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车网互动过程的系统动力学分析 被引量:10

Research on Vehicle-to-grid Process Based on System Dynamics
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摘要 车网互动过程的影响因素众多,关联关系复杂。为分析车网互动过程中各因素之间的相互影响及相互作用关系,文章建立了车网互动过程的系统动力学分析模型,分析了车网互动过程的因果回路图,细化了电动汽车与电网子模块内部因素间的流量关系,探讨电价及出行计划对电动汽车充放电响应的影响规律,得出电网功率需求与电网电价调整之间的关系。算例仿真表明,车网互动过程的系统动力学模型可反映车网内部各变量之间的反馈结构关系,模拟车网互动的动态演变过程,分析车网互动决策的影响因素,继而为实际车网互动的实施提供了一种有效的分析方法。 There are many influencing factors in the process of vehicle-to-grid interaction,and the relationships between the factors are fairly complex.In order to analyze the mutual influence and interaction between the various factors in the vehicle-to-grid interaction process,a system dynamics analysis model of the vehicle-to-grid interaction process is established.The causal circuit diagram of the vehicle-to-grid interaction process is analyzed.The flow relationship between the electric vehicles and the internal factors of the grid sub-module is refined.The influence of the electricity prices and the travel plans on the charge and discharge response of the electric vehicles is illustrated.The relationship between the grid power demand and the grid price adjustment is derived.Numerical example simulation shows that the system dynamics model of the vehicle-to-grid interaction process can reflect the feedback structure relationship between the internal variables of the vehicle-to-grid.It simulates the dynamic evolution process of the vehicle-to-grid interaction and analyzes the influence factors of the vehicle-to-grid interaction decision.It also provides an effective analysis for the actual implementation of the vehicle-network interaction.
作者 程宏波 商子轩 郭源曦 康琛 曾伟 CHENG Hongbo;SHANG Zixuan;GUO Yuanxi;KANG Chen;ZENG Wei(School of Electrical and Automation Engineering,East China Jiaotong University,Nanchang 330013,Jiangxi Province,China;State Grid Jiangxi Electric Power Co.,Ltd.,Electric Power Research Institute,Nanchang 330096,Jiangxi Province,China)
出处 《电网技术》 EI CSCD 北大核心 2021年第10期4125-4133,共9页 Power System Technology
基金 国家自然科学基金项目资助(51667008,51967007)。
关键词 车网互动 系统动力学 因果回路 演进分析 vehicle-to-grid system dynamics causal circuit evolution analysis
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