Understanding the vulnerability of power-grids to cascading failures using complex-network analysis

使用复杂网络分析了解电网对级联故障的脆弱性

• 批准号: 1828879
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1828879
• 关键词: Understanding; vulnerability; power; grids; cascading

This PhD explores cascading failures in the power-grid using complex network analysis. Within the PhD, a model for simulating cascading failures is developed. This model is used to challenge certain common assumptions in the field. The Strain Elevation Tension Spring (SETS) embeddings framework is developed for analysing the robustness of complex networks and used to compare relative robustness for networks with different loading parameters and topologies. The broad applicability of the SETS algorithm is demonstrated on non-flow graphs and as a clustering method.With the knowledge gained from the simulation model and the SETS embeddings, the threat posed by a cyber-physical attack on the UK power grid is analysed and defensive measures proposed.

本博士利用复杂网络分析探讨了电网中的级联故障。在PhD中，开发了一个模拟级联故障的模型。该模型用于挑战该领域的某些常见假设。为了分析复杂网络的鲁棒性，开发了应变高程张力弹簧（SETS）嵌入框架，并用于比较具有不同加载参数和拓扑结构的网络的相对鲁棒性。证明了SETS算法在非流图和聚类方法上的广泛适用性。利用仿真模型和SETS嵌入所获得的知识，分析了网络物理攻击对英国电网构成的威胁，并提出了防御措施。

项目成果

Don't go chasing artificial waterfalls: Artificial line limits and cascading failures in power grids.

• DOI: 10.1063/1.5115493
• 发表时间: 2019-11
• 期刊: Chaos
• 影响因子: 2.9
• 作者: J. Bourne;A. O'Sullivan;E. Arcaute