Ordered Charging Strategy for Electric Vehicles Based on Load Balancing

被引:0
|
作者
Gou, FangJie [1 ]
Yang, JianWei [1 ]
Zang, Tianlei [2 ]
机构
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu, Sichuan, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
关键词
three-phase imbalance; Charging strategy; bilayer particle swarm optimization algorithm;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper proposes a charging strategy for electric vehicle based on load balance aiming at the different timeliness of household electricity consumption and the three phase imbalance of power distribution system caused by charging of electric vehicle. Firstly, the three-phase imbalance of the distribution system is reduced by adjusting the charging time of the electric vehicle, the size of the charging power, and the amount of charging loads inserted to per phase of the power distribution system. Secondly, the bilayer particle swarm optimization algorithm is used to solve the charging strategy. Finally, the simulation study of a residential area is carried out. The results show that the charging strategy proposed in this paper can not only ensure the voltage quality of the distribution system, but also can decrease the three-phase irregularity of the district power distribution system effectively and ensure the stable and reliable operation of the system.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] Voltage Dependent Load Models of Charging Electric Vehicles
    Sortomme, E.
    Negash, A. I.
    Venkata, S. S.
    Kirschen, D. S.
    [J]. 2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,
  • [42] A Method for Predicting Charging Load Demand of Electric Vehicles Based on Random Forest
    Che, Jiachen
    Feng, Ye
    Wu, Shuhong
    Qiu, Wenxin
    Zhou, Lin
    Ye, Shaojie
    [J]. PROCEEDINGS OF 2024 INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND ARTIFICIAL INTELLIGENCE, PEAI 2024, 2024, : 672 - 676
  • [43] SSA-SVR-Based Prediction Model of Charging Load for Electric Vehicles
    Li, Yingying
    Dong, Jian
    Lu, Xinyi
    Yuan, Jiahui
    Wang, Haixin
    Yang, Junyou
    Hu, Shiyan
    [J]. JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2024, 33 (01)
  • [44] Charging Load Forecasting of Electric Vehicles Based on VMD-SSA-SVR
    Wu, Yanjuan
    Cong, Peizhi
    Wang, Yunliang
    [J]. IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (02): : 3349 - 3362
  • [45] Distributed plug-in electric vehicles charging strategy considering driver behaviours and load constraints
    Kang, Ti
    Li, Huaqing
    Zheng, Lifeng
    Li, Jun
    Xia, Dawen
    Ji, Lianghao
    Shi, Yawei
    Wang, Huiwei
    Chen, Menggang
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2023, 220
  • [46] Travel Activity Based Stochastic Modelling of Load and Charging State of Electric Vehicles
    Iqbal, Muhammad Naveed
    Kutt, Lauri
    Lehtonen, Matti
    Millar, Robert John
    Puvi, Verner
    Rassolkin, Anton
    Demidova, Galina L.
    [J]. SUSTAINABILITY, 2021, 13 (03) : 1 - 14
  • [47] A Research of the Strategy of Electric Vehicle Ordered Charging based on the Demand side Response
    Wang, Jidong
    Yang, Yuhao
    He, Wei
    [J]. 2015 6TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS SYSTEMS AND APPLICATIONS (PESA), 2015,
  • [48] Charging guiding strategy for electric vehicles oriented to a valet charging service
    Jin Z.
    Hu Y.
    Li G.
    Yue S.
    [J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2022, 50 (14): : 76 - 84
  • [49] A dynamic charging strategy with hybrid fast charging station for electric vehicles
    Elma, Onur
    [J]. ENERGY, 2020, 202
  • [50] Research on Factors that Influence the Charging Load of Electric Vehicles and Modeling of the Load
    Shan, Jiang
    Lei, Wei
    Ning, Jiang
    Wei, Wang
    Huan, Yan
    [J]. PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016, : 1412 - 1415