A dynamic charging strategy with hybrid fast charging station for electric vehicles

Elma O.

ENERGY, cilt.202, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 202
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.energy.2020.117680
  • Dergi Adı: ENERGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Agricultural & Environmental Science Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, Geobase, INSPEC, Metadex, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Electric vehicle, Fast charging station, Demand response, Hybrid energy resources, Dynamic energy management, ENERGY MANAGEMENT-SYSTEM, OPTIMAL OPERATION, DEMAND, V2G
  • Çanakkale Onsekiz Mart Üniversitesi Adresli: Hayır

Özet

The popularity of electric vehicles (EV) have been on the rise with technological advancements and environmental concerns. The charging time and charging demand are important challenges for EV adaptation. In order to address these challenges, a DC fast charging technology with a dynamic energy management system is proposed in this study. However, DC fast chargers require high power demand periods to reduce the charging time. This, in turn, will cause negative effects on the grid such as stability, resilience, and efficiency problems. The purpose of the study is to evaluate a hybrid DC fast charging station with the aim of reducing peak demand during charging periods. The proposed energy management algorithm together with the dynamic data use provides more reliable results on such systems operations. With the proposed control algorithm, both peak demand from the grid is substantially reduced by 45% and the battery life span is extended thanks to more controlled charge/discharge coordination. (C) 2020 Elsevier Ltd. All rights reserved.