A comprehensive framework for vulnerability analysis of extraordinary events in power systems

Sperstad, Iver Bakken; Kjølle, Gerd Hovin; Gjerde, Oddbjørn

doi:10.1016/j.ress.2019.106788

Cited by 57 publications

(41 citation statements)

References 34 publications

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“…The need for increased resilience to resist extreme events of both natural and malicious origin has become more acute. With Critical Infrastructure continuously exposed to threats, especially cyber-attacks, there are severe security implications, most notably in the energy sector which is ranked as one of the most affected sectors with the highest incident costs [5]. Any attack of this nature is likely to have knock-on effects on a country's overall economy and the lives of its citizens.…”

Section: Addressing Complexity and Impacts Of Pandemic In Critical Inmentioning

confidence: 99%

Italian Crisis Management in 2020

Franchina¹,

Calabrese²,

Scatto³

et al. 2021

Issues on Risk Analysis for Critical Infrastructure Protection

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Approaches to risk analysis, crisis management and resilience enhancement for Critical Infrastructure (CI) Protection will be considered starting from a case study related to the management of the pandemic in Italy. Business continuity and crisis management models for CI are analyzed aiming to deal with complexity and reduce uncertainty relating pandemic and long-time crisis. Furthermore, is presented a methodology highlighting the functioning of the Italian Civil Protection and its systemic nature: a complex apparatus made up of different elements and organizations, which derives from the functioning of different organizational systems in interaction with each other. As a baseline for the coordination management the Augustus Method is considered for its strategical, tactical and operational aspects. One of the main outputs of the research consists in creating a “what if” forecasting model, configured as a visualization of the propagation of negative effects on the supply chain and manpower over time.

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Section: Addressing Complexity and Impacts Of Pandemic In Critical Inmentioning

confidence: 99%

Italian Crisis Management in 2020

Franchina¹,

Calabrese²,

Scatto³

et al. 2021

Issues on Risk Analysis for Critical Infrastructure Protection

View full text Add to dashboard Cite

show abstract

“…Several concepts seek to characterize a system's functional response during periods of vulnerability, describing how the system minimizes losses, how it maintains desired functions, and its rate of recovery (Galaitsi et al 2020). Vulnerability can be defined as the problems a system faces to maintain its function after an accumulation of risk leads to an unwanted event (Sperstad et al 2019). These vulnerabilities can be a result of the interdependencies between system components, each with its own sets of risk that can compound into systemic risks (Hynes et al 2020;Golan et al 2020).…”

Section: Introductionmentioning

confidence: 99%

“…In this survey, we concentrate on the reactive components of power system resilience (following Raoufi et al 2020) by focusing on the electric grid system's ability to withstand low-frequency, high-impact disasters efficiently while minimizing interruption in electricity supply. Resiliency emphasizes the addition of risk from acute events and builds upon system reliability which focuses on inherent risk from recurring events (Akhgarzarandy et al 2021;Izadi et al 2021;Stankovic 2018;Ciapessoni et al 2019;Jufri et al 2019;Sperstad et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Critical Risk Indicators (CRIs) for the electric power grid: a survey and discussion of interconnected effects

Che‐Castaldo

Cousin²,

Daryanto

et al. 2021

Environ Syst Decis

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The electric power grid is a critical societal resource connecting multiple infrastructural domains such as agriculture, transportation, and manufacturing. The electrical grid as an infrastructure is shaped by human activity and public policy in terms of demand and supply requirements. Further, the grid is subject to changes and stresses due to diverse factors including solar weather, climate, hydrology, and ecology. The emerging interconnected and complex network dependencies make such interactions increasingly dynamic, posing novel risks, and presenting new challenges to manage the coupled human-natural system. This paper provides a survey of models and methods that seek to explore the significant interconnected impact of the electric power grid and interdependent domains. We also provide relevant critical risk indicators (CRIs) across diverse domains that may be used to assess risks to electric grid reliability, including climate, ecology, hydrology, finance, space weather, and agriculture. We discuss the convergence of indicators from individual domains to explore possible systemic risk, i.e., holistic risk arising from cross-domain interconnections. Further, we propose a compositional approach to risk assessment that incorporates diverse domain expertise and information, data science, and computer science to identify domain-specific CRIs and their union in systemic risk indicators. Our study provides an important first step towards datadriven analysis and predictive modeling of risks in interconnected human-natural systems.

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“…Furthermore, the effect of fault data injections as cyber‐attacks on inducing potential blackouts as a result of incorrect state estimations is investigated and analyzed in Ref. 9 thoroughly. The rising vulnerability of power systems to extreme weather and climate change 10,11 . Droughts as a form of extreme weather conditions may significantly diminish the availability of water resources for cooling, fuel production, and power production.…”

Section: Introductionmentioning

confidence: 99%

“…It is worth noting that the resiliency concept has been previously compared with five related concepts (including hardening, reliability, stability, sustainability, and vulnerability) in Refs. 4,11,17,19,20. However, to the best of the authors' knowledge, there is no research work in the literature thoroughly analyzing the 10 above‐mentioned damage‐related concepts.…”

Section: Introductionmentioning

confidence: 99%