| Issue |
E3S Web Conf.
Volume 461, 2023
Rudenko International Conference “Methodological Problems in Reliability Study of Large Energy Systems“ (RSES 2023)
|
|
|---|---|---|
| Article Number | 01032 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/e3sconf/202346101032 | |
| Published online | 12 December 2023 | |
Machine learning application for power systems reliability assessment
Research and Development Center at Federal Grid Company of Unified Energy System, 22 building 3, Kashirskoe sh., Moscow, Russia
* Corresponding author: sorokin_dv@ntc-power.ru
The paper presents the principles and features of the use of machine learning methods to assess the power system reliability. Based on the analysis of publications, the main approaches to the application of machine learning methods are given. A prototype of an automatic system has been developed to identify in real time potentially dangerous power system states, the occurrence of which can lead to the power system failures.
© The Authors, published by EDP Sciences, 2023
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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