A Power System Network Security Situation Analysis Method Based on Coupling Matrix

Abstract

This invention discloses a power system network security situation analysis method based on a coupling matrix, belonging to the field of power system network security technology. The method includes establishing a power grid physical layer model and a power grid information layer model; performing coupling modeling of the information layer and physical layer through an association matrix; and conducting power grid security analysis and formulating recovery strategies based on different attack types. The method provides detailed system state information for network security situation analysis, improves the understanding of the dynamic behavior of the power system, enhances the comprehensiveness of power system network security analysis, provides a scientific basis for identifying and preventing potential security risks, strengthens the system's response capability to network attacks, improves the predictability and prevention capability of network attacks, enhances the connectivity of the information layer matrix and the physical layer's resistance to interference from information layer signals, reduces the system's measurement vulnerability, and improves the flexibility and adaptability of power system network security protection.

Description

Technical Field

[0001] This invention relates to the field of power system network security technology, specifically to a power system network security situation analysis method based on a coupling matrix. Background Technology

[0002] In today's information age, the stable operation of power systems relies on highly complex information technology support. As an important component of power system security, network security has always been a focus of research on situational analysis methods in academia and industry. Early power system network security analysis mainly focused on physical layer protection, such as improving system reliability through physical isolation and redundancy design. With the development of network technology, information layer-based network security analysis methods have gradually emerged, including intrusion detection systems, security vulnerability scanning, and risk assessment. These methods have improved the security protection capabilities of power systems to a certain extent, but there are still limitations in the deep integration analysis of the physical and information layers of the power grid.

[0003] However, existing technologies still have significant shortcomings in practical applications. Traditional power system network security analysis methods often neglect the close coupling relationship between the physical layer and the information layer of the power grid, resulting in analysis results that cannot fully reflect the security risks in actual operation. Although some studies have attempted to combine physical layer and information layer models, due to the lack of an effective correlation matrix, these methods have failed to accurately describe the interaction between the two layers during the modeling process, thus affecting the accuracy of security analysis. Existing technologies lack targeted security analysis and recovery strategies when facing diverse types of network attacks, making it difficult to achieve rapid response and effective recovery of power grid security in practical applications. Existing technologies have also failed to effectively integrate advanced technologies such as big data analysis and cloud computing to improve the real-time and accuracy of network security situation awareness. The power system network security situation analysis method based on coupling matrix proposed in this invention addresses the above shortcomings by establishing a more accurate coupling model to achieve comprehensive analysis and effective prediction of the power grid security situation, thereby improving the security protection capabilities of the power system. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by this invention is that existing power system network security technologies and methods suffer from low model accuracy, insufficient coupling analysis between the information layer and the physical layer, poor security situation assessment performance, and the problem of how to achieve efficient and accurate network security situation assessment and early warning.

[0006] To address the aforementioned technical problems, this invention provides the following technical solution: a power system network security situation analysis method based on a coupling matrix, comprising establishing a power grid physical layer model and a power grid information layer model; performing information layer-physical layer coupling modeling through an association matrix; and conducting power grid security analysis and formulating recovery strategies based on different attack types.

[0007] As a preferred embodiment of the power system network security situation analysis method based on coupling matrix described in this invention, the establishment of the power grid physical layer model includes establishing mathematical models of transmission lines, transformers, generators, and loads, and establishing a physical layer model P(x) of the power system, x = [x1, x2, ..., x...]. n [A vector describing the state of each node in a power system, containing voltage V, current I, and power P. The dynamic behavior of the power system is represented as:]

[0008]

[0009] In this matrix, matrix A is the system state matrix, which describes the dynamic characteristics of the physical layer, and matrix B is the control input matrix, which describes the influence of information layer signals on the physical layer state.

[0010] As a preferred embodiment of the power system network security situation analysis method based on coupling matrix described in this invention, the establishment of the power grid information layer model includes establishing models of communication protocols, data transmission paths, and control signal transmission in the power system, and constructing the power system information layer model I(u), u = [u1, u2, ..., u...]. m [] represents the information layer control variable vector, containing information parameters such as control signal C, communication delay τ, and data transmission rate δ. The information layer model is established through the node-edge matrix H, describing the topology of the information network, and is represented as:

[0011] C = H·u

[0012] Where H is an m×m sparse matrix with elements h ij Description information signal u j The propagation relationship between node i and node j, C = [C1, C2, ..., Cj] m ] represents the control signal vector of the information layer.

[0013] As a preferred embodiment of the power system network security situation analysis method based on coupling matrix described in this invention, the step of performing information layer and physical layer coupling modeling includes defining a power communication coupling matrix A and describing information layer variables u. j For physical layer variable x i The degree of influence, physical layer variable x i For information layer variable u jThe feedback effect, element a of the correlation matrix A ii Defined as:

[0014]

[0015] Among them, the first item Indicates information layer signal u j For physical layer variable x i The direct impact, the second item Represents the physical layer state x i For information layer signal u j The feedback effect is such that the matrix has dimensions of n×m, where n is the number of physical layer state variables and m is the number of information layer control variables.

[0016] As a preferred embodiment of the power system network security situation analysis method based on coupling matrix described in this invention, the information layer and physical layer coupling modeling further includes defining an information-physical coupling model. This is achieved by combining the physical layer model P(x) and the information layer model I(u) with the power communication coupling matrix A to establish an information-physical coupling model M(x, u). This model describes the interaction between the information layer and the physical layer, and is expressed as follows:

[0017] M(x, u) = P(x) + A·I(u)

[0018] Where P(x) is a function of the physical layer state vector, A·I(u) is the influence of the information layer on the physical layer, and the coupling model reflects the response behavior of the power system physical layer under different information layer signal control and interference.

[0019] As a preferred embodiment of the power system network security situation analysis method based on coupling matrix described in this invention, the formulation of the power grid security analysis and recovery strategy includes performing small-signal stability analysis on the coupling model M(x, u), evaluating the stability of the power system using eigenvalue analysis, and analyzing the dynamic behavior of the system under small disturbances, expressed as:

[0020] λ i =eig(A+ΔA)

[0021] Where, λ i Let ΔA be the system eigenvalue, and let ΔA be the change in the correlation matrix A caused by information layer attacks or faults. By analyzing the real and imaginary parts of the eigenvalues, the stability and response characteristics of the system can be determined.

[0022] As a preferred embodiment of the power system network security situation analysis method based on coupling matrix described in this invention, the formulation of the power grid security analysis and recovery strategy includes, based on simulation analysis, identifying and predicting potential security risks, optimizing the configuration of the power communication coupling matrix A, and formulating emergency response strategies for different types of network threats.

[0023] When dealing with denial-of-service attacks, strategies such as redundant design or dynamic adjustment of information transmission paths are proposed to improve the efficiency of elements h in the information layer matrix H. ij Connectivity.

[0024] When targeting data tampering attacks, reduce the weight of the physical model of critical nodes on information signals. Reduce the measurement vulnerability of the system.

[0025] When targeting malicious control command attacks, reduce the weight of critical node information signals on the physical layer. Enhance the physical layer's ability to resist interference from information layer signals.

[0026] Based on different attack types, the system automatically adjusts the control signal path or cyber-physical model parameters.

[0027] Another objective of this invention is to provide a power system network security situation analysis system based on a coupling matrix, which can perform information layer and physical layer coupling modeling through an association matrix, thus solving the problem of inaccurate analysis results in current power system network security technologies.

[0028] As a preferred embodiment of the power system network security situation analysis system based on coupling matrix described in this invention, it includes: a model building module, a coupling module, and a security defense strategy module;

[0029] The model building module is used to build a power grid physical layer model and a power grid information layer model; the coupling module is used to perform information-physical coupling modeling through an association matrix; and the security defense strategy module is used to formulate power grid security analysis and recovery strategies based on different attack types.

[0030] A computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement a power system network security situation analysis method based on a coupling matrix.

[0031] A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of a power system network security situation analysis method based on a coupling matrix.

[0032] The beneficial effects of this invention are as follows: The power system network security situation analysis method based on coupling matrix provided by this invention establishes a power grid physical layer model and a power grid information layer model, which improves the understanding of the dynamic behavior of the power system, provides detailed system state information for network security situation analysis, and enhances the accuracy and reliability of the analysis. Through the correlation matrix, the information layer and physical layer are coupled and modeled, accurately representing the degree of influence of information layer variables on physical layer variables and the feedback effect of physical layer state on information layer signals, improving the comprehensiveness of power system network security analysis, providing a scientific basis for identifying and preventing potential security risks, and enhancing the system's response capability to network attacks. Based on different attack types, this invention conducts power grid security analysis and formulates recovery strategies. Small-signal stability analysis enables accurate assessment of system dynamic behavior under minor disturbances, ensuring stable power system operation. It identifies and predicts potential security risks, improving the predictability and prevention capabilities against network attacks. For different types of attacks, such as denial-of-service attacks, data tampering attacks, and malicious control command attacks, corresponding emergency response strategies are developed. This enhances the connectivity of the information layer matrix and the physical layer's resistance to interference from information layer signals, reducing the system's measurement vulnerability. It automatically adjusts control signal paths or cyber-physical model parameters, improving the flexibility and adaptability of power system network security protection. This invention achieves significantly better results in system security, analysis accuracy, and emergency response efficiency. Attached Figure Description

[0033] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 The first embodiment of the present invention provides an overall flowchart of a power system network security situation analysis method based on a coupling matrix.

[0035] Figure 2 The flowchart below shows the construction process of an association model for a power system network security situation analysis method based on a coupling matrix, as provided in the second embodiment of the present invention.

[0036] Figure 3 This is a 30-node system regional topology diagram of a power system network security situation analysis method based on a coupling matrix, provided as a second embodiment of the present invention.

[0037] Figure 4The diagram shows the number of overloaded lines after a system node suffers a false data injection attack, which is part of a power system network security situation analysis method based on a coupling matrix provided in the second embodiment of the present invention.

[0038] Figure 5 The second embodiment of the present invention provides a connectivity graph of a power system network security situation analysis method based on a coupling matrix after the system line has been subjected to a false data injection attack.

[0039] Figure 6 The following is an overall flowchart of a power system network security situation analysis system based on a coupling matrix, provided as a third embodiment of the present invention. Detailed Implementation

[0040] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. 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 protection scope of the present invention.

[0041] Example 1, referring to Figure 1 As an embodiment of the present invention, a power system network security situation analysis method based on a coupling matrix is ​​provided, comprising:

[0042] S1: Establish the power grid physical layer model and the power grid information layer model.

[0043] Furthermore, establishing a physical layer model of the power grid includes establishing mathematical models of transmission lines, transformers, generators, and loads, and establishing a physical layer model of the power system P(x), x = [x1, x2, ..., x...]. n [A vector describing the state of each node in a power system, containing voltage V, current I, and power P. The dynamic behavior of the power system is represented as:]

[0044]

[0045] In this matrix, matrix A is the system state matrix, which describes the dynamic characteristics of the physical layer, and matrix B is the control input matrix, which describes the influence of information layer signals on the physical layer state.

[0046] It should be noted that establishing the power grid information layer model includes establishing models of communication protocols, data transmission paths, and control signal transmission in the power system, and constructing the power system information layer model I(u), u = [u1, u2, ..., u...]. m[] represents the information layer control variable vector, containing information parameters such as control signal C, communication delay τ, and data transmission rate δ. The information layer model is established through the node-edge matrix H, describing the topology of the information network, and is represented as:

[0047] C = H·u

[0048] Where H is an m×m sparse matrix with elements h ij Description information signal u j The propagation relationship between node i and node j, C = [C1, C2, ..., Cj] m ] represents the control signal vector of the information layer.

[0049] It should also be noted that establishing a physical layer model and an information layer model of the power grid improves the understanding of the dynamic behavior of the power system, provides detailed system status information for network security situation analysis, and enhances the accuracy and reliability of the analysis.

[0050] S2: Model the coupling between the information layer and the physical layer using the correlation matrix.

[0051] Furthermore, performing information layer-physical layer coupling modeling includes defining the power communication coupling matrix A and describing the information layer variables u. j For physical layer variable x i The degree of influence, physical layer variable x i For information layer variable u j The feedback effect, element a of the correlation matrix A ii Defined as:

[0052]

[0053] Among them, the first item Indicates information layer signal u j For physical layer variable x i The direct impact, the second item Represents the physical layer state x i For information layer signal u j The feedback effect is such that the matrix has dimensions of n×m, where n is the number of physical layer state variables and m is the number of information layer control variables.

[0054] It should be noted that information-physical layer coupling modeling also includes defining an information-physical coupling model. By combining the physical layer model P(x) and the information layer model I(u) with the power communication coupling matrix A, an information-physical coupling model M(x, u) is established. This model describes the interaction between the information layer and the physical layer, and is expressed as:

[0055] M(x, u) = P(x) + A·I(u)

[0056] Where P(x) is a function of the physical layer state vector, A·I(u) is the influence of the information layer on the physical layer, and the coupling model reflects the response behavior of the power system physical layer under different information layer signal control and interference.

[0057] It should also be noted that by using the correlation matrix to model the coupling between the information layer and the physical layer, the influence of information layer variables on physical layer variables and the feedback effect of physical layer state on information layer signals can be accurately represented. This improves the comprehensiveness of power system network security analysis, provides a scientific basis for identifying and preventing potential security risks, and enhances the system's response capability to network attacks.

[0058] S3: Based on different attack types, conduct power grid security analysis and formulate recovery strategies.

[0059] Furthermore, the formulation of power grid security analysis and recovery strategies includes performing small-signal stability analysis on the coupled model M(x, u), using eigenvalue analysis to assess the stability of the power system, and analyzing the dynamic behavior of the system under small disturbances, expressed as:

[0060] λ i =eig(A+ΔA)

[0061] Where, λ i Let ΔA be the system eigenvalue, and let ΔA be the change in the correlation matrix A caused by information layer attacks or faults. By analyzing the real and imaginary parts of the eigenvalues, the stability and response characteristics of the system can be determined.

[0062] It should be noted that the formulation of power grid security analysis and recovery strategies includes identifying and predicting potential security risks based on simulation analysis, optimizing the configuration of the power communication coupling matrix A, and formulating emergency response strategies for different types of network threats.

[0063] When dealing with denial-of-service attacks, strategies such as redundant design or dynamic adjustment of information transmission paths are proposed to improve the efficiency of elements h in the information layer matrix H. ij Connectivity.

[0064] When targeting data tampering attacks, reduce the weight of the physical model of critical nodes on information signals. Reduce the measurement vulnerability of the system.

[0065] When targeting malicious control command attacks, reduce the weight of critical node information signals on the physical layer. Enhance the physical layer's ability to resist interference from information layer signals.

[0066] Based on different attack types, the control signal path or cyber-physical model parameters are automatically adjusted.

[0067] It should also be noted that, based on different attack types, power grid security analysis and recovery strategies were formulated. Small signal stability analysis enabled accurate assessment of the system's dynamic behavior under minor disturbances, ensuring the stable operation of the power system. Potential security risks were identified and predicted, improving the predictability and prevention capabilities against network attacks. Corresponding emergency response strategies were developed for different types of attacks, such as denial-of-service attacks, data tampering attacks, and malicious control command attacks. The connectivity of the information layer matrix and the physical layer's resistance to interference from information layer signals were improved, reducing the system's measurement vulnerability. The control signal path or cyber-physical model parameters were automatically adjusted, improving the flexibility and adaptability of power system network security protection.

[0068] Example 2, refer to Figures 2-5 As an embodiment of the present invention, a power system network security situation analysis method based on coupling matrix is ​​provided. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiment.

[0069] First, a typical power system is simulated. The simulation example utilizes the IEEE 30-node power grid topology and related parameters from the IEEE database. MATLAB simulation programming is used to calculate DC power flow equations and simulate the consequences of an attack on the information network. The associated model and security situation analysis process are as follows: Figure 2 As shown, this simulation uses an IEEE 30-bus system to form a distribution network CPS, as follows. Figure 3 As shown, the system can be divided into three regions to study its robustness under DoS attacks and spoofed data injection attacks. Assuming a spoofed data injection attack occurs at a region node, with the injected spoofed data value ranging from 0.1 to 0.8 times the initial value, simulation results are used to investigate these effects. Figure 4 It is known that Region 2 has more vulnerable nodes. This region has fewer generators and more loads, resulting in poor generator adjustability. Nodes #3, #4, #13, #14, #16, #18, #19, #21, #23, and #30 in the system are vulnerable nodes. This study investigates the impact of a single line suffering a false data injection attack on the system's connectivity. By faking a line power overload, the information system's protection devices are malfunctioning. Two scenarios are set up: Scenario 1, no protection devices are used; Scenario 2, the influence coefficient in the power-communication coupling matrix is ​​reduced, thus reducing the influence coefficient of the information layer on the physical layer. This reduced the rate by 20%, thereby lowering the false tripping rate of the protection device. The impact of overload disconnection on the system's cascading failures was tested separately. Figure 5 The horizontal axis represents the line ID number in each system, and the vertical axis represents the proportion of remaining effective nodes after a cascading failure in the system, i.e., the connectivity rate. The experimental results show that the present invention can effectively analyze the further spread of the attack and achieve effective isolation of the attack.

[0070] Example 3, referring to Figure 6 As an embodiment of the present invention, a power system network security situation analysis system based on coupling matrix is ​​provided, including a model building module, a coupling module, and a security defense strategy module.

[0071] The model building module is used to build the power grid physical layer model and the power grid information layer model; the coupling module is used to perform information-physical coupling modeling through the correlation matrix; and the security defense strategy module is used to perform power grid security analysis and formulate recovery strategies based on different attack types.

[0072] If a function 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 this invention, or the part that contributes to the prior art, or a 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 of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0073] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0074] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0075] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc. It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

[0076] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A power system network security situation analysis method based on a coupling matrix, characterized in that, include: Establish a physical layer model of the power grid and an information layer model of the power grid. The information layer and physical layer coupling model is performed using the power communication coupling matrix. Based on different attack types, conduct power grid security analysis and formulate recovery strategies; The establishment of the power grid physical layer model includes establishing mathematical models of transmission lines, transformers, generators, and loads, and establishing a physical layer model of the power system. , A vector describing the state of each node in a power system, containing voltage. Current ,power The dynamic behavior of a power system is represented as: Among them, matrix The system state matrix describes the dynamic characteristics of the physical layer. To control the input matrix, describe the impact of information layer signals on the physical layer state; The establishment of the power grid information layer model includes establishing models of communication protocols, data transmission paths, and control signal transmission in the power system, thus constructing the power system information layer model. , This is the information layer control variable vector, containing control signals. Communication delay Data transmission rate Information parameters, the information layer model is based on the node-edge matrix Establish and describe the topology of an information network, represented as: in, for A sparse matrix, elements Description information signal At the node and nodes The propagation relationship between them This refers to the control signal vector of the information layer; The process of performing information layer and physical layer coupling modeling includes defining the power communication coupling matrix. , describing information layer variables For physical layer variables The degree of influence, physical layer variables For information layer variables The feedback effect, power communication coupling matrix elements Defined as: Among them, the first item Indicates information layer signal For physical layer variables The direct impact, the second item Represents the physical layer state For information layer signals The feedback effect, the dimension of the matrix is , The number of physical layer state variables. The number of control variables for the information layer; The process of performing information layer-physical layer coupling modeling also includes defining an information-physical coupling model, which is achieved by using the physical layer model... and information layer model Combined with power communication coupling matrix Establish a cyber-physical coupling model The model describes the interaction between the information layer and the physical layer, and is represented as follows: in, A function of the physical layer state vector. To understand the impact of the information layer on the physical layer, the coupling model reflects the response behavior of the power system's physical layer under different information layer signal control and interference conditions. The formulation of the power grid security analysis and recovery strategy includes the coupling model. Small-signal stability analysis is performed, and the eigenvalue analysis method is used to evaluate the stability of the power system. The dynamic behavior of the system under small disturbances is analyzed, which is expressed as: in, For system characteristic values, The power communication coupling matrix caused by information layer attacks or faults The change in eigenvalues ​​is used to determine the stability and response characteristics of the system by analyzing the real and imaginary parts of the eigenvalues. The formulation of the power grid security analysis and recovery strategy includes identifying and predicting potential security risks based on simulation analysis, and optimizing the power communication coupling matrix. Configure and develop emergency response strategies for different types of network threats; When dealing with denial-of-service attacks, strategies such as redundant design or dynamic adjustment of information transmission paths are proposed to enhance the information layer matrix. medium elements Connectivity; When targeting data tampering attacks, reduce the weight of the physical model of critical nodes on information signals. This reduces the measurement vulnerability of the system; When targeting malicious control command attacks, reduce the weight of critical node information signals on the physical layer. Enhance the physical layer's resistance to interference from information layer signals; Based on different attack types, the control signal path or cyber-physical model parameters are automatically adjusted.

2. A system employing the power system network security situation analysis method based on coupling matrix as described in any one of claims 1, characterized in that: It includes a model building module, a coupling module, and a security defense strategy module; The model building module is used to build the power grid physical layer model and the power grid information layer model. The coupling module is used to perform cyber-physical coupling modeling through the power communication coupling matrix; The security defense strategy module is used to perform power grid security analysis and formulate recovery strategies based on different attack types.

3. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the power system network security situation analysis method based on coupling matrix as described in any one of claims 1.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the power system network security situation analysis method based on the coupling matrix as described in any one of claims 1.

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