Joint Optimal Scheduling for Electric Vehicle Battery Swapping-Charging Systems Based on Wind Farms

Mingfei Ban, Jilai Yu, Yiyun Yao

Research output: Contribution to journalArticlepeer-review

19 Scopus Citations

Abstract

Insufficiencies in charging facilities limit the broad application of electric vehicles (EVs). In addition, EV can hardly represent a green option if its electricity primarily depends on fossil energy. Considering these two problems, this paper studies a battery swapping-charging system based on wind farms (hereinafter referred to as W-BSCS). In a W-BSCS, the wind farms not only supply electricity to the power grid but also cooperate with a centralized charge station (CCS), which can centrally charge EV batteries and then distribute them to multiple battery swapping stations (BSSs). The operational framework of the W-BSCS is analyzed, and some preprocessing technologies are developed to reduce complexity in modeling. Then, a joint optimal scheduling model involving a wind power generation plan, battery swapping demand, battery charging and discharging, and a vehicle routing problem (VRP) is established. Then a heuristic method based on the exhaustive search and the Genetic Algorithm is employed to solve the formulated NP-hard problem. Numerical results verify the effectiveness of the joint optimal scheduling model, and they also show that the W-BSCS has great potential to promote EVs and wind power.

Original languageAmerican English
Article number9265475
Pages (from-to)555-566
Number of pages12
JournalCSEE Journal of Power and Energy Systems
Volume7
Issue number3
DOIs
StatePublished - May 2021

Bibliographical note

Publisher Copyright:
© 2015 CSEE.

NREL Publication Number

  • NREL/JA-5D00-80329

Keywords

  • Battery swapping station
  • electric vehicle
  • vehicle routing problem
  • wind power

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