Fuzzy Logic Algorithms to Assess the Total Resistance of In-house Power Supply Systems of Factories

This article analyzes the development of algorithms using the fuzzy logic methods to assess the total resistance of in-house power supply systems of factories for the calculation of electricity losses. Normally, the data on in-house power supply system mode parameters and circuits are quite uncertai...

Full description

Saved in:
Bibliographic Details
Published in2022 International Ural Conference on Electrical Power Engineering (UralCon) pp. 397 - 401
Main Authors Gracheva, Elena I., Naumov, Oleg V., Tabachnikova, Tatiana V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.09.2022
Subjects
factors
Fuzzy logic
in-station power supply
Low voltage
operation
optimization
Power engineering
Power grids
power losses
Power supplies
Production facilities
Resistance
total resistance
Online AccessGet full text

Cover

More Information
Summary:This article analyzes the development of algorithms using the fuzzy logic methods to assess the total resistance of in-house power supply systems of factories for the calculation of electricity losses. Normally, the data on in-house power supply system mode parameters and circuits are quite uncertain. This fact prevents the correct usage of classic deterministic approaches to the study of the operational parameters of equipment in power grids.The article develops the general functioning theory of the low voltage electrical equipment components and describes their systemic properties and connections. The authors provide the mathematical cimulation and optimization of power supply system components in electrical setups using the fuzzy logic algorithms to determine the target function change pattern (total power grid resistance) considering external impacts.
ISSN:2768-0797
DOI:10.1109/UralCon54942.2022.9906749