Determining Node Importance in Graph-Based Modelling of Cyber-Physical Power Systems
Determining Node Importance in Graph-Based Modelling of Cyber-Physical Power Systems
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DOI：
10.1109/upec55022.2022.9917963
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发表时间：
2022-08
期刊：
影响因子：
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通讯作者：
A. H. Dabashi;D. Qiu;G. Taylor;Xin Zhang
中科院分区：
文献类型：
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作者：
A. H. Dabashi;D. Qiu;G. Taylor;Xin Zhang
电力系统已演变为网络物理电力系统（CPPS）。电力系统和网络系统之间日益增长的相互依赖性引入了新的故障源，并引起了额外的安全问题。因此，至关重要的是，要用一个整体系统的方法来研究相互依存程度的提高。虽然电力系统和网络系统在其自身方面已经有了成熟的模型和仿真工具，但还没有建立足够的整体系统分析工具。在评估了整个系统的挑战CPPS建模，本文介绍了一种新的指标，用于确定网络节点的重要性，在基于图的CPPS模型。提出的网络节点重要性指数（CNII）考虑了连锁故障、介数中心性和最短路径的时延，从而提供了一个更准确的电力系统表示。为了证明这种方法的适用性，英国的英国电信21世纪世纪网络（BT 21 CN）与GB传输系统简化模型（GB TSRM）。实验结果表明，该方法提高了准确性和实用性，以及基于图的CPPS模型的网络突发事件分析的适用性。
Electrical power systems have evolved into cyber-physical power systems (CPPS). The increasing interdependence between electrical power systems and cyber systems has introduced new sources of failure as well as causing additional security concerns. Therefore, it is vital to study the increasing level of interdependency using a whole system approach. Whilst power systems and cyber systems have well-matured models and simulation tools in their own regard, adequate whole system analysis tools are yet to be established. After evaluating the whole system challenges of CPPS modelling, this paper introduces a novel index for determining cyber node importance in a graph-based CPPS model. The proposed cyber node importance index (CNII) considers cascading failure, betweenness centrality and the time delay of the shortest paths, which provides a more accurate representation of power systems. To demonstrate the applicability of this approach, the UK’s British Telecom 21st Century Network (BT 21CN) was linked with the GB Transmission System Reduced Model (GB TSRM). Experimental results show the improved accuracy and utility of this method as well as the applicability of analysing cyber contingencies in graph-based CPPS models.