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Distributions of cascade sizes in power system emergency response

机译:电力系统应急响应中的级联大小分布

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Following disturbances to a power system triggering emergency responses such as protection or load/generation shedding, several factors affect the way in which these responses may cascade through the network. Beyond deterministic factors such as network topology, in this paper we aim to quantify the effect of correlations in power disturbances. These arise, for example, from common weather patterns causing correlated forecast errors in renewable generation. Our results suggest that for highly connected networks, the cascade size distribution is bimodal and positively correlated disturbances have the benefit of reducing cascade size. For a fixed network the latter relationship is observed to be stronger when emergency responses are rare, which is consistent with the mathematical theory of large deviations.
机译:在对电力系统的扰动之后触发紧急响应,如保护或负载/代脱落,几个因素会影响这些响应可以通过网络级联的方式。除了网络拓扑等确定性因素之外,在本文中,我们的目标是量化电力干扰中相关性的影响。例如,这些出现来自常见的天气模式,导致可再生生成中的相关预测误差。我们的研究结果表明,对于高度连接的网络,级联尺寸分布是双峰和正相关的干扰具有减少级联尺寸的益处。对于固定网络,当紧急响应很少罕见时,观察后的关系是更强的,这与大偏差的数学理论一致。

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