Cascading Failure Modeling for Circuit Systems Using Impedance Networks: A Current-Flow Redistribution Approach

Jin, Yi; Chen, Yunxia; Lu, Zhendan; Zhang, Qingyuan; Kang, Rui

doi:10.1109/tie.2020.2967672

Cited by 18 publications

(11 citation statements)

References 29 publications

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“…The concepts of uncertain systems, random systems and uncertain random systems are put forward to describe the different uncertainty categories embraced by the systems (see [81]), and considerable belief reliability formulas and importance measure are developed by using uncertainty theory, probability theory and chance theory, respectively. In addition, some researches have also attempted to model the dependence in reliability at the system level using system simulation and surrogate models [124], semi-Markov chain models [125], petri net models [126], and cascading failure models [127].…”

Section: Methodsmentioning

confidence: 99%

Belief Reliability: A Scientific Exploration of Reliability Engineering

Zhang,

Li,

et al. 2024

J. of Syst. Eng. Electron.

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This paper systematically introduces and reviews a scientific exploration of reliability called the belief reliability. Beginning with the origin of reliability engineering, the problems of present theories for reliability engineering are summarized as a query, a dilemma, and a puzzle. Then, through philosophical reflection, we introduce the theoretical solutions given by belief reliability theory, including scientific principles, basic equations, reliability science experiments, and mathematical measures. The basic methods and technologies of belief reliability, namely, belief reliability analysis, function-oriented belief reliability design, belief reliability evaluation, and several newly developed methods and technologies are sequentially elaborated and overviewed. Based on the above investigations, we summarize the significance of belief reliability theory and make some prospects about future research, aiming to promote the development of reliability science and engineering.

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Section: Methodsmentioning

confidence: 99%

Belief Reliability: A Scientific Exploration of Reliability Engineering

Zhang,

Li,

et al. 2024

J. of Syst. Eng. Electron.

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“…He pointed out that if there are isolated nodes or branches in UAV swarm, the overall performance of the swarm will be reduced. e connection probability equation for this model is as follows [37][38][39].…”

Section: Generation Rules Of Uav Swarm Interdependentmentioning

confidence: 99%

Study on Cascading Failure and Elasticity of UAV Swarm Communication Network

Feng

Lin

Zhang

2022

Mathematical Problems in Engineering

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As an important new force in information warfare, the UAV swarm has attracted more and more attention from militarists and scholars of various countries. At present, large-scale and low-cost UAV swarms have been gradually applied to reconnaissance operations. The invulnerability and elasticity of its communication network are the key factors that determine whether the swarm can successfully complete the reconnaissance mission. The research object of this study is the UAV swarm communication network, which performs reconnaissance missions. The swarm network is extracted as a three-layer interdependent network model. We apply scale-free network theory and the new connection probability equation to establish three subnetworks. Then, a three-layer interdependent network is constructed by using the interlayer connection rules of the nodes with the largest degree. The classical M-L model is extended to an interdependent network. An interlayer load redistribution rule is proposed to simulate the cascading failure process of swarm networks. Then, we attack network nodes randomly and observe the invulnerability and elasticity of this network. The simulation results show that the performance of the interdependent network is better than that of the single-layer network due to the effect of the interdependent links. By analyzing the experimental results, some feasible suggestions are put forward to improve the invulnerability and elasticity of reconnaissance UAV swarm communication network.

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“…Reference [4] considered the multiple solutions in direct-current optimal power flow (DCOPF) and showed the choice of the DCOPF solution at each stage has a significant impact on the risk of cascading failures. Reference [5] proposed a current-flow redistribution approach to analyze the cascading failure mechanisms of the circuits. The interdependence model between the power system and dispatching data network is established, and its complex influence on cascading failures is analyzed in [6] and [7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Cascading Failure Evolution Process of High Proportion New Energy Power System

Shen¹,

Sun²,

Zhong³

et al. 2022

J. Phys.: Conf. Ser.

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The strong randomness of new energy, the weak anti-disturbance ability of power electronic equipment, and the interactive influence of multiple uncertainties in the source, network, and load side make the cascading failure evolution process of the high-proportion new energy power system more complicated. In order to reveal the evolution process of cascading failures, based on the defined key characteristic events, this paper divides the evolution process of cascading failures of high proportion new energy power system into the initial stage, development stage, and deterioration stage, and expounds its cascading situation in stages. Based on a DC project, cases with DC system was constructed, and the evolution process of cascading failures in high-proportion new energy power systems was simulated and analyzed.

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Cascading Failure Modeling for Circuit Systems Using Impedance Networks: A Current-Flow Redistribution Approach

Cited by 18 publications

References 29 publications

Belief Reliability: A Scientific Exploration of Reliability Engineering

Belief Reliability: A Scientific Exploration of Reliability Engineering

Study on Cascading Failure and Elasticity of UAV Swarm Communication Network

Analysis of Cascading Failure Evolution Process of High Proportion New Energy Power System

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