Locating and Sizing of Electric Vehicle Charging-swapping- discharging-storage Integrated Station

被引：0
|
作者：
He C. [1 ]
Wei G. [1 ]
Zhu L. [1 ]
Bao W. [1 ]
Gong B. [1 ]
机构：
[1] Department of Electrical Engineering, Shanghai University of Electrical Power, Yangpu District, Shanghai
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 02期
关键词：
Bi-level planning; Charging- swapping-discharging-storage integrated station (CSDSIS); EV actual shortest path optimization; EV space-time load model; Locating and sizing;
D O I：
10.13334/j.0258-8013.pcsee.181446
中图分类号：
学科分类号：
摘要：
According to the characteristics of EV distribution, the EV space-time load model was established, and the multi-scene EV space-time load was predicted, which was used as the basis for site selection and volume. The locating and sizing bi-level planning model of the charging-swapping-discharging- storage integrated station (CSDSIS) was established. The upper level planning took into account of the economics of grid investment and operation, and optimized the location of the CSDSIS, and the lower level planning optimized the service range of the CSDSIS with the shortest EV actual driving path, and returned the load of each CSDSIS to the upper level planning to optimal size. The integrated particle swarm optimization (PSO) algorithm and Dijkstra's algorithm were used to solve the bi-level programming problem of complex nonlinear multi-constraint optimization with the shortest path. The example verification shows that the EV space-time load model and locating and sizing bi-level planning model of the CSDSIS are feasible and effective. © 2019 Chin. Soc. for Elec. Eng.
引用
收藏
页码：479 / 489
页数：10
相关论文
共 29 条
  • [1] Liu F., Yang X., Shi S., Et al., Economic operation of microgrid containing charging-swapping- storage integrated station under uncertain factors of wind farm and photovoltaic generation, Power System Technology, 39, 3, pp. 669-676, (2015)
  • [2] Wu W., Zhou J., Yu H., Et al., Power supply capability evaluation of power grid containing integrated charging-discharging-storage station, Power System Technology, 42, 4, pp. 1266-1273, (2018)
  • [3] Jia Y., Feng J., Yang M., Et al., General energy periodic control for EV change-diachange-storege integrated stations, Journal of Electric Power Science and Technology, 28, 4, pp. 3-9, (2013)
  • [4] Wei G., Li M., Lu W., Et al., Multistage ladder voltage control partitioning method containing grid- connected charging-discharging-storage integrative station, Proceedings of the CSEE, 35, 15, pp. 3823-3831, (2015)
  • [5] Lou Y., Jia Y., Feng J., Et al., A study on the control strategy for the islanded operation of the charge-discharge-storage integrated station, Power System and Automation, 36, 3, pp. 80-82, (2014)
  • [6] Yang M., Liu G., Fang X., Et al., Discussion on operation mode of charging-discharging-storage integrated station considering power network statuses, Power System Technology, 37, 5, pp. 1202-1208, (2013)
  • [7] Zhang H., Hu Z., Song Y., Et al., A prediction method for electric vehicle charging load considering spatial and temporal dribution, Automation of Electric Power Systems, 38, 1, pp. 13-20, (2014)
  • [8] Chen L., Nie Y., Zhong Q., A model for electric vehicle charging load forecasting based on trip chains, Transactions of China Electrotechnical Society, 30, 4, pp. 216-225, (2015)
  • [9] Shao Y., Mu Y., Yu X., Et al., A spatial- temporal charging load forecast and impact analysis method for distribution network using EVs-traffic- distribution model, Proceedings of the CSEE, 37, 18, pp. 5207-5219, (2017)
  • [10] Su S., Lin X., Zhang H., Et al., Spatial and temporal distribution model of electric vehicle charging demand, Proceedings of the CSEE, 37, 16, pp. 4618-4629, (2017)
123