Self-adaptive communication-power double-layer network design method and related components

Abstract

The invention discloses an adaptive communication-power double-layer network design method and related components. The method comprises the following steps: constructing a communication network and a power network with nodes coupled one by one, obtaining a double-layer network, and setting a propagation dynamics process of the double-layer network; a load redistribution strategy of the power network in the cascade fault process is constructed based on heterogeneous individual behaviors of the information propagation dynamics process in the communication network; and analyzing the influence of the load redistribution strategy in the cascade fault process. According to the method, the change of the node state of the power network in the information spreading process is considered, and the different change of the node state shows different performances on the load redistribution process. Therefore, heterogeneous individual behaviors based on information propagation are considered, a new load redistribution strategy is provided, a cascade fault process is analyzed, and a basis is provided for improving network robustness.

Description

Technical Field

[0001] The present invention relates to the technical field of network modeling, and particularly to an adaptive communication-power double-layer network design method and related components. Background Art

[0002] As a critical infrastructure, the stable operation of the communication-power network is crucial for social and economic activities. However, as a complex double-layer coupled system, the mutual dependence among its internal components makes the system increasingly prone to cascade failures. Cascade failures not only cause the entire system to stop service in a short period of time, but may also lead to the gradual deterioration of the system state and make it difficult to automatically recover.

[0003] In the communication-power network, faults and related information of faults usually spread in different networks. For example, a fault in the power network may cause the paralysis of the communication network, while the information dissemination in the communication network may affect the recovery process of the power network. The emergence of the double-layer network model provides an effective tool for studying such problems, and can describe the propagation paths and their interactions of faults and related information of faults in different networks. Currently, there have been many separate studies on the cascade failures of double-layer networks and the propagation dynamics of double-layer networks. Many existing studies focus on the cascade failure phenomenon in dependent networks, that is, faults spread in the network through mutual dependence, covering complex structures such as multiplex networks and networks within networks. These models have been successfully applied to describe the cascade failure process of dependent networks. However, the research on exploring the impact of information dissemination on cascade failures in double-layer networks is still relatively scarce, especially the application in the field of communication-power networks has not been fully explored.

[0004] In the communication-power network, the cascade failure process is always accompanied by information dissemination. For example, when a fault occurs in the power network, the communication network will spread the relevant fault information to help relevant departments and individuals make quick responses, and the dissemination of this information will affect the judgment of individuals and change their behaviors. Therefore, cascade failures and information dissemination are interdependent: cascade failures lead to changes in the working states of nodes in the network, and the changes in the working states of nodes in the network in turn lead to information dissemination; information dissemination changes the information states of nodes in the network, thereby affecting individual behaviors and thus changing the cascade failure process.

[0005] In addition, information dissemination not only affects the process of cascading failure propagation but also changes the network structure in which cascading failures occur. Previous studies have shown that adaptive behaviors caused by risk awareness can change the network structure. This is because as information spreads, nodes with unknown information will become known, and the number of nodes with known information increases and gradually develops a certain degree of risk awareness. There is a significant difference in risk awareness between nodes with unknown information and those with known information. The simplest example is that nodes with known information have risk awareness, while nodes with unknown information do not.

[0006] In addition, the propagation paths of cascading failures and their related information are different and uncorrelated. The dissemination of important real-time information usually does not damage the network structure, so information can be described by a static percolation framework. The process of cascading failures may cause components that have not failed to lose their connection after the cascading stops, and the network disintegrates. Therefore, a dynamic framework (such as models based on flow reallocation, betweenness, and ML load-capacity models) is needed to capture the characteristics of cascading failures.

[0007] In summary, cascading failures and information dissemination in communication-power networks are interdependent and complex processes. Information dissemination not only affects the process of cascading failures but also changes the network structure, thereby affecting the overall stability of the system. Summary of the Invention

[0008] The objective of the present invention is to provide a method for designing a two-layer network of adaptive communication-power and related components, aiming to solve the problem that existing technologies still have deficiencies in the study of the interaction between information dissemination and cascading failures in communication-power networks.

[0009] In a first aspect, an embodiment of the present invention provides a method for designing a two-layer network of adaptive communication-power, including:

[0010] Constructing a communication network and a power network with one-to-one node coupling to obtain a two-layer network and setting the propagation dynamics process of the two-layer network;

[0011] Based on the heterogeneous individual behaviors in the information dissemination dynamics process of the communication network, constructing a load reallocation strategy for the power network during the cascading failure process;

[0012] Analyzing the influence of the load reallocation strategy during the cascading failure process.

[0013] In a second aspect, an embodiment of the present invention provides a device for designing a two-layer network of adaptive communication-power, including:

[0014] A network construction unit for constructing a communication network and a power network with one-to-one node coupling to obtain a two-layer network and setting the propagation dynamics process of the two-layer network;

[0015] A load distribution unit for constructing a load redistribution strategy of the power network during a cascading failure process based on the heterogeneous individual behaviors of the information propagation dynamics process in the communication network;

[0016] An impact analysis unit for analyzing the impact of the load redistribution strategy during a cascading failure process.

[0017] In a third aspect, an embodiment of the present invention provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the adaptive communication-power double-layer network design method described in the first aspect above is implemented.

[0018] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor is caused to execute the adaptive communication-power double-layer network design method described in the first aspect above.

[0019] The beneficial effects of the embodiments of the present invention at least include:

[0020] Considering the changes in the node states of the power network during the information propagation process, different changes in the node states will show different performances in the load redistribution process. Therefore, considering the heterogeneous individual behaviors based on information propagation and proposing a new load redistribution strategy can better understand and control the cascading failures in the communication-power network, thereby improving the robustness and reliability of the network. Description of the Drawings

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for description in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0022] Figure 1 It is a schematic flowchart of the adaptive communication-power double-layer network design method provided by an embodiment of the present invention;

[0023] Figure 2 It is a schematic sub-flowchart of step S101 provided by an embodiment of the present invention;

[0024] Figure 3 It is a schematic sub-flowchart of step S102 provided by an embodiment of the present invention;

[0025] Figure 4 It is a schematic sub-flowchart of step S103 provided by an embodiment of the present invention;

[0026] Figure 5 Schematic block diagram of the adaptive communication - power double - layer network design device provided by an embodiment of the present invention;

[0027] Figure 6 Schematic block diagram of the computer device provided by an embodiment of the present invention;

[0028] Figure 7 Schematic diagram of the model of the adaptive communication - power double - layer network provided by an embodiment of the present invention;

[0029] Figure 8 Schematic diagram of the proportion of the largest connected sub - graph after the cascading failure process exemplified by an embodiment of the present invention;

[0030] Figure 9 Schematic diagram of the number of remaining unfailed nodes after the cascading failure process exemplified by an embodiment of the present invention. Detailed implementation manners

[0031] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0032] It should be understood that when used in this specification and the appended claims, the terms "comprises" and "comprising" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0033] It should also be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in this specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0034] It should be further understood that the term "and / or" used in this specification of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the related listed items, and includes these combinations.

[0035] Please refer to Figure 1 , Figure 1 Flow chart of the adaptive communication - power double - layer network design method provided by an embodiment of the present invention;

[0036] As Figure 1As shown in the figure, the method includes steps S101 - S103.

[0037] S101. Construct a communication network and a power network with one - to - one coupling of nodes to obtain a bilayer network and set the propagation dynamics process of the bilayer network.

[0038] S102. Based on the heterogeneous individual behavior of the information propagation dynamics process in the communication network, construct a load redistribution strategy for the power network during the cascading failure process.

[0039] S103. Analyze the influence of the load redistribution strategy during the cascading failure process.

[0040] The purpose of this embodiment is to consider the scenario of the coupling of the communication network and the power network, construct an adaptive communication - power bilayer network model (refer to the example figure in Figure 7 ). Considering the change in the node state of the power network during the information propagation process (i.e., the change in heterogeneous individual behavior), different changes in the node state will show different performances in the load redistribution process. Therefore, considering the heterogeneous individual behavior based on information propagation and proposing a new load redistribution strategy can better understand and control the cascading failure in the communication - power network, thereby improving the robustness and reliability of the network.

[0041] In one embodiment, as Figure 2 shown, step S101 includes steps S201 - S203.

[0042] S201. Construct a communication network G I (V I , E I ), and define the information state of each node v I in the node set V i as one of the known state and the unknown state, and the connection relationship E I between nodes;

[0043] S202. Construct a power network G P (V P , E P ), and define the initial load L P and load capacity C i of each node p Pi in the node set V pi , and the connection relationship E P between nodes;

[0044] S203. Use the UAU information propagation model to characterize the information propagation dynamics process of the communication network, and use the capacity - load model to characterize the fault propagation dynamics process of the power network.

[0045] In this embodiment, based on the construction process of steps S201 - S202, a two - layer network with a communication network on the upper layer and a power network on the lower layer is obtained, and a one - to - one coupling relationship between the inter - layer nodes is set. When the current workload of a node in the power network exceeds the corresponding load capacity C pi the node fails.

[0046] In step S203, after a node fails, the information propagation process of the upper - layer communication network is described by the UAU (Unaware - Aware - Unaware) information propagation model. After a node fails in the lower - layer power network, a cascading failure process will be triggered, which can be described by the capacity - load model. In this process, due to the information propagation in the upper - layer communication network, the node states change continuously. The continuous change of node states will lead to changes in individual behaviors, thus affecting the load distribution process of the lower - layer power network.

[0047] In one embodiment, as Figure 3 shown, step S102 includes steps S301 - S303.

[0048] S301. Confirm the node - state change process of the neighbor nodes in the communication network under the influence of information propagation. Among them, the node states include known and risk - aware, and unknown and non - risk - aware.

[0049] In this step, the states of all nodes in the communication network are classified into state nodes with known states and thus risk - aware (state A) and state nodes with unknown states and thus non - risk - aware (state U). If a state - A node and a state - U node are connected, then the latter can become state A with a certain probability δ (i.e., the information - propagation probability) through their contact. State - A nodes tend to forget the known information and return to state U with a certain probability μ. This is the UAU information - propagation model constructed in this embodiment. Let U(t) represent the density of state - U nodes at time t (density refers to the proportion of this state of nodes among all nodes), and A(t) represent the density of state - A nodes at time t. The change processes of the two - state nodes are as follows:

[0050]

[0051] where respectively refer to the change rates of nodes in state A and state U at time t.

[0052] S302. Define the risk - load capacity corresponding to each node according to the initial load, load capacity of each node in the power network, and external factors affecting the load - bearing capacity.

[0053] In this step, first, assume that the initial power grid is in a dynamically stable state, all nodes in the power grid have the same initial load, and there are no faulty nodes at the initial moment. The initial risk load capacity of the nodes can be set as:

[0054]

[0055] where N is the number of nodes in the power grid, and k i is the degree of node i, and α and β are adjustable parameters for controlling the initial load intensity of the nodes;

[0056] Then, considering the external factors (such as cost factors) affecting the load capacity in the power grid, since the load capacity of the nodes in the power grid is limited, the final risk load capacity of each node can be optimized as C i :

[0057] C i =(1 + λ)L i (0);

[0058] where λ (λ > 0) represents the parameter of the maximum working load that node i can accommodate in the power grid. The larger the value of λ, the stronger the risk load capacity of the node and the smaller the possibility of failure. It should be noted that if the value of λ is increased without considering the cost, the load capacity of the power grid nodes is unreasonable.

[0059] S303. When a fault occurs in the power grid, information about the faulty node and related fault information is propagated through the communication network, and the state changes of the neighbor nodes of the faulty node are confirmed; according to the state changes of the neighbor nodes, the working load of the faulty node is allocated to the corresponding neighbor nodes within the risk load capacity of the neighbor nodes;

[0060] In this step, when a node in the power grid fails, due to the complex cooperation relationships in the network, the working load of the faulty node is usually passively (or actively) redistributed to the neighbor nodes, which is the reason for the propagation process of the fault and the possible occurrence of cascading faults. Usually, neighbor nodes with higher importance (such as the degree value k of the node) will receive more working load from the faulty node because they have higher load capacity. Here, in this embodiment, the allocation ratio of the additional working load obtained by neighbor node j from faulty node i is set as follows:

[0061]

[0062] where V i is the neighbor set of faulty node i, the allocation ratio is proportional to the degree value k of the node, and α2 (α2 ≥ 0) is an adjustable parameter in the load redistribution ratio;

[0063] In an ideal state, the additional workload obtained by neighbor node j from failed node i at time t is ΔL i→j (t) = L i (t - 1)P i→j ; However, due to the existence of information propagation, neighbor node j with known status will have a risk awareness, so it cannot fully accept the assigned additional workload, aiming to ensure its own normal operation; Based on this, during the load redistribution process, considering the behavior of neighbor node j with risk awareness actively refusing to accept the additional workload, it can be set that neighbor node j only accepts (1 - δ) of the additional load. Thus, the workload transferred from failed node i to neighbor node j at time t can be described as:

[0064] ΔL i→j (t) = (1 - δ)L i (t - 1)P i→j ;

[0065] Among them, δ is the information propagation probability, δ ∈ (0, 1), which is used to describe the proportion of load redistribution among its neighbors in the case of risk perception. With the continuous propagation of information, the number of nodes with risk awareness is also increasing. Therefore, more and more nodes in the power network do not fully accept load redistribution. As a result, the robustness of the network has changed and shows a gradually increasing trend;

[0066] If the status of neighbor node j is unknown, that is, neighbor node j does not have risk awareness, then the workload transferred from failed node i to neighbor node j at time t can be described as:

[0067] ΔL i→j (t) = L i (t - 1)P i→j .

[0068] In summary, steps S301 - S303 achieve the effective construction of the load redistribution strategy of the power network during the cascading failure process based on the heterogeneous individual behavior of the information propagation dynamics process in the communication network.

[0069] In one embodiment, as Figure 4 shown, step S103 includes steps S401 - S404;

[0070] S401. Calculate the final scale of the nodes that did not fail after the cascading failure;

[0071] S402. Calculate the final largest connected subgraph of the nodes for which the network is still connected after the cascading failure;

[0072] S403. Construct a double - layer scale - free network to simulate the communication - power double - layer network;

[0073] S404. Input the final maximum connected subgraph of the nodes in the network with the final scale that remains connected for the nodes without failures into the double-layer scale-free network, and output the network robustness result.

[0074] In this embodiment, network robustness refers to the ability of a network to maintain its function relatively stable and keep the overall connection when nodes fail. From a global perspective, network robustness is closely related to network stability; therefore, improving network robustness is an important motivation and result of cascade failure research; this embodiment evaluates network robustness from two aspects: network function and network connectivity; this embodiment uses the final scale (Nremain) of the nodes without failures after cascade failure to evaluate network function, and uses the scale of the final maximum connected subgraph to measure the change in network connectivity. The proportion of the largest connected component (LCC) can be defined as:

[0075]

[0076] where, V i represents the set of nodes in the i-th connected component in the network, |V i | represents the number of nodes in this connected component, and |V| represents the total number of all nodes in the network.

[0077] Furthermore, in this embodiment, a scale-free network is used to construct a double-layer scale-free network (BA-BA double-layer network) to simulate the communication-electricity double-layer network, and then explore the specific impact of the strength of individual nodes' risk awareness on network robustness after receiving information. The relevant implementation results can be referred to Figure 8 and Figure 9 . It can be seen that as the value of δ increases, the scale of the remaining maximum connected subgraph of the network and the number of remaining non-failed nodes are larger after attacking the same number of nodes, that is, the network robustness is stronger. This is because individual nodes with risk awareness, in order to ensure their own non-failure, choose to actively reduce the workload assigned to them, and the stronger the risk awareness, the less the additional workload assigned, and the safer they are themselves, so the network robustness is stronger.

[0078] The embodiment of the present invention also provides an adaptive communication-electricity double-layer network design device, and this adaptive communication-electricity double-layer network design device is used to execute any embodiment of the foregoing adaptive communication-electricity double-layer network design method. Specifically, please refer to Figure 5 , Figure 5 is a schematic block diagram of the adaptive communication-electricity double-layer network design device provided by the embodiment of the present invention.

[0079] As Figure 5As shown, the adaptive communication - power double - layer network design device 500 includes: a network construction unit 501, a load distribution unit 502, and an impact analysis unit 503.

[0080] The network construction unit 501 is used to construct a communication network and a power network with nodes coupled one - by - one, obtain a double - layer network, and set the propagation dynamics process of the double - layer network.

[0081] The load distribution unit 502 is used to construct a load redistribution strategy for the power network during the cascading failure process based on the heterogeneous individual behavior of the information propagation dynamics process in the communication network.

[0082] The impact analysis unit 503 is used to analyze the impact of the load redistribution strategy during the cascading failure process.

[0083] This device can obtain the changes in the node states of the power network during the information propagation process. Different changes in the node states will have different performances in the load redistribution process. Therefore, considering the heterogeneous individual behavior based on information propagation and proposing a new load redistribution strategy can better understand and control the cascading failures in the communication - power network, thereby improving the robustness and reliability of the network.

[0084] Those skilled in the art can clearly understand that, for the sake of convenience and brevity of description, the specific working processes of the above - described device and units can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0085] The above - mentioned adaptive communication - power double - layer network design device can be implemented in the form of a computer program, and this computer program can run on a computer device as shown in Figure 6 Figure.

[0086] Please refer to Figure 6 , Figure 6 which is a schematic block diagram of the computer device provided by the embodiment of the present invention. This computer device 600 is a server, and the server can be an independent server or a server cluster composed of multiple servers.

[0087] Referring to Figure 6 , this computer device 600 includes a processor 602, a memory, and a network interface 605 connected through a system bus 601. Among them, the memory can include a non - volatile storage medium 603 and an internal memory 604.

[0088] The non - volatile storage medium 603 can store an operating system 6031 and a computer program 6032. When this computer program 6032 is executed, it can cause the processor 602 to execute the adaptive communication - power double - layer network design method.

[0089] The processor 602 is used to provide computing and control capabilities to support the operation of the entire computer device 600.

[0090] The internal memory 604 provides an environment for the operation of the computer program 6032 in the non-volatile storage medium 603. When the computer program 6032 is executed by the processor 602, the processor 602 can be caused to execute the adaptive communication-power two-layer network design method.

[0091] The network interface 605 is used for network communication, such as providing the transmission of data information, etc. Those skilled in the art can understand that Figure 6 the structure shown in is only a block diagram of some structures related to the solution of the present invention, and does not constitute a limitation on the computer device 600 to which the solution of the present invention is applied. The specific computer device 600 may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0092] Those skilled in the art can understand that Figure 6 the embodiments of the computer device shown in do not constitute a limitation on the specific composition of the computer device. In other embodiments, the computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements. For example, in some embodiments, the computer device may only include a memory and a processor. In such an embodiment, the structures and functions of the memory and the processor are the same as those of Figure 6 the embodiment shown, and will not be described in detail here.

[0093] It should be understood that in the embodiments of the present invention, the processor 602 may be a central processing unit (CPU), and the processor 602 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0094] In another embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium may be a non-volatile computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the adaptive communication-power two-layer network design method of the embodiments of the present invention is implemented.

[0095] The storage medium is a physical and non-transitory storage medium, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a magnetic disk, or an optical disc, etc., which are various physical storage media that can store program codes.

[0096] Those skilled in the art can clearly understand that, for the convenience and conciseness of description, the specific working processes of the above-described devices, apparatuses, and units can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0097] As described above, the above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An adaptive communication - power double - layer network design method, characterized in that, Including: Construct a communication network and a power network with nodes coupled one by one to obtain a bilayer network and set the propagation dynamics process of the bilayer network; Based on the heterogeneous individual behaviors in the information propagation dynamics process of the communication network, construct a load redistribution strategy for the power network during the cascading failure process; Analyze the impact of the load redistribution strategy during the cascading failure process.

2. The adaptive communication-electricity double-layer network design method according to claim 1, wherein The construction of a communication network and a power network with nodes coupled one by one to obtain a bilayer network and set the propagation dynamics process of the bilayer network includes: Construct communication network G I (V I , E I ), and define the information status of each node v I in the node set V i as one of the known status and the unknown status, and the connection relationship E I ; Construct the power network G P (V P , E P ), and define the initial load L P of each node p i in the node set V Pi and the load capacity C pi , as well as the connection relationship E P ; Use the UAU information propagation model to characterize the information propagation dynamics process of the communication network, and use the capacity load model to characterize the fault propagation dynamics process of the power network.

3. The adaptive communication-power double-layer network design method according to claim 1, wherein The construction of the load redistribution strategy for the power network during the cascading failure process based on the heterogeneous individual behaviors in the information propagation dynamics process of the communication network includes: Confirm the node state change process of the neighbor nodes in the communication network under the influence of information propagation, where the node state includes known and risk-aware and unknown and not risk-aware; According to the initial load, load capacity of each node in the power network and external factors affecting the load capacity, define the risk load capacity corresponding to each node; When a fault occurs in the power network, use the communication network to propagate the fault node and related fault information, and confirm the state change of the neighbor nodes of the fault node; according to the state change of the neighbor nodes, distribute the working load of the fault node to the corresponding neighbor nodes within the risk load capacity of the neighbor nodes.

4. The adaptive communication-electricity double-layer network design method according to claim 3, wherein the process of confirming the node state change of the neighbor nodes of the communication network under the influence of information propagation is as follows: The node state includes known and risk-aware and unknown and not risk-aware, including: Confirm the node state change relationship according to the following formula: Among them, δ represents the information propagation probability, A(t) represents the density of nodes at time t, and U(t) represents the density of nodes at time t. They respectively refer to the change rates of nodes in states A and U at time t. μA(t) refers to the process in which nodes in state A forget known information with a certain probability μ and return to state U.

5. The adaptive communication-power double-layer network design method according to claim 4, wherein The definition of the risk load capacity corresponding to each node according to the initial load, load capacity of each node in the power network and external factors affecting the load capacity includes: Set the initial risk load capacity of the power network in a dynamically stable state to be L according to the initial loads and load capacities of the nodes in the power network i (0): where N is the number of nodes in the power grid, and k i is the degree of node i, and α and β are adjustable parameters for controlling the initial load intensity of the nodes, respectively; Considering the external factors affecting the load capacity in the power network, optimize the final risk load capacity of each node to C i : C i =(1 + λ)L i (0); Among them, λ (λ>0) represents the parameter of the maximum working load that node i can accommodate in the power network. The larger the value of λ, the stronger the risk load capacity of the node and the smaller the possibility of failure.

6. The adaptive communication - power double - layer network design method according to claim 5, wherein, When a fault occurs in the power network, use the communication network to propagate the fault node and related fault information, and confirm the state change of the neighbor nodes of the fault node; According to the state change of the neighbor nodes, distribute the working load of the fault node to the corresponding neighbor nodes within the risk load capacity of the neighbor nodes, including: When a fault occurs in the power network, calculate the allocation ratio P of the workload of the faulty node i transferred to the corresponding neighbor node j i→j : Among them, Neigh i is the neighbor set of the faulty node i, the allocation ratio is proportional to the degree value k of the node, and α2 (α2≥0) is an adjustable parameter in the load redistribution ratio; After the communication network propagates information about the faulty node and related fault information, obtain the change in the node state of neighbor node j, and calculate the workload △L transferred from faulty node i to the corresponding neighbor node j at time t according to the following formula i→j :[[]]END]] ΔL i→j (t) = L i (t - 1)P i→j ; (1) ΔL i→j (t) = (1 - δ)L i (t - 1)P i→j ; (2) Among them, formula (1) represents the working load transferred from fault node i to neighbor node j without risk awareness at time t; formula (2) represents the working load transferred from fault node i to neighbor node j with risk awareness at time t.

7. The adaptive communication-electricity double-layer network design method according to claim 1, wherein The analysis of the impact of the load redistribution strategy during the cascading failure process includes: Calculate the final scale of the nodes that have not failed after the cascading failure; Calculate the final largest connected subgraph of the nodes that the network is still connected after the cascading failure; Construct a bilayer scale-free network to simulate the communication-power bilayer network; Input the final maximum connected subgraph of the nodes whose final scale network of the nodes without failures is still connected into the double-layer scale-free network, and output the network robustness result.

8. An adaptive communication - power double - layer network design device, characterized in that, It includes: A network construction unit, configured to construct a communication network and a power network with one-to-one coupling of nodes, obtain a double-layer network, and set the propagation dynamics process of the double-layer network; A load distribution unit, configured to construct a load redistribution strategy of the power network during the cascading failure process based on the heterogeneous individual behavior of the information propagation dynamics process in the communication network; An influence analysis unit, configured to analyze the influence of the load redistribution strategy during the cascading failure process.

9. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the adaptive communication-power double-layer network design method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the processor is caused to execute the adaptive communication-power double-layer network design method according to any one of claims 1 to 7.

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