Constructive-synthesizing modeling of recovery energy distribution based on fuzzy logic

Authors

  • O. Ivanov
  • A.
  • O. Sablin
  • V. Shynkarenko

DOI:

https://doi.org/10.34185/1562-9945-4-159-2025-20

Keywords:

constructive-synthesizing modeling, direct current traction, formal grammars, constructor, fuzzy logic, software, information technologies.

Abstract

This article is the last of three that collectively explore solutions to the problem of re-generative energy distribution for its rational use. The solution is achieved through construc-tive-production modeling. Previously, a general constructive-production model of a direct current traction power supply section was developed and enriched with information on the attribute values of its con-stituent elements. In this work, based on expert data, a system for managing the distribution of regenerative energy is formed using constructive-production modeling and fuzzy logic. The developed model allows the formation of a text file in FTL format, which is used in the fuz-zyTECH system. FuzzyTECH, in turn, implements fuzzy inference mechanisms, considering the state of electrical equipment and the current situation on the power supply section, to effi-ciently distribute regenerative energy by controlling switches at direct current power supply substations. This approach is illustrated using a schematic of a linear power supply section with three substations and two trains. The developed models open new opportunities for improving energy efficiency, particu-larly in railway and urban public electric transport. The primary tasks of the system include identifying the existing traction substation equipment and assessing its technical characteris-tics, as well as optimizing the use of regenerative energy. Moreover, the proposed approach can be useful for solving issues related to the design of traction power supply systems, en-hancing their reliability, and reducing energy losses. Additionally, the implementation of fuzzy logic methods and constructive-production modeling not only improves the management of regenerative energy distribution but also cre-ates a universal approach that can be adapted to other types of electric transport. The pro-posed system has the potential for integration with intelligent networks and modern energy-saving technologies, opening new perspectives for the development of efficient transportation solutions.

References

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Published

2025-05-29