Issue |
E3S Web Conf.
Volume 461, 2023
Rudenko International Conference “Methodological Problems in Reliability Study of Large Energy Systems“ (RSES 2023)
|
|
---|---|---|
Article Number | 01025 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/e3sconf/202346101025 | |
Published online | 12 December 2023 |
Simplified topological algorithm for forming a steady mode of electric power system
1 L.N. Gumilyov Eurasian National University, Astana, 010000, Kazakhstan
2 JSC «Astana IT University», Astana, 010000, Kazakhstan
3 Ekibastuz Engineering and Technical Institute named after academician K. Satpaev, Ekibastuz, 141208, Kazakhstan.
* Corresponding author: abeked@mail.ru
The paper presents the possibility of simplifying the algorithms for forming the parameters of the steady state mode of a complex electrical network, using the independence of the currents of its equivalent circuit. In this case, all independent currents of a complex circuit of an electrical network must be found in advance, which is, in the general case, a rather difficult task, since it requires additional calculations of the steady state. The matrix of current distribution coefficients, formalized on the basis of the topology of the electrical network, can be used to directly determine the currents in the branches of its equivalent circuit. This allows you to preliminarily estimate the values of pre-selected independent currents in the circuit branches of a complex electrical network and determine its simplified design scheme. In this case, a calculation model is established, consisting of some trees of a complex electrical network graph.
Key words: directed graph / tree / chord / current distribution coefficients / nodal voltages
© 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.
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.