E3S Web of Conf.
Volume 216, 2020Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2020)
|Number of page(s)||5|
|Published online||14 December 2020|
Identification of line status changes using phasor measurements in transient states through deep learning networks
Federal Research Center “Komi Scientific Center of the Ural Branch Russian Academy of Sciences”, ISE and EPN, 167000, Russia
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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