E3S Web Conf.
Volume 139, 2019Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2019)
|Number of page(s)||5|
|Published online||16 December 2019|
Topological algorithm for forming nodal stresses of complex networks energy systems
1 Seifullin Kazakh Agro Technical University, Nur-Sultan, Republic of Kazakhstan
2 L.N. Gumilyov Eurasian National University, Nur-Sultan, Republic of Kazakhstan
3 Information Systems Directorate, «Kazakhtelecom» JSC, Almaty, Republic of Kazakhsta
* Corresponding author: firstname.lastname@example.org
The paper presents a new topological algorithm for the formation of nodal stresses of complex networks of power systems. The first step of the described algorithm is the search and determination of the values of all possible and specific trees of the graph corresponding to a given network of the power system. The well-known advantage of the topological approach compared to matrix methods, which allows one to obtain the final solution of non-linear equations of the steady state, has led to the development of many methods and corresponding software implementations. The paper provides a comparative analysis of the advantages and disadvantages of these methods. The main computational complexity of these methods is the search for 2 trees for each tree, which are obtained from it by dividing into two parts by removing any branch. A completely new topological approach that does not require finding 2 trees was proposed by one of the authors. The process of this method consists of the following steps: finding all possible graph trees, selecting specific graph trees, calculating the network node voltage. The work offers a unique algorithm for the implementation of these stages, which are implemented and tested at the software level. The result of the execution of the software package is the calculation of the steady state of a complex electric network using the distribution coefficients of the driving currents.
© 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.
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