The Charging Station Choice Coordinated with the Existing Power Supply Systems of Apartment Buildings and Educational Institutions in a Megalopolis

The development of individual electric vehicles entails the need to provide electric charging stations in parking lots in the territories of already established and newly built urban neighborhoods. Their parameters and power consumption volumes must be consistent with the capacity of power supply systems and take into account daily load variations. To assess the available power capacity, the article considers the daily load schedules of apartment buildings on working days and weekends. The daily load power profiles of children's and secondary educational institutions are analyzed, and the load increase and decrease time intervals are estimated. The possibility of using the capacity margin provided for the emergency load is shown. Typical specific daily load schedules of apartment buildings have been developed for use in selecting the electric charging station parameters. The application of harmonic analysis to daily power profiles has shown that the first four harmonic components and a constant component equal to the specific daily power consumption are sufficient for their analytical description. The normal distribution law of the harmonic coefficients characterizing the specific level of harmonics is proved. The statistical identity of the power profiles of apartment buildings in Moscow is shown, and the need to separate them for working days and weekends is justified.

Authors

Publication Details

Journal
Elektrichestvo
Published
2025-02-03
DOI
https://doi.org/10.24160/0013-5380-2025-1-32-44
Citations
4
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
4.03
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article

The Charging Station Choice Coordinated with the Existing Power Supply Systems of Apartment Buildings and Educational Institutions in a Megalopolis

Yuriy I. Soluyanov, Vladimir Soluyanov, Azat Akhmetshin, Alexandr FEDOTOV et al.
4 citations
Elektrichestvo
Smart Parking Systems Research
4.03
article

The Charging Station Choice Coordinated with the Existing Power Supply Systems of Apartment Buildings and Educational Institutions in a Megalopolis

Yuriy I. Soluyanov, Vladimir Soluyanov, Azat Akhmetshin, Alexandr FEDOTOV, Natal'ya CHERNOVA
article en
4 citations

Abstract

The development of individual electric vehicles entails the need to provide electric charging stations in parking lots in the territories of already established and newly built urban neighborhoods. Their parameters and power consumption volumes must be consistent with the capacity of power supply systems and take into account daily load variations. To assess the available power capacity, the article considers the daily load schedules of apartment buildings on working days and weekends. The daily load power profiles of children's and secondary educational institutions are analyzed, and the load increase and decrease time intervals are estimated. The possibility of using the capacity margin provided for the emergency load is shown. Typical specific daily load schedules of apartment buildings have been developed for use in selecting the electric charging station parameters. The application of harmonic analysis to daily power profiles has shown that the first four harmonic components and a constant component equal to the specific daily power consumption are sufficient for their analytical description. The normal distribution law of the harmonic coefficients characterizing the specific level of harmonics is proved. The statistical identity of the power profiles of apartment buildings in Moscow is shown, and the need to separate them for working days and weekends is justified.

Elektrichestvo(1)
Sustainable cities and communities
Openalex Percentile: Top 8%
Smart Parking Systems Research
4.03
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The Charging Station Choice Coordinated with the Existing Power Supply Systems of Apartment Buildings and Educational Institutions in a Megalopolis — Yuriy I. Soluyanov, Vladimir Soluyanov, et al. · Elektrichestvo (2025) | TGRS Research Map | TGRS