居民小区电动汽车有序充电策略研究

doi:10.3969/j.issn.2097-0706.2023.01.010

综合智慧能源 ›› 2023, Vol. 45 ›› Issue (1): 82-87.doi: 10.3969/j.issn.2097-0706.2023.01.010

• 电力系统运行 • 上一篇

居民小区电动汽车有序充电策略研究

董伟杰¹(), 崔全胜²^,^*(), 郝澜欣¹, 王义龙¹, 刘国琳¹

1.北京信息科技大学机电工程学院，北京 100192
2.特变电工科技投资有限公司，天津 301799

收稿日期:2022-10-25 修回日期:2023-01-04 出版日期:2023-01-25 发布日期:2023-02-22
通讯作者: *崔全胜（1976），男，高级工程师，博士，从事智能配用电及综合能源系统优化方面的研究，little_cui@163.com。
作者简介:董伟杰（1982），男，讲师，博士，从事新能源科学与工程、微电网及分布式并网等方面的研究，dongweijie@bistu.edu.cn。
基金资助:
北京市教委科研计划项目(KM202111232022)

Study on orderly charging strategy of electric vehicles in residential areas

DONG Weijie¹(), CUI Quansheng²^,^*(), HAO Lanxin¹, WANG Yilong¹, LIU Guolin¹

1. College of Mechanical and Electrical Engineering，Beijing Information Science and Technology University，Beijing 100192，China
2. TBEA Technology Investment Company Limited，Tianjin 301799，China

Received:2022-10-25 Revised:2023-01-04 Online:2023-01-25 Published:2023-02-22
Supported by:
Scientific Research Plan of Beijing Education Commission(KM202111232022)

摘要/Abstract

摘要：

针对电动汽车在居民小区无序充电对电网系统产生严重隐患及充电间时过长问题，提出一种采用延迟充电的电动汽车有序充电控制策略，并在分析国内外电动汽车有序充电的研究现状后，设计了居民小区电动汽车有序充电策略的总体框架。该策略采用延迟充电对电动汽车进行有序充电控制，通过计算电动汽车的充电优先级来确定用户开始充电的时间以保证离开时电动汽车的荷电状态，最大程度达到用户期望荷电状态。通过算例仿真分析，证明提出的延迟充电策略可在满足用户对电动汽车充电量期望的同时达到削峰填谷的作用。

关键词: 电动汽车, 有序充电, 延迟充电, 削峰填谷, 储能

Abstract:

In view of the serious hidden danger to the power grid and long charging time caused by the random parking behaviors and disordered charging process of electric vehicles （EVs） in residential areas，an EV orderly charging control strategy with delayed charging is proposed.After analyzing the researches on EV orderly charging at home and abroad，the overall framework of an orderly charging strategy for EVs in urban communities is designed.The strategy can coordinate EV charging behaviors by delayed charging.It can ensure the state of charge （SoC） of the EV at departure time by setting its charging start time which is varies with the calculated charging priority，so as to meet users' demand for SoC to the greatest extent.The simulation analysis on a case show that the proposed strategy with delayed charging can achieve the effect of peak-load shifting on the premise of meeting users' expectations for EV charging results.

Key words: electric vehicle, orderly charging, delayed charging, peak-load shifting, renewable energy consumption, energy storage

中图分类号:

TK02：TM615

董伟杰, 崔全胜, 郝澜欣, 王义龙, 刘国琳. 居民小区电动汽车有序充电策略研究[J]. 综合智慧能源, 2023, 45(1): 82-87.

DONG Weijie, CUI Quansheng, HAO Lanxin, WANG Yilong, LIU Guolin. Study on orderly charging strategy of electric vehicles in residential areas[J]. Integrated Intelligent Energy, 2023, 45(1): 82-87.

图/表 10

图1

图2

表1

图3

图4

图5

图6

图7

图8

表2

参考文献 19

[1]	葛磊蛟, 崔庆雪, 李明玮, 等. 风光波动性电源电解水制氢技术综述[J]. 综合智慧能源, 2022, 44(5):1-14. doi: 10.3969/j.issn.2097-0706.2022.05.001
	GE Leijiao, CUI Qingxue, LI Mingwei, et al. Review on water electrolysis for hydrogen production powered by fluctuating wind power and PV[J]. Integrated Intelligent Energy, 2022, 44(5):1-14. doi: 10.3969/j.issn.2097-0706.2022.05.001
[2]	李景丽, 时永凯, 张琳娟, 等. 考虑电动汽车有序充电的光储充电站储能容量优化策略[J]. 电力系统保护与控制, 2021, 49(7):94-102.
	LI Jingli, SHI Yongkai, ZHANG Linjuan, et al. Optimization strategy for the energy storage capacity of a charging station with photovoltaic and energy storage considering orderly charging of electric vehicles[J]. Power System Protection and Control, 2021, 49(7):94-102.
[3]	贺瑜环, 杨秀媛, 陈麒宇, 等. 电动汽车智能充放电控制与应用综述[J]. 发电技术, 2021, 42 (2):180-192. doi: 10.12096/j.2096-4528.pgt.20022
	HE Yuhuan, YANG Xiuyuan, CHEN Qiyu, et al. Review of intelligent charging and discharging control and application of electric vehicles[J]. Power Generation Technology, 2021, 42 (2):180-192. doi: 10.12096/j.2096-4528.pgt.20022
[4]	JU X. A new AC charging system with orderly charging for electric vehicles[C]// 2013 5th International Conference on Power Electronics Systems and Applications (PESA).IEEE, 2013:1-4.
[5]	唐菁敏, 王杰, 刘思淼. 含电动汽车参与的微电网调度策略研究[J]. 电力科学与工程, 2021, 37(2):25-31. doi: 10.3969/j.issn.1672-0792.2021.2.025
	TANG Jingmin, WANG Jie, LIU Simiao. Research on dispatching strategy of microgrid with electric vehicle[J]. Electric Power Science and Engineering, 2021, 37(2):25-31. doi: 10.3969/j.issn.1672-0792.2021.2.025
[6]	谢子殿, 陈男, 孙晓东. 精英遗传算法的电动汽车有序充电策略[J]. 黑龙江科技大学学报, 2021, 31(1):105-109.
	XIE Zidian, CHEN Nan, SUN Xiaodong. Orderly charging strategy of electric vehicle based on ESGA[J]. Journal of Heilongjiang University of Science and Technology, 2021, 31(1):105-109.
[7]	GE L, LIU H, YAN J, et al. Optimal integrated energy system planning with DG uncertainty affine model and carbon emissions charges[J]. IEEE Transactions on Sustainable Energy, 2021, 13(2):905-918. doi: 10.1109/TSTE.2021.3139109
[8]	江明, 许庆强, 季振亚. 基于时序差分学习的充电站有序充电方法[J]. 电力工程技术, 2021, 40(1):181-187.
	JIANG Ming, XU Qingqiang, JI Zhenya. Coordinated charging approach for charging stations based on temporal difference learning[J]. Electric Power Engineering Technology, 2021, 40(1):181-187.
[9]	陈星. 电动汽车充电负荷预测及有序充电控制策略研究[D]. 郑州: 郑州大学, 2020.
	CHEN Xing. Research on charging load prediction and orderly charging control strategy of EV[D]. Zhengzhou: Zhengzhou University, 2020.
[10]	张永新, 闫鹏领, 朱国栋. 电动汽车充电站站网互动运行优化技术研究与实践[J]. 综合智慧能源, 2022, 44(6):45-51. doi: 10.3969/j.issn.2097-0706.2022.06.005
	ZHANG Yongxin, YAN Pengling, ZHU Guodong. Research and practice on the EV station-to-grid interactive operation optimization technology[J]. Integrated Intelligent Energy, 2022, 44(6):45-51. doi: 10.3969/j.issn.2097-0706.2022.06.005
[11]	GE L, LI Y, YAN J, et al. Short-term load prediction of integrated energy system with wavelet neural network model based on improved particle swarm optimization and chaos optimization algorithm[J]. Journal of Modern Power Systems and Clean Energy, 2021, 9(6):1490-1499. doi: 10.35833/MPCE.2020.000647
[12]	段俊东, 李高尚, 李一石, 等. 考虑风电消纳的电动汽车充电站有序充电控制[J]. 储能科学与技术, 2021, 10(2):630-637.
	DUAN Jundong, LI Gaoshang, LI Yishi, et al. Coordinated charging control for EV charging stations considering wind power accommodation[J]. Energy Storage Science and Technology, 2021, 10(2):630-637.
[13]	俞子聪, 龚萍, 王植, 等. 居民区电动汽车有序充放电控制策略[J]. 科学技术与工程, 2021, 21(1):380-386.
	YU Zicong, GONG Ping, WANG Zhi, et al. An orderly charging/discharging control strategy for electric vehicles in residential areas[J]. Science Technology and Engineering, 2021, 21(1):380-386.
[14]	王杰, 唐菁敏, 刘思淼. 基于用户响应度的电动汽车有序充放电策略[J]. 电子测量技术, 2021, 44(1):31-36.
	WANG Jie, TANG Jingmin, LIU Simiao. Orderly charging and discharging strategy of electric vehicles based on user responsiveness[J]. Electronic Measurement Technology, 2021, 44(1):31-36.
[15]	刘星月, 唐琳, 雷霖, 等. 计及电动汽车入网的冷热电微网系统优化配置研究[J]. 成都大学学报(自然科学版), 2020, 39(4):406-410.
	LIU Xingyue, TANG Lin, LEI Lin, et al. Optimal configuration research of CCHP micro-grid considering electric vehicles[J]. Journal of Chengdu University(Natural Science), 2020, 39(4):406-410.
[16]	王康平, 黄曲粲, 张兴科, 等. 考虑调峰成本的大规模电动汽车分群调度策略[J]. 综合智慧能源, 2022, 44(11):12-19.
	WANG Kangping, HUANG Qucan, ZHANG Xingke, et al. Strategy for large-scale electric vehicles cluster scheduling considering peak-shaving cost[J]. Integrated Intelligent Energy, 2022, 44(11):12-19.
[17]	李昊, 季振亚, 刘晓峰, 等. 基于综合可调度潜力评估的电动汽车优先调度策略[J]. 综合智慧能源, 2022, 44(11):1-11.
	LI Hao, JI Zhenya, LIU Xiaofeng, et al. Electric vehicle priority dispatch policy based on comprehensive dispatchable potential assessment model[J]. Integrated Intelligent Energy, 2022, 44(11):1-11.
[18]	葛磊蛟, 王守相, 王尧, 等. 多源异构的智能配用电数据存储处理技术[J]. 电工技术学报, 2015, 30(S2):159-168.
	GE Leijiao, WANG Shouxiang, WANG Yao, et al. Storage and processing technology of the multi-source isomerized data for smart power distribution and utilization[J]. Transactions of China Electrotechnical Society, 2015, 30(S2):159-168.
[19]	齐先军, 李冬伟, 纪姝彦. 采用功率限制的住宅区电动汽车有序充电控制策略[J]. 电网技术, 2016, 40(12):3715-3721.
	QI Xianjun, LI Dongwei, JI Shuyan. A coordinated charging control strategy for electric vehicles in residential area with power limitation[J]. Power System Technology, 2016, 40(12):3715-3721.

车辆编号	开始充电时间	充电时长/h	充满电后停留时长/h
A	14:00	1	0
B	14:00	4	0
C	14:00	1	21
D	14:00	1	0
E	16:00	1	0
F	16:00	5	0
G	17:00	2	16
H	18:00	5	10
I	18:00	5	3
J	21:00	2	8
K	22:00	5	5
L	22:00	3	8
M	24:00	3	0
N	24:00	4	2
O	02:00	4	8

参数	有序充电模式	无序充电模式
EV数量	44	44
基础负荷峰值/kW	900	900
总负荷峰值/kW	928	1 161
是否超过红线	否	是
负荷峰谷差/kW	392	703

居民小区电动汽车有序充电策略研究

Study on orderly charging strategy of electric vehicles in residential areas

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 19

相关文章 15

编辑推荐

Metrics

本文评价

[1]	胡祖源, 靳现林, 谭雅之, 樊静宜. 基于改进粒子群算法的分布式光伏及储能系统优化配置[J]. 综合智慧能源, 2023, 45(1): 49-57.
[2]	赵鑫, 钱本华, 王睿, 柳虎, 翟硕, 赵梓亦. 电化学储能参与电网安全稳定控制的研究综述[J]. 综合智慧能源, 2023, 45(1): 58-66.
[3]	韩世旺, 赵颖, 张兴宇, 玄承博, 赵田田, 侯绪凯, 刘倩倩. 面向碳中和的新型电力系统氢储能调峰技术研究[J]. 综合智慧能源, 2022, 44(9): 20-26.
[4]	余果, 吴军, 夏热, 陈逸珲, 郭子辉, 黄文鑫. 构网型变流器技术的发展现状与趋势研究[J]. 综合智慧能源, 2022, 44(9): 65-70.
[5]	陈晗钰, 周晓亮, 刘立敏, 钱欣源, 王宙, 何非凡, 绳阳. 质子导体固体电解池电解水制氢研究进展[J]. 综合智慧能源, 2022, 44(8): 75-85.
[6]	冶兆年, 赵长禄, 王永真, 韩恺, 刘超凡, 韩俊涛. 基于纳什议价的共享储能能源互联网络双目标优化[J]. 综合智慧能源, 2022, 44(7): 40-48.
[7]	张荣权, 李刚强, 卜思齐, 刘芳, 朱玉祥. 基于自适应学习率萤火虫算法的多能源系统联合优化调度[J]. 综合智慧能源, 2022, 44(7): 49-57.
[8]	钟永洁, 纪陵, 李靖霞, 蒋衍君, 吴世伟, 王紫东. 虚拟电厂基础特征内涵与发展现状概述[J]. 综合智慧能源, 2022, 44(6): 25-36.
[9]	彭占磊, 杨之乐, 杨文强, 李慷. 电化学储能参与电力系统规划运行方法综述[J]. 综合智慧能源, 2022, 44(6): 37-44.
[10]	张永新, 闫鹏领, 朱国栋. 电动汽车充电站站网互动运行优化技术研究与实践[J]. 综合智慧能源, 2022, 44(6): 45-51.
[11]	王鑫, 陈祖翠, 卞在平, 王业耀, 吴育苗. 基于粒子群优化算法的智慧微电网风光储容量优化配置[J]. 综合智慧能源, 2022, 44(6): 52-58.
[12]	陈勇, 苏军划, 汪洋. 国内二氧化碳加氢合成甲烷应用可行性分析[J]. 综合智慧能源, 2022, 44(6): 86-90.
[13]	杜欣烨, 王建喜, 孙永辉, 何逸, 吴鹏鹏, 周伟. 计及海水淡化制氢的微电网混合储能优化规划[J]. 综合智慧能源, 2022, 44(5): 49-55.
[14]	童家麟, 吴瑞康, 茅建波, 吕洪坤. 燃煤机组深度调峰瓶颈改善及耦合调峰技术研究[J]. 综合智慧能源, 2022, 44(4): 43-50.
[15]	王长君, 闫君, 董勇, 宋占龙. 相变储能技术在热泵系统中的应用综述[J]. 综合智慧能源, 2022, 44(4): 51-64.