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Electronic archive of Tomsk Polytechnic University
Article . 2015
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Вероятностная модель электрических процессов при дуговых замыканиях в электрических сетях с компенсацией емкостных токов

descriptionPublicationkeyboard_double_arrow_right Article 20 Nov 2015 Russian Federation Russian Publisher:Томский политехнический университет

Вероятностная модель электрических процессов при дуговых замыканиях в электрических сетях с компенсацией емкостных токов

Abstract

Предлагается математическая модель для исследования электрических процессов в сетях с компенсацией емкостного тока придуговых перемежающихся замыканиях с учетом вероятностного характера факторов, определяющих исследуемый процесс. Результаты, полученные с помощью разработанной модели, используются для усовершенствования защиты от замыканий на землю в электрических сетях.

Country
Russian Federation
Related Organizations
Keywords

электрические процессы, компенсации, процессы, математические модели, электрические сети, емкостные токи, вероятностные модели, факторы, дуговые замыкания

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    popularity
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    influence
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    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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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green