考虑电动汽车用户行为特性的电力系统经济调度
CSTR:
作者:
通讯作者:

潘华(1976),男,硕士,副教授,硕士生导师,主要从事电力信息化与决策支持研究;Email:stevepan2005@126.com

中图分类号:

TM73

基金项目:

国家自然科学基金(71471136)


Power system economic dispatch considering the behavior characteristics of electric vehicle users
Author:
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [19]
  • | | | |
  • 文章评论
    摘要:

    随着电动汽车的普及,电动汽车充电行为对电网的影响日益突出,大规模电动汽车的无秩序充电将会对电网的安全可靠与经济调度造成较为严峻的负面影响。在此背景下,考虑电动汽车用户行为特性,进行电力系统经济调度问题研究。首先,以实测数据为基础,考虑电动汽车充电的不确定性,分析充电起始时间和持续时间,得到电动汽车充电负荷的时间分布。然后,以系统的煤耗成本与阀点效应成本之和最低为目标函数,并采用罚函数法将约束条件引入其中,建立计及电动汽车充电的电力系统经济调度模型。最后,对电动汽车的不同充电行为,采用布谷鸟搜索算法分别对其进行实例仿真,验证所提模型的正确性,并分析电动汽车不同充电行为对系统的影响。

    Abstract:

    With the popularization of electric vehicles, the impact of electric vehicle charging is becoming prominent for power grids, and disorderly charging of largescale electric vehicles also have severe negative influences on the safety and reliability of the power grid and economic dispatch. On this background, considering the behavior characteristics of electric vehicle users, the economic dispatch of power systems is studied. Firstly, on the basis of the measured data, the uncertainty of electric vehicle charging is considered and the charging start time and duration are analyzed to obtain the time distribution of electric vehicle charging load. Secondly, the minimum sum of the coal consumption cost and the valve point effect cost of the system is taken as the objective function, and the penalty function method is applied to add function constraints. An economic dispatch model of power system is then established with the impacts of electric vehicle charging in consideration. Finally, the different charging behaviors of electric vehicles are simulated with cuckoo search algorithms respectively to verify the correctness of the proposed model, and the effects of different electric vehicles charging behaviors are analyzed for power systems.

    参考文献
    [1] 胡泽春,宋永华,徐智威,等.电动汽车接入电网的影响与利用[J].中国电机工程学报,2012,32(4):110+25.HU Zechun,SONG Yonghua,XU Zhiwei,et al.Impacts and utilization of electric vehicles integration into power systems[J].Proceedings of the CSEE,2012,32(4):110+25.
    [2] 王闪闪,赵晋斌,毛玲,等.基于电动汽车移动储能特性的直流微网控制策略[J].电力系统保护与控制,2018,46(20):3138.WANG Shanshan,ZHAO Jinbin,MAO Ling,et al.A control strategy based on mobile energy storage characteristic of electric vehicles in DC microgrid[J].Power System Protection and Control,2018,46(20):3138.
    [3] 王斐,李正烁,叶萌,等.电动汽车充电对电网的影响及其优化调度研究述评[J].南方电网技术,2016,10(6):7080.WANG Fei,LI Zhengshuo,YE Meng,et al.Review on research of impact of electric vehicles charging on power grids and its optimal dispatch[J].Southern Power System Technology,2016,10(6):7080.
    [4] 陈彬,王业磊,许昭,等.计及电动汽车充电调度可行域的电力系统机组最优组合[J].华北电力大学学报,2014,41(1):3844.CHEN Bin,WANG Yelei,XU Zhao,et al.Unit commitment in power systems considering the charging dispatch feasible region of plug in electric vehicles[J].Journal of North China Electric Power University,2014,41(1):3844.
    [5] 曲荣海,秦川.电动汽车及其驱动电机发展现状与展望[J].南方电网技术,2016,10(3):8286+8.QU Ronghai,QIN Chuan.Development status and prospects of electric vehicles and their drive motors[J].Southern Power System Technology,2016,10(3):8286+8.
    [6] 荣经国,艾欣,吴界辰,等.考虑高比例电动汽车及风电协同参与的机组组合策略[J].智慧电力,2019,47(5):2531.RONG Jingguo,AI Xin,WU Jiechen,et al.Unit commitment strategy considering cooperated dispatch of high proportion of electric vehicles and wind power generation[J].Smart Power,2019,47(5):2531.
    [7] 邱威,张建华,刘念,等.计及插电式混合动力汽车规模化接入的多目标发电优化调度[J].电工技术学报,2013,28(12):160167.Qiu Wei,Zhang Jianhua,Liu Nian,et al.Multiobjective optimal generation dispatching with largescale plugin hybrid electric vehicles penetration[J].Transactions of China Electrotechnical Society,2013,28(12):160167.
    [8] 陆凌蓉,文福拴,薛禹胜,等.计及可入网电动汽车的电力系统机组最优组合[J].电力系统自动化,2011,35(21):1620.LU Lingrong,WEN Fushuan,XUE Yusheng,et al.Unit commitment in power systems with plugin electric vehicles[J].Automation of Electric Power Systems,2011,35(21):1620.
    [9] 赵俊华,文福拴,薛禹胜,等.计及电动汽车和风电出力不确定性的随机经济调度[J].电力系统自动化,2010,34(20):2229.ZHAO Junhua,WEN Fushuan,XUE Yusheng,et al.Power system stochastic economic dispatch considering uncertain outputs from plug in electric vehicles and wind generators[J].Automation of Electric Power Systems,2010,34(20):2229.
    [10] 李晓辉,李磊,刘伟东,等.基于动态交通信息的电动汽车充电负荷时空分布预测[J].电力系统保护与控制,2020,48(1):117125.LI Xiaohui,LI Lei,LIU Weidong,et al.Spatialtemporal distribution prediction of charging load for electric vehicles based on dynamic traffic information[J].Power System Protection and Control,2020,48(1):117125.
    [11] 高鹏彦,赵兴勇,姚方,等.考虑电动汽车时空分布的充电负荷建模[J].电力科学与技术学报,2019,34(3):4755.GAO Pengyan,ZHAO Xingyong,YAO Fang,et al.Modeling of charging loads considering the temporal and spatial distributions of electric vehicles[J].Journal of Electric Power Science and Technology,2019,34(3):4755.
    [12] 吴国沛,莫一夫,张勇军,等.计及调度用户两侧差异化需求的电动汽车可调度潜力评估[J].电力科学与技术学报,2019,34(2):6875.WU Guopei,MO Yifu,ZHANG Yongjun,et al.Schedulable potential evaluation of electric vehicles considering different requirements of dispatchers and users[J].Journal of Electric Power Science and Technology,2019,34(2):6875.
    [13] 荆朝霞,钟童科,林志龙,等.电动汽车充电行为对电网负荷曲线的影响[J].南方电网技术,2013,7(1):8084.JING Zhaoxia,ZHONG Tongke,LIN Zhilong,et al.The impact of electric vehicles charging behavior on the load curve of power grid[J].Southern Power System Technology,2013,7(1):8084.
    [14] 高亚静,赵开轩,张占龙,等.含风电场与电动汽车充换电站的电力系统经济调度[J].中国电力,2013,46(11):8488+93.GAO Yajing,ZHAO Kaixuan,ZHANG Zhanlong,et al.Power system economic dispatch containing wind power and electric vehicle battery swap station[J].Electric Power,2013,46(11):8488+93.
    [15] 刘延博,邱晓燕,邱高.考虑电动汽车用户响应的微电网运行优化[J].高压电器,2016,52(4):163169.LIU Yanbo,QIU Xiaoyan,QIU Gao.Optimal operation of micro grid account of the response of electric vehicle user[J].High Voltage Apparatus,2016,52(4)163169.
    [16] 赵玉新,杨新社,刘利强.新兴元启发式优化方法[M].北京:科学出版社,2013.
    [17] 兰少峰,刘升.布谷鸟搜索算法研究综述[J].计算机工程与设计,2015,36(4):10631067.LAN Shaofeng,LIU Sheng.Overview of research on cuckoo search algorithm[J].Computer Engineering and Design,2015,36(4):10631067.
    [18] 陈乐,龙文.求解工程结构优化问题的改进布谷鸟搜索算法[J].计算机应用研究,2014,31(3):679683.CHEN Le,LONG Wen.Modified cuckoo search algorithm for solving engineering structural optimization problem[J].Application Research of Computers,2014,31(3):679683.
    [19] 万隆,高明亮,梁作放,等,基于布谷鸟搜索算法的含风电场电力系统动态调度[J].山东理工大学学报:自然科学版,2015,29(6):15.WAN Long,GAO Mingliang,LIANG Zuofang,et al.Dynamic economic dispatch of wind farm based on cuckoo search algorithm[J].Journal of Shandong University of Technology(Natural Science Edition),2015,29(6):15.
    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

潘 华,梁作放,李永奎,等.考虑电动汽车用户行为特性的电力系统经济调度[J].电力科学与技术学报,2020,35(1):96-101.
PAN Hua, LIANG Zuofang, LI Yongkui, et al. Power system economic dispatch considering the behavior characteristics of electric vehicle users[J]. Journal of Electric Power Science and Technology,2020,35(1):96-101.

复制
分享
文章指标
  • 点击次数:220
  • 下载次数: 891
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 在线发布日期: 2020-08-20
文章二维码