System resilience enhancement: Smart grid and beyond

Huang, Gang; Wang, Jianhui; Chen, Chen; Guo, Chuangxin; Zhu, Bingquan

doi:10.15302/j-fem-2017030

Cited by 45 publications

(17 citation statements)

References 82 publications

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“…According to [12] there are some challenges regarding IIES resilience. The first issue is the great uncertainty linked with penetration of distributed energy resources into the power generation mix.…”

Section: Iies Resilience Research Processmentioning

confidence: 99%

Research on the resilience of the intelligent integrated energy systems

Barakhtenko¹,

Sokolov²,

Edelev³

et al. 2019

The International Workshop on Information, Computation, and Control Systems for Distributed Environments 2019

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The paper addresses the research of intelligent integrated energy systems resilience that is the system ability to withstand large disturbances and prevent their cascade development with massive energy shortage. The scheme of intelligent integrated energy systems resilience research is presented in the paper. It involves the disturbance scenarios formation, the evaluation of consequences of disturbance impact on energy systems, the assessment of the effectiveness and feasibility of the resilience enhancement steps. The scheme helps an expert to select specific resilience enhancement steps and to make decision whenever to implement them.

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Section: Iies Resilience Research Processmentioning

confidence: 99%

Research on the resilience of the intelligent integrated energy systems

Barakhtenko¹,

Sokolov²,

Edelev³

et al. 2019

The International Workshop on Information, Computation, and Control Systems for Distributed Environments 2019

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“…The multiobjective evolutionary algorithm, MO‐PSDA, was implemented to deal with the complexity of the proposed problem. The obtained solutions can help in identifying a network's vulnerability and guide the decision maker to conduct further optimization of critical infrastructures, such as reliability redundancy allocation and inspection, while considering the possibility of overloading and its influence.…”

Section: Conclusion and Future Researchmentioning

confidence: 99%

Influence of overloading on the reliability and critical components of networked critical infrastructures

Zhu

Zhang

Ouyang

2018

Quality & Reliability Eng

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The economic development and social well‐being of modern societies are highly dependent on networked critical infrastructures to satisfy the necessary demand. In the case that the prescribed demand cannot be satisfied with each component of a network normally loaded, certain components need to be overloaded. To study the influence of overloading on the network reliability, this research proposes a new flow‐redistribution rule based on minimal cuts to determine the components to overload when necessary and the way to redistribute the network flow. The proposed rule can help to keep the prescribed demand for a network satisfied, while trying to minimize the adverse influence of overloading on the network reliability. Based on the proposed rule, we then propose a bi‐objective optimization model to identify a network's critical components that, among all the possible combinations of components with the same amount, influence the network reliability the most when incapacitated, while considering the possibility of overloading and its influence on the reliability.

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“…The stages of planning, preparation, absorption and resistance represents that the system adapts to the requirements of the new situation, and the recovery stage returns the system to normal operation. In other words, the resilience is the system's ability to adapt to various large disturbances and recover to the state in that the system was before their impact [5].…”

Section: Introductionmentioning

confidence: 99%

Application of high-performance computing for determining critical components of an energy system

et al. 2020

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This article presents a package for analyzing the energy system vulnerability developed with new technology for continuous integration, delivery, and deployment of applied software. It implements a framework that allows combining and optimally using various methods for modelling energy systems and provides the comprehensive assessment of their vulnerability with regard to various uncertainties. The essential principles to identify and rank critical elements of an energy system are considered in the article. The investigations made with the package shown that the principles seem to be logical for the subsequent construction of the invariant set of measures for improving the energy system resilience.

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System resilience enhancement: Smart grid and beyond

Cited by 45 publications

References 82 publications

Research on the resilience of the intelligent integrated energy systems

Research on the resilience of the intelligent integrated energy systems

Influence of overloading on the reliability and critical components of networked critical infrastructures

Application of high-performance computing for determining critical components of an energy system

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