Development of neuronet models to predict voltage deviations in electrical networks

Authors

  • Василь Олександрович Саприка Kharkiv National University "Kharkiv Polytechnic Institute" Str. Frunze 21, Kharkov, Ukraine, 61002, Ukraine
  • Олег Герасимович Гриб Kharkiv National University "Kharkiv Polytechnic Institute" Str. Frunze 21, Kharkov, Ukraine, 61002, Ukraine
  • Олександр Вікторович Саприка Kharkiv National Academy of Municipal Economy Str. Revolution, 12, Kharkov, Ukraine, 61002, Ukraine
  • Леонід Юліанович Ступішін South-Western State University Str. October 50, 94 Kursk, Russia 305040,, Russian Federation

DOI:

https://doi.org/10.15587/1729-4061.2013.11706

Keywords:

Neuronet model, efficiency, power consumption, statistical series, prediction, electricity receivers, electrical equipment

Abstract

The article examines the increase of effectiveness of operation of electrical equipment with the help of neuronet model for hourly prediction of voltage deviation in electrical networks of industrial and residential areas, taking into account power quality.

Due to the constant increase in power consumption and increase of its cost, interest to conserve electricity becomes much higher. The upcoming significant increase of power consumption in the cities of Ukraine for the period until 2030, and the increase in urban population confirm the urgency of the problem. Further saturation of flats by electricity receivers of increased power will sharpen the issues of power quality in electrical networks, so there is a certain interest in neuronet models, which have been successfully used in various fields of science and technology. Neural networks present a modern method of simulation, which permit to reproduce extremely complicated dependences.

The proposed model indicates the possibility of its usage as a reference one in the systems of voltage control. Reduction of power consumption in electrical units will save electricity and reduce peak power

Author Biographies

Василь Олександрович Саприка, Kharkiv National University "Kharkiv Polytechnic Institute" Str. Frunze 21, Kharkov, Ukraine, 61002

Engineer

Department of Automation Products

Олег Герасимович Гриб, Kharkiv National University "Kharkiv Polytechnic Institute" Str. Frunze 21, Kharkov, Ukraine, 61002

Doctor of Technical Sciences, Professor

Department of Automation Products

Олександр Вікторович Саприка, Kharkiv National Academy of Municipal Economy Str. Revolution, 12, Kharkov, Ukraine, 61002

PhD, Associate Professor

The Department of electricity cities

Леонід Юліанович Ступішін, South-Western State University Str. October 50, 94 Kursk, Russia 305040,

PhD, Associate Professor

Department of urban road construction and structural mechanics

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Published

2013-04-25

How to Cite

Саприка, В. О., Гриб, О. Г., Саприка, О. В., & Ступішін, Л. Ю. (2013). Development of neuronet models to predict voltage deviations in electrical networks. Eastern-European Journal of Enterprise Technologies, 2(3(62), 9–11. https://doi.org/10.15587/1729-4061.2013.11706

Issue

Vol. 2 No. 3(62) (2013): Control systems

Section

Control systems

License

Copyright (c) 2014 Василь Олександрович Саприка, Олег Герасимович Гриб, Олександр Вікторович Саприка, Леонід Юліанович Ступішін

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