Impact of Initial Stressor(s) on Cascading Failures in Power Grids

Shuvro, Rezoan A.; Das, Pankaz; Wang, Zhuoyao; Rahnamay-Naeini, Mahshid; Hayat, Majeed M.

doi:10.1109/naps.2018.8600585

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…The Zipf law does not fit as well with the data when using a traditional administrative definition of cities (Veneri 2013). Blackouts may be subdivided depending on whether a detected blackout produces a continent-wide ripple (cascading) or not (Shuvro et al 2018). Acts of terrorism may have different statistics, depending on whether they are organized for economic causes, or for political causes (Kirk 1983).…”

Section: Appendix A: Finite System-size Effects In Empirical Datamentioning

confidence: 99%

Finite System-Size Effects in Self-Organized Criticality Systems

Aschwanden

2021

Preprint

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We explore upper limits for the largest avalanches or catastrophes in nonlinear energy dissipation systems governed by self-organized criticality (SOC). We generalize the idealized "straight" power low size distribution and Pareto distribution functions in order to accomodate for incomplete sampling, limited instrumental sensitivity, finite system-size effects, "Black-Swan" and "Dragon-King" extreme events. Our findings are: (i) Solar flares show no finite system-size limits up to L < ∼ 200 Mm, but solar flare durations reveal an upper flare duration limit of < ∼ 6 hrs; (ii) Stellar flares observed with KEPLER exhibit inertial ranges of E ≈ 10 34 − 10 37 erg, finite system-size ranges at E ≈ 10 37 − 10 38 erg, and extreme events at E ≈ (1−5)×10 38 erg; (iii) The maximum flare energy of different spectral-type stars (M, K, G, F, A, Giants) reveal a positive correlation with the stellar radius, which indicates a finite system-size limit imposed by the stellar surface area. Fitting our finite system-size models to terrestrial data sets (Earth quakes, wildfires, city sizes, blackouts, terrorism, words, surnames, web-links) yields evidence (in half of the cases) for finite system-size limits and extreme events, which can be modeled with dual power law size distributions.

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Section: Appendix A: Finite System-size Effects In Empirical Datamentioning

confidence: 99%

Finite System-Size Effects in Self-Organized Criticality Systems

Aschwanden

2021

Preprint

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“…Cascade failure is defined as a series of correlated failures that gradually undermine the power system [2]. These failures can occur as a result of a variety of factors including natural disasters, technical failure, human error, and deliberate sabotage [3]. Various selected blackouts due to cascade failure reported acrose the world, along with its initiating event and affected population has been summarized in Fig.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Cascade Failure Analysis of the Mumbai Grid Incident of October 12, 2020

Pandey¹,

Kumar

Mohire³

et al. 2022

IEEE Access

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The Mumbai region in India experienced a massive outage on October 12, 2020, due to cascade failure. The event taught some serious lessons to the grid operators and highlighted the need for energy security and reliability. In this incident, the cascade tripping of the external transmission network resulted in an unexpected island containing Mumbai city isolating it from the rest of Indian power grid. Although the Mumbai islanding scheme was operational, it failed to survive due to high rate of change of frequency (ROCOF). Globally, such blackouts occur due to low probability, high impact events. Major blackouts are caused by a set of triggering events that are usually preceded by some incidents that weaken the power system. Further, the failure of important security mechanisms and protections can compound the effect of disturbances. In view of this, the paper focuses on the consequences of cascading events that led to several blackouts in history. This paper analyses the October 12, 2020, Mumbai power grid failure by recreating various scenarios that resulted in the blackout through dynamic modelling on the PSS/E platform. The results were validated using data collected from phasor measurement units (PMUs) and SCADA. In this article various challenges faced during unfolding of the event are presented. Lessons learnt such as appropriate settings and tuning were identified to ensure the survival of islanding scheme. Assessment of Mumbai power system's transfer capability is done to facilitate the optimal mix of imported and embedded generation.INDEX TERMS Blackout, cascade failure, critical infrastructure, islanding, power system modelling and simulator for engineering (PSS/E), rate of change of frequency (ROCOF), smart grid, under-frequency load shedding.

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Machine learning applications in cascading failure analysis in power systems: A review

Sami,

Naeini

2024

Electric Power Systems Research

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Impact of Initial Stressor(s) on Cascading Failures in Power Grids

Cited by 4 publications

References 21 publications

Finite System-Size Effects in Self-Organized Criticality Systems

Finite System-Size Effects in Self-Organized Criticality Systems

Dynamic Modeling and Cascade Failure Analysis of the Mumbai Grid Incident of October 12, 2020

Machine learning applications in cascading failure analysis in power systems: A review

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