| 分时电价下电动汽车路径选择和充电导航策略 |
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| 引用本文： | 李明,邓友均,杨洪明,赖明勇,董朝阳,David J.Hill. 分时电价下电动汽车路径选择和充电导航策略[J]. 南方电网技术, 2016, 10(8): 61-66 |
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| 作者姓名： | 李明 邓友均 杨洪明 赖明勇 董朝阳 David J.Hill |
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| 作者单位： | 湖南省电动交通与智能配网工程技术研究中心（长沙理工大学电气与信息工程学院），长沙 410004,湖南省电动交通与智能配网工程技术研究中心（长沙理工大学电气与信息工程学院），长沙 410004,湖南省电动交通与智能配网工程技术研究中心（长沙理工大学电气与信息工程学院），长沙 410004,湖南省电动交通与智能配网工程技术研究中心（长沙理工大学电气与信息工程学院），长沙 410004,南方电网科学研究院，广州510080,湖南省电动交通与智能配网工程技术研究中心（长沙理工大学电气与信息工程学院），长沙 410004 |
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| 基金项目： | 国家自然科学基金资助项目(71331001，71420107027)；南方电网公司科技项目(WYKJ00000027) |
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| 摘 要： | 电动汽车路径选择和充电导航优化有助于提高用户出行效率,缓解大规模无序充电对配电系统安全运行的影响。考虑路径选择、电池容量及充放电状态互斥约束,构建了在分时电价机制下用户出行时间最优和充电成本最优两种不同决策目标下的电动汽车路径选择和充电导航优化模型。以某市中心20 km×20 km区域内包含4座快速充电站的交通网络及其所属配电系统为例进行数值仿真,分析了不同决策目标对用户出行路径以及电动汽车充放电对配电系统的影响,验证了所提模型和方法的可行性和有效性。
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| 关 键 词： | 分时电价；电动汽车；路径选择；充电导航 |
| 收稿时间： | 2016-03-02 |
Electric Vehicle Route Selection and Charging Navigation StrategyConsidering Time-of-Use Price |
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| LI Ming,DENG Youjun,YANG Hongming,LAI Mingyong,DONG Zhaoyang and H.J.David. Electric Vehicle Route Selection and Charging Navigation StrategyConsidering Time-of-Use Price[J]. Southern Power System Technology, 2016, 10(8): 61-66 |
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| Authors: | LI Ming DENG Youjun YANG Hongming LAI Mingyong DONG Zhaoyang H.J.David |
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| Affiliation: | Hunan Provincial Engineering Research Center of Electric Transportation and Smart Distributed Network , School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China,Hunan Provincial Engineering Research Center of Electric Transportation and Smart Distributed Network , School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China,Hunan Provincial Engineering Research Center of Electric Transportation and Smart Distributed Network , School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China,Hunan Provincial Engineering Research Center of Electric Transportation and Smart Distributed Network , School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China,Electric Power Research Institute, CSG, Guangzhou 510080, China and Hunan Provincial Engineering Research Center of Electric Transportation and Smart Distributed Network , School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China |
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| Abstract: | EV (electric vehicle) route selection and charging navigation optimization can improve EV user`s travel efficiency and alleviate the influence of large scale disorder charging on the safe operation of distribution system. Considering the constraints of path selection, battery capacity and mutually exclusive charge/discharge state, two optimization models for electric vehicle route selection and charging navigation with two different decision making objectives of optimal travel time and optimal charging cost of EV user are constructed respectively under time of use price mechanism. Numerical simulations are carried out to a transportation network containing 4 fast charging stations within a 20 km×20 km zone and its distribution system. The influence of various decision goals on user`s travel path and the influence of electric vehicles charging or discharging state on distribution system are analyzed, the results verify the feasibility and effectiveness of the proposed model and solution. |
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