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Development and research of mathematical model of current transformer reproducing magnetic hysteresis based on Preisach theory.

Authors :
Andreev, Mikhail
Suvorov, Alexey
Ruban, Nikolay
Ufa, Ruslan
Gusev, Alexander
Askarov, Alisher
Kievets, Anton
Source :
IET Generation, Transmission & Distribution (Wiley-Blackwell); 2020, Vol. 14 Issue 14, p2720-2730, 11p, 4 Diagrams, 3 Charts, 19 Graphs
Publication Year :
2020

Abstract

Due to increasing complexity of power systems the task of ensuring adequate operation of relay protection becomes more urgent. Detailed mathematical models of relay protection together with modern power system simulators are proposed to be used as a solution of this problem. At the same time, the adequate simulation of instrumental transformers, in particular the magnetization process of the core, is very important because the waveform of signals controlled by relay protection largely determined by transducers' errors. The developed mathematical model of current transformer reproducing the magnetic hysteresis in accordance with the Preisach theory is presented in the paper. Unlike other similar models, the Preisach' particle distribution function in the developed model is based not on the reference typical magnetizing curves, but on the volt–ampere characteristic of current transformer. This approach is better applicable in practice, since typical magnetization curves are not always available and become less relevant during transformer operation. There are presented the results of impact assessment of different types and values of burden on current transformer operation and comparison of the implemented model with existing methods of magnetization and hysteresis modeling. The adequate behavior of the developed model has been confirmed by the research. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17518687
Volume :
14
Issue :
14
Database :
Complementary Index
Journal :
IET Generation, Transmission & Distribution (Wiley-Blackwell)
Publication Type :
Academic Journal
Accession number :
144344724
Full Text :
https://doi.org/10.1049/iet-gtd.2018.6796