Anti-attack communication network fault cascade risk influence analysis method

Abstract

The invention relates to an anti-attack communication network fault cascade risk influence analysis method, and belongs to the technical field of the network. The method comprises the following steps:S1, establishing a coupling network model: establishing a power network model, establishing an overall network model, and refining the overall network model; S2, analyzing the coupling network model:respectively giving out the clear definition of the power system node fault and the communication network node fault; analyzing a necessary condition for the fault formation on the basis of the cleardefinition; introducing a virtual backbone network concept by adopting the thought of damaging the necessary condition based on the considerations of avoiding or inhibiting the fault occurrence and optimizing the communication sub-network; and finally putting forward an important node group backup optimization strategy. Through the adoption of the anti-attack communication network fault cascade risk influence analysis method disclosed by the invention, the important node group backup optimization algorithm of a power communication network is put forward by comprehensively considering the influence on the power communication network by the physical attribute of an optical cable based on the complicated network theory, the production of the cascade fault can be well inhibited under the fault attack condition, and the robustness of the power communication network is effectively improved.

Description

technical field [0001] The invention belongs to the field of network technology, and relates to an anti-attack communication network fault cascading risk impact analysis method. Background technique [0002] The smart grid is a network that couples the power system and the communication network, and network devices such as routers in the communication network need power from the power system, and the dispatching and intelligent decision-making of the power system requires the transmission and control of the communication network. Therefore, the power network and the communication network form a Heterogeneously coupled interdependent and mutually beneficial networks. The unique nature of interdependent coupling has attracted the attention of many researchers. Some researchers have explored mutual benefit and the coupling relationship of edges in heterogeneous networks, and some researchers have studied the coupling system of substations equipped with advanced intelligent dev...

AI Technical Summary

Problems solved by technology

Although Scheme 1 can comprehensively consider the risk and load of the power communication network and effectively reduce the risk of the power communication network, its working process does not consider the coupling relationship between the power communication network and the power network, and does not minimize cascading faults. Research is given on the backup mechanism of network nodes or link resources; scheme 2 considers the risk assessment of the data network, and only proposes to choose the reliability of connectivity as the evaluation index for the failure of the power communication network, and does not give a way to optimize the evaluation results; Option 3 is also an assessment of various risk indicators. It provides a calculation system for evaluation indicators, and does not give specific steps and algorithms for how to reduce risks.

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