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Abstract

The article deals with the problem of improving the efficiency of open distribution networks through the optimal distribution of reactive power between the nodes of the network subject to compensation. A comparative analysis of optimization methods is carried out on the basis of which and in accordance with the purpose of the study, a genetic algorithm is chosen. The basic concepts and theoretical provisions of the genetic algorithm are adapted to solve the optimization problem of placing compensating devices in the nodes of the distribution network. In accordance with the proposed mathematical model for optimizing the placement of compensating devices, a block diagram of the genetic algorithm was programmatically implemented in Mathcad for various schemes of connection of power supply systems. The distinctive features of the developed modified genetic algorithm include the coding procedure that provides the solution of the optimization problem in non-negative discrete variables; the procedure for checking the limit on the value of excess reactive power. The results of the comparative analysis of the programs implemented by genetic algorithm and exhaustive search and testing program for the open distribution network businesses have shown expediency of application of the genetic algorithm in solving optimization problems in the field of site selection and placement of compensating devices.

Keywords

Compensating devices, reactive power, compensating devices, reactive power, genetic algorithms, genetic algorithms, Mathcad.

Ludmila A. Vlatskaya

Ph.D. (Engineering), Associate Professor, the Department of Electric and Heat-power engineering, Orenburg State University, Orenburg, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Natalya G. Semenova

D.Sc. (Pedagogics), Ph.D. (Engineering), Associate Professor, Professor, the Department of Automated Electric Drive, Electromechanics and Electrical Engineering, Orenburg State University, Orenburg, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..

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