| 引用本文: | 刘洪,戚博硕,韩震焘,葛少云,张强.考虑移动充电车路径选择和能源补给的充电服务一体化经济调度[J].电力自动化设备,2018,(9): |
| LIU Hong,QI Boshuo,HAN Zhentao,GE Shaoyun,ZHANG Qiang.Integrated economic dispatching for charging service considering routing choice and energy supply of mobile charging vehicle[J].Electric Power Automation Equipment,2018,(9): |
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| 摘要: |
| 针对移动充电服务运营中车辆路径选择和能源补给缺乏科学的调度模型和工具作为指导的问题，提出了移动充电服务两过程一体化经济调度模型与方法。分析了移动充电服务运营模式。考虑动态路网和移动充电车的可复用性，构建了以物流成本最小为目标、以时间窗等为约束的车辆路径选择模型。考虑离散化的电池组荷电状态，构建了以充电成本最小为目标、以充电机数量等为约束的电池组有序充电整数规划模型。以移动充电车作为2个过程耦合的载体，构建了移动充电服务一体化经济调度模型，并采用遗传算法嵌套lpsolve工具箱对模型进行求解。通过算例对比分析验证了所提模型和算法的可行性和有效性。 |
| 关键词: 电动汽车 移动充电服务 经济调度 车辆路径 有序充电 整数规划 一体化调度 |
| DOI：10.16081/j.issn.1006-6047.2018.09.010 |
| 分类号:U469.72;TM73 |
| 基金项目:国家自然科学基金资助项目(51477116) |
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| Integrated economic dispatching for charging service considering routing choice and energy supply of mobile charging vehicle |
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LIU Hong1, QI Boshuo1, HAN Zhentao2, GE Shaoyun1, ZHANG Qiang1
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1.Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China;2.Economic and Technological Research Institute, State Grid Liaoning Electric Power Company, Shenyang 110013, China
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| Abstract: |
| Considering the fact that currently there is few scientific dispatching models and tools to guide the routing choice and energy supply of vehicles in mobile charging service operation, a two-process integrated economic dispatching model of mobile charging service is proposed. The operation modes of mobile charging service are analyzed. Considering the time variability of the road network and the reusability of mobile charging vehicles, a vehicle routing choice model with the minimum logistics cost as the objective and the time window etc. as the constraint is proposed. Considering the discrete SOC(State Of Charging) of batteries, a coordinated charging integer programming model with the minimum charging cost as the objective and the charger number as the constraint is proposed. Taking the mobile charging vehicles as the coupled carrier of the two processes, an integrated economic dispatching model for mobile charging service is constructed, and solved by the genetic algorithm nested lpsolve toolbox. The feasibility and effectiveness of the proposed model and algorithm are verified by the case study. |
| Key words: electric vehicles mobile charging service economic dispatching vehicle routing coordinated charging integer programming integrated dispatching |
