Dynamically induced cascading failures in power grids.

Dynamically induced cascading failures in power grids.
复制标题

DOI:
10.1038/s41467-018-04287-5
复制
发表时间:
2018-05-17
影响因子:
16.6
通讯作者:
Latora V
Latora V
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Schäfer B;Witthaut D;Timme M;Latora V

文献摘要

参考文献

被引文献

相似文献

基础设施网络的可靠运作对我们的现代社会至关重要。级联故障是大多数大规模网络中断的原因。虽然级联故障往往表现出动态瞬变,级联建模至今主要集中在稳态序列的分析。在这篇文章中,我们专注于电力传输网络,并介绍了一个框架,考虑到级联的基于事件的性质和网络动态的要素。我们发现,在电网的流量的顺序秒的瞬态发挥了至关重要的作用,集体行为的出现。最后,我们提出了一种预测方法,以确定关键线路和部件提前或在操作过程中。总体而言,我们的工作突出了动态引起的故障的相关性,不同的欧洲国家的国家电网的同步动态,并提供了方法来预测和建模级联故障。通信网络和电网可能会遭受级联故障,这可能导致停电。在这里,作者建议调查级联使用动态瞬态的电网,从而确定可能的漏洞,可能仍然未被发现的任何静态的方法。
Reliable functioning of infrastructure networks is essential for our modern society. Cascading failures are the cause of most large-scale network outages. Although cascading failures often exhibit dynamical transients, the modeling of cascades has so far mainly focused on the analysis of sequences of steady states. In this article, we focus on electrical transmission networks and introduce a framework that takes into account both the event-based nature of cascades and the essentials of the network dynamics. We find that transients of the order of seconds in the flows of a power grid play a crucial role in the emergence of collective behaviors. We finally propose a forecasting method to identify critical lines and components in advance or during operation. Overall, our work highlights the relevance of dynamically induced failures on the synchronization dynamics of national power grids of different European countries and provides methods to predict and model cascading failures. Communication networks and power grids may be subject to cascading failures which can lead to outages. Here the authors propose to investigate cascades using dynamical transients of electrical power grids, thereby identifying possible vulnerabilities that might remain undetected with any static approach.
DOI: 10.1038/srep00292
发表时间: 2012
期刊: SCIENTIFIC REPORTS
影响因子: 4.6
作者:
Klemm, Konstantin;Angeles Serrano, M.;Eguiluz, Victor M.;San Miguel, Maxi
通讯作者: San Miguel, Maxi
DOI: 10.1103/physreve.89.032804
发表时间: 2014-03-12
期刊: PHYSICAL REVIEW E
影响因子: 2.4
作者:
Battiston, Federico;Nicosia, Vincenzo;Latora, Vito
通讯作者: Latora, Vito
DOI: 10.1038/35019019
发表时间: 2000-07-27
期刊: NATURE
影响因子: 64.8
作者:
Albert, R;Jeong, H;Barabási, AL
通讯作者: Barabási, AL
DOI: 10.1126/science.1245200
发表时间: 2013-12-13
期刊: SCIENCE
影响因子: 56.9
作者:
Brockmann, Dirk;Helbing, Dirk
通讯作者: Helbing, Dirk
DOI: 10.1038/nenergy.2016.52
发表时间: 2016-04-29
期刊: NATURE ENERGY
影响因子: 56.7
作者:
Ji, Chuanyi;Wei, Yun;Wilcox, Robert
通讯作者: Wilcox, Robert