| Issue |
E3S Web Conf.
Volume 114, 2019
International Conference of Young Scientists “Energy Systems Research 2019”
|
|
|---|---|---|
| Article Number | 03005 | |
| Number of page(s) | 4 | |
| Section | Reliability and Safety of Energy Systems | |
| DOI | https://doi.org/10.1051/e3sconf/201911403005 | |
| Published online | 04 September 2019 | |
Reliability level research in distribution electrical networks of Irkutsk
1 Irkutsk National Research Technical University, 83, Lermontov street, Irkutsk, 664074, Russia
2 Amur State University, 23 Ignatyevskoye Highway, Blagoveshchensk, 675027, Russia
3 Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Science, 130, Lermontov street, Irkutsk, 664033, Russia
4 Irkutsk State Agrarian University named after A.A. Ezhevsky, 1/1, Molodezhnaya street, Irkutsk district Molodezhny settlement, 664038, Russia
Forecasting of level of reliability of power supply of consumers is one of the major tasks at implementation of actions for improvement of operational characteristics of distribution electrical networks. On the one hand, assessment of damageability allows to develop a number of actions for increase in reliability of electric equipment and elements of electrical networks, with another, to create a stock of that equipment which is subject to risk of premature failure. The purpose of the present article is implementation of statistical assessment of damageability of basic elements of distribution electrical networks of 10 kV on the basis of the predicted information on possible refusals in these networks. The main objectives for achievement of the specified purpose are: 1. Implementation of preventive assessment of refusals in electrical networks on the basis of data of dispatching magazines of observations; 2. Statistical assessment of casual events of failures of electric equipment and detection of their laws of distribution.
© The Authors, published by EDP Sciences, 2019
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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