Mitigating cascading failures in interdependent power grids and communication networks

Parandehgheibi, Marzieh; Modiano, Eytan; Hay, David

doi:10.1109/smartgridcomm.2014.7007653

Cited by 87 publications

(39 citation statements)

References 12 publications

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“…Second, the physical mechanisms of cascading within networks (see Fig. 1) and between interdependent networks3536 differ from those of percolation1737 and sandpile27 models. In order to understand the extent to which insights from abstracted network models can be useful for particular examples of interdependence (such as power and communications networks), comparisons are needed between simple models and those that capture the topology, physics, and coupling of particular infrastructure systems in more detail.…”

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confidence: 99%

Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence

Korkali

Veneman

Tivnan

et al. 2017

Sci Rep

137

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Increased interconnection between critical infrastructure networks, such as electric power and communications systems, has important implications for infrastructure reliability and security. Others have shown that increased coupling between networks that are vulnerable to internetwork cascading failures can increase vulnerability. However, the mechanisms of cascading in these models differ from those in real systems and such models disregard new functions enabled by coupling, such as intelligent control during a cascade. This paper compares the robustness of simple topological network models to models that more accurately reflect the dynamics of cascading in a particular case of coupled infrastructures. First, we compare a topological contagion model to a power grid model. Second, we compare a percolation model of internetwork cascading to three models of interdependent power-communication systems. In both comparisons, the more detailed models suggest substantially different conclusions, relative to the simpler topological models. In all but the most extreme case, our model of a “smart” power network coupled to a communication system suggests that increased power-communication coupling decreases vulnerability, in contrast to the percolation model. Together, these results suggest that robustness can be enhanced by interconnecting networks with complementary capabilities if modes of internetwork failure propagation are constrained.

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mentioning

confidence: 99%

Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence

Korkali

Veneman

Tivnan

et al. 2017

Sci Rep

137

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“…However, the cross layer restorations can recover from high degrees of failures, such as multipoint and concurrent failures. 5) Robust Power Grid: The lack of a reliable communication infrastructure for power grid management was one the many reasons for the widespread blackout in the Northeastern U.S.A. in the year 2003, which affected the lives of 50 million people [414]. Since then building a reliable communication infrastructure for the power grid has become an important priority.…”

Section: Sdn Orchestratorsmentioning

confidence: 99%

Software Defined Optical Networks (SDONs): A Comprehensive Survey

Thyagaturu

Mercian

McGarry

et al. 2016

IEEE Commun. Surv. Tutorials

305

129

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The emerging Software Defined Networking (SDN) paradigm separates the data plane from the control plane and centralizes network control in an SDN controller. Applications interact with controllers to implement network services, such as network transport with Quality of Service (QoS). SDN facilitates the virtualization of network functions so that multiple virtual networks can operate over a given installed physical network infrastructure. Due to the specific characteristics of optical (photonic) communication components and the high optical transmission capacities, SDN based optical networking poses particular challenges, but holds also great potential. In this article, we comprehensively survey studies that examine the SDN paradigm in optical networks; in brief, we survey the area of Software Defined Optical Networks (SDONs). We mainly organize the SDON studies into studies focused on the infrastructure layer, the control layer, and the application layer. Moreover, we cover SDON studies focused on network virtualization, as well as SDON studies focused on the orchestration of multilayer and multidomain networking. Based on the survey, we identify open challenges for SDONs and outline future directions

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“…In this work, we follow the cascading failure model described in [1] which has since been widely used in the literature as the basis of several studies (e.g., [2], [19], [20], [21]). In this model, a cascading failure begins with the failure (i.e., removal) of a fraction, 1 p of nodes from network A.…”

Section: B Cascading Failure Modelmentioning

confidence: 99%

Resilience of interdependent communication and power distribution networks against cascading failures

Chai

Kyritsis

Κατσαρός

et al. 2016

2016 IFIP Networking Conference (IFIP Networking) and Workshops

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Abstract-The operations of many modern cyber-physical systems, such as smart grids, are based on increasingly interdependent networks. The impact of cascading failures on such networks has recently received significant attention due to the corresponding effect of these failures on the society. In this paper, we conduct an empirical study on the robustness of interdependent systems formed by the coupling of power grids and communication networks by putting real distribution power grids to the test. We focus on the assessment of the robustness of a large set of medium-voltage (MV) distribution grids, currently operating live in the Netherlands, against cascading failures initiated by different types of faults / attacks. We consider both unintentional random failures and malicious targeted attacks which gradually degrade the capability of the entire system and we evaluate their respective consequences. Our study shows that current MV grids are highly vulnerable to such cascades of failures. Furthermore, we discover that a small-world communication network structure lends itself to the robustness of the interdependent system. Also interestingly enough, we discover that the formation of hub hierarchies, which is known to enhance independent network robustness, actually has detrimental effects against cascading failures. Based on real MV grid topologies, our study yields realistic insights which can be employed as a set of practical guidelines for distribution system operators (DSOs) to design effective grid protection schemes.

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Mitigating cascading failures in interdependent power grids and communication networks

Cited by 87 publications

References 12 publications

Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence

Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence

Software Defined Optical Networks (SDONs): A Comprehensive Survey

Resilience of interdependent communication and power distribution networks against cascading failures

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