Game-based decentralized charging control for large populations of electric vehicles

Kun Xie*, Lei Dong, Xiaozhong Liao, Zhigang Gao, Yang Gao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This paper proposes a game-based decentralized charging control strategy for large populations of electric vehicles (EVs). Assuming all EV owners make their own charging strategy according to the electricity price and the total electricity demand of the day before, the owners can be guided to actively participate in the game by a set of electricity pricing mechanism. The existence of Nash equilibrium and the global optimum (or 'Valley-filling') of the charging strategy are verified. Simulation results demonstrate the convergence to the Nash equilibrium within a few iterations.

Original languageEnglish
Pages (from-to)252-256
Number of pages5
JournalPrzeglad Elektrotechniczny
Volume88
Issue number7 B
Publication statusPublished - 2012

Keywords

  • Decentralized charging control
  • Electric vehicles (EVs)
  • Nash equilibrium
  • Valley-filling

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