Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ E3S Web of Conferenc...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
E3S Web of Conferences
Article . 2024
Data sources: DOAJ
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Development and research of an intelligent system for controlling the modes of power supply systems

Authors: Bashirov Mussa; Ilvina Yusupova; Shvan Mariya; Daminov Nargiz; Kuznetsov Kirill; Sagitov Timur;

Development and research of an intelligent system for controlling the modes of power supply systems

Abstract

The development of active-adaptive electrical networks with an intelligent control system involves the creation of energy information complexes with the possibility of continuous monitoring and remote control of the operating modes of all its components in order to optimize network parameters. This necessitates the need to adapt educational programs and training technologies to train specialists with skills in related fields. The paper describes a developed research complex with elements of artificial intelligence for performing research and studying intelligent systems and means of controlling the modes of power supply systems based on a set of educational equipment using real and virtual objects of electric power systems with adjustable parameters. Pychram Community Edition was chosen as the integrated development environment. The software part of the complex has been developed, including a digital twin of the stand, an executive part and a neural network model. The neural network allows you to optimize the parameters of an active-adaptive electrical network losses during electricity transmission.

Keywords

Environmental sciences, GE1-350

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold