Optimal sizing and siting of different types of EV charging stations in a real distribution system environment

• Tipo: Artigo em Revista Científica Internacional
• Data: 2022

Autores

Sengor, I (Autor) Outra; Erenoglu, AK (Autor) Outra; Guldorum, HC (Autor) Outra; Erdinc, O (Autor) Outra; Tascikaraoglu, A (Autor) Outra; Tastan, IC (Autor) Outra; Buyuk, AF (Autor) Outra; Catalao, JPS (Autor) FEUP

Revista

Título: IET Renewable Power Generation

Vol. 16

Páginas: 3171-3183

ISSN: 1752-1416

Editora: Wiley-Blackwell

Indexação

ISI Web of Knowledge - 4 Citações

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-00X-2A7

DOI: 10.1049/rpg2.12566

Abstract (EN): Due to the rising of both economic and environmental concerns in the energy sector, each subdivision of the community is investigating new solutions to overcome this critical issue. For this reason, electric vehicles (EVs) have gained more significance in the transportation sector owing to their efficient and clean operation chance. These improvements, however, bring new challenges such as installation costs, infrastructure renovation, and loading of the existing power system. Here, optimal sizing and siting of EV charging stations (CSs) are examined in a mixed-integer linear programming framework with the aim of minimizing the number of EVCSs in the distribution system (which in turn means to minimize CS-related investment while satisfying EV owners' needs) while satisfying constraints. The proposed optimization model considers EVCS types with different charging rate capabilities to provide opportunities for demand-side management. Moreover, the model takes the actual behaviour of the battery charging pattern into account by using real measured EV charging data together with the consideration of an actual distribution system belonging to a region in Turkey. Lastly, a bunch of case studies is conducted in order to validate the accuracy and effectiveness of the devised model.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 13