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ELECTRICITY QUALITY INDICATION IMPROVING ALGORITHM IN INDUSTRIAL ENTERPRISES

https://doi.org/10.21822/2073-6185-2016-42-3-45-52

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.

About the Author

R. K. Gereykhanov
Daghestan State Technical University
Russian Federation

postgraduate student, Department of theoretical and General electrical engineering,

70 I. Shamil Ave, Makhachkala, 367015



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Review

For citations:


Gereykhanov R.K. ELECTRICITY QUALITY INDICATION IMPROVING ALGORITHM IN INDUSTRIAL ENTERPRISES. Herald of Dagestan State Technical University. Technical Sciences. 2016;42(3):45-52. (In Russ.) https://doi.org/10.21822/2073-6185-2016-42-3-45-52

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ISSN 2073-6185 (Print)
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