Journal ArticleDOI
Using Disturbance Data to Assess Vulnerability of Electric Power Delivery Systems
Åke J. Holmgren,Staffan Molin +1 more
TLDR
In this paper, the authors discuss how to assess the vulnerability of electric power delivery systems with the help of standard power system performance indices, in two case studies, statistical analyses of...Abstract:
In this paper we discuss how to assess the vulnerability of electric power delivery systems with the help of standard power system performance indices. In two case studies, statistical analyses of ...read more
Citations
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Journal ArticleDOI
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.
Journal ArticleDOI
Risk Assessment of Cascading Outages: Methodologies and Challenges
Marianna Vaiman,Keith Bell,Yousu Chen,Badrul H. Chowdhury,Ian Dobson,Paul Hines,Milorad Papic,Stephen S. Miller,Pei Zhang +8 more
TL;DR: The Task Force on Understanding, Prediction, Mitigation, and Restoration of Cascading Failures, under the IEEE PES Computer Analytical Methods Subcommittee (CAMS), seeks to consolidate and review the progress of the field towards methods and tools of assessing the risk of cascading failure as mentioned in this paper.
Journal ArticleDOI
Using Graph Models to Analyze the Vulnerability of Electric Power Networks
TL;DR: Model electric power delivery networks as graphs, and conduct studies of two power transmission grids, i.e., the Nordic and the western states (U.S.) transmission grid, to present a discussion on the practical applicability of graph modeling.
Proceedings ArticleDOI
Initial review of methods for cascading failure analysis in electric power transmission systems IEEE PES CAMS task force on understanding, prediction, mitigation and restoration of cascading failures
Ross Baldick,Badrul H. Chowdhury,Ian Dobson,Zhao Yang Dong,Bei Gou,David Hawkins,H. Huang,Manho Joung,Daniel S. Kirschen,Fangxing Li,Juan Li,Zuyi Li,Chen-Ching Liu,Lamine Mili,Stephen S. Miller,Robin Podmore,Kevin P. Schneider,Kai Sun,David Wang,Zhigang Wu,Pei Zhang,Wenjie Zhang,Xiao-Ping Zhang +22 more
TL;DR: In this article, the authors define cascading failure for blackouts and give an initial review of the current understanding, industrial tools, and the challenges and emerging methods of analysis and simulation.
Journal ArticleDOI
Large blackouts in North America: Historical trends and policy implications
TL;DR: This paper found that the frequency of large blackouts in the United States has not decreased over time, that there is a statistically significant increase in blackout frequency during peak hours of the day and during late summer and mid-winter months (although non-storm-related risk is nearly constant through the year) and there is strong statistical support for the previously observed power-law statistical relationship between blackout size and frequency.
References
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An introduction to the bootstrap
Bradley Efron,Robert Tibshirani +1 more
TL;DR: This article presents bootstrap methods for estimation, using simple arguments, with Minitab macros for implementing these methods, as well as some examples of how these methods could be used for estimation purposes.
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An Introduction to the Bootstrap.
Journal ArticleDOI
Self-organized criticality: An explanation of the 1/ f noise
TL;DR: It is shown that dynamical systems with spatial degrees of freedom naturally evolve into a self-organized critical point, and flicker noise, or 1/f noise, can be identified with the dynamics of the critical state.
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TL;DR: A general approach to Time Series Modelling and ModeLLing with ARMA Processes, which describes the development of a Stationary Process in Terms of Infinitely Many Past Values and the Autocorrelation Function.
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Reliability Evaluation of Power Systems
Roy Billinton,Ronald N. Allan +1 more
TL;DR: In this paper, the authors present an analysis of the IEEE Reliability Test System (IRTS) and evaluate the reliability worth of the test system with Monte Carlo simulation and three-order equations for overlapping events.