Intelligent Management of Electric Vehicle Charging and Optimizing the Operation of the Electric Power System

被引:0
|
作者
Rayudu K. [1 ]
Leena D. [2 ]
Sheikh R.U. [3 ]
Parimala R.V. [4 ]
Khan A.A. [5 ]
Ramya D. [6 ]
Gorthi R. [7 ]
机构
[1] Dept. of Electrical & Electronics Engg, B.V. Raju Inst. of Tech, Telangana, Medak
[2] Sagar Inst. of Sci. & Tech, Madhya Pradesh, Bhopal
[3] Dept. of Electrical Engg, Anjuman College of Engg. & Tech, RTM Nagpur University, Maharashtra, Nagpur
[4] Dept. of Electrical & Electronics Engg, KPR Inst. of Engg. & Tech, Tamil Nadu, Coimbatore
[5] Dept. of Electronics & Communication Engg, Sona College of Tech, Tamil Nadu, Salem
[6] Dept. of Electrical & Electronics Engg, Sathyabama Inst. of Sci. & Tech, Tamil Nadu, Chennai
[7] Dept. of Electrical & Electronics Engg, J.B. Inst. of Engg. & Tech, Telangana, Hyderabad
关键词
Electric vehicle; Electrical system; Particle Swarm Optimization; Recharge; Vehicle-to-grid;
D O I
10.4273/ijvss.16.2.08
中图分类号
学科分类号
摘要
The electric vehicle is becoming more and more present in the cities and before its presence becomes large-scale, it is necessary to consider how the penetration of the electric vehicle will affect the electrical system. It will be necessary to have implemented the necessary technologies so that the new demand for recharges is managed efficiently and intelligently. This is the objective of our study, the management of electric vehicle recharging in certain scenarios in an intelligent way. In this study it is ensured that the demand for charging by electric vehicle users is completely satisfied in an optimal way for the system. That is, when introducing the demand for charging electric vehicles, the charging curve is as flat as possible. The charging manager decides the timing of the energy needed for the fleet of electric vehicles without compromising the user’s journeys or the sustainability of the electrical system. This work presents the recharge management of different scenarios using particle swarm optimization for the distribution of daily recharges in a given population. © 2024. Carbon Magics Ltd.
引用
收藏
页码:177 / 185
页数:8
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