| Issue |
E3S Web of Conf.
Volume 384, 2023
Rudenko International Conference “Methodological Problems in Reliability Study of Large Energy Systems” (RSES 2022)
|
|
|---|---|---|
| Article Number | 01037 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/e3sconf/202338401037 | |
| Published online | 26 April 2023 | |
Economic interval analysis of loads for selection of cross-section surfaces of electrical transmission lines
1 Tashkent State Technical University named Islam Karimov, 2 Universitet str., Tashkent, Uzbekistan.
2 Navoi State Mining and Technological University, 76 Galaba shox str., Navoi, Uzbekistan.
* Corresponding author: ataslimov@mail.ru
In this article, the implementation of comprehensive measures for the use of modern approaches to the selection of the main parameters of the system in the development of the electric power industry of our Republic, including the development of methods for optimizing, updating and increasing the reliability of electric transmission networks, as well as the selection of the most optimal cross-sectional surface of the conductors of power transmission lines written about the problem and the widespread use of the method of economic intervals to solve this problem. In addition, the action strategy for the further development of the Republic of Uzbekistan in 2017-2021 defines the tasks of “… to reduce the energy and resource capacities of the economy, to widely introduce energy-saving technologies into production, which are implemented in accordance with the target parameters of reducing energy consumption in economic sectors,…” and these tasks. It has been reflected that determining the optimal parameters of electrical networks, carrying out theoretical and scientific work on increasing their reliability, and receiving appropriate recommendations for the design, construction, modernization and operation of rural electrical networks are considered to be one of the most important issues for implementation.
© 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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