Distributions of cascade sizes in power system emergency response
Distributions of cascade sizes in power system emergency response
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DOI：
10.1109/pmaps47429.2020.9183642
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发表时间：
2020-08
期刊：
影响因子：
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通讯作者：
M. Goodridge;J. Moriarty;A. Pizzoferrato
中科院分区：
文献类型：
--
作者：
M. Goodridge;J. Moriarty;A. Pizzoferrato
在电力系统扰动触发紧急响应（如保护或减载/发电）之后，有几个因素会影响这些响应在网络中级联的方式。除了确定性因素，如网络拓扑结构，在本文中，我们的目标是量化的影响，功率扰动的相关性。例如，常见的天气模式导致可再生能源发电的相关预测误差。我们的研究结果表明，对于高度连接的网络，级联大小分布是双峰和正相关的干扰有好处，减少级联大小。对于一个固定的网络，后者的关系被观察到更强的紧急响应时，是罕见的，这是一致的大偏差的数学理论。
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.