Real-world application of sustainable mobility in urban micro smart grids

Mariem Khemir, Mauricio Rojas, Raisa Popova, T. Feizi, H. Q. Nguyen, Jan F. Heinekamp, K. Strunz
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引用次数: 2

Abstract

The development of micro grids is attracting increased research interest as they could assure high energy reliability, control loads in future electric power distribution systems, and foster the integration of renewable and decentralized energy resources. The impact of micro grid concepts is expanding through the increase of renewable generation systems market share and the growing limitations of the power system by higher adoption of electric vehicles. A significant challenge with regards to micro grids is the development and implementation of control algorithms to ensure efficient and reliable operation. This paper presents and investigates operational strategies, namely electric vehicle load management and self-consumption, of micro grids for real-world site applications on the European Energy Forum (EUREF) Campus in Berlin, Germany. These strategies meet requirements for economical and research operation, based on the current legal conditions for renewable energy resources in Germany. A rule-based control algorithm for self-consumption of local charging stations for electric vehicles is developed and implemented in a supervisory control and data acquisition (SCADA) environment. Measurements are performed with high resolution and analyzes carried out for the collected data sets of the years 2017-2019. A discussion shows the potential of the proposed control algorithm with regards to self-consumption. The influence of operating characteristics and restrictions in real-world applications are investigated and compared to ideal operating conditions.
可持续交通在城市微智能电网中的实际应用
微电网的发展正吸引着越来越多的研究兴趣,因为它可以保证高能源可靠性,控制未来电力分配系统的负荷,并促进可再生能源和分散能源的整合。随着可再生能源发电系统市场份额的增加,以及电力系统越来越多地采用电动汽车,微电网概念的影响正在扩大。关于微电网的一个重大挑战是控制算法的开发和实施,以确保高效和可靠的运行。本文介绍并研究了德国柏林欧洲能源论坛(EUREF)园区微电网的实际现场应用的运营策略,即电动汽车负载管理和自我消耗。基于目前德国可再生能源的法律条件,这些策略符合经济性和研究性操作的要求。提出了一种基于规则的电动汽车本地充电站自耗控制算法,并在SCADA (supervisory control and data acquisition)环境下实现。以高分辨率进行测量,并对2017-2019年收集的数据集进行分析。讨论显示了所提出的控制算法在自我消耗方面的潜力。研究了实际应用中工作特性和限制的影响,并与理想工作条件进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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