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Topological algorithm for forming nodal stresses of complex networks energy systems

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dc.contributor.author Akhmetbaev, D.S.
dc.contributor.author Dzhandigulov, A.R.
dc.contributor.author Akhmetbaev, A.D.
dc.date.accessioned 2024-10-08T09:53:43Z
dc.date.available 2024-10-08T09:53:43Z
dc.date.issued 2019
dc.identifier.issn 2555-0403
dc.identifier.other doi.org/10.1051/e3sconf/201913901066
dc.identifier.uri http://rep.enu.kz/handle/enu/17476
dc.description.abstract 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. ru
dc.language.iso en ru
dc.publisher E3S Web of Conferences ru
dc.relation.ispartofseries 139;01066
dc.title Topological algorithm for forming nodal stresses of complex networks energy systems ru
dc.type Article ru


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