基于MDP及激励需求响应的电动汽车有序充电控制
CSTR:
作者:
中图分类号:

TM714

基金项目:

国家自然科学基金(61572311,61872230)


Research on coordinated charging control for electric vehicles based on MDP and incentive demand response
Author:
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [18]
  • | | | |
  • 文章评论
    摘要:

    电动汽车充电行为的不确定性及随机性使充电负荷短时间内大量接入电网从而导致较大的负荷波动,同时,电动汽车的无序充电行为,不能在分时电价的条件下保证充电用户的利益。为缓解这些问题带来的负面影响, 首先,基于强化学习中马尔科夫决策过程(MDP)分析电动汽车的充电行为;然后,构造激励函数引导电动汽车根据电网供电裕度进行充电选择,得出同时满足负荷波动最小和用户花费最小的有序充电策略;最后,通过蒙特卡洛方法模拟电动汽车充电情况。有序充电仿真结果表明,该策略能有效地改善负荷叠加曲线,起到削峰填谷作用,并减少用户充电花费。

    Abstract:

    The uncertainty and randomness of the charging behavior of electric vehicles make a large number of charging loads connect to the grid in a short period of time, which will lead to large load fluctuations. At the same time, the disorderly charging behavior of electric vehicles can not guarantee the interests of charging users under the condition of time-of-use electricity prices. In order to alleviate the negative impact of these problems, the charging behavior of electric vehicles is firstly analyzed based on the Markov Decision Process (MDP) in the reinforcement learning. Secondly, an incentive function is constructed to guide the electric vehicle to make charging choice according to the power supply margin of the grid. Then an orderly charging strategy that meets the minimum load fluctuation and the minimum user cost at the same time is produced. Finally, the Monte Carlo method is utilized to simulate the charging status of electric vehicles. Results of orderly charging simulation show that the strategy can effectively improve the load superposition curve, play the role of peak shaving and valley filling and reduce the user charging cost.

    参考文献
    [1] 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.Study on the influence of electric vehiclesrandom charging on distribution network[J].Journal of Electric Power Science and Technology,2016,31(1):62-69.
    [2] Lu J,Chen Z H,Ma Z F,et al.The role of nanotechnology in the development of battery materials for electric vehicles[J].Nature Nanotechnology,2016,11(12):1031-1038.
    [3] Beltramo A,Julea A,Refa N,et al.Using electric vehicles as flexible resource in power systems:A case study in the Netherlands[C]//Proceedings of the 14th International Conference on the European Energy Market,Dresden,Germany,2017.
    [4] 欧名勇,陈仲伟,谭玉东,等.基于峰谷分时电价引导下的电动汽车充电负荷优化[J].电力科学与技术学报,2020,35(5):54-59.OU Mingyong,CHEN Zhongwei,TAN Yudong,et al.Optimization of electric vehicle charging load based on peaktovalley timeofuse electricity price[J].Journal of Electric Power Science and Technology,2020,35(5):54-59.
    [5] 常小强,宋政湘,王建华.基于蒙特卡罗算法的电动汽车充电负荷预测及系统开发[J].高压电器,2020,56(8):1-5.CHANG Xiaoqiang,SONG Zhengxiang,WANG Jianhua.Electric vehicle charging load prediction and system development based on Monte Carlo algorithm[J].High Voltage Electrical Apparatus,2020,56(8):1-5.
    [6] 蒋怡静,于艾清,黄敏丽.考虑用户满意度的电动汽车时空双尺度有序充电引导策略[J].中国电力,2020,53(4):122-130.JIANG Yijing,YU Aiqing,HUANG Minli.Coordinated charging guiding strategy for electric vehicles in temporalspatial dimension considering user satisfaction degree[J].Electric Power,2020,53(4):122-130.
    [7] 许翔泰,张仰飞,陈光宇,等.计及光伏发电的电动汽车充电优化调度研究[J].智慧电力,2019,47(10):44-50.XU Xiangtai,ZHANG Yangfei,CHEN Guangyu,et al.Optimal scheduling of charging for electric vehicle considering photovoltaic power generation[J].Smart Power,2019,47(10):44-50.
    [8] 周天沛,孙伟.基于充电设备利用率的电动汽车充电路径多目标优化调度[J].电力系统保护与控制,2019,47(4):115-123.ZHOU Tianpei,SUN Wei.Multi-objective optimal scheduling of electric vehicles for charging route based on utilization rate of charging device[J].Power System Protection and Control,2019,47(4):115-123.
    [9] 张帅,姚李孝.配电网对电动汽车可接纳能力分析[J].电网与清洁能源,2019,35(3):37-42+57.ZHANG Shuai,YAO Lixiao.Analysis of accommodation capacity of the distribution network for electric vehicles[J].Power System and Clean Energy,2019,35(3):37-42+57.
    [10] 安杨,李华强,阚力丰,等.考虑用户综合满意度的居民区电动汽车充放电优化策略[J].电测与仪表,2019,56(6):7-13.AN Yang,LI Huaqiang,KAN Lifeng,et al.Optimal charging-discharging strategy of electric vehicles in residential area considering user comprehensive satisfaction[J].Electrical Measurement & Instrumentation,2019,56(6):7-13.
    [11] 贺继锋,陈杰军,黄家祺,等.基于区域峰谷分时电价的电动汽车有序充电研究[J].电测与仪表,2018,55(6):23-29.HE Jifeng,CHEN Jiejun,HUANG Jiaqi,et al.Research on electric vehicle orderly charging based on regional peak-valley time-of-use price-[J].Electrical Measurement & Instrumentation,2018,55(6):23-29.
    [12] Di Silvestre M L,Sanseverino E R,Zizzo G,et al.An optimization approach for efficient management of EV parking lots with batteries recharging facilities[J].Journal of Ambient Intelligence & Humanized Computing,2013,4(6):641-649.
    [13] 杨春萍,赵祺,祁兵,等.基于用户利益与出行意愿的电动汽车充放电调度策略[J].电测与仪表,2018,55(8):106-112.YANG Chunping,ZHAO Qi,QI Bing,et al.Charge and discharge scheduling strategy of electric vehicle based on interest and travel intention[J].Electrical Measurement & Instrumentation,2018,55(8):106-112.
    [14] 陈静鹏,艾芊,肖斐.基于集群响应的规模化电动汽车充电优化调度[J].电力系统自动化,2016,40(22):43-48.CHEN Jingpeng,AI Qian,XIAO Fei.Optimal charging scheduling for massiveelectric vehicle based on cluster response[J].Automation of Electric Power Systems,2016,40(22):43-48.
    [15] 杨少兵,吴命利,姜久春,等.电动汽车充电站负荷建模方法[J].电网技术,2013,37(5):1190-1195.YANG Shaobing,WU Mingli,JIANG Jiuchun,et al.An approach for load modeling of electric vehicle charging station[J].Power Grid Technology,2013,37(5):1190-1195.
    [16] 黄其新,王启明,陆朱卫,等.基于sigmoid函数激励需求响应模型的电动汽车有序充电控制策略[J].电力科学与技术学报,2017,32(4):57-64.HUANG Qixin,WANG Qiming,LU Zhuwei,et al.Coordinated charging strategy forelectric vehicles based on sigmoid function stimulating demand response model[J].Journal of Electric Power Science and Technology,2017,32(4):57-64.
    [17] 钟小强.居民区的规模化电动汽车有序充电控制策略研究[J].电测与仪表,2018,55(12):88-91+107.ZHONG Xiaoqiang.Control strategies for large-scale orderly charging of electric vehicles in residential area[J].Electrical Measurement & Instrumentation,2018,55(12):88-91+107.
    [18] Aguilar C O,Krener A J.High-order numerical solutions to Bellman's equation of optimal control[C]//2012 American Control Conference(ACC),Montreal,QC,2012.
    相似文献
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

廖鑫,李婧,徐佳,等.基于MDP及激励需求响应的电动汽车有序充电控制[J].电力科学与技术学报,2021,36(5):79-86.
Liao Xin, Li Jing, Xu Jia, et al. Research on coordinated charging control for electric vehicles based on MDP and incentive demand response[J]. Journal of Electric Power Science and Technology,2021,36(5):79-86.

复制
分享
文章指标
  • 点击次数:294
  • 下载次数: 1184
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 在线发布日期: 2021-11-16
文章二维码