| Issue |
E3S Web Conf.
Volume 216, 2020
Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2020)
|
|
|---|---|---|
| Article Number | 01095 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/e3sconf/202021601095 | |
| Published online | 14 December 2020 | |
Optimization of Electrical Networks Modes on Transformation Coefficients of Transformers
1 Tashkent State Technical University named after Islam Karimov, Uzbekistan
2 Tashkent State Technical University named after Islam Karimov, Uzbekistan
3 Department of Power engineering, Karshi Engineering-Economics Institute, Kashkadarya, Uzbekistan
* Corresponding author: tulgayibov@gmail.com
Optimization of modes of electrical networks provides for the determination of rational values of reactive powers of controlled sources, voltages of reference nodes and transformation coefficients of adjustable loop transformers, at which the minimum costs associated with the production, transmission and distribution of electricity are ensured and all the specified operating and technological constraints are met. As a result of a lot of work performed by specialists from all over the world on the development of methods and algorithms for optimization the modes of electrical networks, at present, the methods for optimization of reactive powers and voltages of nodes are quite developed. At the same time, the algorithms for optimization of transformation coefficients of transformers, taking into account the provision of permissible voltage levels and minimum energy losses in closed electric networks by ensuring the optimal distribution of power flows in them, requires corresponding improvement. In this regard, this work proposes a new algorithm for optimization of modes of electrical networks on transformation coefficients of adjustable loop transformers. The results of researched the effectiveness of the proposed algorithm 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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