Modern countermeasurus to blackouts

Pourbeik, P.; Bahrman, M.; John, E.M.; Wong, W.K.

doi:10.1109/mpae.2006.1687816

Cited by 17 publications

(12 citation statements)

References 8 publications

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“…For instance, a reliable supply of electric power fundamentally underlies the function of most of our technical infrastructure [1][2][3][4][5][6]. In periods of high loads, the breakdown of single infrastructures such as transmission lines can cause a global cascade of failures implying large-scale outages with potentially catastrophic consequences [3,[7][8][9][10][11][12][13][14][15]. Periods of extreme loads are expected to become more likely in future grids as power from renewable sources, such as wind turbines, is often generated far away from the consumers (e.g.…”

Section: Introductionmentioning

confidence: 99%

Critical Links and Nonlocal Rerouting in Complex Supply Networks

et al. 2016

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Link failures repeatedly induce large-scale outages in power grids and other supply networks. Yet, it is still not well understood which links are particularly prone to inducing such outages. Here we analyze how the nature and location of each link impact the network's capability to maintain a stable supply. We propose two criteria to identify critical links on the basis of the topology and the load distribution of the network prior to link failure. They are determined via a link's redundant capacity and a renormalized linear response theory we derive. These criteria outperform the critical link prediction based on local measures such as loads. The results not only further our understanding of the physics of supply networks in general. As both criteria are available before any outage from the state of normal operation, they may also help real-time monitoring of grid operation, employing countermeasures and support network planning and design.

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Section: Introductionmentioning

confidence: 99%

Critical Links and Nonlocal Rerouting in Complex Supply Networks

et al. 2016

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“…Notably, most large-scale outages can be traced back to the failure of a single transmission element of our power supply system [7]. The initial failure then causes secondary failures in other elements of the grid and eventually a global cascade.…”

Section: Introductionmentioning

confidence: 99%

Nonlocal effects and countermeasures in cascading failures

Witthaut

Timme

2015

Phys. Rev. E

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We study the propagation of cascading failures in complex supply networks with a focus on nonlocal effects occurring far away from the initial failure. It is shown that a high clustering and a small average path length of a network generally suppress nonlocal overloads. These properties are typical for many real-world networks, often called small-world networks, such that cascades propagate mostly locally in these networks. Furthermore, we analyze the spatial aspects of countermeasures based on the intentional removal of additional edges. Nonlocal actions are generally required in networks which have a low redundancy and are thus especially vulnerable to cascades.

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“…But can it be used to estimate the effects of major changes such as the complete outage of an edge? This is especially important for electric power grids, where transmission line failures repeatedly induce large-scale outages (see, e.g., [34][35][36][37][38][39][40]). Thus any method that helps to predict the stability of a grid after the failure of a single edge is extremely valuable.…”

Section: A From Small To Large Changesmentioning

confidence: 99%

Network susceptibilities: Theory and applications

et al. 2017

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We introduce the concept of network susceptibilities quantifying the response of the collective dynamics of a network to small parameter changes. We distinguish two types of susceptibilities: vertex susceptibilities and edge susceptibilities, measuring the responses due to changes in the properties of units and their interactions, respectively. We derive explicit forms of network susceptibilities for oscillator networks close to steady states and offer example applications for Kuramoto-type phase-oscillator models, power grid models, and generic flow models. Focusing on the role of the network topology implies that these ideas can be easily generalized to other types of networks, in particular those characterizing flow, transport, or spreading phenomena. The concept of network susceptibilities is broadly applicable and may straightforwardly be transferred to all settings where networks responses of the collective dynamics to topological changes are essential.

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Modern countermeasurus to blackouts

Cited by 17 publications

References 8 publications

Critical Links and Nonlocal Rerouting in Complex Supply Networks

Critical Links and Nonlocal Rerouting in Complex Supply Networks

Nonlocal effects and countermeasures in cascading failures

Network susceptibilities: Theory and applications

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