Examining criticality of blackouts in power system models with cascading events

I. Dobson, Jie Chen, J. Thorp, B. Carreras, D. Newman
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引用次数: 142

Abstract

As power system loading increases, larger blackouts due to cascading outages become more likely. The authors investigate a critical loading at which the average size of blackouts increases sharply to examine whether the probability distribution of blackout sizes shows the power tails observed in real blackout data. Three different models are used, including two simulations of cascading outages in electric power transmission systems. They also derive and use a new, analytically solvable model of probabilistic cascading failure which represents the progressive system weakening as the cascade proceeds.
具有级联事件的电力系统模型中停电临界性的检验
随着电力系统负荷的增加,更有可能发生大规模的停电。作者研究了一个平均停电规模急剧增加的临界负荷,以检验停电规模的概率分布是否显示了在实际停电数据中观察到的功率尾巴。使用了三种不同的模型,其中包括电力传输系统级联停电的两种模拟。他们还推导并使用了一个新的、解析可解的概率级联失效模型,该模型表示系统随着级联的进行而逐渐减弱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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