| Issue |
E3S Web Conf.
Volume 584, 2024
Rudenko International Conference “Methodological Problems in Reliability Study of Large Energy Systems” (RSES 2024)
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/e3sconf/202458401014 | |
| Published online | 06 November 2024 | |
Development of effective algorithms for calculating current distribution coefficients of an electric power system
1 L. Gumilyov Eurasian National University, 010000, Astana, Republic of Kazakhstan
2 Nizhny Novgorod State Technical University named after R.E. Alekseev, Russia
3 Ekibastuz Engineering and Technical Institute named after Academician K. Satpayev, Ekibastuz, Republic of Kazakhstan
* Corresponding author: abeked@mail.ru
Calculations of steady-state modes of a complex electric power system are significantly simplified if we use the coefficients of distribution of the setting currents. The use of the theory of directed graphs for the formation of the matrix of the coefficients of distribution of the setting currents is directly related to the determination of the values of all possible and specific trees of the graph of a complex electric network. The authors have developed and implemented an improved algorithm. calculation of current distribution coefficients of the electric power system. The concepts of the “base” of the graph and the “hanging” contour are introduced. In this case, to calculate the current distribution coefficients, it is necessary to take into account all possible and specific trees of only the graph base. A method is indicated for supplementing the matrix of current distribution coefficients of the graph base to the current distribution matrix of the original graph. The paper proposes methods for simplifying the network topology based on the development of diacoptic principles.
Key words: electrical network / topology / graph / graph tree / diakoptics / distribution coefficients
© The Authors, published by EDP Sciences, 2024
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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