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Electrical Engineering

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

  • 24-07-2023
  • Original Paper
Published in:
Authors
Rafael S. F. Ferraz
Renato S. F. Ferraz
Augusto C. Rueda Medina
Jussara F. Fardin
Published in
Electrical Engineering | Issue 6/2023

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Abstract

The article introduces a multi-objective optimization approach for the planning of electric vehicle charging stations (EVCSs) and distributed energy resources (DERs). It addresses the growing demand for EV charging infrastructure and the need to integrate DERs to enhance power system efficiency. The proposed approach uses the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to minimize costs, power losses, and voltage deviation. The methodology also considers uncertainties in demand and generation, making it a robust solution for real-world applications. The study validates the approach through comparisons with other optimization techniques, demonstrating its effectiveness in optimizing both EVCS and DER allocation and sizing.
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previous article Magnetic energy regulation of wireless power transfer systems based on coordinate transformation principle
next article Assessing performance of EV Charging Station with siting of DERs and FACTS devices under Deregulated Environment
Title
Multi-objective approach for optimized planning of electric vehicle charging stations and distributed energy resources
Authors
Rafael S. F. Ferraz
Renato S. F. Ferraz
Augusto C. Rueda Medina
Jussara F. Fardin
Publication date
24-07-2023
Publisher
Springer Berlin Heidelberg
Published in
Electrical Engineering / Issue 6/2023
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-023-01942-z
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