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Benjamin A. Carreras
Researcher at Charles III University of Madrid
Publications - 439
Citations - 17101
Benjamin A. Carreras is an academic researcher from Charles III University of Madrid. The author has contributed to research in topics: Turbulence & Tokamak. The author has an hindex of 67, co-authored 435 publications receiving 16216 citations. Previous affiliations of Benjamin A. Carreras include University of Glasgow & California Institute of Technology.
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Complex systems analysis of series of blackouts: Cascading failure, critical points, and self-organization
TL;DR: An overview of a complex systems approach to large blackouts of electric power transmission systems caused by cascading failure is given and it is suggested that power system operating margins evolve slowly to near a critical point and confirmed using a power system model.
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Critical points and transitions in an electric power transmission model for cascading failure blackouts
TL;DR: Cascading failure in a simplified transmission system model as load power demand is increased is examined and it is found that operation near critical points can produce power law tails in the blackout size probability distribution similar to those observed.
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Fluctuations and anomalous transport in tokamaks
Alan J Wootton,Benjamin A. Carreras,H. Matsumoto,K. McGuire,W. A. Peebles,Ch. P. Ritz,Paul Terry,S. J. Zweben +7 more
TL;DR: A review of what is known about fluctuations and anomalous transport processes in tokamaks can be found in this paper, where Liewer [Nucl. Technol.
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Self-Regulating Shear Flow Turbulence: A Paradigm for the L to H Transition
TL;DR: A self-consistent model of the [ital L] to [ital H] transition is derived from coupled nonlinear envelope equations for the fluctuation level and radial electric field shear, which exhibit a supercritical bifurcation between dual dual L-mode and H-mode fixed points.
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Evidence for self-organized criticality in a time series of electric power system blackouts
TL;DR: Analysis of a 15-year time series of North American electric power transmission system blackouts shows evidence of self-organized criticality (SOC), and blackout data seem consistent with SOC.