| Issue |
E3S Web Conf.
Volume 209, 2020
ENERGY-21 – Sustainable Development & Smart Management
|
|
|---|---|---|
| Article Number | 07004 | |
| Number of page(s) | 7 | |
| Section | Session 6. Power Quality | |
| DOI | https://doi.org/10.1051/e3sconf/202020907004 | |
| Published online | 23 November 2020 | |
Methods of intelligent protection from asymmetrical conditions in electric networks
1 Azerbaijan Scientific-Research and Designed-Prospecting Institute of Energetics, “Azerenergy” JSC, Baku, Azerbaijan
2 Melentiev Energy Systems Institute SB RAS, Irkutsk, Russia
* Corresponding author: huseyngulu@mail.ru
Possible cases of non-fulfilment of the requirements of the necessary sensitivity and the selectivity of the existing protection against incomplete-phase and asymmetric modes in the electrical network under conditions of uncertainty of the initial data are determined. The paper considers the issue of intellectualization of protection from asymmetric modes based on theories of fuzzy logic, as well as machine learning models, and offers a structural diagram and an algorithm for the functioning of protection. The results of the synthesis of intelligent protection and an approach to modelling and control for controlled drive systems based on reinforcement learning are presented.
© 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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