Research on orderly charging strategy of micro-grid electric vehicles in V2G model

被引:0
|
作者
Chen M. [1 ]
Gao J. [1 ]
Chang G. [2 ]
Bai F. [2 ]
机构
[1] Xuji Electric Co., Ltd. Intelligent Power Supply System Company, Xuchang
[2] Beijing Miaowei Technology Co., Ltd., Beijing
关键词
Dispatch strategy; Electric vehicle; Fuzzy control; Orderly charging;
D O I
10.19783/j.cnki.pspc.190697
中图分类号
学科分类号
摘要
In order to cope with the challenges brought by the large-scale electric vehicle access to the grid under the Vehicle-to-Grid (V2G) mode, and aiming at the consideration of the charging and discharging requirements of large-scale electric vehicles using the existing electric vehicle dispatching strategy is insufficient, an orderly charging strategy for micro-grid electric vehicles is introduced. The scheduling strategy uses the fuzzy control algorithm to optimize the charging plan according to the current micro-grid load status, electric vehicle charging demand and other real-time data, to meet the electric vehicle charging demand and achieve peak-load shifting of the power grid. 600 electric vehicles in a power distribution area are charged using the proposed dispatch strategy. After that, the strategy is compared and analyzed with the traditional instant charging strategy. The simulation results show that this strategy can effectively avoid the problem of load spike caused by a large number of electric vehicles connected to the power grid and provide services for the power grid peak-load shifting to achieve a win-win situation for users and the power grid. © 2020, Power System Protection and Control Press. All right reserved.
引用
收藏
页码:141 / 148
页数:7
相关论文
共 25 条
  • [1] ZHENG J, WANG X, MEN K, Et al., Aggregation model-based optimization for electric vehicle charging strategy, IEEE Transactions on Smart Grid, 4, 2, pp. 1058-1066, (2013)
  • [2] MA Z, CALLAWAY D S, HISKENS L A., Decentralized charging control of large populations of plug-in electric vehicles, IEEE Transactions on Control Systems Technology, 21, 1, pp. 67-78, (2013)
  • [3] XU Zhiwei, HU Zechun, SONG Yonghua, Et al., Coordinated charging strategy for PEV charging stations based on dynamic time-of-use tariffs, Proceedings of the CSEE, 34, 22, pp. 3638-3646, (2014)
  • [4] YANG H, YANG S, XU Y, Et al., Electric vehicle route optimization considering time-of-use electricity price by learnable partheno-genetic algorithm, IEEE Transactions on Smart Grid, 6, 2, pp. 657-666, (2015)
  • [5] CHEN Jingpeng, AI Qian, XIAO Fei, Optimal charging scheduling for massive electric vehicles based on cluster response, Automation of Electric Power Systems, 40, 22, pp. 43-48, (2016)
  • [6] YANG H, YANG S, XU Y, Et al., Electric vehicle route optimization considering time-of-use electricity price by learnable partheno-genetic algorithm, IEEE Transactions on Smart Grid, 6, 2, pp. 657-666, (2015)
  • [7] YAO W F, ZHAO J H, WEN F S, Et al., A hierarchical decomposition approach for coordinated dispatch of plug-in electric vehicles, IEEE Transactions on Power Systems, 28, 3, pp. 2768-2778, (2013)
  • [8] FRANCO J F, RIDER M J, ROMERO R., A mixed-integer liner programming model for the electric vehicle charging coordination problem in unbalanced electrical distribution systems, IEEE Transactions on Smart Grid, 6, 5, pp. 2200-2210, (2015)
  • [9] CHENG Shan, WU Siyuan, SUN Weibin, Planning of electric vehicle charging station considering voltage stability and charging service quality, Power System Protection and Control, 47, 7, pp. 12-21, (2019)
  • [10] LI Qiushuo, Research on models and strategies of electric energy coordinated consumption with electric vehicles integrated in power system, (2014)