Charging strategy in electric vehicle chargers by utilizing demand side management scheme

被引:8
|
作者
Khamis, Aziah [1 ]
Aiman, M. H. [1 ]
Faizal, W. M. [2 ]
Khor, C. Y. [2 ]
机构
[1] Univ Tekn Malaysia Melaka, Fak Kejuruteraan Elekt, Durian Tunggal 76100, Melaka, Malaysia
[2] Univ Malaysia Perlis, Fac Mech Engn & Technol, Arau 02600, Perlis, Malaysia
关键词
EV charger; Demand side management; Load shifting; IMPACT;
D O I
10.1016/j.epsr.2023.109240
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
Electric vehicles (EVs) have received significant attention recently, given their potential technical, environ-mental, and economic benefits. However, given the fact that EV charging could happen at peak demand. This situation may deteriorate the distribution network's overall performance, particularly in terms of voltage sta-bility. The novelty of this paper is to evaluate the impacts of the integration of EV chargers in the distribution network and to propose a charging strategy in EV chargers. The proposed charging strategy manages the power in the distribution network during the EV charger connection by utilizing demand side management. The IEEE 9-bus radial distribution system was used as the test network. Four scenarios were conducted by relevant assess-ments using the deterministic and probabilistic approaches. The result showed the influence of charging strategy on EV charging systems where it can reduce the impact of integration EV chargers by shifting the load of EV charging from the on-peak period to the off-peak period. As a result of using EV charging strategy, peak active power losses were reduced by 2.2 to 3.2 percent. The proposed method contributes the idea to the engineer and researcher in designing the EV charging strategy. However, the charging EV strategy could be further improved by optimizing the value of the relay setting of both the UVLS relay and the power demand relay in future research.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Demand-side management strategy in a smart home using electric vehicle and hybrid renewable energy system
    Chakir, Asmae
    Abid, Meryem
    Tabaa, Mohamed
    Hachimi, Hanaa
    [J]. ENERGY REPORTS, 2022, 8 : 383 - 393
  • [42] A demand-side approach to the optimal deployment of electric vehicle charging stations in metropolitan areas
    Andrenacci, N.
    Ragona, R.
    Valenti, G.
    [J]. APPLIED ENERGY, 2016, 182 : 39 - 46
  • [43] An Electric Vehicle Charging Management Scheme Based on Publish/Subscribe Communication Framework
    Cao, Yue
    Wang, Ning
    Kamel, George
    Kim, Young-Jin
    [J]. IEEE SYSTEMS JOURNAL, 2017, 11 (03): : 1822 - 1835
  • [44] An efficient on-demand charging scheduling scheme for mobile charging vehicle
    Zhong, Ping
    Xu, Aikun
    Gao, Jianliang
    Zhang, Yiming
    Chen, Yingwen
    [J]. INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2021, 34 (13)
  • [45] Optimal Charging and Discharging for Multiple PHEVs with Demand Side Management in Vehicle-to-Building
    Hung Khanh Nguyen
    Song, Ju Bin
    [J]. JOURNAL OF COMMUNICATIONS AND NETWORKS, 2012, 14 (06) : 662 - 671
  • [46] Solar-Hydrogen-Storage Integrated Electric Vehicle Charging Stations with Demand-Side Management and Social Welfare Maximization
    Duan, Lijia
    Taylor, Gareth
    Lai, Chun Sing
    [J]. WORLD ELECTRIC VEHICLE JOURNAL, 2024, 15 (08):
  • [47] A semi-cooperative decentralized scheduling scheme for plug-in electric vehicle charging demand
    Omran, Nima Ghiasnezhad
    Filizadeh, Shaahin
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2017, 88 : 119 - 132
  • [48] Electric Vehicle Charging Strategy in Metropolises in China
    Zhu Guiping
    Xing Yuhui
    [J]. 2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,
  • [49] Energy Management Strategy for Electric Vehicle Charging Station as Flexible Power Reserve
    Husnain, Ali
    Bamigbade, Abdullahi
    AlBeshr, Hamad
    Ghaoud, Tareg
    [J]. IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2021,
  • [50] A Decentralized Control Strategy for Optimal Charging of Electric Vehicle Fleets with Congestion Management
    Carli, Raffaele
    Dotoli, Mariagrazia
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON SERVICE OPERATIONS AND LOGISTICS, AND INFORMATICS (SOLI), 2017, : 63 - 67