Using an Intelligent Control Method for Electric Vehicle Charging in Microgrids

被引:16
|
作者
Rastgoo, Samaneh [1 ]
Mahdavi, Zahra [1 ]
Nasab, Morteza Azimi [1 ]
Zand, Mohammad [1 ]
Padmanaban, Sanjeevikumar [1 ]
机构
[1] Univ South Eastern Norway, Dept Elect Engn IT & Cybernet, Kjolnes Ring 56, N-3918 Porsgrunn, Norway
来源
WORLD ELECTRIC VEHICLE JOURNAL | 2022年 / 13卷 / 12期
关键词
intelligent; optimization; car parking; battery;
D O I
10.3390/wevj13120222
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Recently, electric vehicles (EVs) that use energy storage have attracted much attention due to their many advantages, such as environmental compatibility and lower operating costs compared to conventional vehicles (which use fossil fuels). In a microgrid, an EV that works through the energy stored in its battery can be used as a load or energy source; therefore, the optimal utilization of EV clusters in power systems has been intensively studied. This paper aims to present an application of an intelligent control method to a bidirectional DC fast charging station with a new control structure to solve the problems of voltage drops and rises. In this switching strategy, the power converter is modeled as a DC fast charging station, which controls the fast charging of vehicles with a new constant current or reduced constant current method and considers the microgrid voltage stability. The proposed method is not complicated because simple direct voltage control realizes the reactive power compensation, which can provide sufficient injected reactive power to the network. As a result, the test is presented on a fast charging system of electrical outlets with a proposed two-way reactive power compensation control strategy, in which AC/DC converters are used to exchange two-way reactive power to maintain the DC link voltage as well as the network bus voltage in the range of the basis. This charging strategy is carried out through the simulation of fast charge control, DC link voltage control, and reactive power compensation control to adjust the voltage and modify the power factor in the MATLAB software environment and is then verified. Finally, the results indicate that the proposed method can charge with high safety without increasing the battery's maximum voltage. It can also significantly reduce the charging time compared to the common CV mode.
引用
收藏
页数:33
相关论文
共 50 条
  • [1] An Intelligent Charging Control Method for Electric Vehicle Charging System
    Zheng, Liu
    Shao-Sheng, Fan
    [J]. 2016 IEEE 2ND ANNUAL SOUTHERN POWER ELECTRONICS CONFERENCE (SPEC), 2016,
  • [2] A Simulation Study of Electric Vehicle Charging in Microgrids
    Zhang, Tianshu
    Su, Wencong
    Duan, Qing
    Meng, Xiaoli
    Yu, Jie
    Chen, Xiaoyi
    [J]. 2013 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2013,
  • [3] AC charging pile of electric vehicle and intelligent charging control strategy research
    Hu, Xuezhong
    Lin, Shengjin
    Wang, Haibin
    Jiao, Yang
    [J]. REVIEWS OF ADHESION AND ADHESIVES, 2023, 11 (03): : 64 - 83
  • [4] Intelligent Electric Vehicle Charging Controller
    Cardoso, Filipe
    Rosado, J.
    Silva, Marco
    Coelho Teixeira, C. J.
    Faustino Agreira, C., I
    Caldeira, Filipe
    Baptista, Pedro
    Barreto, Francisco
    Pereirinha, Paulo G.
    [J]. 2021 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2021,
  • [5] A State of the Art of DC Microgrids for Electric Vehicle Charging
    Kaur, Sachpreet
    Kaur, Tarlochan
    Khanna, Rintu
    Singh, Parampal
    [J]. PROCEEDINGS OF 4TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTING AND CONTROL (ISPCC 2K17), 2017, : 381 - 386
  • [6] Intelligent Adaptive Electric Vehicle Motion Control for Dynamic Wireless Charging
    Das, Lokesh Chandra
    Dasgupta, Dipankar
    Won, Myounggyu
    [J]. 2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC, 2023, : 2734 - 2741
  • [7] Social Acceptance of Microgrids Dedicated to Electric Vehicle Charging Stations
    Sechilariu, Manuela
    Locment, Fabrice
    Darene, Nathalie
    [J]. 2018 7TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2018, : 1374 - 1379
  • [8] Modeling and Simulation of DC Microgrids for Electric Vehicle Charging Stations
    Locment, Fabrice
    Sechilariu, Manuela
    [J]. ENERGIES, 2015, 8 (05): : 4335 - 4356
  • [9] Optimal Electric Vehicle Charging Strategy for Energy Management in Microgrids
    Musio, Maura
    Porru, Mario
    Serpi, Alessandro
    Marongiu, Ignazio
    Damiano, Alfonso
    [J]. 2014 IEEE INTERNATIONAL ELECTRIC VEHICLE CONFERENCE (IEVC), 2014,
  • [10] Intelligent Regulation on Demand Response for Electric Vehicle Charging: A Dynamic Game Method
    Zheng, Yuanshuo
    Luo, Jingtang
    Yang, Xiaolong
    Yang, Yuxuan
    [J]. IEEE ACCESS, 2020, 8 : 66105 - 66115