基于多代理系统的电动汽车综合运营仿真平台设计与应用

电动汽车运营系统是一个复杂的系统，涉及多种类型的主体，主体具有很强的自主性和自适应性，传统的建模方法无法进行准确的建模。介绍了一个基于复杂适应理论及多代理系统（multi-agent system，MAS）的电动汽车综合运营仿真平台的设计、开发和应用。该平台基于JADE开发，可以对电动汽车运营、充电设施规划等问题中包括电网、充换电设施、电动汽车等在内的多个类型主体的行为进行仿真和分析，同时具有良好的适应性和扩展性。在此仿真平台上对南方某地区的一个算例进行建模，该模型详细地考虑了乘客的出行特性、电动出租车的充换电方式和交接班制度等，通过仿真运行研究了电动出租车的充电负荷特性，并与传统方法对比验证了基于多代理方法的优势。

Design and Implementation of a Multi-Agent-System Based on Electric Vehicles Operating Simulation Platform

Electric vehicles operating system is a complex adaptive system， it involves a variety of entities which are difficult to be modeled accurately due to their proactivity and social ability. In this paper， the design， implementation and application of a multi agent system （MAS） （electric vehicle） operating simulation platform was introduced. With this platform， behaviors of the entities such as system operator， vehicle drivers and charging facility operators， involving in EV operating and charging facility planning， were simulated and analyzed. Based on this platform， in which characteristics of passengers traveling， EVs charging and drivers shifting were comprehensively takes into account， a digital example for electric taxis in a city in South China was used to study the charging load characteristics. The simulation result was compared with that of a traditional method and demonstrates the advantages of multi-agent-system method.