Multi-agent system based charging and discharging of electric vehicles distributed coordination dispatch strategy

被引:0
|
作者
Yu N. [1 ]
Yu F. [1 ,2 ]
Huang D. [1 ]
Chen H. [1 ]
Zhang P. [3 ]
机构
[1] School of Electrical Engineering, Northeast Electric Power University, Jilin
[2] Shanxi Electric Power Survey and Design Co., Ltd., Energy Construction Group of China, Taiyuan
[3] State Grid Jilin Electric Power Company Limited, Changchun
基金
中国国家自然科学基金;
关键词
Distributed charging and discharging; Distribution network; Electric vehicle; Multi-agent system; Node voltage;
D O I
10.7667/PSPC180300
中图分类号
学科分类号
摘要
The large-scale Electric Vehicles (EV) uncontrolled charging behavior will increase the safety hazard of the power system operation, and a large number of EV charging and discharging control brings new challenge to energy management of the power system. In this paper, an improved EV charging and discharging distributed coordination dispatch control strategy based on Multi-Agent System (MAS) is proposed. It aims at the valley-filling, under the framework of the virtual price coordination mechanism, considers the distribution network three-phase balance, transformer capacity and node voltage constraint, and combining with MAS information interaction mechanism, adopts iterative correction of virtual price to achieve the intelligent charging and discharging of EV. Taking IEEE33 node system as an example, simulation and analysis verify the characteristics and effectiveness of the proposed method. © 2019, Power System Protection and Control Press. All right reserved.
引用
收藏
页码:1 / 9
页数:8
相关论文
共 25 条
  • [1] Hu Z., Song Y., Xu Z., Et al., Impacts and utilization of electric vehicles integration into power systems, Proceedings of the CSEE, 32, 4, pp. 1-10, (2012)
  • [2] Wang X., Shao C., Wang X., Et al., Survey of electric vehicle charging load and dispatch control strategies, Proceedings of the CSEE, 33, 1, pp. 1-10, (2013)
  • [3] Wang X., Zhou B., Tang H., A coordinated charging/discharging strategy for electric vehicles considering customers' factors, Power System Protection and Control, 46, 4, pp. 129-137, (2018)
  • [4] Hu W., He L., Chen J., Et al., A bi-layer optimization based schedule considering large-scale electric vehicles, Power System Protection and Control, 44, 21, pp. 22-28, (2016)
  • [5] Li Z., Guo Q., Sun H., Et al., Real- time charging optimization method considering vehicle charging prediction, Automation of Electric Power Systems, 38, 9, pp. 60-68, (2014)
  • [6] Yao W., Zhao J., Wen F., Et al., Frequency regulation strategy for electric vehicles with centralized charging, Automation of Electric Power Systems, 38, 9, pp. 69-76, (2014)
  • [7] Xu H., Xia X., Li H., Et al., An ordered charging strategy for electric vehicles accounting the compensation of predicted charging requests, Power System Protection and Control, 44, 24, pp. 74-81, (2016)
  • [8] Deilami S., Masoum A.S., Moses P.S., Et al., Real-time coordination of plug-in electric vehicle charging in smart grid to minimize power losses and improve voltage profile, IEEE Transactions on Smart Grid, 2, 3, pp. 456-467, (2011)
  • [9] Sortomme E., Ei-Sharkawi M., Optimal charging strategies for unidirectional vehicle to grid, IEEE Transactions on Smart Grid, 2, 3, pp. 456-467, (2011)
  • [10] Hoog J.D., Alpcan T., Brazil M., Et al., Optimal charging of electric vehicles taking distribution network constraints into account, IEEE Transactions on Power Systems, 30, 1, pp. 365-375, (2015)