Smart power grid node vulnerability assessment method, system and device, and storage medium

Abstract

The invention belongs to the field of smart power grid safety, and discloses a smart power grid node vulnerability assessment method, system and device, and a storage medium, and the method comprises the steps: obtaining the network topology of a smart power grid; according to the network topology of the smart power grid, obtaining the association importance, the position importance, the mediation centrality, the network connectivity loss under a node deletion method, the node embedding vector and the expansion mediation centrality of each node of the smart power grid; according to the association importance degree, the position importance degree and the mediation centrality of each node of the smart power grid, the network connectivity loss under a node deletion method, the node embedding vector and the expansion mediation centrality, constructing a feature vector of each node of the smart power grid; and inputting the feature vector of each node of the smart power grid into a preset vulnerability analysis model based on a machine learning classifier to obtain the vulnerability of each node of the smart power grid. The analysis accuracy of the node vulnerability is greatly improved, the method does not depend on a complex fault model any more, the expansibility is very high, and the calculation complexity is reduced.

Description

technical field [0001] The invention belongs to the field of smart grid security, and relates to an evaluation method, system, equipment and storage medium for node vulnerability of smart grids. Background technique [0002] As one of the important infrastructures, smart grid is related to national life, social stability and economic development. With the development of information and communication technology, the smart grid has gradually become a power cyber-physical fusion system that is closely integrated with the power system and communication network. [0003] While bringing a lot of economic benefits, the smart grid is also facing increasing security issues. Various attack methods proposed in existing studies have proved that the smart grid is relatively vulnerable to network and physical attacks. When a node fails or is damaged The cascading faults caused by the failure caused by the attack will cause a large-scale power interruption of the power grid and cause huge...

AI Technical Summary

Problems solved by technology

[0004] However, some of the existing smart grid node vulnerability analysis methods are often limited to using only the information of the current smart grid topology for node vulnerability analysis. The analysis often only uses a single feature, and cannot mine the common features of a large number of vulnerable topological nodes. The local topological structure of the nodes is not considered, the physical properties of the power system are not combined with the graph properties of the power grid topology, there is a lack of intersection between features, and the accuracy is low

Another part of the method relies on building a complete fault physical model, which has high computational complexity and low analysis accuracy, and is not suitable for the needs of fast and accurate analysis of the vulnerability of smart grid nodes

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