| 引用本文: | 葛少云,孙睿,刘洪,徐正阳,李维宇.内嵌运行优化与动力电池梯次利用的光储充换电站多阶段规划[J].电力自动化设备,2022,42(10): |
| GE Shaoyun,SUN Rui,LIU Hong,XU Zhengyang,LI Weiyu.Multi-stage planning of charging and battery swapping station with photovoltaic and energy storage considering embedded operation optimization and cascaded utilization of electric vehicle batteries[J].Electric Power Automation Equipment,2022,42(10): |
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| 摘要: |
| 针对目前电动公交车充换电站规划过程中未充分考虑建设方案的过渡过程、运行策略与规划的交互影响、退役动力电池的充分利用等问题，提出了一种内嵌多时间尺度运行优化与动力电池梯次利用的光储充换电站多阶段规划方法。充分考虑不同的时间尺度，构建包含动力电池与储能单元多阶段容量配置、阶段内设备使用方案确定与日内优化运行的3层优化框架；分别针对容量配置和日内运行构建优化数学模型，并制定动力电池正常使用、预备退役、梯次利用直到淘汰的具体使用策略；基于充换电站规划与运行的相互作用关系，提出一种嵌套优化的求解方法，分别采用变种群规模的遗传算法和CPLEX求解器求解上、下层优化模型。通过算例仿真分析验证了所提模型和方法的合理性与有效性。 |
| 关键词: 光储充换电站 动力电池 多阶段规划 梯次利用 内嵌运行优化 |
| DOI：10.16081/j.epae.202204064 |
| 分类号:TM715;U469.72 |
| 基金项目:国家自然科学基金资助项目(51477116) |
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| Multi-stage planning of charging and battery swapping station with photovoltaic and energy storage considering embedded operation optimization and cascaded utilization of electric vehicle batteries |
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GE Shaoyun, SUN Rui, LIU Hong, XU Zhengyang, LI Weiyu
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Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
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| Abstract: |
| Aiming at the problems that the transition process of construction program, the interaction between operation strategy and planning, the full utilization of retired electric vehicle batteries, and so on, are not fully considered in the current planning process of electric bus charging and battery swapping station, a multi-stage planning method of charging and battery swapping station with photovoltaic and energy storage considering embedded multi-time scale operation optimization and cascaded utilization of electric vehicle batteries is proposed. Taking full account of different time scales, a three-layer optimization framework is constructed, including the multi-stage capacity configuration of electric vehicle batteries and energy storage units, the usage plan determination of equipment in each stage and the intra-day optimization operation. The optimization mathematical model is built for capacity configuration and intra-day operation respectively, and the specific usage strategy of electric vehicle batteries for normal use, preparation retirement and cascaded utilization until elimination is formulated. Based on the interactive relationship between planning and operation of charging and battery swapping station, an embedded optimization solution method is proposed, and the upper-and lower-layer optimization models are solved by using genetic algorithm with variable population size and CPLEX solver respectively. The rationality and effectiveness of the proposed model and method are verified by numerical simulation. |
| Key words: charging and battery swapping station with photovoltaic and energy storage electric vehicle batteries multi-stage planning cascaded utilization embedded operation optimization |
