Charging Guidance Strategy of Traveling Electric Vehicle Considering the Operation Safety of Distribution Network

被引:0
作者
Wang Y. [1 ]
Wang X. [2 ]
Cong R. [1 ]
Wang L. [3 ]
Huang Y. [1 ]
Chen D. [1 ]
机构
[1] School of Electrical Engineering, Qingdao University, Qingdao
[2] Zhuji Power Supply Company, State Grid Zhejiang Electric Power Company, Zhuji
[3] School of Information Engineering, Zhejiang University of Technology, Hangzhou
来源
Gaodianya Jishu/High Voltage Engineering | 2023年 / 49卷 / 05期
基金
中国国家自然科学基金;
关键词
charging guidance; charging station; electric vehicle; route planning; safe operation of distribution network; time-of-use electricity price in different regions;
D O I
10.13336/j.1003-6520.hve.20221129
中图分类号
学科分类号
摘要
Electric vehicles have incomparable advantages over traditional vehicles in terms of energy saving and emission reduction and promoting the “dual carbon” process. However, disordered charging of large-scale electric vehicles may aggravate the load fluctuation of distribution network and even cause safety problems such as low node voltage. This paper proposes a charging guidance strategy for traveling electric vehicles considering the safety of distribution network operation. First, based on the original load and node voltage of the distribution network, a sub-regional time-of-use price pricing model is established to establish a correlation between the electricity price and the load situation. Secondly, based on the formulated electricity price, the preparatory scheduling for charging behavior of Eelectric vehicles in different charging regions is put forwad. The principle of scheduling is that the charging cost of electric vehicles is the lowest, so as to guide electric vehicles to charge in the load valley and participate in the load optimization of the distribution network. Thirdly, the sum of the weights of charging cost, total travel time, and travel distance is set as the minimum to establish a selection function for the electric vehicle charging station, thus charging stations and plans of the optimal driving path for electric vehicles can be recommended, and the user economy and the operation safety of the distribution network can be optimized. Finally, the modified IEEE 33-node distribution network is taken as an example to verify that this strategy can effectively improve the travel satisfaction of electric vehicle users and take into account the operation safety of the distribution network. © 2023 Science Press. All rights reserved.
引用
收藏
页码:2131 / 2139
页数:8
相关论文
共 23 条
[1]  
GAO H, YU X H., Optimal modeling of intelligent guidance charging for urban areas electric vehicles, 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), pp. 1038-1042, (2018)
[2]  
LI Dongdong, DUAN Weiyi, LIN Shunfu, Et al., User guidance based matching strategy for electric vehicle-charging pile in condition of real-time electricity price, Automation of Electric Power Systems, 44, 8, pp. 74-82, (2020)
[3]  
PAN Zhenning, YU Tao, WANG Keying, Decentralized coordinated dispatch for real-time optimization of massive electric vehicles considering various interests, Proceedings of the CSEE, 39, 12, pp. 3528-3540, (2019)
[4]  
SONG Xiaotong, LU Qiannan, SUN Yi, Et al., Interactive strategy of electric vehicles and integrated energy system based on electricity price guidance, High Voltage Engineering, 47, 10, pp. 3744-3754, (2021)
[5]  
YANG H Y, ZHANG Y Y, MA Y H, Et al., Valley-period dispatched strategy of electric vehicles in charging station, 2019 4th International Conference on Intelligent Green Building and Smart Grid (IGBSG), pp. 652-656, (2019)
[6]  
LI Xianshan, CHEN Minrui, CHENG Shan, Et al., Research on optimal scheduling strategy of microgrid with electric vehicles based on dual incentive cooperative game, High Voltage Engineering, 46, 7, pp. 2286-2296, (2020)
[7]  
WANG Xingxing, ZHAO Jinquan, WANG Ke, Et al., Multi-objective bi-level electric vehicle charging optimization considering user satisfaction degree and distribution grid security, Power System Technology, 41, 7, pp. 2165-2172, (2017)
[8]  
HAO Lili, WANG Guodong, WANG Hui, Et al., Day-ahead scheduling strategy of distribution network considering electric vehicle-to-grid auxiliary service, Automation of Electric Power Systems, 44, 14, pp. 35-43, (2020)
[9]  
KANCHEV H C, SHTEREV V A, HINOV N L., Strategy for dispatching of multiple electric vehicles recharging in a microgrid, 2018 IEEE XXVII International Scientific Conference Electronics (ET), pp. 1-4, (2018)
[10]  
SU Su, YANG Tiantian, LI Yujing, Et al., Charging route planning for electric vehicles considering real-time dynamic energy consumption, Automation of Electric Power Systems, 43, 7, pp. 136-143, (2019)