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Electrical Engineering

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24.07.2023 | Original Paper

Multi-objective approach for optimized planning of electric vehicle charging stations and distributed energy resources

verfasst von: Rafael S. F. Ferraz, Renato S. F. Ferraz, Augusto C. Rueda Medina, Jussara F. Fardin

Erschienen in: Electrical Engineering | Ausgabe 6/2023

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Abstract

The increasing inclusion of electric vehicles (EVs) in distribution systems is a global trend due to their several advantages, such as increased autonomy and reduced price. However, this growth requires a high investment in electric vehicle charging stations (EVCSs) infrastructure to satisfy the demand. Thus, in this paper, an adequate planning of the EVCSs allocation and sizing is carried out to ensure better power quality indices, in addition to reducing costs related to EVCSs installation and EV users’ recharging. Besides the optimal planning of EVCSs, this paper performs the optimal allocation and sizing of distributed energy resources (DERs) in order to mitigate the problem related to voltage levels and power losses. Additionally, a spatial distribution of EVs was performed for the 24 h, considering residential and commercial nodes of a distribution feeder test, from the closeness centrality of graph theory. The non-dominated sorting genetic algorithm II (NSGA-II) was applied to obtain the Pareto curve, which made it possible to minimize the objective functions for the IEEE 34-node test feeder. Even with the integration of EV loads, the optimal allocation and sizing of EVCSs and DERs promoted a reduction in voltage deviation and power losses of 11.576% and 56.683%, respectively, in addition to a low variation in the energy costs of 4.447%.

Vorheriger Artikel Magnetic energy regulation of wireless power transfer systems based on coordinate transformation principle

Nächster Artikel Assessing performance of EV Charging Station with siting of DERs and FACTS devices under Deregulated Environment

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Titel: Multi-objective approach for optimized planning of electric vehicle charging stations and distributed energy resources
verfasst von: Rafael S. F. Ferraz
Renato S. F. Ferraz
Augusto C. Rueda Medina
Jussara F. Fardin
Publikationsdatum: 24.07.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: Electrical Engineering / Ausgabe 6/2023
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI: https://doi.org/10.1007/s00202-023-01942-z

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