| Issue |
E3S Web Conf.
Volume 216, 2020
Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2020)
|
|
|---|---|---|
| Article Number | 01035 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/e3sconf/202021601035 | |
| 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: gotman@energy.komisc.ru
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
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