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A distributed approach to the integration of electric vehicles into future smart grids

机译:将电动车集成到未来智能电网的分布式方法

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For a large-scale introduction of electric vehicles (EVs) intelligent charging strategies are needed to adjust their energy demand to the production of renewable energy and the current load in the distribution grids. This paper presents an approach that puts the intelligence needed into the EVs, where most of the crucial information arise, thus minimizing the need of communication throughout the grid. The EVs shall be enabled to decide on a charging strategy using an optimization algorithm which creates a charging schedule based on the charging point's and the EV's capabilities, user input, battery degradation and a variable tariff for electricity. This algorithm has been implemented in a control device called the mobile Smart Meter (mSM), which is embedded in the EV, enabling it to handle the necessary communication and to create and monitor an optimized charging strategy. The results of a small-scale field trial shown in this paper delivered the proof of concept of the developed system.
机译:对于大规模引入电动汽车(EVS)智能充电策略,需要调整其能源需求,以生产可再生能源和分配网格中的电流负荷。本文介绍了一种方法,使智能进入EVS,其中大部分关键信息都产生,从而最大限度地减少了整个网格中的通信的需求。 EVS应使EVS使用优化算法决定充电策略,该优化算法基于充电点和EV的功能,用户输入,电池劣化以及电力的可变关税。该算法已经在称为移动智能仪表(MSM)的控制设备中实现,该算法嵌入在EV中,使其能够处理必要的通信并创建和监控优化的充电策略。本文中所示的小规模实地试验结果提供了开发系统的概念证明。

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