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New PV Performance Loss Methodology Applying a Self-Regulated Multistep Algorithm
IEEE Journal of Photovoltaics ( IF 3 ) Pub Date : 2021-05-25 , DOI: 10.1109/jphotov.2021.3078075
Sascha Lindig , Atse Louwen , David Moser , Marko Topic

Analyses of performance loss rates in photovoltaic (PV) systems are not yet standardized, and are typically carried out by a linear regression of the evolution of a certain performance metric (e.g., performance ratio, yield, etc.) over time. In this article, we propose a novel methodology of advanced PV system performance loss rate modeling applying a self-regulated multistep algorithm. The developed algorithm automatically detects the number and positions of breakpoints in nonlinear performance time series and divides the performance trend into an adequate number of linear segments. Instead of calculating one linear performance loss rate, given in percentage per year, as is common practice, multiple linear performance loss values are determined, depending on the trend of the time series and subsequently the number of breakpoints. The algorithm is fully automated. We have applied our methodology on data of an experimental PV installation in Bolzano/Italy, which consists of 26 different PV systems. The overall linear performance loss rate of the facility's crystalline silicon systems is between $-$ 0.5 and $-$ 1.3%/year, whereas the thin-film PV systems experience values between $-$ 0.6 and $-$ 2.4%/year. Based on our results, the algorithm appears to be stable and accurate. The methodology is to be used as a fast and automated check of PV systems in operation to detect anomalies affecting performance (in an early stage). By building up a large database of detected issues in the field this algorithm will enable us to better understand the performance evolution of different PV system types in varying climates.

中文翻译:

应用自调节多步算法的新 PV 性能损失方法

光伏 (PV) 系统中性能损失率的分析尚未标准化,通常通过特定性能指标(例如,性能比、产量等)随时间演变的线性回归来进行。在本文中,我们提出了一种应用自调节多步算法的先进光伏系统性能损失率建模的新方法。开发的算法自动检测非线性性能时间序列中断点的数量和位置,并将性能趋势划分为足够数量的线性段。不是像通常的做法那样计算一个线性性能损失率,以每年的百分比给出,而是确定多个线性性能损失值,这取决于时间序列的趋势以及随后的断点数量。该算法是完全自动化的。我们已将我们的方法应用于意大利博尔扎诺的实验光伏装置的数据,该装置由 26 个不同的光伏系统组成。该设施的晶体硅系统的整体线性性能损失率介于$-$ 0.5 和 $-$ 1.3%/年,而薄膜光伏系统的经验值介于 $-$ 0.6 和 $-$ 2.4%/年。根据我们的结果,该算法似乎稳定且准确。该方法将用作对运行中的光伏系统的快速自动检查,以检测影响性能的异常(在早期阶段)。通过建立现场检测到的问题的大型数据库,该算法将使我们能够更好地了解不同光伏系统类型在不同气候下的性能演变。
更新日期:2021-06-22
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