Cascading risk assessment in power-communication interdependent networks

Wang, Zhuoyang; Guo, Chuan Fei; Liu, Long; Hill, David J.

doi:10.1016/j.physa.2019.01.065

Cited by 22 publications

(15 citation statements)

References 12 publications

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“…The local node in a physical power grid failure may cause a remote power flow across limits, thus influencing a distant node. Without considering the possible influence of the communication layer and investigation on the coupling effect, it is difficult to accurately describe the failure process by modeling CPPS cascading failures based on only a physical layer [30]- [35]. Therefore, [23] considers the control role of the communication layer and the influence of the uninterruptible power system (UPS), which can schedule the power flow state of the physical layer and reduce the influence range of failure at the physical layer.…”

Section: Related Workmentioning

confidence: 99%

A Cascading Failure Model Considering Operation Characteristics of the Communication Layer

et al. 2021

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The coupling of communication networks plays an indispensable role in modern power systems; however, it also leads to many problems due to cascading failure. Although most current research focuses on the single-layer, non-interacting system and physical layer network, few studies have combined the complex network theory to ignore the influence of communication networks. To address this problem, this paper introduces a cascading failure model of a cyber physical power system (CPPS) that considers the operation characteristics of the communication layer, especially the influence of transmission delay and connectivity on stability control. First, the influence mode of the communication layer failure node acting on the physical layer is analyzed, and the interaction mechanism between the communication layer and physical layer is clarified. Furthermore, the propagation process of failure in the CPPS system is modeled, and the influence of information transmission delay on the stability control process is considered. In this manner, the development process of cascading failure in a CPPS system is described accurately. Finally, according to the loss rate of the physical layer load, the influence of the communication layer node is evaluated to verify the accuracy of the model. This paper also provides a practical model of a CPPS system, which is helpful for building a secure and reliable energy Internet. INDEX TERMS Cascading failure, communication delay, complex network, cyber physical power system, stability control.

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Section: Related Workmentioning

confidence: 99%

A Cascading Failure Model Considering Operation Characteristics of the Communication Layer

et al. 2021

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“…Meanwhile, let d 1 (t) = d 2 (t) = cos(t)+1, Γ be a unit matrix of appropriate dimension, and a 1 = a 2 = γ = 1. Furthermore, we assume initial values for the adaptive law are p 3,4,5), and feedback gains α 1 i ¼ α 2 i ¼ 0:001. Let the initial values of the isolated systems of subnets G 1 and G 2 be (3,2,0.5) and (0.55,0.12,1), respectively.…”

Section: Simulationsmentioning

confidence: 99%

“…From then on, the investigation of interdependent networks become an issue of focus in the field of network science. Nowadays, a lot of results related to interdependent networks have been reported in the existing literature, [2][3][4][5][6][7][8][9][10][11] such as robustness analysis, 2,3 cascading failure, 4,5 synchronization, 6,7 evolutionary games, 8 controllability, 9 and topology identification. 10 Wei et al 11 investigated cooperative spreading processes on an interconnected network with or without interlayer degree correlations and illustrated that cooperative spreading processes promote the spread of diseases.…”

Section: Introductionmentioning

confidence: 99%

Iterative learning heterogeneous trajectory tracking for partially interdependent networks

Guo

Chai

et al. 2021

Asian Journal of Control

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Trajectory tracking is a hot topic in the field of complex systems. In this paper, based on the Lyapunov stability theory, combined with the adaptive iterative learning control method, the heterogeneous trajectory tracking of partially interdependent networks is investigated in a given finite time interval. The considered network consists of two subnets, where only the first m nodes are intercoupled. Firstly, some suitable iterative learning controllers, as well as the adaptive laws and the coupling strength learning laws, are designed for each node. Secondly, the boundedness and the convergence of the signals are proved using the proposed control strategy. Finally, some simulations are presented to illustrate the effectiveness and feasibility of the theoretical results presented in this paper. Generally, the accuracy trajectory tracking is found almost proportional to the number of iterations. When the number of iterations is fixed, with the increasing number of nodes having interdependence, the time required to track target accurately is reduced.

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“…Previous studies have developed a series of measures to enhance the reliability of the power network against high-frequency low-impact disturbances [4,5]. However, low-frequency extreme events, such as cyberattacks and hostile attacks, can also cause multiple physical damage and lead to sharp performance degradation of the power network.…”

Section: Introductionmentioning

confidence: 99%

Bottlenecks Identification and Resilience Improvement of Power Networks in Extreme Events

Zhang

Xia

et al. 2022

Front. Phys.

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Extreme events are always accompanied with extensive failures and sharp performance degradation in the power network. This study aims to derive an effective scheme to identify the transmission bottlenecks and improve the power network’s resilience under extreme events. A greedy search scheme is designed for the quick and slow restoration stage to obtain the largest power supply (LPS), which is a significant engineering indicator of the power network. In the quick restoration stage, we use interior point optimization to adjust the operating parameters of undamaged components and maximize the LPS with limited resources. It is worth pointing out that the LPS cannot be further improved, even by increasing the capacities of most transmission links. This phenomenon is due to the existence of transmission bottlenecks, which operate at their capacity limits. Thus, in the slow restoration stage, we identify these transmission bottlenecks and further improve the LPS by expanding the capacities of these links. Case studies show that the proposed greedy search scheme can not only greatly improve the LPS available to the post-disaster network but can also accurately identify the transmission bottlenecks. This work provides practical insights for building resilient infrastructures, although the power network is the object of study.

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Cascading risk assessment in power-communication interdependent networks

Cited by 22 publications

References 12 publications

A Cascading Failure Model Considering Operation Characteristics of the Communication Layer

A Cascading Failure Model Considering Operation Characteristics of the Communication Layer

Iterative learning heterogeneous trajectory tracking for partially interdependent networks

Bottlenecks Identification and Resilience Improvement of Power Networks in Extreme Events

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