| 引用本文: | 侯慧,王逸凡,黄亮,陈跃,谢长君,张锐明.满足电动汽车快充需求的含储能复合型充电站充电优化策略[J].电力自动化设备,2022,42(1): |
| HOU Hui,WANG Yifan,HUANG Liang,CHEN Yue,XIE Changjun,ZHANG Ruiming.Charging optimization strategy of composite charging station with energy storage to meet fast charging demand of electric vehicles[J].Electric Power Automation Equipment,2022,42(1): |
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| 摘要: |
| 电动汽车(EV)快速充电站的功能正逐步向集成风光储等综合能源的复合型充电站方向发展，选择一种能够提高快速充电系统各方效益的充电优化策略有助于推广EV及新能源产业。在此背景下，通过电价激励手段，制定了提高EV与复合型充电站综合效益的充电优化策略。首先，基于EV充电时间成本与充电经济成本建立了EV综合最优路径规划模型；然后，根据EV决策结果所得不同的快充负荷及车流量，各复合型充电站通过调度站内储能，构建了复合型充电站的效益优化模型，以EV综合成本最优及复合型充电站综合效益最优为双重优化目标。以某区域18 km×18 km路网为算例对所提优化策略进行仿真，结果表明所提优化策略可有效降低EV充电综合成本，并大幅提高复合型充电站的综合效益。 |
| 关键词: 电动汽车 复合型充电站 路径规划 储能 可再生能源 充电优化 |
| DOI：10.16081/j.epae.202110013 |
| 分类号: |
| 基金项目:国家自然科学基金面上项目(52177110)；国家重点研发计划项目(2020YFB1506802,2018YFB0105700) |
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| Charging optimization strategy of composite charging station with energy storage to meet fast charging demand of electric vehicles |
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HOU Hui1, WANG Yifan1, HUANG Liang1,2, CHEN Yue1, XIE Changjun1, ZHANG Ruiming3
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1.School of Automation, Wuhan University of Technology, Wuhan 430070, China;2.Transformer Space-time Data Technology Limited Company, Wuhan 430070, China;3.Guangdong Guangshun Renewable Energy Technology Limited Company, Foshan 528000, China
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| Abstract: |
| The functions of rapid charging station for EVs(Electric Vehicles) are gradually developing towards the direction of composite charging station integrating comprehensive energy such as wind, photovoltaic, storage, and so on. Choosing a charging optimization strategy that can improve the benefits of all parties in the fast charging system is helpful to promote EVs and new energy industry. In this context, a charging optimization strategy is developed to improve the comprehensive benefits of EVs and composite charging stations by means of electricity price incentive. Firstly, the comprehensive optimal path planning model of EVs is established based on the charging time cost and charging economic cost of EVs. Then, according to the different fast charging load and vehicle flow obtained from EV decision results, the benefit optimization model of composite charging station is constructed by dispatching the energy storage in the station, with the optimal comprehensive cost of EVs and the optimal comprehensive benefit of composite charging stations as the dual optimization objectives. Taking an 18 km × 18 km road network in a certain region as the example, the proposed optimization strategy is simulated, and the simulative results show that the proposed optimization strategy can effectively reduce the comprehensive charging cost of EVs and greatly improve the comprehensive benefit of composite charging stations. |
| Key words: electric vehicles composite charging stations path planning energy storage renewable energy charging optimization |
