Identification of line status changes using phasor measurements in transient states through deep learning networks
Gotman Natalja, Shumilova Galina
E3S Web of Conferences · 2020
doi:10.1051/e3sconf/202021601035 (opens in a new tab)
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Abstract
The problem of detecting changes in a topology of an electrical network in real time is solved. This paper proposes a line state detection method based on a convolutional neural network (CNN) classifier using phasor measurements of bus voltages and currents in transient states.
Abstract licence: CC BY
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