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Models for optimal charging scheduling for electric vehicles in smart grid

Author

Listed:
  • Lihui Bai
  • Guangyang Xu
  • Nur Dayana Abd Rahman

Abstract

Electric vehicles have experienced high demand in the market, which will introduce a substantial new load to the current electricity grid. Furthermore, uncontrolled electric vehicle charging from residential users will exacerbate the existing peak load during evening hours. In this paper, we propose optimisation models to alleviate the impact of extra load from electric vehicles on the power grid. Particularly, two centralised models allow the controller to minimise the total electricity costs for all users. Consequently, load levelling of the entire power grid is achieved. On the other hand, a decentralised model allows each user to minimise his/her own electricity cost and studies the resulting system-wide load levelling. Our numerical results indicate significant improvements in the total cost and peak-to-average ratio by both the centralised and decentralised optimal charging scheduling models, when compared to the uncontrolled charging scenarios.

Suggested Citation

  • Lihui Bai & Guangyang Xu & Nur Dayana Abd Rahman, 2014. "Models for optimal charging scheduling for electric vehicles in smart grid," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 21(1), pages 59-83.
    • Handle: RePEc:ids:ijores:v:21:y:2014:i:1:p:59-83
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