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Complex Network-Based Transmission Network Vulnerability Assessment Using Adjacent Graphs
IEEE Systems Journal ( IF 4.4 ) Pub Date : 2019-08-22 , DOI: 10.1109/jsyst.2019.2934317
Tianlei Zang , Shibin Gao , Tao Huang , Xiaoguang Wei , Tao Wang

This article proposes an adjacent graph based on the spontaneous faults of an electrical network to assess the electrical network vulnerabilities from the perspective of the overload mechanism. To reveal the propagation features and the adjacent relationships among branches from different angles, fault probability, load shedding, and topological structure-based indices are proposed to define the weights of the directed edges in the adjacent graph. On this basis, according to the physical features of the graph mapped to the electrical network, the improved betweenness based on the complex network theory is proposed to identify the critical branches of the electrical network. Numerical results on an IEEE 118-bus system demonstrate the effectiveness of the proposed method.

中文翻译:

基于相邻图的基于复杂网络的传输网络漏洞评估

本文提出了一种基于电网自发故障的相邻图,以从过载机制的角度评估电网的脆弱性。为了从不同角度揭示分支的传播特征和相邻关系,提出了故障概率,减载和基于拓扑结构的索引,以定义相邻图中有向边的权重。在此基础上,根据映射到电网的图的物理特征,提出了基于复杂网络理论的改进的中间性来识别电网的关键分支。IEEE 118总线系统的数值结果证明了该方法的有效性。
更新日期:2020-04-22
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