One Year Submillisecond Fast Solar Database: Collection, Investigation, and Application
One Year Submillisecond Fast Solar Database: Collection, Investigation, and Application
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一年亚毫秒快太阳数据库：收集、调查和应用
DOI：
10.1109/ecce.2019.8913161
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
P. Krein
中科院分区：
文献类型：
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作者：
Yue Cao;J. A. Magerko;R. Serna;Shibin Qin;R. Pilawa;P. Krein
大数据正在推动未来的可再生能源研究，尤其是对电力电子产品的快速动态控制具有重要意义。本文讨论了屋顶全年5 kHz太阳辐射数据的收集。该数据库包括开路电压、短路电流和最大功率信息。数据减少包括重新映射丢失的间隔，纠正不同步的计量，以及将18个月以上的原始数据正规化到一致的全年数据库。结果以全抽样率提供。数据分析表明，在不损失有关变异性的有用信息的情况下，可以采用多少下采样。还提供了下采样的数据库。考虑到以前的工作通常将采样率限制在1赫兹或在短间隔内快速采样，这里提供的数据库支持对光伏能量变异性进行更全面的检查。
Big data is driving future renewable energy research and, in particular, has implications for fast dynamic control of power electronics. This paper discusses the collection of a full year of rooftop 5 kHz solar data. The database includes open-circuit voltage, short-circuit current, and maximum power information. Data reduction involved remapping of missing intervals, correction of unsynchronized metering, and regularization to go from more than eighteen months of raw data to a consistent full-year database. The results are made available at the full sampling rate. Data analysis shows how much downsampling can be employed without loss of useful information about variability. The downsampled databases are also made available. Given prior work that typically limits sampling rates to 1 Hz or takes fast samples over short intervals, the databases provided here support much more comprehensive examination of photovoltaic energy variability.