Differential models and computer-orientated methods of the processes deter-mining parameters modes informativeness of railways electricity supply intelligent networks intellectualization

Authors

  • О. І. Стасюк State University of Infrastructure and Technology
  • О. C. Гайденко State University of Infrastructure and Technology
  • Л. Л. Гончарова State University of Infrastructure and Technology

DOI:

https://doi.org/10.15802/etr.v0i15.155682

Keywords:

differential models, differential transformations, methods, intellectualization, process, optimization, harmonic analysis, informativeness, electric net-works

Abstract

The results researches of evolution electric power supply systems and railways traction networks are presented. It is shown that the promising direction of scientific research is the creation of intelligent computer networks and intelligent power supply systems based on world-known SMART Grid technologies. The conceptual approaches of intelligent energy engineering are considered. Methods of synthesis intelligent mathematical models for determining the complete informativeness of registered primary data reflecting the dynamic processes of abnormal and emergency modes of power supply systems have been developed on the basis of differential transformations theory. Methods of intellectualization the harmonic analysis procedures of primary information for the individual harmonic components of the power supply system abnormal modes characteristics determination are proposed in the field of differential images. Ways of forming new knowledge in the energy supply field for optimization procedures of electric power consumption and intelligent energy-saving technologies creation are presented on the basis of differential mathematical models. The additional possibilities of solving the system-wide problem of railways traction electric networks innovation transformation are shown.

Author Biographies

О. І. Стасюк, State University of Infrastructure and Technology

Department of Automation and computer-integrated transport technologies

О. C. Гайденко, State University of Infrastructure and Technology

Department of Automation and computer-integrated transport technologies

Л. Л. Гончарова, State University of Infrastructure and Technology

Department of Automation and computer-integrated transport technologies

References

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Published

2019-10-04

Issue

Section

Automation and Diagnose