IMPROVING THE EFFICIENCY OF POWER SUPPLY SYSTEMS TAKING INTO ACCOUNT THE USE OF NEURAL ANALYSIS METHODS

Authors

  • Violetta Iosifovna Zatsepina Lipetsk State Technical University, Lipetsk (Russia) https://orcid.org/0000-0001-8347-4479
  • Oleg Yaroslavovich Shachnev Lipetsk State Technical University, Lipetsk (Russia)
  • Alexander Yaroslavovich Shachnev Lipetsk City Energy Company JSC, Lipetsk (Russia)

Keywords:

neural networks, weighting factor, energy efficiency, load analysis, statistical analysis

Abstract

This article describes a variant of using neural analysis by electric power devices. The features of neural network modeling in the Matlab Simulink Neural Network Toolbox software package are presented. The state of the neural network in the field of error construction in one of the modes of operation of the electrical installation is shown. The application of the "Adaptive linear prediction" function in control systems of reactive power compensation devices is proposed. The positive aspects of the application are indicated, which give a positive economic effect in the field of energy efficiency of an industrial enterprise.

Author Biographies

Violetta Iosifovna Zatsepina, Lipetsk State Technical University, Lipetsk (Russia)

Doctor of Technical Sciences, Professor
of the Department of Electrical Equipment

Oleg Yaroslavovich Shachnev, Lipetsk State Technical University, Lipetsk (Russia)

Candidate of Technical Sciences,
Associate Professor of the Department of Electrical Equipment

Alexander Yaroslavovich Shachnev, Lipetsk City Energy Company JSC, Lipetsk (Russia)

General Director

References

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Published

2023-07-13

How to Cite

Zatsepina В. И., Shachnev О. Я., & Shachnev А. Я. (2023). IMPROVING THE EFFICIENCY OF POWER SUPPLY SYSTEMS TAKING INTO ACCOUNT THE USE OF NEURAL ANALYSIS METHODS. Vesti Universities of the Chernozem Region, 17(4 (66), 3–8. Retrieved from https://vestivuzov.ru/index.php/journal/article/view/72

Issue

Section

POWER INDUSTRY