计算机科学
网格
级联故障
电力传输
生存能力
软件部署
脆弱性(计算)
分布式计算
可扩展性
脆弱性评估
智能电网
电力系统
电网
可靠性工程
功率(物理)
计算机网络
计算机安全
工程类
心理弹性
电气工程
地理
物理
操作系统
数据库
量子力学
心理治疗师
心理学
大地测量学
作者
Andrey Bernstein,Daniel Bienstock,David Hay,Meric Uzunoglu,Gil Zussman
标识
DOI:10.1109/infocom.2014.6848211
摘要
We consider line outages in the transmission network of the power grid, and specifically those caused by natural disasters or large-scale physical attacks. In such networks, an outage of a line may lead to overload on other lines, thereby leading to their outage. Such a cascade may have devastating effects not only on the power grid but also on the interconnected communication networks. We study a model of such failures and show that it differs from other models used to analyze cascades (e.g., epidemic/percolation-based models). Inspired by methods developed for network-survivability analysis, we show how to identify the most vulnerable locations in the network. We also perform extensive numerical experiments with real grid data to estimate the effects of geographically correlated outages and briefly discuss mitigation methods. The developed techniques can indicate potential locations for grid monitoring, and hence, will have impact on the deployment of the smart-grid networking infrastructure.
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