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Assessing the influence of the temporal resolution of electrical load and PV generation profiles on self-consumption and sizing of PV-battery systems

机译:评估电力负载和光伏发电曲线的时间分辨率对光伏电池系统自耗和尺寸的影响

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摘要

The interest in self-consumption of electricity generated by rooftop photovoltaic systems has grown in recent years, fueled by decreasing levelized costs of electricity and feed-in tariffs as well as increasing end customer electricity prices in the residential sector. This also fostered research on grid-connected PV-battery storage systems, which are a promising technology to increase self-consumption. In this paper a mixed-integer linear optimization model of a PV-battery system that minimizes the total discounted operating and investment costs is developed. The model is employed to study the effect of the temporal resolution of electrical load and PV generation profiles on the rate of self-consumption and the optimal sizing of PV and PV-battery systems. In contrast to previous studies high resolution (10 s) measured input data for both PV generation and electrical load profiles is used for the analysis. The data was obtained by smart meter measurements in 25 different households in Germany. It is shown that the temporal resolution of load profiles is more critical for the accuracy of the determination of self-consumption rates than the resolution of the PV generation. For PV-systems without additional storage accurate results can be obtained by using 15 min solar irradiation data. The required accuracy for the electrical load profiles depends strongly on the load profile characteristics. While good results can be obtained with 60 s for all electrical load profiles, 15 min data can still be sufficient for load profiles that do not exhibit most of their electricity consumption at power levels above 2 kW. For PV-battery systems the influence of the temporal resolution on the rate of self-consumption becomes less distinct. Depending on the load profile, temporal resolutions between 5 min and 60 min yield good results. For optimal sizing of the PV power and the storage capacity a resolution of 60 min is found to be sufficient. For the sizing of the battery inverter power of the storage system, a finer temporal resolution of at least 300 s is necessary. (C) 2016 Elsevier Ltd. All rights reserved.
机译:近年来,人们对屋顶光伏系统产生的自耗电的兴趣有所增长,这是由于降低了平准化的电费和上网电价,以及提高了居民部门的最终用户电价。这也促进了对并网光伏电池存储系统的研究,这是增加自耗的有前途的技术。在本文中,开发了一种混合整数线性优化的光伏电池系统模型,该模型使总的贴现运营和投资成本最小化。该模型用于研究电力负载和PV发电曲线的时间分辨率对自耗率以及PV和PV电池系统的最佳尺寸的影响。与以前的研究相比,分析使用了针对光伏发电和电力负荷曲线的高分辨率(10 s)测量输入数据。数据是通过德国25个不同家庭的智能电表测量获得的。结果表明,负荷曲线的时间分辨率对于确定自耗率的准确性比PV发电的分辨率更为关键。对于没有额外存储的光伏系统,可以使用15分钟的太阳辐射数据获得准确的结果。电气负载曲线的所需精度在很大程度上取决于负载曲线的特性。尽管在60 s内对于所有电气负载曲线都可以获得良好的结果,但是对于在2 kW以上的功率水平下没有表现出大部分用电量的负载曲线,15分钟的数据仍然足够。对于光伏电池系统,时间分辨率对自耗率的影响变得越来越不明显。根据负载曲线,在5分钟到60分钟之间的时间分辨率会产生良好的结果。为了使PV功率和存储容量达到最佳大小,发现60分钟的分辨率就足够了。为了确定存储系统的电池逆变器电源的大小,至少需要300 s的更精细的时间分辨率。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Applied Energy》 |2016年第1期|331-342|共12页
  • 作者单位

    Robert Bosch GmbH, Corp Sect Res & Adv Engn, Robert Bosch Campus 1, D-71272 Renningen, Germany;

    Fraunhofer Ctr Int Management & Knowledge Econ, Sustainabil Management & Infrastruct Econ, Neumarkt 9-19, D-04109 Leipzig, Germany;

    Robert Bosch GmbH, Corp Sect Res & Adv Engn, Robert Bosch Campus 1, D-71272 Renningen, Germany;

    Fraunhofer Ctr Int Management & Knowledge Econ, Sustainabil Management & Infrastruct Econ, Neumarkt 9-19, D-04109 Leipzig, Germany|Univ Leipzig, Inst Infrastruct & Resources Management, Grimma Str 12, D-04109 Leipzig, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Photovoltaics (PV); PV-battery system; Home battery storage; Electrical household load profile; Optimal storage sizing;

    机译:光伏(PV);光伏电池系统;家用电池存储;电动家用负载曲线;最佳存储大小;

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