A Cascading Failure Model Considering Operation Characteristics of the Communication Layer

Zhang, Geng; Jiawen, Shi; Huang, Shiyan; Wang, Jiye; Jiang, Hao

doi:10.1109/access.2021.3049485

Cited by 8 publications

(6 citation statements)

References 41 publications

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“…1. Optimal routing of information network [2], [10], [16], [19], [82]- [84]; 2. Optimal dispatch of the power system under cyberattacks [85]-[87]; 3.…”

Section: Optimal Operation Of Cppsmentioning

confidence: 99%

“…The interactions between cyber and physical networks are important in power systems stability studies: operational failures or delays in communication networks can result in cascading failures [84]. The coupling between cyber and physical networks can be considered through either adjacency or incidence matrices [35].…”

Section: A Optimal Routing Of Information In Smart Gridsmentioning

confidence: 99%

“…The coupling between cyber and physical networks can be considered through either adjacency or incidence matrices [35]. In [84], the CPPS is modeled by two layers (Fig. 13) to represent their coupling, and the effect of cyber-network delays is considered to ensure the power grid's stability in cascading failures.…”

Section: A Optimal Routing Of Information In Smart Gridsmentioning

confidence: 99%

“…The software package widely used in CPPS optimization is the MATPOWER package in MATLAB. This toolbox can find optimal power flow and provide system parameters for various case studies [39], [45], [55], [58], [61], [65], [73], [74], [75], [84].…”

Section: Solving Optimization Problems In Cppsmentioning

confidence: 99%

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Optimization Models in Cyber-Physical Power Systems: A Review

et al. 2022

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The growing interconnection between information networks and power grids enables a more efficient and economical operation, but also introduces significant challenges in modern cyber-physical power systems, such as malicious cyber-attacks. Several cyber-attacks have been reported in the recent decade, affecting hundreds of thousands of people. These attacks can lead to large power system blackouts, and optimization models are essential tools for optimal decision-making in reliable and secure operation of cyber-physical power systems. In this paper, optimization models in cyber-physical power systems are extensively reviewed and classified based on their applications, including cyber-security and optimal operation. One major application of optimization is in cyber-security evaluation of smart grids. This paper investigates the models to implement cyber-attacks against state estimation, coordinated cyber-physical attacks aiming to cover each other, and financially-motivated attacks in electricity markets; optimal defense strategies and interactions between the attacker and the defender are also introduced. Furthermore, optimization models used in the operation and dispatching of cyber-physical power and energy systems, optimal routing of information networks, and privacy-preserving models are presented. Finally, as solving optimization models is a crucial step in optimal decision-making, solvers in the literature are also introduced.

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“…1. Optimal routing of information network [2], [10], [16], [19], [82]- [84]; 2. Optimal dispatch of the power system under cyberattacks [85]-[87]; 3.…”

Section: Optimal Operation Of Cppsmentioning

confidence: 99%

Section: A Optimal Routing Of Information In Smart Gridsmentioning

confidence: 99%

Section: A Optimal Routing Of Information In Smart Gridsmentioning

confidence: 99%

Section: Solving Optimization Problems In Cppsmentioning

confidence: 99%

See 2 more Smart Citations

Optimization Models in Cyber-Physical Power Systems: A Review

et al. 2022

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“…However, it ignores the cascading failure propagation process between the power network and information network. erefore, some scholars consider the influence of power flow and reveal the cascading failure propagation of CPPS [18][19][20]. However, it does not directly reveal the cascading failure propagation mechanism of CPPS through the interdependent network theory.…”

Section: Introductionmentioning

confidence: 99%

Robustness Analysis of CPPS considering Power Flow Constraints

Zhang

Lin³

et al. 2022

International Transactions on Electrical Energy Systems

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Comprehensively considering the power flow constraints of the power network, the cyber-physical power system (CPPS) network integration model is established by combining with the topological structure information of the power network and information network. The Newton–Raphson method is used to solve the AC power flow distribution in the power network. Based on the interdependent network theory, a CPPS cascading fault analysis procedure considering the power flow constraints is given. Finally, the importance of CPPS network nodes is evaluated and analyzed. Simulation experiments are carried out with the IEEE39 node system as an example. The results show that some electrical components failures in the power network may lead to large-scale transfer of power flow, resulting in overloading of other electrical components or transmission lines. It promotes further cascade propagation of failures in the CPPS network, which eventually leads to a sharp decrease in the robustness of CPPS.

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Robustness of prefabricated construction supply chain network against underload cascading failure

Du,

Li,

Zhang

et al. 2024

RAIRO-Oper. Res.

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A prefabricated construction supply chain(PCSC) is a complex network with high interdependency between entities. After disturbance, it is prone to cascading failure, leading to project delays or budget overruns. Therefore, it is necessary to model a robust network against cascading failure to achieve a sustainable prefabricated construction system. This study explores the functional robustness of a prefabricated construction supply chain network (PCSCN) against underload cascading failure. First, the PCSCN is constructed as a three-echelon supply chain network based on complex network theory, which can characterize the general characteristics of PCSC and provide the network foundation for the subsequent numerical simulation research. Then, a more realistic underload cascading failure model that adds the new element of substitute nodes is established to describe load loss propagation in the PCSCN. Finally, the Order Fulfillment Rate(OFR) is used as the robustness index to quantify network robustness from a functional perspective. The numerical simulation results indicate that in the PCSCN, the larger the initial load is, the more important the node, and component manufacturers are more important than building material suppliers. In addition, the node capacity upper bound parameter α has a positive relationship with robustness, the failure coefficient β has a negative relationship, and the edge weight adjustment coefficient θ has no significant impact on robustness. This research can provide guidance for developing cascade control and defense strategies in PCSCN risk management.

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A Cascading Failure Model Considering Operation Characteristics of the Communication Layer

Cited by 8 publications

References 41 publications

Optimization Models in Cyber-Physical Power Systems: A Review

Optimization Models in Cyber-Physical Power Systems: A Review

Robustness Analysis of CPPS considering Power Flow Constraints

Robustness of prefabricated construction supply chain network against underload cascading failure

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