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Copyright © 2015 Zorica Bogicevic et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper presents a graph-analytical method for determining the electrical impedance of alternate energy sources, especially small power transformers and current transformers in electric networks. Unlike conventional short-circuit and idle tests, according to proposed method, in this paper, transformer parameters are determined in a new way, which is based on measurement of voltages and currents on the active and reactive load (inductive or capacitive). The effectiveness of the proposed model was verified using an adapted simulation in the software package MATLAB Simulink. The simulation was performed for three types of ABB transformers with a 100% load. Simulation results were obtained for power transformers: [subscript]Sn1[/subscript] =1 [MVA], [subscript]Sn2[/subscript] =2 [MVA], [subscript]Sn3[/subscript] =3.15 [MVA]. If we compare measurement result values of [subscript]RT[/subscript] , [subscript]XT[/subscript] , which are contained in a brochure for ABB transformers and those obtained through simulation, different tolerances are obtained. For reactance results, deviations are up to 20% for all three tested transformers. For results of active resistance tolerances are up to 5% for all three tested transformers. This method can be used not only to determine the active and inductive AC power source parameters but also to determine and analyze the impendence of electrical sources with high frequencies.

Details

Title
Graph-Analytical Method of Determining Impedance in Electrical Transformers
Author
Bogicevic, Zorica; Bjelic, Slobodan; Spalevic, Petar; Misic, Milan
Publication year
2015
Publication date
2015
Publisher
John Wiley & Sons, Inc.
ISSN
1024123X
e-ISSN
15635147
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1731737631
Copyright
Copyright © 2015 Zorica Bogicevic et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.