Assessing Changes in the Reliability of the U.S. Electric Power System
Author(s) -
Peter Larsen,
Kristina Hamachi LaCommare,
Joseph H. Eto,
James L. Sweeney
Publication year - 2015
Language(s) - English
Resource type - Reports
DOI - 10.2172/1236074
Subject(s) - reliability (semiconductor) , electricity , electric power distribution , electric power industry , work (physics) , mains electricity , distribution (mathematics) , electric utility , power (physics) , operations research , computer science , business , reliability engineering , engineering , electrical engineering , mathematics , mechanical engineering , mathematical analysis , physics , quantum mechanics
Over the past 15 years, the most well-publicized efforts to assess trends in U.S. electric power system reliability have focused only on a subset of all power interruption events (see, for example, Amin 2008 and Campbell 2012)—namely, only the very largest events, which trigger immediate emergency reporting to federal agencies and industry regulators. Anecdotally, these events are thought by many to represent no more than 10% of the power interruptions experienced annually by electricity consumers. Moreover, a review of these emergency reports has identified shortcomings in relying on these data as reliable sources for assessing trends, even with the reliability events they report (Fisher et al. 2012). Recent work has begun to address these limitations by examining trends in reliability data collected annually by electricity distribution companies (Eto et al. 2012). In principle, all power interruptions experienced by electricity customers, regardless of size, are recorded by the distribution utility. Moreover, distribution utilities have a long history of recording this information, often in response to mandates from state public utility commissions (Eto et al. 2006). Thus, studies that rely on reliability data collected by distribution utilities can, in principle, provide a more complete basis upon which to assess trends or changesmore » in reliability over time.« less
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