Network-adaptive and capacity-efficient electric vehicle charging site

Kalle Rauma, Toni Simolin, Pertti Järventausta, Antti Rautiainen, Christian Rehtanz

Tutkimustuotos: ArtikkeliScientificvertaisarvioitu

5 Lataukset (Pure)

Abstrakti

The adaptive charging algorithms of today divide the available charging capacity of a charging site between the electric vehicles without knowing how much current each vehicle draws in reality. Thus, they are not able to detect deviations between the current set point at the charging station and the real charging current. This leads to a situation where the charging capacity of the charging site is not used optimally. This paper presents an algorithm including a novel feature, Expected Characteristic Expectation and tested under realistic circumstances. It is demonstrated that the proposed algorithm enhances the adaptability of the charging site, increasing the efficiency of the used network capacity up to about 2 kWh per charging point per day in comparison with the previous benchmark algorithm. The algorithm is able to increase the average monetary benefits of the charging operators by up to around 5.8%, that is 0.6 € per charging point per day. No input, such as departure time, is required from the user. The proposed algorithm has been tested with real electric vehicles and charging stations and is compatible with the IEC 61851 charging standard. The charging algorithm is applicable in practice as it is described in this paper.
AlkuperäiskieliEnglanti
Sivut548-560
Sivumäärä13
JulkaisuIET Generation Transmission and Distribution
Vuosikerta16
Numero3
Varhainen verkossa julkaisun päivämäärä19 syysk. 2021
DOI - pysyväislinkit
TilaJulkaistu - helmik. 2022
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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