基于多范式建模与仿真的电动汽车充换电站优化配置研究
首发时间:2017-06-13
摘要:本文基于多范式建模与仿真理论,采用基于Agent的建模与仿真方法(Agent-based Model and Simulation, ABMS)与离散事件建模与仿真方法(Discrete Event Model and Simulation,DEMS),对电动汽车充换电站运营系统涉及的组件(即多类型电动汽车和充换电设施),以及组件之间的交互关系分别进行建模,并利用Anylogic多范式建模与仿真平台搭建了考虑多类型电动汽车和充换电设施的充换电站的运营仿真模型,提出了充换电站运营、服务评价指标。然后基于所建立充换电站的多范式仿真模型提出了电动汽车充换电站的优化配置模型和求解方法,并对某地区电动汽车和充换电站实际数据进行了算例分析,验证了所提模型的正确性和有效性。
关键词: 多类型电动汽车 多类型充换电设施 充换电站优化配置 多范式建模与仿真 基于Agent的建模与仿真 离散事件建模与仿真
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Study on Allocation Optimization of EV Charging/Swtching Station based on Multi-paradigm Modeling and Simulation
Abstract:A multi-paradigm model of electric vehicle(EV) charging/switching station operation system, considering multi-type of EVs and charging/switching facilities is proposed in the paper. The multi-paradigm model combines two traditional modeling and simulation methods, agent-based model and simulation(ABMS) and discrete event model and simulation(DEMS). The components of EV charging/switching station operation system, including different types of EVs and charging/switching facilities, are modeled based on ABMS method, and the interactive relationships between them are modeled by DEMS method. The multi-paradigm model is established on a multi-formulism simulation platform, Anylogic. And a set of service evaluating indexes and a optimization model for EV charging/switching station are proposed based it. Finally, the validity and effectiveness of the proposed model is verified based real case studies.
Keywords: multi-type of EVs multi-type of charging/switching facilities charging/switching station allocation optimization multi-paradigm modeling and simulation agent-based model and simulation discrete event model and simulation
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