Evaluation of the node importance in power grid communication network and analysis of node risk

Menghan Zhou, Lanlan Rui, Xue-song Qiu, Zhen Xia, Biyao Li
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引用次数: 7

Abstract

To make an accurate evaluation of node importance in the power grid communication network, we propose an algorithm based on the communication topology layer and the power grid layer to evaluate the importance of the nodes. On the basis of the node contraction algorithm [7], the cut point is assigned a higher weight to reflect the difference between the key nodes and the non-key nodes. Simultaneously, combined with the characteristics of the power grid, the power factor, power service and node failure probability are added to evaluate node importance of power grid communication network objectively. Compared with the node contraction algorithm, the results show that the algorithm in this paper can better distinguish the importance of nodes, and has great reference value for the evaluation of node importance in the power grid communication network. Finally, the algorithm is applied to node risk analysis. By optimizing power service routing, average node risk of entire network can reduce significantly. Therefore, the reliability of network is improved.
电网通信网络中节点重要性评价与节点风险分析
为了准确评估电网通信网络中节点的重要性,提出了一种基于通信拓扑层和电网层的节点重要性评估算法。在节点收缩算法[7]的基础上,截断点被赋予更高的权值,以反映关键节点与非关键节点之间的差异。同时,结合电网的特点,增加了功率因数、电力服务和节点故障概率,客观地评价了电网通信网节点的重要性。通过与节点收缩算法的比较,结果表明本文算法能够更好地区分节点的重要性,对电网通信网络中节点重要性的评估具有很大的参考价值。最后,将该算法应用于节点风险分析。通过优化供电服务路由,可以显著降低全网平均节点风险。从而提高了网络的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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