“车路网”耦合下考虑行为决策的出行引导策略  

Travel Guidance Strategy Considering User Behaviors and Decisions under"Vehicle-Road-Net"Coupling

作　　者：吴铁洲[1] 李宜安 WU Tiezhou;LI Yi’an(Hubei Key Laboratory of Solar Energy Efficient Utilization and Energy Storage Operation Control,Wuhan 430068,China)

机构地区：[1]湖北工业大学太阳能高效利用及储能运行控制湖北省重点实验室,湖北武汉430068

出　　处：《湖北工业大学学报》2025年第2期22-28,共7页Journal of Hubei University of Technology

基　　金：中国湖北省重大科技创新项目(2018AAA056);国家自然科学基金(51677058)。

摘　　要：针对规模化电动汽车作为交通工具和移动负荷接入交通网和配电网后,为减小大规模电动汽车对交通和电力负荷峰值的影响,提出了一种“车路网”耦合下考虑行为决策的出行策略。首先根据电动汽车的大规模接入构建“车路网”的耦合模型;然后,基于第三代前景理论,根据耦合系统的运行状态对EV用户的行为决策进行分析,并依靠前景指标建立决策模型,以最小的运行成本建立出行引导策略方案。最后,采用Sioux Falls城市路网系统与IEEE33节点电网系统的耦合作为仿真算例,仿真结果表明,所提出行引导策略能够在负荷高峰时段协调充电负荷的分布和缓解交通压力,并降低EV用户的出行和充电成本。In order to reduce the impact of large-scale electric vehicles on traffic and power load peaks,we propose a"vehicle-road-net"coupling strategy that takes into account behavioral decisions.In order to reduce the impact of large-scale electric vehicles on traffic and power load peaks,we propose a travel strategy that considers behavioral decisions under the coupling of"vehicle-road-net".First,a coupling model of"vehicle-road-net"is constructed based on the large-scale access of EVs;then,a load model considering the large-scale access of EVs is established;finally,based on the third generation prospect theory,the behavioral decision of EV users is analyzed based on the operation state of the coupling system,and a decision model is established based on the prospect index to minimize the operating cost.operating cost to establish a travel guidance strategy scheme.The coupling of Sioux Falls urban road network system and IEEE33 node grid system is used as a simulation example,and the simulation results show that the proposed travel guidance strategy can coordinate the distribution of charging load and relieve traffic pressure during peak load hours,and reduce the travel and charging costs of EV users.

关 键 词：配电网 电动汽车 出行引导 第三代前景理论 

分 类 号：TM732[电气工程—电力系统及自动化] U491.8[交通运输工程—交通运输规划与管理]