牛利勇;张帝;王晓峰;姜久春;张维戈;黄梅;

• 1:国家能源主动配电网技术研发中心(北京交通大学)

摘要(Abstract)：

通过调研分析深圳市电动出租车的实际运营数据,提出充电站充电设备时间利用率的计算方法。针对区域内充电站之间设备时间利用率分布不均衡的问题,提出了基于充电站信息和车辆信息的电动出租车充电引导系统,建立了充电引导模型,并采用改进的自适应变异粒子群算法引导电动出租车的充电行为。根据深圳充电站的实际数据进行算例仿真,仿真结果表明,经过充电引导后的电动出租车能根据充电站内充电桩的规模均匀分布到相应的充电站,实现区域内充电站之间充电设备利用率的均衡分布,从而提高充电设备时间利用率。仿真结果验证了所提充电引导方法的可行性。

关键词(KeyWords)： 电动出租车;充电引导;设备利用率;自适应变异粒子群算法

Abstract:

Keywords:

基金项目(Foundation): 北京高等学校青年英才计划项目(YETP0570)~~

作者(Author): 牛利勇;张帝;王晓峰;姜久春;张维戈;黄梅;

Email:

DOI: 10.13335/j.1000-3673.pst.2015.01.010

参考文献(References)：

• [1]Chan C C.The state of the art of electric,hybrid,and fuel cell vehicles[J].Proceedings of the IEEE,2007,95(4):704-718.
• [2]高赐威,张亮.电动汽车充电对电网影响的综述[J].电网技术,2011,35(2):127-131.Gao Ciwei,Zhang Liang.A survey of influence of electrics vehicle charging on power grid[J].Power System Technology,2011,35(2):127-131(in Chinese).
• [3]Clement K,Haesen E,Driesen J.Coordinated charging of multiple plug-in hybrid electric vehicles in residential distribution grids[C]//Power Systems Conference and Exposition,2009(PSCE’09)IEEE/PES.Seattle,USA:IEEE,2009:1-7.
• [4]Erol-Kantarci M,Sarker J H,Mouftah H T.Analysis of plug-in hybrid electrical vehicle admission control in the smart grid[C]//IEEE 16th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks(CAMAD),2011.Kyoto,Japan:IEEE,2011:56-60.
• [5]李秋硕,肖湘宁,郭静,等.电动汽车有序充电方法研究[J].电网技术,2012,36(12):32-38.Li Qiushuo,Xiao Xiangning,Guo Jing,et al.Research on scheme for ordered charging of electric vehicles[J].Power System Technology,2012,36(12):32-38(in Chinese).
• [6]Erol-Kantarci M,Mouftah H T.Prediction-based charging of PHEVs from the smart grid with dynamic pricing[C]//1st IEEE Workshop on Smart Grid Networking Infrastructure,2010.Denver,USA:IEEE,2011:1032-1039.
• [7]韩海英,和敬涵,王小君,等.基于改进粒子群算法的电动车参与负荷平抑策略研究[J].电网技术,2011,35(10):165-169.Han Haiying,He Jinghan,Wang Xiaojun,et al.Strategy research of V2G participating load responses based on improved particle swarm optimization[J].Power System Technology,2011,35(10):165-169(in Chinese).
• [8]田文奇,和敬涵,姜久春,等.基于自适应变异粒子群算法的电动汽车换电池站充电调度多目标优化[J].电网技术,2012,36(11):25-29.Tian Wenqi,He Jinghan,Jiang Jiuchun,et al.Multi-objective optimization of charging dispatching for electric vehicle battery swapping station based on adaptive mutation particle swarm optimization[J].Power System Technology,2012,36(11):25-29(in Chinese).
• [9]苏舒,孙近文,林湘宁,等.电动汽车智能充电导航[J].中国电机工程学报,2013,33(增刊):59-67.Su Shu,Sun Jinwen,Lin Xiangning,et al.Electric vehicle smart charging navigation[J].Proceedings of the CSEE,2013,33(Supl):59-67(in Chinese).
• [10]孙波,廖强强,谢品杰,等.车电互联削峰填谷的经济成本效益分析[J].电网技术,2012,36(10):30-34.Sun Bo,Liao Qiangqiang,Xie Pinjie,et al.A cost-benefit analysis model of vehicle-to-grid for peak shaving[J].Power System Technology,2012,36(10):30-34(in Chinese).
• [11]Sun Lihao,Yang Zaiyue.Optimal charging schedule of PHEV taxi with time-varying price[C]//31st Chinese Control Conference(CCC)2012.Hefei,China:IEEE,2012:2537-2542.
• [12]Yang Zaiyue,Sun Lihao,Chen Jiming,et al.Profit maximization for plug-in electric taxi with uncertain future electricity prices[J].IEEE Transactions on Power Systems,2014,29(6):3058-3068.
• [13]Jun-Li Lu,Mi-Yen Yeh,Yu-Ching Hsu,et al.Operating electric taxi fleets:a new dispatching strategy with charging plans[C]//IEEE International Electric Vehicle Conference(IEVC),2012.Greenville,USA:IEEE,2012:1-8.
• [14]张帝,姜久春,张维戈,等.基于遗传算法的电动汽车换电站经济运行[J].电网技术,2013,37(8):2101-2107.Zhang Di,Jiang Jiuchun,Zhang Weige,et al.Economic operation of electric vehicle battery swapping station based on genetic algorithms[J].Power System Technology,2013,37(8):2101-2107(in Chinese).
• [15]吕振肃,侯志荣.自适应变异的粒子群优化算法[J].电子学报,2004,32(3):416-420.LüZhensu,Hou Zhirong.Particle swarm optimization with adaptive mutation[J].Acta Electronica Sinica,2004,32(3):416-420(in Chinese).
• [16]熊虎,向铁元,祝勇刚,等.电动汽车电池更换站布局的最优规划[J].电力系统自动化,2012,32(9):1-6.Xiong Hu,Xiang Tieyuan,Zhu Yonggang,et al.Electric vehicle public charging stations location optimal planning[J].Automation of Electric Power Systems,2012,36(20):1-6(in Chinese).