nodes, and the communication topology includes the multiple communication nodes; a fourth determination module for determining a system topology corresponding to the power communication system based on the power generation parameters corresponding to the multiple power generation nodes, the communication topology, and the multiple cooperative operation relationships corresponding to the multiple communication nodes; and a fifth determination module for determining operational stability parameters corresponding to the power communication system based on the operating conditions and the system topology.

[0013] According to one aspect of the present invention, an electronic device is provided, comprising: a processor; and a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method for determining the operating stability parameters of a power communication system as described in any of the preceding claims.

[0014] According to one aspect of the present invention, a computer-readable storage medium is provided, comprising: when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enabling the electronic device to perform the method for determining the operating stability parameters of a power communication system as described above.

[0015] In this embodiment of the invention, power data, communication data, and operating conditions of a power communication system are acquired. The power communication system includes a target power system and a target communication system. Based on the power data, power generation parameters corresponding to multiple power generation nodes are determined. The target power system includes multiple power generation nodes. Based on the communication data, a communication topology corresponding to the target communication system is determined. Multiple collaborative operation relationships corresponding to multiple communication nodes are determined. These relationships represent the collaborative operation states between the corresponding communication nodes and the multiple power generation nodes. The communication topology includes multiple communication nodes. Based on the power generation parameters corresponding to the multiple power generation nodes, the communication topology, and the multiple collaborative operation relationships corresponding to the multiple communication nodes, a system topology corresponding to the power communication system is determined. Based on the operating conditions and the system topology, stable operating parameters corresponding to the power communication system are determined. By acquiring power data, communication data, and operating conditions from the power communication system, and determining the power generation parameters of multiple power generation nodes based on the power data, the power generation capacity and operating characteristics of the target power system can be accurately characterized. The communication topology of the target communication system can be determined based on the communication data, clearly showing the connection relationships and distribution of multiple communication nodes. On this basis, the collaborative operation relationship between multiple communication nodes and multiple power generation nodes can be determined, clarifying the interaction and cooperation status between each node. Thus, the system topology determined by comprehensively considering power generation parameters, communication topology, and collaborative operation relationships can fully reflect the energy supply characteristics of the power side and the signal transmission linkage characteristics of the communication side. Furthermore, based on the operating conditions and system topology, the operating stability parameters of the power communication system can be accurately determined, thereby solving the technical problem of inaccurate determination of the operating stability parameters of the power communication system in related technologies. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0017] Figure 1 This is a flowchart of a method for determining the operating stability parameters of a power communication system according to an embodiment of the present invention;

[0018] Figure 2 This is a schematic diagram of the power grid-communication network coupling relationship in an optional embodiment of the present invention;

[0019] Figure 3 This is a schematic diagram of a communication network model for extreme event scenario analysis in an optional embodiment of the present invention;

[0020] Figure 4 This is a schematic diagram of a power grid-communication network coupling structure in an optional embodiment of the present invention;

[0021] Figure 5 This is a schematic diagram of the simulation process of the target power system in an optional embodiment of the present invention;

[0022] Figure 6 This is a schematic diagram of the simulation process of a communication network based on backup power configuration and communication capacity constraints in an optional embodiment of the present invention. Figure 7 This is a schematic diagram of the joint simulation structure of the power grid-communication network coupling model in an optional embodiment of the present invention;

[0023] Figure 8 This is a schematic diagram of the joint simulation process of the power grid-communication network coupling model in an optional embodiment of the present invention;

[0024] Figure 9 This is a schematic diagram illustrating the change in the number of users over time in an optional embodiment of the present invention;

[0025] Figure 10 This is a bar chart showing the number of normal communication users and interrupted users in an optional embodiment of the present invention;

[0026] Figure 11 This is a schematic diagram illustrating the dynamic changes in the availability of communication services in an optional embodiment of the present invention;

[0027] Figure 12 This is a schematic diagram illustrating the dynamic changes in the fault range in an optional embodiment of the present invention;

[0028] Figure 13 This is a structural block diagram of a device for determining the operating stability parameters of a power communication system according to an embodiment of the present invention. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0031] Example 1

[0032] According to an embodiment of the present invention, an embodiment of a method for determining the operating stability parameters of a power communication system is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0033] Figure 1 This is a flowchart of a method for determining the operating stability parameters of a power communication system according to an embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps:

[0034] S102, acquire power data, communication data and operating conditions of the power communication system, wherein the power communication system includes the target power system and the target communication system.

[0035] In step S102 of this application, power data, communication data, and operating conditions of the power communication system are obtained.

[0036] This involves a power communication system, which is an integrated system that combines power production, transmission, dispatch and communication services, including a target power system (such as a power grid) and a target communication system (such as a communication network).

[0037] This involves power data, which is a collection of various data reflecting the operating status, energy supply and transmission characteristics of the target power system. This includes, but is not limited to, active / reactive power output data of generators, load index of transmission lines, bus voltage and phase angle data, load demand data of power consumption nodes (active / reactive load vector), transmission line capacity limitation data, etc. It is the core basis for characterizing the power generation capacity, operating characteristics and fault status of the power system.

[0038] This involves communication data, which is a collection of various data describing the operating status, connection relationships, and service requirements of the target communication system. The core data includes communication request data, communication access data, and communication scheduling data, and may also include data such as communication node connection relationships, communication capacity constraints, and backup power configuration.

[0039] This involves operating scenarios, which are the specific environments and conditions under which the power communication system operates, including but not limited to normal operating conditions, fault operating conditions, and extreme events.

[0040] This involves the target power system, which is the system in the power communication system responsible for the production, transmission and distribution of power energy, including multiple power generation nodes.

[0041] This involves a target communication system, which is a system used for information transmission and dispatch in the power communication system, including mobile communication networks (mobile users, base stations, mobile switching centers) and fixed telephone networks (fixed-line users, terminal offices, tandem offices), etc.

[0042] By acquiring power data, communication data, and operating conditions from the power communication system, the operating status of the power communication system can be comprehensively reflected, thus providing an analytical basis for determining the subsequent operating stability parameters of the power communication system.

[0043] S104, Based on power data, determine the power generation parameters corresponding to multiple power generation nodes, wherein the target power system includes multiple power generation nodes.

[0044] In step S104 of this application, power generation parameters corresponding to multiple power generation nodes are determined based on power data.

[0045] This involves multiple power generation nodes, which are specific components of the target power system responsible for the production, transmission, and distribution of electrical energy, such as generators and busbars.

[0046] This includes power generation parameters, which are determined based on power data and reflect the operating status of power generation nodes.

[0047] By determining the power generation parameters corresponding to multiple power generation nodes based on power data, the power generation capacity and operating characteristics of each power generation node can be accurately characterized, thus providing an accurate data foundation for subsequent analysis of the overall operating status, energy supply characteristics, and fault status of the power system.

[0048] S106, Based on the communication data, determine the communication topology corresponding to the target communication system.

[0049] In step S106 provided in this application, the communication topology corresponding to the target communication system is determined based on the communication data.

[0050] This involves the communication topology, which is a network structure that describes the connection relationships and distribution between multiple communication nodes in the target communication system. It includes the hierarchical division of communication nodes (such as user layer, access layer, core layer) and the specific connections between different nodes (such as mobile users and base stations, base stations and mobile switching centers, etc.).

[0051] By determining the communication topology of the target communication system based on communication data, the connection relationships and distribution between multiple communication nodes can be clearly presented. This provides an accurate network architecture foundation for subsequent analysis of the overall operational stability of the target communication system, ensuring that the determination of the operational stability parameters of the power communication system is more comprehensive and accurate.

[0052] S108, determine multiple cooperative operation relationships corresponding to multiple communication nodes respectively, wherein the multiple cooperative operation relationships represent the cooperative operation status between the corresponding communication node and multiple power generation nodes respectively, and the communication topology includes multiple communication nodes.

[0053] In step S108 provided in this application, multiple cooperative operation relationships corresponding to multiple communication nodes are determined.

[0054] This involves multiple communication nodes, which are nodes used for information transmission and scheduling in the target communication system, including various communication devices.

[0055] This involves multiple collaborative operation relationships, which are a set of relationships describing the interaction and cooperation between multiple communication nodes and multiple power generation nodes in the power communication system.

[0056] By identifying multiple collaborative operation relationships corresponding to various communication nodes, the interaction and cooperation status between each communication node and the power generation node in the power communication system can be clarified. This accurately reflects the linkage characteristics between the power side and the communication side, ensuring a more comprehensive construction of the system topology and providing a reliable basis for accurately determining the operational stability parameters of the power communication system.

[0057] S110, based on the power generation parameters corresponding to multiple power generation nodes, the communication topology, and the multiple cooperative operation relationships corresponding to multiple communication nodes, determine the system topology corresponding to the power communication system.

[0058] In step S110 of this application, the system topology corresponding to the power communication system is determined based on the power generation parameters corresponding to the multiple power generation nodes, the communication topology, and the multiple cooperative operation relationships corresponding to the multiple communication nodes.

[0059] This involves the system topology, which is an overall network architecture that comprehensively reflects the energy supply characteristics of the power side and the operational linkage characteristics of the communication side after integrating the power generation parameters of multiple power generation nodes, the connection relationship and distribution of communication nodes in the communication topology, and the collaborative operation relationship between multiple communication nodes and power generation nodes.

[0060] By comprehensively considering the power generation parameters of multiple power generation nodes, the connection relationships and distribution of communication nodes in the communication topology, and the collaborative operation relationships between multiple communication nodes and power generation nodes, the corresponding system topology of the power communication system can be determined. This allows for the construction of an overall network architecture that fully reflects the energy supply characteristics of the power side and the operational linkage characteristics of the communication side, thereby enabling a comprehensive understanding of the operating status of the power communication system during operation.

[0061] S112, based on the operating conditions and system topology, determine the corresponding operational stability parameters for the power communication system.

[0062] In step S112 of this application, the operating stability parameters corresponding to the power communication system are determined based on the operating conditions and system topology.

[0063] This includes operational stability parameters, which are used to evaluate the operational stability of power communication systems under specific operating conditions. These parameters include: network efficiency, leakage threshold, power supply reliability, critical load power failure rate, critical load recovery rate, communication service availability, fault range, and backup power utilization rate.

[0064] The system topology determined by integrating power generation parameters, communication topology, and collaborative operation relationships can comprehensively reflect the energy supply characteristics of the power side and the signal transmission linkage characteristics of the communication side. Therefore, based on the operating conditions and system topology, the operating stability parameters of the power communication system can be accurately determined.

[0065] Through the above steps S102-S112, power data, communication data, and operating conditions of the power communication system are acquired. The power communication system includes a target power system and a target communication system. Based on the power data, generation parameters corresponding to multiple generation nodes are determined. The target power system includes multiple generation nodes. Based on the communication data, the communication topology corresponding to the target communication system is determined. Multiple collaborative operation relationships corresponding to multiple communication nodes are determined. These relationships represent the collaborative operation status between the corresponding communication nodes and the multiple generation nodes. The communication topology includes multiple communication nodes. Based on the generation parameters corresponding to the multiple generation nodes, the communication topology, and the multiple collaborative operation relationships, the system topology corresponding to the power communication system is determined. Based on the operating conditions and the system topology, the operational stability parameters corresponding to the power communication system are determined. By acquiring power data, communication data, and operating conditions from the power communication system, and determining the power generation parameters of multiple power generation nodes based on the power data, the power generation capacity and operating characteristics of the target power system can be accurately characterized. The communication topology of the target communication system can be determined based on the communication data, clearly showing the connection relationships and distribution of multiple communication nodes. On this basis, the collaborative operation relationship between multiple communication nodes and multiple power generation nodes can be determined, clarifying the interaction and cooperation status between each node. Thus, the system topology determined by comprehensively considering power generation parameters, communication topology, and collaborative operation relationships can fully reflect the energy supply characteristics of the power side and the signal transmission linkage characteristics of the communication side. Furthermore, based on the operating conditions and system topology, the operating stability parameters of the power communication system can be accurately determined, thereby solving the technical problem of inaccurate determination of the operating stability parameters of the power communication system in related technologies.

[0066] As an optional embodiment, based on the operating scenario and system topology, the operational stability parameters corresponding to the power communication system are determined, including: determining the heavy load characteristic parameters corresponding to the target power system under the operating scenario, wherein the heavy load characteristic parameters are used to reflect the distribution characteristics of heavy load lines in the target power system, and heavy load lines are transmission lines in the target power system whose load index is greater than the load threshold; determining the first power failure node corresponding to the target power system based on the heavy load characteristic parameters, wherein the first power failure node is a power consumption node in the target power system that has lost power supply; determining, based on the system topology, whether there is a node determination result among multiple communication nodes that has a load connection relationship with at least one communication node and the first power failure node; and determining the operational stability parameters corresponding to the power communication system based on the node determination result and the system topology.

[0067] This embodiment describes the specific steps for determining the operational stability parameters corresponding to the power communication system based on the operating conditions and system topology.

[0068] This includes heavy load characteristic parameters, which are parameters used to reflect the distribution characteristics of heavy load lines in the target power system.

[0069] This involves heavy-load lines, which are transmission lines in the target power system whose load index exceeds a preset load threshold. These heavy-load lines have a high risk of overload.

[0070] This involves distribution characteristics, which are used to reflect the spatial location, density, and distribution patterns of heavy-load lines in the target power system and network structure.

[0071] This includes the load index, a quantitative indicator used to measure the relationship between the current load level of a transmission line and its maximum allowable load capacity. The higher the load index, the closer the load of the transmission line is to its limit, and the higher the operational risk.

[0072] This involves a load threshold, which is a pre-set critical value used to determine whether a transmission line is under heavy load. When the load index of a transmission line exceeds this threshold, the line is considered to be under heavy load.

[0073] This involves power transmission lines, which are power lines used to transmit electrical energy.

[0074] This involves the first power failure node, which is the power-consuming node in the target power system that has lost its power supply.

[0075] This involves electricity supply, which is the process by which the power system provides electrical energy to electricity-consuming nodes.

[0076] This involves electricity consumption nodes, which are the various nodes in the power system that consume electrical energy, including various types of electrical equipment.

[0077] This involves load connections, which are the power usage relationships between communication nodes and power-consuming nodes. Through these connections, the equipment in the communication nodes can obtain power from the power-consuming nodes to ensure the normal operation of the communication equipment. This connection is an important manifestation of the coupling between the power system and the communication system, and its state directly affects the power supply reliability of the communication system as well as the path and scope of fault propagation.

[0078] This involves the node determination result, which is the determination result based on the analysis of the system topology to determine whether there is at least one communication node among multiple communication nodes that has a load connection relationship with the first power failure node.

[0079] By identifying the heavy-load characteristic parameters of the target power system under operating conditions to determine the distribution of heavy-load lines, it is possible to accurately locate transmission areas with overload risks. Based on this, the first power failure node that loses power supply can be identified, clarifying the terminal range affected by the fault. Further analysis of the load connection relationship between communication nodes and the first power failure node in the system topology can determine whether the fault propagates through the power-communication coupling path. Finally, by combining the node determination results with the system topology, the operating stability parameters are determined to ensure a comprehensive assessment of the linkage vulnerability and power supply reliability of the power communication system under fault conditions.

[0080] As an optional embodiment, based on the node determination results and the system topology, the operating stability parameters corresponding to the power communication system are determined, including: if the node determination results show that at least one of the multiple communication nodes has a load connection relationship with the first power failure node, a second power failure node is determined from the multiple communication nodes, wherein the second power failure node is the communication node that has lost power supply among the multiple communication nodes; based on the second power failure node, an update operation is performed on the system topology to obtain an updated system topology, wherein the update operation includes any of the following: deleting the faulty node; based on the updated system topology, the operating stability parameters corresponding to the power communication system are determined.

[0081] This embodiment describes the specific steps for determining the operational stability parameters corresponding to the power communication system based on the node determination results and the system topology.

[0082] This involves a second power-loss node, which is a communication node among multiple communication nodes that has lost its power supply.

[0083] This involves an update operation, which is a dynamic adjustment process of the system topology based on the determination of the second power failure node, to ensure that the system topology can accurately reflect the actual connection status and fault impact range of the current power communication system.

[0084] This involves deleting faulty nodes, which is a specific implementation method in the update operation. It involves removing communication nodes that have been confirmed to have lost power supply or have failed to function from the system topology in order to maintain the accuracy and effectiveness of the system topology.

[0085] When the node determination results indicate that there is a load connection between the communication node and the first power failure node, determining the second power failure node can clarify the specific impact range of the power failure in the communication system and ensure the identification of communication nodes that have failed due to power outages. Based on the second power failure node, performing update operations, such as deleting the faulty node, can dynamically adjust the system topology to reflect the actual operating status and avoid interference from the faulty node on system analysis. Based on the updated system topology, determining the operating stability parameters can more accurately assess the stability of the power communication system.

[0086] As an optional embodiment, determining the second power-loss node from multiple communication nodes includes: determining an associated node from multiple communication nodes, wherein the associated node is a communication node among multiple communication nodes that has a load connection relationship with the first power-loss node; determining a backup power supply corresponding to the target communication system; determining the backup power supply characteristics corresponding to the backup power supply; and determining the second power-loss node from multiple communication nodes based on the backup power supply characteristics.

[0087] In this embodiment, the specific steps for determining the second power-depleted node from multiple communication nodes are described.

[0088] This involves associated nodes, which are communication nodes among multiple communication nodes that have a load connection with the first power-loss node. Specifically, these communication nodes rely on power lines or equipment connected to the first power-loss node for their power supply. When the first power-loss node loses its power supply, these associated nodes will also be affected, potentially leading to interruptions or instability in their own power supply.

[0089] This involves backup power supplies, which are backup power devices that can provide power to the target communication system. Their purpose is to ensure that the critical equipment of the communication system can continue to operate and maintain the basic functions of the communication network when the main power supply (such as grid power) is interrupted due to failure or maintenance, thereby improving the reliability and disaster resistance of the communication system.

[0090] This involves the characteristics of backup power supply, which are the properties exhibited by the backup power supply in actual operation, including but not limited to its capacity, continuous power supply time, startup time, and power quality (such as voltage stability and frequency stability). These characteristics determine the ability and scope of power support that the backup power supply can provide when the main power supply fails, and are crucial for assessing the continuous operation capability and reliability of the communication system under fault conditions. For example, the capacity of the backup power supply determines how many communication devices it can support, while the continuous power supply time determines the maximum time the communication system can maintain operation.

[0091] Identifying the associated nodes with load connections to the first power failure node from multiple communication nodes clarifies the scope of communication nodes directly affected by the power failure; determining the backup power supply and its characteristics of the target communication system allows for an assessment of the backup power supply's support capacity in the event of a main power failure; and identifying the second power failure node from among the communication nodes based on the backup power supply characteristics accurately identifies communication nodes that cannot maintain operation even under backup power conditions. This ensures a comprehensive understanding of the actual impact of power failures on the communication system, prevents the escalation of communication interruptions due to insufficient or failed backup power, and enables precise analysis of the propagation path and impact range of power communication system faults.

[0092] As an optional embodiment, determining the operating stability parameters corresponding to the power communication system based on the updated system topology includes: dividing the power communication system into multiple subsystems based on the updated system topology; determining the load characteristic parameters corresponding to each of the multiple subsystems; and determining the operating stability parameters corresponding to the power communication system based on the load characteristic parameters corresponding to each of the multiple subsystems.

[0093] This embodiment describes the specific steps for determining the operational stability parameters corresponding to the power communication system based on the updated system topology.

[0094] This involves multiple subsystems, which are independent components of the power communication system, logically divided according to function, region, or connection relationship based on the updated system topology. Each subsystem has a specific topology and functional characteristics, which facilitates the detailed analysis and evaluation of the power communication system.

[0095] This includes load characteristic parameters, which are used to quantitatively describe the load-related characteristics of each subsystem during operation, such as communication volume, data traffic, and device power consumption. These parameters can reflect the load level and operating pressure status of the subsystem and provide a basis for evaluating system stability.

[0096] Dividing the power communication system into multiple subsystems based on the updated system topology enables refined management and analysis of complex systems, reducing the overall analysis difficulty; determining the load characteristic parameters of each subsystem allows for precise quantification of the operating pressure and load level of each subsystem, providing data support for stability assessment; and determining the operating stability parameters of the power communication system based on these parameters enables accurate assessment of the overall system stability.

[0097] As an optional embodiment, determining the communication topology corresponding to the target communication system based on communication data includes: when the communication data includes communication request data, communication access data, and communication scheduling data, determining a first topology corresponding to the target communication system based on the communication request data; determining a second topology corresponding to the target communication system based on the communication access data; determining a third topology corresponding to the target communication system based on the communication scheduling data; and determining the communication topology corresponding to the target communication system based on the first topology, the second topology, and the third topology.

[0098] This embodiment describes the specific steps for determining the communication topology corresponding to the target communication system based on communication data.

[0099] This includes communication request data, which is generated when a terminal device or node in the target communication system initiates a communication connection. It contains information such as the request initiator, the target receiver, the request type, and a timestamp, and is used to reflect the initiation and distribution of communication needs within the system.

[0100] This includes communication access data, which records the process of a communication node accessing the target communication system. This data includes parameters such as access node identifier, access time, access method (e.g., wired / wireless), and access bandwidth, and is used to describe the physical or logical connection status of communication nodes within the system.

[0101] This includes communication scheduling data, which is used in the target communication system to control the allocation of communication resources and path planning. It includes information such as scheduling strategies, resource allocation results, and scheduling time windows, and is used to reflect the system's dynamic management capability of communication traffic.

[0102] This involves a first topology, which is a topology model built based on communication request data. It focuses on reflecting the logical connection relationship between the initiator and receiver of communication needs within the system and reflects the distribution characteristics of potential communication paths.

[0103] This involves a second topology, which is a topology model built based on communication access data. It mainly describes the actual physical or logical access method of communication nodes in the system and reflects the static connection status between nodes and the network coverage.

[0104] This involves a third topology, which is a topology model built based on communication scheduling data. It focuses on showing the system's dynamic allocation results and path planning schemes for communication resources, reflecting the transmission path and scheduling logic of communication traffic in real-time operation.

[0105] By determining the first topology based on communication request data, the initiation and distribution characteristics of communication demands within the system can be captured; by determining the second topology based on communication access data, the physical or logical connection status of communication nodes can be accurately described; by determining the third topology based on communication scheduling data, the dynamic allocation of communication resources and path planning logic can be reflected; finally, by combining the three topologies, a complete communication topology is determined, which can comprehensively integrate multi-dimensional information such as demand initiation, node connection, and resource scheduling, ensuring a complete characterization and accurate analysis of the topological characteristics of the target communication system.

[0106] As an optional embodiment, determining multiple cooperative operation relationships corresponding to multiple communication nodes includes: for any one of the multiple communication nodes, determining multiple cooperative operation relationships corresponding to that communication node in the following manner: determining power consumption nodes corresponding to multiple power generation nodes; determining load association relationships between any one communication node and multiple power consumption nodes, wherein each power consumption node corresponds one-to-one with a power generation node; and determining multiple cooperative operation relationships corresponding to any one communication node based on the load association relationships between any one communication node and multiple power consumption nodes.

[0107] In this embodiment, specific steps are described to determine multiple cooperative operation relationships corresponding to multiple communication nodes.

[0108] This involves load correlation, which is the connection between any communication node and an electricity consumption node formed due to power transmission or communication control needs, reflecting the degree of mutual influence or dependence between the two at the power load level.

[0109] By first identifying the power-consuming nodes that correspond one-to-one with multiple power generation nodes, the terminal objects of power transmission are clearly defined. Then, by determining the load correlation between any communication node and these power-consuming nodes, the scope and degree of influence of the communication node at the power load level can be accurately captured. Finally, based on this correlation, the collaborative operation relationship is determined, which can ensure that the communication node can achieve dynamic collaborative analysis with the power generation-consumption chain according to the power status of the associated power-consuming nodes, thereby helping to accurately determine the subsequent operation stability parameters of the power communication system.

[0110] Based on the above embodiments and optional embodiments, an optional implementation method is provided, which is described in detail below.

[0111] In related technologies, to understand the operating status of a power communication system, it is necessary to determine the system's operational stability parameters to ensure timely detection of potential fault risks. However, in these technologies, there is a technical problem of inaccurate determination of the operational stability parameters of the power communication system.

[0112] There is currently no effective solution to the above problems.

[0113] In view of this, an optional embodiment of the present invention provides a method for determining the operating stability parameters of a power communication system, which can effectively solve the above-mentioned technical problems.

[0114] Specifically, Figure 2 This is a schematic diagram of the power grid-communication network coupling relationship in an optional embodiment of the present invention, such as... Figure 2 As shown, the operational stability parameters of the power communication system are determined through coupled modeling and co-simulation of the power grid and communication network in response to extreme events. Following the modeling-simulation approach, coupled modeling and co-simulation of the power grid and communication network were carried out, and the resilience evaluation indicators (i.e., operational stability parameters) of the coupled two-network system were determined.

[0115] First, a power grid-communication network coupling model suitable for fault evolution analysis under extreme event scenarios is established. The power grid adopts a fault outage model based on optimal AC power flow, while the communication network adopts a scale-free network model, comprehensively considering factors such as backup power supply and communication capacity. Second, a joint simulation of the power grid-communication network coupling system is conducted, and resilience evaluation indicators suitable for extreme event scenario analysis are determined. Finally, based on a practical example of a power grid and communication network, the effectiveness and practicality of the proposed power grid-communication network coupling model and joint simulation method are verified.

[0116] The following is a detailed description.

[0117] S1, acquire power data, communication data and operating conditions of the power communication system, wherein the power communication system includes the target power system and the target communication system;

[0118] S2, based on power data, determine the power generation parameters corresponding to multiple power generation nodes, wherein the target power system includes multiple power generation nodes;

[0119] Specifically, multiple power generation nodes include multiple generators and multiple buses. The power generation parameters corresponding to each of these nodes can be represented by the power grid model of the target power system, as follows:

[0120]

[0121] in, and They represent the first Active power of the generator and reactive power The cost function, This represents the total number of generators.

[0122] The active and reactive power balance constraints of the power grid model are expressed as follows:

[0123]

[0124]

[0125] in, For active power balance constraints; For reactive power balance constraints; This represents the generator correlation matrix, with dimension 1. , The total number of busbars, This represents the total number of generators. and These represent the generator's active power and reactive power vectors, respectively. and They represent the phase angles respectively. and voltage amplitude Below, the net active and reactive power flowing out of the busbar, excluding the power supplied by the directly connected generator; and These represent the active and reactive power demand vectors of the load on the bus, respectively.

[0126] The capacity constraints for branch inflows and outflows in the power grid model are expressed as follows:

[0127]

[0128]

[0129] in, For branch inflow capacity limitation constraints; Branch outflow capacity limitation constraint; and It can represent apparent power flow, active power, or current; This represents the maximum capacity limit for the branch.

[0130] The operational constraints of the power grid model are expressed as:

[0131]

[0132]

[0133]

[0134]

[0135] in, For the first Voltage phase angle of each power generation node; Indicates the voltage reference phase angle. This represents the set of reference nodes (i.e., multiple power generation nodes). and They represent the first The lower and upper limits of the voltage amplitude of each busbar; and They represent the first The lower and upper limits of the active power output of each generator; and They represent the first The lower and upper limits of the reactive power output of a generator. Indicates ordinal number.

[0136] Based on the above, this power grid model is an AC optimal power flow-based model. That is, when constructing the power grid outage model (i.e., the power grid model itself), an AC optimal power flow-based modeling method is introduced. This method uses AC optimal power flow to characterize the dynamic process of power system outages, more accurately reflecting the actual operating state and revealing the mechanisms of fault evolution and propagation, thereby improving the realism and reliability of the simulation results. Based on this, the aforementioned AC optimal power flow-based power grid outage model is obtained.

[0137] S3, Based on the communication data, determine the communication topology corresponding to the target communication system;

[0138] Optionally, determining the communication topology corresponding to the target communication system based on communication data includes: when the communication data includes communication request data, communication access data, and communication scheduling data, determining a first topology corresponding to the target communication system based on the communication request data; determining a second topology corresponding to the target communication system based on the communication access data; determining a third topology corresponding to the target communication system based on the communication scheduling data; and determining the communication topology corresponding to the target communication system based on the first topology, the second topology, and the third topology.

[0139] Specifically, the communication network (i.e., the target communication system) mainly comprises two subsystems: the mobile communication network and the fixed-line telephone network. The mobile communication network consists of mobile users, base stations, and mobile switching centers, while the fixed-line telephone network consists of fixed-line users, local exchanges, and tandem exchanges. The communication topology can be represented using a communication system diagram model, which includes: based on geographical distribution characteristics, dividing the system into N communication areas and constructing a three-tiered diagram model: the user layer (mobile communication users and fixed-line telephone users, i.e., the first topology), the access layer (base stations and local exchanges, i.e., the second topology), and the core layer (mobile switching centers and tandem exchanges, i.e., the third topology). Therefore, the communication network model (i.e., the communication system diagram model)... , can be represented as:

[0140]

[0141] in, For a set of nodes; It is an edge set; For constraint set.

[0142] Includes user node set Access layer device set and core layer node set , represented as:

[0143]

[0144] Including mobile communication users and fixed-line telephone users, represented as:

[0145]

[0146] in, To indicate the first The first in the region One mobile communication user; For the first The first in the region One landline telephone user; For mobile communication users in the region Quantity; For landline users in the area The quantity.

[0147] Including base stations and local offices, represented as:

[0148]

[0149] in, For the first The first in the region One base station; For the first The first in the region One end point; For base stations in the area Quantity; For the end bureau in the region The quantity.

[0150] Including mobile switching centers and tandem exchanges, represented as:

[0151]

[0152] in, and They represent the first The first mobile switching center and the first One tandem exchange; and These represent the number of mobile switching centers and tandem exchanges, respectively.

[0153] This represents the connection relationships between different nodes, specifically including mobile users and base stations. Fixed-line telephone users and local exchange Base stations and mobile switching centers Terminal and Tandem Offices And the connection between the mobile switching center and the tandem exchange , represented as:

[0154]

[0155] Constraint Set Including base station service capacity constraints Maximum distance constraint for mobile communication users to access base stations Service capacity constraints of the terminal office Traffic constraints of mobile switching centers and the flow constraints of the tandem exchange , represented as:

[0156]

[0157] in:

[0158]

[0159]

[0160]

[0161]

[0162]

[0163] Figure 3 This is a schematic diagram of a communication network model for extreme event scenario analysis in an optional embodiment of the present invention, such as... Figure 3 As shown, the modeling of the communication network focuses on characterizing the service interruption and user loss caused by power outages under extreme disasters. Specifically, a graph model is used to abstract the network topology and service constraints, ignoring unnecessary equipment characteristics and retaining the core elements that affect fault propagation: equipment power supply status, user service availability, and network capacity limitations.

[0164] S4, determine multiple cooperative operation relationships corresponding to multiple communication nodes respectively, wherein the multiple cooperative operation relationships represent the cooperative operation status between the corresponding communication node and multiple power generation nodes respectively, and the communication topology includes multiple communication nodes;

[0165] Optionally, determining multiple collaborative operation relationships corresponding to multiple communication nodes includes: for any one of the multiple communication nodes, determining multiple collaborative operation relationships corresponding to that communication node in the following manner: determining power consumption nodes corresponding to multiple power generation nodes; determining the load association relationship between any one communication node and multiple power consumption nodes, wherein each power consumption node corresponds one-to-one with each of the multiple power generation nodes; and determining multiple collaborative operation relationships corresponding to any one communication node based on the load association relationship between any one communication node and multiple power consumption nodes.

[0166] Specifically, the multiple collaborative operation relationships corresponding to any communication node can be represented by a power grid-communication network coupling network. The power consumption nodes corresponding to the multiple generation nodes can be loads on the bus, and the load parameters of the power consumption nodes can be represented by the active and reactive power demand vectors of the loads on the bus. Load relationships can be obtained through a uniform mapping between the communication network power consumption nodes and the power grid load nodes (i.e., the power consumption nodes corresponding to the multiple generation nodes). For example, in extreme event scenarios, the coupling relationship between the power grid (i.e., the target power system) and the communication network (i.e., the target communication system) becomes increasingly prominent. By identifying the coupling relationship between the two networks, a power grid-communication network coupling model suitable for fault evolution analysis can be established. The coupling between different systems can be divided into four categories: functional coupling, geographical coupling, network coupling, and logical coupling.

[0167] The vulnerability of the power grid-communication network coupled system is mainly affected by functional coupling: under normal conditions, the power grid provides power supply support for the communication network, while the operation of the communication network provides information support for the operation, maintenance and dispatch of the power grid; however, under extreme events, once the power grid experiences a power outage, it will cause the failure of relevant nodes in the communication network, which will in turn trigger a local communication interruption. The communication interruption will weaken the power grid's fault recovery and emergency rescue capabilities, thereby exacerbating the risk of cascading failure.

[0168] Building upon this foundation, the core of power grid-communication network coupling modeling lies in determining how to transform the two originally isolated networks into an interdependent system and clarifying the coupling relationships between nodes across the networks. Considering that communication network nodes depend on power grid supply and that the scale of communication network nodes is larger than that of power grid nodes, the coupling relationship between the power grid and communication network can be summarized as a partial one-to-many coupling. Furthermore, the dependency relationship between nodes in the power grid and communication network can be divided into unidirectional and bidirectional dependencies. Given that communication network nodes depend on power supply, while power grid nodes do not directly depend on the operation of the communication network, the relationship between the two is characterized by communication network nodes unidirectionally depending on some nodes in the power grid. Based on this, a uniform mapping between communication network power consumption nodes and power grid load nodes can be used to establish the node coupling relationship (i.e., the cooperative operation relationship) between the power grid and communication network, thereby forming a power grid-communication network coupling network. Figure 4 This is a schematic diagram of a power grid-communication network coupling structure in an optional embodiment of the present invention, such as... Figure 4 As shown.

[0169] S5. Based on the power generation parameters, communication topology, and multiple cooperative operation relationships corresponding to multiple power generation nodes, determine the system topology corresponding to the power communication system.

[0170] For example, the tight coupling of critical infrastructure in power communication systems makes them susceptible to cross-system failures and cascading failures under extreme events. To address this, the corresponding system topology of power communication systems can be represented by a power grid-communication network coupling model, which includes a power grid model and a communication system graph model. Specifically, the power grid adopts an AC optimal power flow model (i.e., the power grid model), and the communication network adopts a scale-free network model (i.e., the communication system graph model). The power grid-communication network coupling model is established through the analysis of the coupling characteristics of the two networks. Through this coupling, the power grid-communication network coupling model can be applied to extreme event scenarios.

[0171] S6 determines the corresponding operational stability parameters for the power communication system based on the operating conditions and system topology.

[0172] Operational stability parameters are used to evaluate the resilience of the power grid-communication network coupling model (i.e., the model's ability to cope with extreme events). Specifically, the operational stability parameters of the power grid-communication network coupling model can be evaluated from the perspectives of equipment resilience and system operational resilience. Equipment resilience refers to the physical strength of the equipment in the system to withstand damage from extreme events; operational resilience refers to the system's robustness and ability to maintain normal operation under extreme event scenarios.

[0173] To address this, a set of evaluation indicators (i.e., operational stability parameters) is determined based on the network state level, power grid level, and communication network level to accurately quantify the resilience of the power grid-communication network coupling model. The indicator set includes: network efficiency, seepage threshold, power supply reliability, critical load power failure rate, critical load recovery rate, communication service availability, fault range, and backup power utilization rate, as detailed below:

[0174] (1) Based on the network state level:

[0175] 1) Network efficiency E:

[0176] Network efficiency is the average of the sum of the inverses of the distances between all pairs of nodes in a network. It characterizes the ease with which energy or information flows through the network. Network efficiency is used to evaluate a network's response to node deletion or cascading failures and its recovery. The quantitative calculation formula is as follows:

[0177]

[0178] in, Let be the distance between any two distinct nodes in the network. This represents the number of nodes in the network.

[0179] 2) Seepage threshold :

[0180] The percolation threshold is defined as the proportion of nodes in a network that, when randomly removed, degenerate into isolated, disconnected clusters. A higher percolation threshold indicates greater robustness of the network. The quantitative calculation formula is as follows:

[0181]

[0182] in, , The standard deviation of the network degree distribution is the square of the standard deviation. This represents the average degree of network nodes.

[0183] (2) Power grid level:

[0184] 1) Power supply reliability :

[0185] Power supply reliability indicators reflect the power grid's ability to maintain power supply under extreme event scenarios. The quantitative calculation formula is as follows:

[0186]

[0187] in, The duration of power outage for a single load. This represents the total number of power loads. This refers to the total time from the onset of the disaster to the full restoration of power.

[0188] 2) Power failure rate of critical loads Key load recovery rate :

[0189] The critical load power failure rate and critical load recovery rate measure the fault resilience and recovery capability of the power grid. The quantitative calculation formulas for these two indicators are as follows:

[0190]

[0191]

[0192] in, For significant load losses, For important load restoration, This represents the total load.

[0193] (3) Communication network level:

[0194] 1) Communication service availability :

[0195] The availability of communication network services is reflected by the duration of user communication service interruptions. The quantitative calculation formula is as follows:

[0196]

[0197] in, Interruption duration for communication services for a single user The total number of communication users, This refers to the total time from the onset of the disaster to the full restoration of communication services.

[0198] 2) Fault Scope :

[0199] The duration of user communication service interruptions is used to reflect the scope of communication network faults. The quantitative calculation formula is as follows:

[0200]

[0201] in, The duration of a single communication device failure. The total number of communication devices. This refers to the total time from the onset of the disaster to the full restoration of communication services.

[0202] 3) Backup power utilization rate :

[0203] Backup power utilization rate represents the reliability of backup power in a communication network, and the quantitative calculation formula is as follows:

[0204]

[0205] In the formula, The communication network has already used its backup power capacity. This represents the total backup power capacity of the communication network.

[0206] The above indicators are all simple and quantifiable. In the resilience assessment of the power grid-communication network coupling model, the main indicators are network efficiency, service availability and fault range, which reflect the losses of communication users caused by power grid failures and the resulting security consequences.

[0207] Optionally, based on the operating scenario and system topology, the operating stability parameters corresponding to the power communication system are determined, including: determining the heavy load characteristic parameters corresponding to the target power system under the operating scenario, wherein the heavy load characteristic parameters are used to reflect the distribution characteristics of heavy load lines in the target power system, and heavy load lines are transmission lines in the target power system whose load index is greater than the load threshold; determining the first power failure node corresponding to the target power system based on the heavy load characteristic parameters, wherein the first power failure node is a power consumption node in the target power system that has lost power supply; determining, based on the system topology, whether there is a node determination result among multiple communication nodes that has a load connection relationship with at least one communication node and the first power failure node; and determining the operating stability parameters corresponding to the power communication system based on the node determination result and the system topology.

[0208] Specifically, the heavy load characteristic parameters corresponding to the target power system under the operating scenario are determined. Based on the heavy load characteristic parameters, the first power outage node corresponding to the target power system is determined. This includes: determining the heavy load characteristic parameters corresponding to the target power system under the operating scenario, starting with a grid NK fault caused by an extreme event, first determining whether islanding has occurred (if so, the islanding problem is handled first); then solving the optimal power flow (OPF) to determine a reasonable power supply scheme. If the OPF does not converge, the low-weight load is removed and the solution is recalculated; after the OPF converges, it is determined whether there are heavy load lines (if not, the load loss is counted and the process ends); if there are heavy load lines, the lines are removed according to probability, and then it is determined whether any lines are removed (if not, the load loss is counted and the process ends; if so, the process returns to the starting point and repeats the above steps until the grid stabilizes, and the load loss is counted (that is, the first power outage node corresponding to the target power system is determined).

[0209] Figure 5 This is a schematic diagram of the simulation process of the target power system in an optional embodiment of the present invention, such as... Figure 5As shown, based on the aforementioned power grid outage model based on optimal AC power flow, and with the objective of minimizing generation costs, this paper considers the system's active and reactive power balance constraints, branch inflow and outflow capacity limitations, bus voltage upper and lower limit constraints, and generator active and reactive power output upper and lower limit constraints. A simulation method for power grid fault processes is proposed. Through simulation algorithms, the dynamic process of power system outages is simulated, i.e., cascading faults and outages that occur in the power system at certain times of the day due to extreme events. The main simulation algorithm flow is as follows: After an NK fault occurs in the power system, it is first determined whether an islanding has occurred; then, the system's operating mode is determined through optimal AC power flow; if the power flow calculation does not converge, load shedding is required; if a heavily loaded line fails, the optimal power flow needs to be recalculated and the operating mode determined until no more heavily loaded lines fail. The input is the NK fault of the power system under extreme event scenario, and the output is the load loss of the system (that is, to determine the first power failure node corresponding to the target power system). Here, the NK fault represents a fault scenario in which N devices were originally operating normally, and an extreme event (such as a typhoon or earthquake) caused K devices to fail simultaneously.

[0210] Optionally, based on the node determination results and the system topology, the corresponding operational stability parameters for the power communication system are determined, including: if the node determination results show that at least one communication node among multiple communication nodes has a load connection relationship with the first power-out node, then a second power-out node is determined from the multiple communication nodes, wherein the second power-out node is the communication node among the multiple communication nodes that has lost power supply; based on the second power-out node, an update operation is performed on the system topology to obtain an updated system topology, wherein the update operation includes any of the following: deleting the faulty node; and based on the updated system topology, the corresponding operational stability parameters for the power communication system are determined.

[0211] Optionally, determining the second power-loss node from multiple communication nodes includes: determining an associated node from multiple communication nodes, wherein the associated node is a communication node among multiple communication nodes that has a load connection relationship with the first power-loss node; determining a backup power supply corresponding to the target communication system; determining the backup power supply characteristics corresponding to the backup power supply; and determining the second power-loss node from multiple communication nodes based on the backup power supply characteristics.

[0212] Optionally, based on the updated system topology, the operating stability parameters corresponding to the power communication system are determined, including: dividing the power communication system into multiple subsystems based on the updated system topology; determining the load characteristic parameters corresponding to each of the multiple subsystems; and determining the operating stability parameters corresponding to the power communication system based on the load characteristic parameters corresponding to each of the multiple subsystems.

[0213] Specifically, the initial communication network is first generated through a program, and then the communication network at a certain moment after an extreme disaster occurs is obtained. Next, it is determined whether the backup power supply of the communication network nodes (i.e., the backup power supply characteristics corresponding to the backup power supply; if invalid, some nodes of the communication network will fail), and a new communication network topology is obtained accordingly. Then, all base stations are divided into N regions (i.e., multiple subsystems), and the number of users in each region and the total load capacity of the base stations are calculated. Then, it is determined whether the number of users in a region exceeds the load capacity (if not, it is directly counted; if it exceeds, the excess users are considered as interrupted). Finally, the new communication network structure is output, the number of users with communication interruption is counted, and indicators such as fault range and service availability are output (if system security is involved, feedback is provided synchronously).

[0214] Figure 6 This is a schematic diagram of the simulation process of a communication network based on backup power configuration and communication capacity constraints in an optional embodiment of the present invention, as shown below. Figure 6 As shown, in extreme event scenarios, relying solely on scale-free network algorithms for communication network simulation is insufficient. It is necessary to further consider backup power supplies and communication capacity limitations for base stations and switch nodes to make the model more consistent with actual operating characteristics. Therefore, this paper further considers backup power supply configuration and communication capacity constraints on the communication network model to conduct a simulation.

[0215] (1) Backup power configuration method:

[0216] In communication networks, critical nodes such as large base stations and switches are highly dependent on the power grid; power failure can lead to widespread network paralysis. To ensure the continuity of communication functions under extreme events, backup power supplies must be configured for critical nodes. Based on emergency power configuration requirements, batteries are configured for base stations and end offices, with a backup power duration of 90 minutes; natural gas / diesel generator sets are configured for switches and tandem offices, with a backup power duration of 12 hours, ensuring that the power supply needs of important loads are met. During the simulation, communication nodes damaged due to power grid failures will maintain normal operation with a certain probability, indicating that the backup power supply is in use. When the backup power supply is exhausted and the power grid supply has not been restored, the node is considered to have failed. Through this simulation process, the topology evolution process and changes in the number of users in the communication network can be output at multiple time points.

[0217] (2) Communication capacity constraint simulation:

[0218] As a typical complex network system, communication networks can experience cascading failures and impact user communication services when some nodes or links fail. Therefore, it is necessary to introduce communication capacity constraints into the simulation of mobile communication networks. The number of user requests carried by a mobile communication base station within a certain time period is defined as its load, and the base station's carrying capacity is limited by its communication capacity. If the load exceeds the capacity limit, it will lead to call congestion and a decline in service quality. The specific simulation method is as follows: when the base station load exceeds its capacity threshold (e.g., 120%), some users are transferred to a nearby base station; if the nearby base station is also overloaded, users cannot complete the handover, and communication is interrupted. To simplify the model simulation process, geographically adjacent base stations can be divided into the same region, allowing users to freely handover between base stations within the region, while no handover is performed across regions. The communication capacity constraint simulation can be implemented based on a capacity allocation algorithm using a soft handover mechanism.

[0219] Furthermore, based on the operating conditions and system topology, the corresponding operational stability parameters of the power communication system can be determined through joint simulation of the power grid-communication network coupling model.

[0220] Figure 8 This is a schematic diagram of the co-simulation process of the power grid-communication network coupling model in an optional embodiment of the present invention, as shown below. Figure 8 As shown, this intuitively illustrates the implementation path of the power grid-communication network co-simulation. Specifically, based on the system topology, i.e., the power grid-communication network coupling model, co-simulation of the power grid-communication network coupled system is performed to accurately depict the functional coupling relationship between the power grid and the communication network, thereby realizing the hierarchical integration of the two types of networks into a coupled system with complete functionality. Specific steps include:

[0221] Starting with a power grid node disaster scenario simulated by an NK fault, the power grid side self-rescue process is first executed (identifying and handling isolated nodes). If the optimal power flow (OPF) solution fails to converge, reduce the weighted load. The process begins by identifying overloaded lines and, if so, cutting them off based on probability, cycling until the power grid stabilizes. Then, the lost load of the power grid is calculated. Next, it checks if the failed load is connected to a communication node (if not, the process ends). If connected, the analysis proceeds to the communication network side: first, an initial communication network is generated programmatically to obtain the communication network at a certain moment after the disaster; then, the effectiveness of the backup power supply is determined (if ineffective, the communication node fails), and a new communication network topology is generated. Next, the base station is divided into N regions, and the number of users in each region and the base station's load capacity are calculated. The number of users is then determined to be overloaded (if overloaded, the excess users are marked as an interruption). Finally, the communication network structure, the number of interrupted users, and indicators such as the fault range and service availability are output (synchronous feedback is provided when system security is involved).

[0222] The following description further illustrates how the power grid-communication network coupled modeling and co-simulation method for extreme events (i.e., the method for determining the operational stability parameters of power communication systems) is applied to a real-world example of a power grid and communication network.

[0223] This study uses a real-world example of a power grid and communication network as the research object, with a mobile communication network selected as a typical example for simulation analysis. Based on the aforementioned power grid-communication network coupled modeling, co-simulation, and resilience assessment methods, the example is validated and the results are analyzed. The simulation platform employs a high-level programming language and an open-source interactive programming environment. The hardware environment utilizes a multi-core, multi-threaded processor with high computing performance and 8GB of random access memory (RAM).

[0224] Table 1 is a summary table of several key moments in the simulation process under extreme event scenarios. As shown in Table 1, the number of mobile communication network users, base stations and switch nodes in the study area changes at several key moments in the simulation process under extreme event scenarios (including three power grid failures).

[0225] Table 1

[0226]

[0227] Figure 9 This is a schematic diagram illustrating the change in the number of users over time in an optional embodiment of the present invention, such as... Figure 9 The diagram illustrates the change in the number of users over time. The recovery process employs a strategy of prioritizing the recovery of critical nodes, gradually restoring the network to its pre-extreme-event topology through three recovery operations. Furthermore, the diagram statistically analyzes user outages caused by grid failures and communication capacity limitations during the extreme event.

[0228] Figure 10 This is a bar chart showing the number of normal communication users and interrupted users in an optional embodiment of the present invention, such as... Figure 10 As shown, blue represents users with normal communication, red represents users whose communication is interrupted due to power grid failure, and yellow represents users whose communication is interrupted due to communication capacity limitations.

[0229] Figure 11 This is a schematic diagram illustrating the dynamic changes in communication service availability in an optional embodiment of the present invention. Figure 12 This is a schematic diagram illustrating the dynamic change of the fault range in an optional embodiment of the present invention, such as... Figure 11 and Figure 12 As shown, the dynamic changes of the calculated communication service availability (i.e., service availability) and fault range are illustrated.

[0230] The results analysis shows that under the influence of extreme events, the availability of mobile communication network services in the region dropped to a minimum of 60%, a decrease of 40% compared to normal conditions, with the maximum fault range reaching 27%.

[0231] Table 2 is a comparison table of simulation results. As shown in Table 2, it shows the comparison between the simulation results of the coupled model and the small example. The errors between the two are small, which verifies the accuracy of the example results.

[0232] Table 2

[0233]

[0234] Further analysis revealed that approximately 40% of user communications were affected, indicating a severe disaster impact. The coupling between the power grid and communication networks accelerated and exacerbated the fault propagation process, highlighting the vulnerability of this type of infrastructure. Therefore, contingency plans should be developed in advance to mitigate disaster losses. During extreme events, ensuring the efficiency of the communication network is not the primary priority; the focus should be on protecting critical nodes in both the power grid and communication networks to contain the spread of the fault, reduce user losses, and improve service availability.

[0235] The aforementioned joint simulation process yielded the losses experienced by users, base stations, and switching nodes in the mobile communication network under extreme event scenarios. Quantitative and qualitative analyses were then conducted based on the proposed resilience assessment method. The results show that the proposed power grid-communication network coupled system resilience index effectively reflects the changing characteristics of communication network service availability and the fault range of the coupled system. This provides significant reference value for the resilience construction of power communication systems and the formulation of disaster prevention and recovery strategies, thus validating the effectiveness and practicality of the proposed model.

[0236] The above optional implementation methods can achieve at least the following beneficial effects:

[0237] (1) Compared with related technologies, the present invention can accurately characterize the power generation capacity and operating characteristics of the target power system by acquiring power data, communication data and operating conditions of the power communication system, and determining the power generation parameters of multiple power generation nodes based on the power data. Based on the communication data, the communication topology of the target communication system can be determined, and the connection relationship and distribution of multiple communication nodes can be clearly presented. On this basis, the collaborative operation relationship between multiple communication nodes and multiple power generation nodes can be determined, and the interaction and cooperation status between each node can be clearly defined. Thus, the system topology determined by combining power generation parameters, communication topology and collaborative operation relationship can fully reflect the energy supply characteristics of the power side and the signal transmission linkage characteristics of the communication side. Furthermore, based on the operating conditions and system topology, the operating stability parameters of the power communication system can be accurately determined, thus solving the technical problem in related technologies where the operating stability parameters of the power communication system are not accurately determined.

[0238] (2) Compared with related technologies, this invention identifies the distribution of heavy-load lines by determining the heavy-load characteristic parameters of the target power system under the working conditions, and can accurately locate the transmission area with overload risk; based on this, the first power failure node that loses power supply can be determined, and the terminal range affected by the fault can be clarified; further analysis of the load connection relationship between the communication node and the first power failure node in the system topology can determine whether the fault propagates through the power-communication coupling path; finally, the operating stability parameters are determined by combining the node determination results with the system topology, so as to ensure a comprehensive assessment of the linkage vulnerability and power supply reliability of the power communication system under fault conditions.

[0239] (3) Compared with related technologies, the present invention can clarify the specific impact range of power failure in the communication system by determining the second power failure node when the node determination result shows that there is a load connection relationship between the communication node and the first power failure node, and ensure that the communication node that fails due to power interruption is identified; based on the second power failure node, the update operation, such as deleting the fault node, can dynamically adjust the system topology to reflect the actual operating status and avoid the interference of the fault node on the system analysis; based on the updated system topology, the operating stability parameters can be determined, and the stability of the power communication system can be evaluated more accurately.

[0240] (4) Compared with related technologies, the present invention can identify the associated nodes that have a load connection relationship with the first power failure node from multiple communication nodes, thereby clarifying the range of communication nodes directly affected by the power failure; determine the backup power supply and its power supply characteristics of the target communication system, thereby assessing the support capacity of the backup power supply when the main power supply fails; and determine the second power failure node from the communication nodes based on the backup power supply characteristics, thereby accurately identifying communication nodes that cannot maintain operation under backup power conditions, ensuring a comprehensive understanding of the actual impact of the power failure on the communication system, avoiding the expansion of communication interruption caused by insufficient or failed backup power, and realizing accurate analysis of the fault propagation path and impact range of the power communication system.

[0241] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0242] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0243] Example 2

[0244] According to an embodiment of the present invention, an apparatus for implementing the above-described method for determining the operating stability parameters of a power communication system is also provided. Figure 13 This is a structural block diagram of a device for determining the operating stability parameters of a power communication system according to an embodiment of the present invention, such as... Figure 13 As shown, the device includes: an acquisition module 1302, a first determination module 1304, a second determination module 1306, a third determination module 1308, a fourth determination module 1310, and a fifth determination module 1312. The device will be described in detail below.

[0245] The acquisition module 1302 is used to acquire power data, communication data, and operating conditions of the power communication system, wherein the power communication system includes a target power system and a target communication system; the first determination module 1304, connected to the acquisition module 1302, is used to determine the generation parameters corresponding to multiple generation nodes based on the power data, wherein the target power system includes multiple generation nodes; the second determination module 1306, connected to the first determination module 1304, is used to determine the communication topology corresponding to the target communication system based on the communication data; the third determination module 1308, connected to the second determination module 1306, is used to determine the communication topology corresponding to the multiple communication nodes. The system topology includes multiple collaborative operation relationships, where each collaborative operation relationship represents the collaborative operation status between a corresponding communication node and multiple power generation nodes, and the communication topology includes multiple communication nodes; the fourth determining module 1310, connected to the third determining module 1308, is used to determine the system topology corresponding to the power communication system based on the power generation parameters corresponding to the multiple power generation nodes, the communication topology, and the multiple collaborative operation relationships corresponding to the multiple communication nodes; the fifth determining module 1312, connected to the fourth determining module 1310, is used to determine the operating stability parameters corresponding to the power communication system based on the operating scenario and the system topology.

[0246] It should be noted that the above-mentioned acquisition module 1302, first determination module 1304, second determination module 1306, third determination module 1308, fourth determination module 1310, and fifth determination module 1312 correspond to steps S102 to S112 in the method for determining the operating stability parameters of a power communication system. The multiple modules and the corresponding steps are the same in terms of implementation examples and application scenarios, but are not limited to the content disclosed in the above embodiment 1.

[0247] Example 3

[0248] According to another aspect of the present invention, an electronic device is also provided, comprising: a processor; and a memory for storing processor-executable instructions, wherein the processor is configured to execute instructions to implement the method for determining the operating stability parameters of the power communication system described above.

[0249] Example 4

[0250] According to another aspect of the present invention, a computer-readable storage medium is also provided, which, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to perform the above-described method for determining the operating stability parameters of a power communication system.

[0251] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0252] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0253] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0254] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0255] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0256] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0257] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for determining the operating stability parameters of a power communication system, characterized in that, include: Acquire power data, communication data, and operating conditions from a power communication system, wherein the power communication system includes a target power system and a target communication system; Based on the power data, power generation parameters corresponding to multiple power generation nodes are determined, wherein the target power system includes the multiple power generation nodes; Based on the communication data, determine the communication topology corresponding to the target communication system; Multiple cooperative operation relationships are determined corresponding to multiple communication nodes, wherein the multiple cooperative operation relationships represent the cooperative operation status between the corresponding communication node and the multiple power generation nodes, and the communication topology includes the multiple communication nodes; Based on the power generation parameters corresponding to the multiple power generation nodes, the communication topology, and the multiple cooperative operation relationships corresponding to the multiple communication nodes, the system topology corresponding to the power communication system is determined. Based on the operating scenario and the system topology, the corresponding operational stability parameters for the power communication system are determined.

2. The method according to claim 1, characterized in that, The determination of the operating stability parameters corresponding to the power communication system based on the operating scenario and the system topology includes: Under the specified operating conditions, the heavy load characteristic parameters corresponding to the target power system are determined. The heavy load characteristic parameters are used to reflect the distribution characteristics of heavy load lines in the target power system. The heavy load lines are transmission lines in the target power system whose load index is greater than the load threshold. Based on the heavy load characteristic parameters, a first power failure node corresponding to the target power system is determined, wherein the first power failure node is a power consumption node in the target power system that has lost power supply; Based on the system topology, determine whether there is at least one communication node among the plurality of communication nodes that has a load connection relationship with the first power-out node; Based on the node determination results and the system topology, the operating stability parameters corresponding to the power communication system are determined.

3. The method according to claim 2, characterized in that, The step of determining the operational stability parameters corresponding to the power communication system based on the node determination results and the system topology includes: If the node determination result shows that at least one of the plurality of communication nodes has a load connection relationship with the first power-out node, then a second power-out node is determined from the plurality of communication nodes, wherein the second power-out node is the communication node that has lost power supply among the plurality of communication nodes; Based on the second power failure node, an update operation is performed on the system topology to obtain an updated system topology, wherein the update operation includes any one of the following: deleting the faulty node; Based on the updated system topology, the operating stability parameters corresponding to the power communication system are determined.

4. The method according to claim 3, characterized in that, The step of determining the second power-deprived node from the plurality of communication nodes includes: From the plurality of communication nodes, an associated node is determined, wherein the associated node is a communication node among the plurality of communication nodes that has a load connection relationship with the first power failure node; Determine the backup power supply corresponding to the target communication system; Determine the backup power supply characteristics corresponding to the backup power supply; Based on the characteristics of the backup power supply, the second power-loss node is determined from the plurality of communication nodes.

5. The method according to claim 3, characterized in that, The step of determining the operating stability parameters corresponding to the power communication system based on the updated system topology includes: Based on the updated system topology, the power communication system is divided into multiple subsystems; Determine the load characteristic parameters corresponding to the plurality of subsystems respectively; Based on the load characteristic parameters corresponding to the multiple subsystems, the operating stability parameters corresponding to the power communication system are determined.

6. The method according to claim 1, characterized in that, Determining the communication topology corresponding to the target communication system based on the communication data includes: When the communication data includes communication request data, communication access data, and communication scheduling data, a first topology corresponding to the target communication system is determined based on the communication request data. Based on the communication access data, a second topology corresponding to the target communication system is determined; Based on the communication scheduling data, a third topology corresponding to the target communication system is determined; Based on the first topology, the second topology, and the third topology, a communication topology corresponding to the target communication system is determined.

7. The method according to any one of claims 1 to 6, characterized in that, The determination of multiple cooperative operation relationships corresponding to multiple communication nodes includes: For any one of the plurality of communication nodes, the multiple cooperative operation relationships corresponding to that communication node are determined in the following manner: Determine the power consumption nodes corresponding to the plurality of power generation nodes; Determine the load association relationship between each communication node and multiple power consumption nodes, wherein each of the multiple power consumption nodes corresponds one-to-one with each of the multiple power generation nodes; Based on the load association relationship between any one communication node and multiple power consumption nodes, multiple collaborative operation relationships corresponding to any one communication node are determined.

8. A device for determining the operating stability parameters of a power communication system, characterized in that, include: The acquisition module is used to acquire power data, communication data, and operating conditions of the power communication system, wherein the power communication system includes a target power system and a target communication system; The first determining module is used to determine the power generation parameters corresponding to the multiple power generation nodes based on the power data, wherein the target power system includes the multiple power generation nodes; The second determining module is used to determine the communication topology corresponding to the target communication system based on the communication data; The third determining module is used to determine multiple cooperative operation relationships corresponding to multiple communication nodes, wherein the multiple corresponding cooperative operation relationships represent the cooperative operation status between the corresponding communication node and the multiple power generation nodes, and the communication topology includes the multiple communication nodes; The fourth determining module is used to determine the system topology corresponding to the power communication system based on the power generation parameters corresponding to the plurality of power generation nodes, the communication topology, and the plurality of cooperative operation relationships corresponding to the plurality of communication nodes. The fifth determining module is used to determine the operating stability parameters corresponding to the power communication system based on the operating scenario and the system topology.

9. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the method for determining the operating stability parameters of a power communication system as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, When the instructions in the computer-readable storage medium are executed by the processor of the electronic device, the electronic device is able to perform the method for determining the operating stability parameters of the power communication system as described in any one of claims 1 to 7.

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