电动汽车
汽车工程
单相电力
电力
电气工程
功率(物理)
计算机科学
工程类
物理
量子力学
作者
K. Rayudu,Leena Daniel,U. Sheikh,R.V. Parimala,A. Khan,Ramya Devasahayam,Rajasekhar Gorthi
标识
DOI:10.4273/ijvss.16.2.08
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.
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