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Automation of calculations of power transformers windings parameters taking into account the position of the voltage regulator

Authors: A. N. Alyunov; V.P. Markovskiy; O. S. Vyatkina; R.M. Mustafina; L. R. Mukhametova;
Abstract
We consider the issues of modeling power lines using a self-adjusting mathematical model which allows analyzing the lines operating modes while tracking instantaneous values of parameters. The obtained model can be used to build high-speed protection against phase-to-phase faults in power lines with a voltage of 10-35 kV, which have a small length.
Related Organizations
- Kazan State Power Engineering University Russian Federation
- Kazan State Power Engineering University Russian Federation
- Vologda State Technical University Russian Federation
- S. Toraighyrov Pavlodar State University Kazakhstan
- Vologda State Technical University Russian Federation
Keywords
Environmental sciences, GE1-350
Environmental sciences, GE1-350
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
3
Average
Top 10%
Average
gold