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Enhancing power quality in electrical distribution systems using a smart charging architecture

机译：使用智能充电架构提高配电系统的电能质量

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The electrification of the mobility sector comes with multiple challenges such as the lack of information on when, where, how long and how fast charging processes of electric vehicles will take place. In order to keep up with increasing power demand of charging processes, besides better predictions also the active control of charging processes will be necessary to minimize infrastructure costs. This work deals with a real-time mechanism for supporting the Power Quality (PQ) in electric distribution grids in terms of congestion and voltage management. In the paper, we propose a distributed smart charging approach that considers real-time conditions of the distribution grid provided by an event-driven architecture that collects data from different points in the grid. Our approach adopts the traffic light model, which allows smooth changing of the charging power to avoid drastic changes of the grid state. In order to be ready for real-world application, the algorithm is validated by a series of experiments on two setups: Pure software (co-)simulation and Power Hardware In the Loop (PHIL) where physical charging stations and electric cars are controlled in a laboratory setup.
机译：移动交通的电气化面临着诸多挑战，例如缺乏有关电动汽车何时，何地，持续多长时间以及如何快速充电的信息。为了跟上充电过程不断增长的电力需求，除了更好的预测之外，还需要对充电过程进行主动控制以最小化基础设施成本。这项工作涉及一种实时机制，以在拥塞和电压管理方面支持配电网中的电能质量（PQ）。在本文中，我们提出了一种分布式智能计费方法，该方法考虑了事件驱动的架构所提供的配电网格的实时状况，该事件驱动的架构从网格中的不同点收集数据。我们的方法采用了交通信号灯模型，该模型可以平稳地改变充电功率，从而避免电网状态的急剧变化。为了准备好在现实世界中的应用，该算法在以下两种设置上通过一系列实验进行了验证：纯软件（协同）仿真和回路中的电源硬件（PHIL），可在其中控制物理充电站和电动汽车实验室设置。

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