| Issue |
E3S Web Conf.
Volume 124, 2019
International Scientific and Technical Conference Smart Energy Systems 2019 (SES-2019)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 5 | |
| Section | Economics and Energy Management | |
| DOI | https://doi.org/10.1051/e3sconf/201912404001 | |
| Published online | 25 October 2019 | |
Structure, condition, and prospects of electrical grids in the Republic of Sakha (Yakutia)
1
North-Eastern Federal University n.a. M.K. Ammosov, Polytechnic Institute (branch) in Mirny, Sakha (Yakutia), Russia
2
North-Eastern Federal University n.a. M.K. Ammosov, Institute of Mathematics and Information Science, Sakha (Yakutia), Russia
3
North-Eastern Federal University n.a. M.K. Ammosov, Institute of Finances and Economics, Sakha (Yakutia), Russia
4
Peter the Great St. Petersburg Polytechnic University, St Petersburg, Russia
* Corresponding author: as.semenov@s-vfu.ru
The paper analyzes the condition of electrical grids in the west of the Republic of Sakha (Yakutia); data sampled for the last 10 years. It demonstrates the geographic location of grids, which defines the scale of the study. Technical indicators are presented for 10 years; they reflect an increase in the fixed assets. The paper derives mathematical models of the wear of transmission equipment used in the western grids. It proves that the condition of equipment will deteriorate further unless its maintenance is properly funded. The paper analyzes the prospects of electrical grids in the Republic of Sakha (Yakutia). It presents a program for local energy optimization. The costs associated with five alternative development scenarios are calculated and presented in a tabular format.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.