中文摘要：

近年来中国电动汽车产业及相关基础设施建设已经进入快速发展期，大规模电动汽车充电已经成为电网运营和规划必须面对的实际问题。由于电动汽车充电存在时间和空间上的随机性，为了研究插充模式下电动汽车充电对电网的影响，寻求大规模电动汽车充电接入系统情况下的系统应对策略，利用SWARM平台建立了基于多代理系统的电动汽车充电行为仿真软件。将电动汽车及充电设备作为具有适应性的主体，交通网络与电力网络作为主体生存环境，模拟主体与主体、主体与环境之间的交互和相互影响，主体通过学习不断优化自身决策。实验结果表明，该系统通过电动汽车、充电设施、电力网络、交通网络之间的互动建模，可以反映电动汽车充电行为与电网的应对策略，为研究电动汽车相关问题提供便捷工具。

英文摘要：

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 E~ 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.