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ELECTRICITY QUALITY INDICATION IMPROVING ALGORITHM IN INDUSTRIAL ENTERPRISES

Authors: R. K. Gereykhanov;

ELECTRICITY QUALITY INDICATION IMPROVING ALGORITHM IN INDUSTRIAL ENTERPRISES

Abstract

Aim.The questions of electrical power quality increase at the enterprises are considered at this article; the analysis of methods and basic algorithm analyzer parameters are carried out based on the algorithm and hardware structure of the system to solve the problems related to the compensation of the reactive power at the enterprises.Methods. The mathematical methods and algorithms formed the basis which allows analyzing the harmonic structure of the electrical signals it is allowed to calculate the expansion coefficients for the set of parameters to assess the quality of electricity supplied to consumers. To objective assessment of electric energy quality all the date are compared with the reference values of the GOST R 54149-2010, after all a complex assessment of the electrical energy quality is revealed.Results. This development not only analyses the quality of electrical energy, but also differs from analogues by the presence of feedback and check to determine degree of impact on the power grid to recover the electrical signal by connecting compensation devices, which allows certain parameters of the electric network not to deviate from the regulated standards.Conclusion. A distinctive feature of the algorithm is the speed and operation of the system in real time that allows to analyze at the same time the state of the network and to make instant impact Also the algorithm provides the opportunity to interact with technical staff to decide in the dialogue mode.

Keywords

quality of the electric power, Technology, T, algorithms, grid, energy

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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
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