Design and implementation of simulation software for electric vehicle charging behavior based on multi-agent system

Ciwei Gao*, Chuanyan Dong, Fei Xue

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


In recent years, China's electric vehicle industry and related infrastructure construction has entered a phase of rapid development, large-scale electric vehicle charging has become a practical problem in the grid operation and planning. The electric vehicle (EV) charging system is a complex adaptive system (CAS). We presented a multi-agent-based EV charging simulation system on SWARM platform for studying the impact of the large-scale electric vehicles integration into the power grid. We constructed two kinds of agents: the electric vehicle agent and the charging utility agent, and build the transportation and grid environments. We simulated the interaction among the agents, and that among the agents and the environments. The agents continuously optimize their decisions according to their learning. The results show that the simulation could reflects the actual EV charging conditions through the interaction modeling among the EV, charging utility, power grid and the transportation network. This provides a convenient tool for further studying of the EV related problems.

Original languageEnglish
Pages (from-to)68-77
Number of pages10
JournalZhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Issue number31
Publication statusPublished - 5 Nov 2012
Externally publishedYes


  • Complex adaptive system
  • Electric vehicle
  • Multi-agent system
  • Simulation

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