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Analysis of the uncertainty in the estimates of regional PV power generation evaluated with the upscaling method

机译:升级法评估区域光伏发电估算中的不确定性

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摘要

The estimation of the regional photovoltaic (PV) power generation is an important step prior to the forecast of the PV power generation and its integration into the energy supply system. The large majority of PV plants not being measured in Germany, the total PV power generated in a region is commonly estimated by upscaling the power production of a set of reference PV plants to the entireness of the plants installed in the considered area. A given uncertainty can be expected in the estimation of the power generation of a PV plant with the upscaling method when the reference plants used have different configurations or weather conditions. To gain better insight into the performance of the upscaling method, its error has been analysed using power measurements of a set of 366 PV plants. The analysis allows an understanding of the mechanisms underlying the uncertainty of the upscaling method and quantifies its error for the test study considered. In the case study analysed, it could be shown that the quarter hourly RMSE1 value decreases with an increasing number of reference plants and a decreasing number of un-metered plants. It could also be shown that even for a large number of reference plants, a variation of the RMSE between 0.01 and 0.025 kW/kW(p) can be observed, depending on the choice of the reference plants. It is shown that the average distance between a reference and unknown plant constitutes a good indicator of the performance of a set of reference plants, but that the match between the characteristics of the reference and unknown plant also plays an important role, which could not be quantified with the available dataset. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在预测光伏发电及其集成到能源供应系统之前,对区域光伏发电的估算是重要的一步。绝大多数未在德国进行测量的光伏电站,通常通过将一组参考光伏电站的发电量提升至考虑区域内安装的电站的整体规模来估算一个地区产生的总光伏发电量。当使用的参考工厂具有不同的配置或天气条件时,在使用升尺度方法估算光伏电站的发电量时,可以预期给定的不确定性。为了更好地了解升级方法的性能,已使用一组366座光伏电站的功率测量结果分析了其误差。通过分析,可以了解升级方法不确定性的潜在机制,并为所考虑的测试研究量化其误差。在分析的案例研究中,可以表明,四分之一小时RMSE1值随参考植物数量的增加和未计量植物数量的减少而降低。还可以表明,即使对于大量参考工厂,根据参考工厂的选择,也可以观察到RMSE在0.01和0.025 kW / kW(p)之间变化。结果表明,参照植物和未知植物之间的平均距离是一组参照植物性能的良好指标,但是参照植物和未知植物的特征之间的匹配也起着重要作用,这不可能用可用数据集量化。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Solar Energy》 |2016年第10期|536-550|共15页
  • 作者单位

    Fraunhofer Inst Wind Energy & Energy Syst Technol, Koenigstor 59, D-34119 Kassel, Germany;

    Fraunhofer Inst Wind Energy & Energy Syst Technol, Koenigstor 59, D-34119 Kassel, Germany;

    Fraunhofer Inst Wind Energy & Energy Syst Technol, Koenigstor 59, D-34119 Kassel, Germany|Univ Kassel, Wilhelmshoher Allee 71-73, D-34121 Kassel, Germany;

    LEW Verteilnetz GmbH, Schaezlerstr 3, D-86150 Augsburg, Germany;

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

    Upscaling method; Regional PV power;

    机译:升级方法;区域PV功率;

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