Identification of Important Nodes in Power-Information Coupled Network

Liu, Fangyu; Xie, Gang; Zhao, Zhengpeng

doi:10.1109/cac51589.2020.9327674

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…In order to avoid that the average distance of the network in (17) becomes infinite due to isolated nodes. This problem can be avoided by the reciprocal of the reciprocal mean.…”

Section: )The Maximum Network Connectivitymentioning

confidence: 99%

“…Complex network theory provides an effective theoretical basis for the identification of important nodes and vulnerability analysis of networks [3][4][5]. How to effectively identify the important nodes of the network and analyze their impact on the network vulnerability, so as to effectively avoid the occurrence of the above blackout accidents, which has important research significance for improving the invulnerability of the network and reducing the operation risk of the power system.…”

Section: Introductionmentioning

confidence: 99%

“…Different from the above algorithms that only consider the network topology, Li et al [17] emphasized that the impact of various power services on node importance evaluation. Gan et al [18] comprehensively considered the three aspects of close centrality, between centrality and the service carried by the node, and calculated the ranking of important nodes of the network based on the gray correlation algorithm.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of Cross-Layer Network Vulnerability of Power Communication Network Based on Multi-Dimensional and Multi-Layer Node Importance Analysis

et al. 2022

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Power communication network (PCN) is the cornerstone of the stable operation of smart grid. The evaluation of the essential vulnerability of the PCN based on the node importance is advantageous to the protection of critical nodes and the improvement of the reliability and controllability of the system. So, firstly, this paper establishes a multi-index evaluation system for the analysis of important nodes. Based on the site operation level, site load capacity, network topology, service flow, service quality requirements and security operation requirements, the network characteristics of nodes are divided into four layers to describe. Meanwhile, the characteristics of node topology are subdivided into three dimensions to analyze. Then, fully considering the coupling between power network and communication network, a multi-dimensional and multi-layer node importance (MMNI) model based on entropy weight method is proposed. Combined the long-term and short-term vulnerability loss, the node cross-layer vulnerability loss (CVL) function and network cross-layer loss entropy (CVE) model are proposed. Finally, based on the actual power communication network, under different attacks and fault strategies, the changes of maximum network connectivity and network cross layer loss entropy are compared. It shows the effectiveness and accuracy of the MMNI model for the analysis and evaluation of important nodes and it provides a theoretical basis for key weak point identification and the network optimization.

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“…In order to avoid that the average distance of the network in (17) becomes infinite due to isolated nodes. This problem can be avoided by the reciprocal of the reciprocal mean.…”

Section: )The Maximum Network Connectivitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%