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North American blackout time series statistics and implications for blackout risk

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TLDR
In this article, the authors used historical data from the North American Electric Reliability Corporation (NERC) to give improved estimates of distributions of blackout size, time correlations, and waiting times for the Eastern and Western interconnections of the US grid.
Abstract
We use North American Electric Reliability Corporation historical data to give improved estimates of distributions of blackout size, time correlations, and waiting times for the Eastern and Western interconnections of the North American grid. We then explain and estimate the implications of the power law region (heavy tails) in the empirical distribution of blackout size in the historical data for the Western interconnection. Annual mean blackout size has high variability and the risk of large blackouts exceeds the risk of medium size blackouts. Ways to communicate blackout risk are discussed.

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References
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Journal ArticleDOI

Power-Law Distributions in Empirical Data

TL;DR: This work proposes a principled statistical framework for discerning and quantifying power-law behavior in empirical data by combining maximum-likelihood fitting methods with goodness-of-fit tests based on the Kolmogorov-Smirnov (KS) statistic and likelihood ratios.
Book

Bootstrap Methods and Their Application

TL;DR: In this paper, a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis, is given, along with a disk of purpose-written S-Plus programs for implementing the methods described in the text.
Journal ArticleDOI

Long-Term Storage Capacity of Reservoirs

TL;DR: In this paper, a solution of the problem of determining the reservoir storage required on a given stream, to guarantee a given draft, is presented, where a long-time record of annual total...
Journal ArticleDOI

Noah, Joseph, and Operational Hydrology

TL;DR: In this paper, a series of investigations on self-similar operational hydrology are presented, and the present paper introduces and summarizes the results of these studies. But, as a replacement for statistical hydrological models, selfsimilar models appear very promising, and they account particularly well for the remarkable empirical observations of Harold Edwin Hurst.
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