Considering the Quality of Electrical Energy of Organizations and Institutions' Electrical Complexes

The main distribution board of an office building is considered, for which monitoring of electrical energy quality parameters was carried out for twelve days and an analysis of the results obtained is presented. A classification of nonlinear consumers with a voltage of 380V is given. The coefficients of non-sinusoidality and n-th harmonic distortion of phase-to-phase voltages were determined for the building's distribution board section. A method for calculating the economic effect of quality failure of electrical energy is proposed. Based on the results of computational studies, the requirements for filter-compensating devices were determined.

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Published
2024-09-27
DOI
https://doi.org/10.1109/uralcon62137.2024.10718904
Primary Topic
Advanced Research in Systems and Signal Processing
Type
article
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article

Considering the Quality of Electrical Energy of Organizations and Institutions' Electrical Complexes

А. В. Рагуткин, V. A. Koltsov
Advanced Research in Systems and Signal Processing
article

Considering the Quality of Electrical Energy of Organizations and Institutions' Electrical Complexes

А. В. Рагуткин, V. A. Koltsov
article en

Abstract

The main distribution board of an office building is considered, for which monitoring of electrical energy quality parameters was carried out for twelve days and an analysis of the results obtained is presented. A classification of nonlinear consumers with a voltage of 380V is given. The coefficients of non-sinusoidality and n-th harmonic distortion of phase-to-phase voltages were determined for the building's distribution board section. A method for calculating the economic effect of quality failure of electrical energy is proposed. Based on the results of computational studies, the requirements for filter-compensating devices were determined.

MIREA - Russian Technological University (RU)
Affordable and clean energy
Openalex Percentile: Top 79%
Advanced Research in Systems and Signal Processing
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