| 引用本文: | 孟锦鹏,向月,顾承红,陈诗杰,刘俊勇.面向可靠性提升的电动汽车充电基础设施协同优化规划[J].电力自动化设备,2021,41(6): |
| MENG Jinpeng,XIANG Yue,GU Chenghong,CHEN Shijie,LIU Junyong.Collaborative optimization planning of electric vehicle charging infrastructure for reliability improvement[J].Electric Power Automation Equipment,2021,41(6): |
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| 摘要: |
| 为了在电动汽车规模化发展的趋势下实现充电基础设施的科学配置，提出了一种“车-路-网”耦合系统的充电基础设施协同服务优化规划方法。以充电需求分析为基础，提出了一种电动汽车集群控制策略，用于模拟电网供电不足情况下弥补可靠性损失的控制模式；基于准序贯蒙特卡罗模拟方法，考虑用户对充电功率的选择偏好，设计了站内多类型充电设施协同服务模型；针对充电基础设施规划问题，提出了一种新的面向电网运行可靠性与电动汽车出行可靠性协同提升的多目标优化规划模型，并同时考虑投资成本和用户满意度的影响。通过对“车-路-网”耦合系统在多种场景与目标下进行仿真与分析，验证了所提方法的可行性和有效性。 |
| 关键词: 电动汽车 可靠性 准序贯蒙特卡罗模拟 充电基础设施规划 多类型充电设施 |
| DOI：10.16081/j.epae.202102019 |
| 分类号:U469.72 |
| 基金项目:国家自然科学基金资助项目(51807127)；四川省科技计划项目(2019YFH0171,20SYSX0233) |
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| Collaborative optimization planning of electric vehicle charging infrastructure for reliability improvement |
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MENG Jinpeng1, XIANG Yue1, GU Chenghong2, CHEN Shijie1, LIU Junyong1
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1.College of Electrical Engineering, Sichuan University, Chengdu 610065, China;2.Department of Electronic and Electrical Engineering, University of Bath, Bath BA27AY, UK
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| Abstract: |
| In order to realize the scientific configuration of charging infrastructure under the large-scale deve-lopment trend of EVs(Electric Vehicles),an optimal planning method of charging infrastructure collaborative service is proposed for the “EV-road-grid” coupled system. Based on the analysis of charging demand, an EV cluster control strategy is proposed to simulate the control mode for reliability loss consumption under the condition of insufficient power supply. Based on quasi-sequential Monte Carlo simulation method and considering users’ preference for charging power, a collaborative service model of multi-type charging infras-tructures within the station is designed. Aiming at the charging infrastructure planning problem, a new multi-objective optimal planning model is proposed, which is oriented to the collaborative improvement of power grid’s operation reliability and EVs’ travel reliability, and the influence of investment cost and user satisfaction is considered. The feasibility and validity of the proposed method are verified by the simulation and analysis of the “EV-road-grid” coupled system under various scenarios and objects. |
| Key words: electric vehicles reliability quasi-sequential Monte Carlo simulation charging infrastructure planning multi-type charging infrastructures |
