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A data driven approach for scheduling the charging of electric vehicles

机译:数据驱动的电动汽车充电调度方法

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Modern grid comprises of traditional power plant as well as non-conventional energy sources such as solar power plant generators, wind power plant generators etc. But the stochastic nature of renewable energy sources RESs result in fluctuating output by these generators fluctuating in nature. To compensate the effect of the fluctuation and random behavior, implementation of electric vehicles EVs is proposed. The large number of EVs introduces instability if the charging and scheduling of electric vehicles are not properly planned. The inclusion of EVs in the power grid can be better analyzed with the help of charging and scheduling techniques. Hence, this paper aims at the review of advantages, disadvantages of electric vehicles along with the concept of different charge scheduling techniques for electric vehicles. Further, data mining techniques are discussed for analyzing and scheduling the charging of electric vehicles.
机译:现代电网包括传统发电厂以及非常规能源,例如太阳能发电厂的发电机,风力发电厂的发电机等。但是,可再生能源RESs的随机性会导致这些发电机的输出波动,因为这些发电机的波动自然。为了补偿波动和随机行为的影响,提出了电动汽车EV的实现。如果电动汽车的充电和计划安排不当,大量的电动汽车会带来不稳定。借助充电和调度技术,可以更好地分析电动汽车在电网中的包含情况。因此,本文旨在回顾电动汽车的优缺点,以及针对电动汽车的不同充电调度技术的概念。此外,讨论了用于分析和调度电动车辆的充电的数据挖掘技术。

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