Dynamics and Steady-State Behavior of Self-Healing Cyber-Physical Networks in Light of Cyber-Node Delays

Behfarnia, Ali; Eslami, Ali

doi:10.1109/glocomw.2016.7848886

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…A new communication infrastructure needs to be designed and implemented to convert the available grid into a smart grid . Several solutions have been proposed in recent years to ensure that the smart grid is reliable and potentially resistant to attack by cyber attacks [53].…”

Section: Protecting the Smart Grid From Cyber-attack By Using Self-healingmentioning

confidence: 99%

Self-Healing In Smart Grid: A Review

Çınar¹,

Kaygusuz²

2018

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

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Today's power systems are based on Tesla's design principles developed in the 1880s and have evolved over time to become the current aspect. Although communication technology is developing very fast, the development of power systems has not been able to keep up with it. Because the structure of the power system used is generally far behind and is unable to respond the needs of the 21st century. With the rapid development of today's technology, it has become possible to make the electricity network better by utilizing the computer and network technologies in the electricity networks. Thus, the electricity networks will provide a sustainable, safe and uninterrupted energy to the consumers by providing bi-directional data and electricity flow. The grids that can do this are called smart grids. One of the most important features of smart grid is that; in the case of a possible outage or fault, self-healing by continuing to provide energy flow.The lower the self-healing time, the less energy will remain in the network and the less time the system will continue to work to renew itself. The methods and tools used to achieve this are discussed in this article.self-healing algorithms and their application areas were surveyed using publications between 2003 and 2017. In the concept of self-improvement, especially transmission, distribution, micro grids, transient stability and cyber attack are explained.

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Section: Protecting the Smart Grid From Cyber-attack By Using Self-healingmentioning

confidence: 99%

Self-Healing In Smart Grid: A Review

Çınar¹,

Kaygusuz²

2018

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

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Error Correction Coding Meets Cyber-Physical Systems: Message-Passing Analysis of Self-Healing Interdependent Networks

Behfarnia

Eslami

2017

IEEE Trans. Commun.

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Abstract-Coupling cyber and physical systems gives rise to numerous engineering challenges and opportunities. An important challenge is the contagion of failure from one system to another, which can lead to large-scale cascading failures. However, the self-healing ability emerges as a valuable opportunity where the overlaying cyber network can cure failures in the underlying physical network. To capture both self-healing and contagion, this paper considers a graphical model representation of an interdependent cyber-physical system, in which nodes represent various cyber or physical functionalities, and edges capture the interactions between the nodes. A message-passing algorithm is proposed for this representation to study the dynamics of failure propagation and healing. By conducting a density evolution analysis for this algorithm, network reaction to initial disruptions is investigated. It is proved that as the number of message-passing iterations increases, the network reaches a steady-state condition that would be either a complete healing or a complete collapse. Then, a sufficient condition is derived to select the network parameters to guarantee the complete healing of the system. The result of the density evolution analysis is further employed to jointly optimize the design of cyber and physical networks for maximum resiliency. This analytical framework is then extended to the cases where propagation of failures in the physical network is faster than the healing responses of the cyber network. Such scenarios are of interest in many real-life applications such as smart grid. Finally, extensive numerical results are presented to verify the analysis and investigate the impact of the network parameters on the resiliency of the network.

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Dynamics and Steady-State Behavior of Self-Healing Cyber-Physical Networks in Light of Cyber-Node Delays

Cited by 2 publications

References 17 publications

Self-Healing In Smart Grid: A Review

Self-Healing In Smart Grid: A Review

Error Correction Coding Meets Cyber-Physical Systems: Message-Passing Analysis of Self-Healing Interdependent Networks

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