为现有光伏系统选择电动汽车--波兰气候条件下的案例研究

A. Małek, Andrzej Marciniak, Grzegorz Bartnik
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引用次数: 0

摘要

文章介绍了为光伏系统选择电动汽车的算法。利用分布式光伏系统发电是整个欧洲非常明显的趋势。个人和机构业主都在寻找节省大量购电费用的机会。很多时候,他们建造的光伏发电系统大于当前的能源需求。作者提出了一个解决方案,以增加自用能源,而不是以不利的价格将其提供给电网。这种解决方案就是购买一辆电动汽车,用剩余的能源充电。研究为光伏系统选择车辆时,应首先精确了解当前电网的能源消耗情况、光伏系统的能源生产情况以及将多余能源输送给电网的情况。下一步是确定潜在电动汽车的特征。这些特征包括确定牵引电池的能量容量及其充电方法。最后是对所做选择进行分析确认。为此,我们使用 Metalog 分布系列来确定为电动汽车充电所需的每小时适当能量的生成概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The selection of an electric vehicle for the existing photovoltaic system - case study in Polish climatic conditions
The article presents an algorithm for selecting an electric vehicle for your photovoltaic system. Generating electricity by distributed photovoltaic systems is a very visible trend across Europe. Individual and institutional owners are looking for opportunities to save large amounts of money spent on the purchase of electricity. Many times they have built a photovoltaic system larger than their current energy needs. The author suggests a solution to increase the energy produced for own needs instead of giving it to the power grid at unfavorable prices. Such a solution is the purchase of an electric vehicle that will be charged with surplus energy. Research on the selection of a vehicle for a photovoltaic system should start with a precise profile of the current energy consumption from the power grid, energy production from the photovoltaic system and transferring its excess to the power grid. The next step is to characterize the potential electric vehicle. Such characteristics include determination of the energy capacity of the traction battery and the methods of its charging. The final stage is the analytical confirmation of the choice made. For this purpose, the Metalog family of distributions was used to determine the probability of generating the appropriate hourly amount of energy needed to charge an electric vehicle.
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