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The Hybrid Correction System, Based on Active and Passive Filters for Harmonic Compensation in Networks of Oil Enterprises
Authors: Yuriy A. Sychev; Boris N. Abramovich; Roman Yu. Zimin;
Abstract
The urgency and necessity of improving power quality and electromagnetic compatibility of electrical equipment is proved. The structure of the hybrid system correction based on parallel connection of active and passive filters is presented. The developed mathematical and simulation model of converters with a common DC link correction system and electric drive is developed. The results of mathematical modeling prove the efficiency of harmonic compensation harmonic components. The results demonstrate the efficiency of hybrid correction systems in dynamic modes of electric drive operation.
Related Organizations
- Saint Petersburg Mining University Russian Federation
- Saint Petersburg Mining University Russian Federation
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).1 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).Average 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.
1
Average
Average
Average