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Power grid vulnerability to geographically correlated failures — Analysis and control implications

机译:电网易受地理位置相关故障的影响—分析和控制含义

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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.
机译:我们考虑电网传输网络中的线路中断,尤其是自然灾害或大规模物理攻击造成的中断。在这样的网络中,一条线路的中断可能导致其他线路的过载,从而导致它们的中断。这样的级联不仅会对电网造成破坏性影响,而且还会对互连的通信网络造成破坏性影响。我们研究了此类故障的模型,并表明它与用于分析级联的其他模型(例如,基于流行病/渗滤的模型)不同。受网络生存能力分析方法的启发,我们展示了如何识别网络中最易受攻击的位置。我们还使用真实的网格数据进行了广泛的数值实验,以评估与地理位置相关的停电所造成的影响,并简要讨论了缓解方法。开发的技术可以指示潜在的网格监视位置,因此将对智能电网网络基础架构的部署产生影响。

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