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Sequential Recovery of Complex Networks Suffering From Cascading Failure Blackouts
IEEE Transactions on Network Science and Engineering ( IF 6.6 ) Pub Date : 2020-07-22 , DOI: 10.1109/tnse.2020.3008799
Jiajing Wu , Zhenhao Chen , Yihan Zhang , Yongxiang Xia , Xi Chen

Over the past decades, prevention and mitigation against cascading failure blackouts in complex networked systems have been extensively studied. In reality, the functional and structural restoration of complex networks suffering from large-scale cascading failures may involve a sequence of repairing actions. In this paper, we propose a novel sequential recovery model that takes into consideration both the operating mechanism of complex power transmission networks and potential cascading failures triggered during the recovery process. From a complex network perspective, we introduce a new tool called the sequential recovery graph (SRG) to identify the critical nodes and the order of their restorations which lead to better performance in the recovery process. We further develop a practical sequential recovery strategy based on SRG. We perform simulations on three benchmark power grids and five baseline methods for performance comparison. Simulation results and complexity analysis demonstrate the effectiveness and low computational complexity of the proposed SRG-based strategy.

中文翻译:

级联故障停电的复杂网络的顺序恢复

在过去的几十年中,针对复杂网络系统中级联故障停电的预防和缓解措施已得到广泛研究。实际上,遭受大规模级联故障的复杂网络的功能和结构恢复可能涉及一系列修复操作。在本文中,我们提出了一种新颖的顺序恢复模型,该模型同时考虑了复杂输电网络的运行机制和在恢复过程中触发的潜在级联故障。从复杂的网络角度来看,我们引入了一种称为顺序恢复图(SRG)的新工具,用于识别关键节点及其恢复顺序,从而在恢复过程中获得更好的性能。我们进一步开发了基于SRG的实用顺序恢复策略。我们在三个基准电网和五个基准方法上进行仿真以进行性能比较。仿真结果和复杂度分析证明了所提出的基于SRG的策略的有效性和较低的计算复杂度。
更新日期:2020-07-22
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