Innovative Control of the Development of an Ergatic Electric Power System Based on Fuzzy Logic

Authors

  • Alexandra Churina National Aviation University

DOI:

https://doi.org/10.18372/1990-5548.69.16426

Keywords:

electric power system, mathematical programming

Abstract

This article deals with the search for a palliative optimal solution to the optimization of the electric power problem. A mathematical model of planning by the development of a hierarchical ergatic electric power system is proposed to be presented as an optimization problem of minimizing vectors. An innovative direction in modeling the control system of an ergatic electric power system based on artificial neural networks is also considered. It is noted that intelligent control systems for power supply systems are robust. The innovative concept of a smart power system is due to the integration into a hierarchical power system of renewable energy sources based on modern computer technologies. It is noted that during the operation of an intelligent electric power system, control systems must provide adaptive qualities in relation to the topology of the power supply system. It is proposed to investigate the solution to the optimization of electric power problems using methods of fuzzy mathematical programming.

Author Biography

Alexandra Churina, National Aviation University

Department of Automation and Energy Management

Aerospace Faculty, National Aviation University

Candidate of Science (Engineering). Associate Professor

References

T. Terano et al., Applied fuzzy systems. Moscow: Mir, 1993, p. 368. [in Russian]

G. K. Voronovsky et al., Genetic algorithms, artificial neural networks and virtual reality problems. Kharkov: Osnova, 1997, p. 112. [in Russian]

B. Kuo, Theory and design of digital control systems. Moscow: Mashinostroenie, 1986, p. 448. [in Russian]

N. I. Voropai et al., Justification of the development of electric power systems: methodology, models, methods, their use. Novosibirsk: Nauka, 2015, p. 448. [in Russian]

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Published

2021-12-21

Issue

Vol. 3 No. 69 (2021)

Section

AUTOMATION AND COMPUTER-INTEGRATED TECHNOLOGIES

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