电动汽车充电预约配对算法研究*

doi:10.11985/2020.02.003

电气工程学报 ›› 2020, Vol. 15 ›› Issue (2): 18-23.doi: 10.11985/2020.02.003

扫码分享

电动汽车充电预约配对算法研究^*

张鑫(),李琰(),王文斌,赵玉,徐天奇

云南民族大学电气信息工程学院昆明 650500

收稿日期:2020-01-14 出版日期:2020-06-25 发布日期:2020-07-31
通讯作者: 李琰 E-mail:1103290320@qq.com;18388056871@163.com
作者简介:张鑫,女,1997年生,硕士研究生。主要研究方向为电动汽车充电调度。E-mail:1103290320@qq.com
基金资助:
* 国家自然科学基金(61761049);云南省教育厅科学研究基金项目(2019Y0168)

Research on the Reservation Matching Algorithm for Electric Vehicles Charging

ZHANG Xin(),LI Yan(),WANG Wenbin,ZHAO Yu,XU Tianqi

School of Electrical and Information Technology, Yunnan Minzu University, Kunming 650500 China

Received:2020-01-14 Online:2020-06-25 Published:2020-07-31
Contact: LI Yan E-mail:1103290320@qq.com;18388056871@163.com

摘要/Abstract

摘要：

电动汽车(Electric vehicle,EV)是新能源汽车发展的主要趋势,也是未来社会可持续发展的必然选择。然而“里程焦虑”与长时间的充电排队严重制约着电动汽车的发展,因此,如何快速充电是当前研究的重点。针对电动汽车快速充电,综合不同时间段来考虑,提出了电动汽车快速预约充电的观点,以预约系统作为连接充电站与用户之间的纽带,在明确了区域内充电桩数量、时隙内申请充电车辆数量、充电桩结束当前充电任务的时间以及当前位置距充电站行驶时间等情况后,在汽车充电高峰期对充电桩和充电汽车两两匹配并选取剩余预约数最大的匹配,来最大化地解决充电拥堵问题,并在用电低谷期提高电动汽车用户充电效率。最后通过试验进行仿真,仿真结果表明,该算法能有效地解决充电过程中的排队问题。

关键词: 电动汽车, 预约充电, 最优匹配

Abstract:

Electric vehicles (EV) is not only the main trend of the development of new energy vehicles, but also the inevitable choice of the future sustainable social development. However, range anxiety and long queues have seriously restricted the development of EV, and how to charge them quickly is the focus of current research. For the quick charge of EV, an idea of the EV fast charging reservation is proposed by comprehensively considering different time slots, taking the reservation system for third party service platform as the link connecting charging stations with users, charging piles are matched with cars after specifying the number of charging piles in the region, the number of cars applying for charging during the time slot and the time of completing current charge mission, and the number of remaining appointments is matched to maximally solve the problem of charge congestion and improve the charge efficiency of EV users during the period of low ebb. Finally, through simulation tests, it is showed that this algorithm can effectively solve the queuing problem during the process of charging.

Key words: Electric vehicles, appointment recharge, optimal matching

中图分类号:

U469

张鑫, 李琰, 王文斌, 赵玉, 徐天奇. 电动汽车充电预约配对算法研究^*[J]. 电气工程学报, 2020, 15(2): 18-23.

ZHANG Xin, LI Yan, WANG Wenbin, ZHAO Yu, XU Tianqi. Research on the Reservation Matching Algorithm for Electric Vehicles Charging[J]. Journal of Electrical Engineering, 2020, 15(2): 18-23.

图/表 9

图1

表1

表2

图2

图3

表3

表4

图4

图5

参考文献 13

[1]	冯培磊, 董治全, 徐天奇, 等. 电动汽车入网控制策略研究综述[J]. 电气技术, 2017(12):8-14.
	Feng Peilei, Dong Zhiquan, Xu Tianqi, et al. A review of the research on electric vehicle network access control strategy[J]. Electrical Engineering, 2017(12):8-14.
[2]	于海洋, 张路, 任毅龙. 基于出行链的电动汽车充电行为影响因素分析[J]. 北京航空航天大学学报, 2019,45(9):1732-1740.
	Yu Haiyang, Zhang Lu, Ren Yilong. Analysis of factors influencing EV charging behavior based on travel chain[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019,45(9):1732-1740.
[3]	孙叶, 刘锴. 里程焦虑对纯电动汽车使用意愿的影响[J]. 武汉理工大学学报, 2017,41(1):87-91.
	Sun Ye, Liu Kai. The effect of range anxiety on the willingness to use pure electric vehicles[J]. Journal of Wuhan University of Technology, 2017,41(1):87-91.
[4]	李恒杰, 吕俊青, 陈伟, 等. 基于时序谷时段充电的小区电动汽车负荷预测[J]. 电气工程学报, 2019,14(1):95-100.
	Li Hengjie, Lü Junqing, Chen Wei, et al. Load prediction of residential EV based on charging in time series valley[J]. Journal of Electrical Engineering, 2019,14(1):95-100.
[5]	陈丽丹, 张尧, Antonio F. 融合多源信息的电动汽车充电负荷预测及其对配电网的影响[J]. 电力自动化设备, 2018,38(12):1-10.
	Chen Lidan, Zhang Yao, Antonio F. Electric vehicle charging load prediction with multi-source information and its influence on distribution network[J]. Electric Power Automation Equipment, 2018,38(12):1-10.
[6]	师瑞峰, 李少鹏. 电动汽车V2G问题研究综述[J]. 电力系统及其自动化学报, 2019,31(6):28-37.
	Shi Ruifeng, Li Shaopeng. Research review on V2G problem of electric vehicle[J]. Proceedings of the CSU-EPSA, 2019,31(6):28-37.
[7]	陈丽丹, 张尧. 电动汽车随机充电对配电网影响的研究[J]. 电力科学与技术学报, 2016,31(1):62-69.
	Chen Lidan, Zhang Yao. Research on the influence of random charging of electric vehicles on distribution network[J]. Journal of Electric Power Science and Technology, 2016,31(1):62-69.
[8]	符云辉, 黄敏, 袁平. 基于双边满意度匹配电动汽车充电调度策略[J]. 西南科技大学学报, 2019,34(1):92-96.
	Fu Yunhui, Huang Min, Yuan Ping. Matching EV charging scheduling strategy based on bilateral satisfaction[J]. Journal of Southwest University of Science and Technology, 2019,34(1):92-96.
[9]	尤鹏程. 电动汽车换电调度[D]. 杭州:浙江大学, 2018.
[10]	蒲勇健. 物联网协调的电动汽车快速充电最优预约算法[J]. 重庆大学学报, 2014,37(2):62-68.
	Pu Yongjian. The Internet of things coordinates the optimal reservation algorithm for quick charging of electric vehicles[J]. Journal of Chongqing University, 2014,37(2):62-68.
[11]	郝越. 电动汽车无序充电的影响分析[J]. 通信电源技术, 2019,36(11):94-96,100.
	Hao Yue. Analysis on the influence of disordered charging of electric vehicles[J]. Telecom Power Technology, 2019,36(11):94-96,100.
[12]	朱兰, 王忠秋, 唐陇军, 等. 考虑电动汽车有序充电的电网低谷调峰优化研究[J]. 上海电力学院学报, 2019,35(4):301-307.
	Zhu Lan, Wang Zhongqiu, Tang Longjun, et al. An optimization study of off-peak peak adjustment of electric network considering the orderly charging of electric vehicles[J]. Journal of Shanghai University of Electric Power, 2019,35(4):301-307.
[13]	徐天奇, 冯培磊, 李琰, 等. 电动汽车用户选择充电站最佳经济途径的方法研究[J]. 电气应用, 2019,38(2):61-70.
	Xu Tianqi, Feng Peilei, Li Yan, et al. Research on the best economic way for EV users to choose charging stations[J]. Electrotechnical Application, 2019,38(2):61-70.

参量	充电桩
参量	A	B	C	D	E
1	37	42	18	9	21
2	6	54	21	72	11
3	17	25	100	63	13
4	3	24	52	27	33
5	44	52	89	22	25
6	14	19	48	90	33
7	55	61	32	17	26

电动汽车充电预约配对算法研究^*

Research on the Reservation Matching Algorithm for Electric Vehicles Charging

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 9

参考文献 13

相关文章 10

编辑推荐

Metrics

本文评价

[1]	黄其,罗玲,金良宽,唐扬. 轴向磁通永磁轮边电动机设计与研究 ^*[J]. 电气工程学报, 2019, 14(4): 32-41.
[2]	李恒杰,吕俊青,陈伟,裴喜平. 基于时序谷时段充电的小区电动汽车负荷预测 ^*[J]. 电气工程学报, 2019, 14(1): 95-100.
[3]	吕长吉,张炳义,冯桂宏. 基于转矩平衡的自适应电子差速控制策略研究[J]. 电气工程学报, 2018, 13(8): 26-31.
[4]	赵彦锦,孟庆海,陈鹏,王进己. 考虑电动汽车的配电网无功优化[J]. 电气工程学报, 2017, 12(3): 48-52.
[5]	徐从启,高瑞林,贾桂芝,王永谦,刘庆辉. 考虑分时电价电动汽车负荷的微电网优化调度[J]. 电气工程学报, 2017, 12(11): 12-20.
[6]	茹永刚,尹忠东,张恺,孙景,何照安,王利强. 电动汽车充电设备电气安全保护能力量化考核指标研究[J]. 电气工程学报, 2017, 12(10): 25-30.
[7]	陈鹏,孟庆海,赵彦锦. 基于蒙特卡洛法的电动汽车充电负荷计算[J]. 电气工程学报, 2016, 11(11): 40-46.
[8]	刘晓飞,崔淑梅,谢富鸿,徐石明. 基于停车需求模型的电动汽车V2G放电负荷时空分布预测[J]. 电气工程学报, 2015, 10(8): 22-28.
[9]	陈中,黄学良. 电动汽车规模化发展所面临的挑战与机遇[J]. 电气工程学报, 2015, 10(4): 35-44.
[10]	刘晓飞,崔淑梅,李锦瑭,高唯峰,徐石明. 停车场电动汽车用户侧最优V2G控制策略研究[J]. 电气工程学报, 2015, 10(10): 44-51.