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Mar, 2019
深度学习用于电力系统安全评估
Deep Learning for Power System Security Assessment
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José-María Hidalgo-Arteaga, Fiodar Hancharou, Florian Thams, Spyros Chatzivasileiadis
TL;DR
本研究使用深度学习的方法,将电力系统的快照数据表示为二维图像进行处理,进行线路N-1安全性和小信号稳定性的评估,比传统方法快255倍以上,并可以正确确定危险点的准确度超过99%。
Abstract
security assessment
is among the most fundamental functions of
power system
operator. The sheer complexity of power systems exceeding a few buses, however, makes it an extremely computationally demanding task. Th
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