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Comparison of Charging Strategies of Electric Vehicles Using Local Power Production to Minimize Carbon Emissions

机译:使用本地电力生产以最小化碳排放的电动汽车的充电策略比较

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The German WINNER research project aims at controlling and optimizing local power production, distribution, and consumption in residential areas. Beside residents, who consume electrical energy uncontrollable, there are electric vehicles of a car sharing provider as well. Their charging process can be monitored and controlled. Furthermore, we have a mid-size photovoltaic (PV) power plant on the roof of the residential building. Within this local area, we measure energy consumptions and productions. This paper covers subsequent investigations on the possibility of using different charging strategies of electric vehicles from the view of the grid side. Thus, we have to measure energy consumption and production, calculate the surplus and store this excessive energy in the vehicle accumulator. We aim to be neutral against the local energy grid or at least not unhelpful, i. e., we have to avoid power withdrawal if possible. In this paper, we abstract from real use case with electric vehicles. We are using a simple battery model and make some assumptions on the energy consumption and PV production referring to our measurements. Afterwards, a recurrent approach is used to schedule charging and discharging processes along the day. We consider various charging aims over time, i. e., we vary the charging states and times, at which the aimed battery charging state should be reached. Finally, we use our system to answer the question, if our approach to lower the grid load was worth it. For low PV power days and cloudy days, we found usable strategies. Referring to PV peak days we had to do more intensive investigations.
机译:德国WINNER研究项目旨在控制和优化住宅区的本地电力生产,分配和消耗。除了消耗无法控制的电能的居民外,还有汽车共享提供商的电动汽车。他们的充电过程可以被监控。此外,我们在住宅楼的屋顶上有一个中型光伏(PV)发电厂。在该区域内,我们测量能源消耗和生产。本文从电网侧的角度涵盖了有关使用电动汽车不同充电策略的可能性的后续研究。因此,我们必须测量能耗和生产量,计算出剩余并将多余的能量存储在汽车蓄电池中。我们的目标是对当地的能源电网保持中立或至少没有帮助,即。 e。如果可能,我们必须避免断电。在本文中,我们从电动汽车的实际用例中抽象出来。我们使用的是简单的电池模型,并根据测量结果对能耗和光伏发电量做出一些假设。之后,使用循环方法来安排一天中的充电和放电过程。我们会随着时间的推移考虑各种收费目标,即例如,我们更改充电状态和时间,应达到目标电池充电状态。最后,如果我们降低电网负荷的方法值得这样做,那么我们使用我们的系统来回答这个问题。对于低光伏发电日和阴天,我们找到了可用的策略。关于PV高峰期,我们必须进行更深入的调查。

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