Dynamic Voltage Stability Enhancement in Electric Vehicle Battery Charger Using Particle Swarm Optimization

被引:8
|
作者
Rajendran, Gowthamraj [1 ]
Vaithilingam, Chockalingam Aravind [1 ]
Naidu, Kanendra [2 ]
Alsakati, Ahmad Adel [1 ]
Oruganti, Kameswara Satya Prakash [1 ]
Fauzan, Mohd Faizal [3 ]
机构
[1] Taylors Univ, Fac Innovat & Technol, Sch Comp Sci & Engn, High Impact Res Lab, Subang Jaya 47500, Selangor, Malaysia
[2] Univ Teknol MARA UiTM, Coll Engn, Sch Elect Engn, Shah Alain 40450, Selangor, Malaysia
[3] Univ Kebangsaan Malaysia, Solar Energy Res Inst, Bangi 43600, Selangor, Malaysia
来源
IEEE ACCESS | 2022年 / 10卷
关键词
Vienna rectifier; voltage oriented controller (VOC); particle swarm optimization (PSO); electric vehicles; charging stations; PID CONTROLLER; DESIGN;
D O I
10.1109/ACCESS.2022.3199416
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Electric vehicles (EVs) are poised to lead the transportation sector as the primary choice of automobile due to their efficiency and environmental benefits. EVs with enhanced autonomy and reduced pricing have become feasible in the market, enabling a gradual transition for higher EV penetration. However, electric vehicles require highly efficient and stabilized charging stations in urban areas to ensure the vehicle's charging time is not compromised. In this regard, the Vienna rectifier with a voltage-oriented controller (VOC) plays a significant role in improving the power quality of the utility grid for EV battery charger applications. The low stability of the battery charger's output voltage and current is due to the trial-and-error method used to select the PI controller gains. In order to improve the voltage and current stability, the particle swarm optimization (PSO) technique is used to optimize VOC's PI controller gains. The code composer studio (CCS) platform integrates the PSO technique for EV battery chargers in the experimental setup. The Vienna rectifier with VOC for EV battery charger is implemented using TMS 320F28337 digital signal controller in the test board. Findings indicate that the PSO optimized VOC improves the output voltage and current stability by 12% compared to the existing trial-and-error technique. Furthermore, the proposed system is tested in an experimental setup that provides input current THD to less than 5% for different load variations (up to 1.5kW) to meet the IEEE-519 standards. Results from simulations and experimental setup verify that the proposed PSO-PI controller-based Vienna rectifier significantly improves EV battery chargers' output voltage and current stability.
引用
收藏
页码:97767 / 97779
页数:13
相关论文
共 50 条
  • [1] Loss Optimization for Voltage Stability Enhancement Incorporating UPFC Using Particle Swarm Optimization
    Kowsalya, M.
    Ray, K. K.
    Kothari, D. P.
    [J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2009, 4 (04) : 492 - 498
  • [2] Particle swarm optimization based sliding mode controllers for electric vehicle onboard charger
    Mathew, K. Kanthi
    Abraham, Dolly Mary
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2021, 96
  • [3] Unidirectional voltage converter for battery electric vehicle ultrafast charger
    Szymanski, Jerzy Ryszard
    Zurek-Mortka, Marta
    Acharjee, Dulal
    [J]. MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2021, 27 (08): : 2865 - 2872
  • [4] Unidirectional voltage converter for battery electric vehicle ultrafast charger
    Jerzy Ryszard Szymanski
    Marta Zurek-Mortka
    Dulal Acharjee
    [J]. Microsystem Technologies, 2021, 27 : 2865 - 2872
  • [5] Voltage Stability Enhancement Based on Particle Swarm Optimization and LP Technique
    Rayudu, K.
    Yesuratnam, G.
    Surendhar, K.
    Jayalaxmi, A.
    [J]. IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGICAL TRENDS IN COMPUTING, COMMUNICATIONS AND ELECTRICAL ENGINEERING (ICETT), 2016,
  • [6] Optimal placement of multiple STATCOM for voltage stability margin enhancement using particle swarm optimization
    Azadani, E. Nasr
    Hosseinian, S. H.
    Hasanpor, P.
    [J]. ELECTRICAL ENGINEERING, 2008, 90 (07) : 503 - 510
  • [7] Optimal placement of multiple STATCOM for voltage stability margin enhancement using particle swarm optimization
    E. Nasr Azadani
    S. H. Hosseinian
    P. Astero
    [J]. Electrical Engineering, 2008, 90 : 503 - 510
  • [8] Bidirectional Battery Charger for Electric Vehicle
    Tan, Kang Miao
    Ramachandaramurthy, Vigna K.
    Yong, Jia Ying
    [J]. 2014 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2014, : 406 - 411
  • [9] Regenerative Braking Optimization Using Particle Swarm Algorithm for Electric Vehicle
    Chai, Wong Siu
    bin Romli, Muhammad Izuan Fahmi
    Yaakob, Shamshul Bahar
    Fang, Liew Hui
    Aihsan, Muhammad Zaid
    [J]. JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2022, 26 (06) : 1022 - 1030
  • [10] Neighborhood Electric Vehicle Charging Scheduling Using Particle Swarm Optimization
    Peppanen, Jouni
    Grijalva, Santiago
    [J]. 2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION, 2014,