当前位置: X-MOL 学术Prog. Photovoltaics › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A methodology to analyze photovoltaic tracker uptime
Progress in Photovoltaics ( IF 6.7 ) Pub Date : 2018-04-17 , DOI: 10.1002/pip.3002
Dan Ruth 1 , Matthew Muller 1
Affiliation  

A metric is developed to analyze the daily performance of single‐axis photovoltaic (PV) trackers. The metric relies on comparing correlations between the daily time series of the PV power output and an array of simulated plane‐of‐array irradiances for the given day. Mathematical thresholds and a logic sequence are presented, so the daily tracking metric can be applied in an automated fashion on large‐scale PV systems. The results of applying the metric are visually examined against the time series of the power output data for a large number of days and for various systems. The visual inspection results suggest that overall, the algorithm is accurate in identifying stuck or functioning trackers on clear‐sky days. Visual inspection also shows that there are days that are not classified by the metric where the power output data may be sufficient to identify a stuck tracker. Based on the daily tracking metric, uptime results are calculated for 83 different inverters at 34 PV sites. The mean tracker uptime is calculated at 99% based on 2 different calculation methods. The daily tracking metric clearly has limitations, but as there is no existing metrics in the literature, it provides a valuable tool for flagging stuck trackers.

中文翻译:

分析光伏跟踪器正常运行时间的方法

开发了一种度量标准来分析单轴光伏(PV)跟踪器的日常性能。该度量标准依赖于比较光伏发电的每日时间序列与给定日期的一组模拟平面辐射强度之间的相关性。由于提供了数学阈值和逻辑序列,因此每日跟踪指标可以自动方式应用于大型PV系统。针对大量天数和各种系统,对功率输出数据的时间序列进行目测检查应用度量的结果。视觉检查结果表明,总体而言,该算法在晴天时可以准确地识别卡住的或正在运行的跟踪器。目视检查还显示,有些天未按度量标准分类,在这些天中,功率输出数据可能足以识别跟踪器卡住了。根据每日跟踪指标,计算了34个光伏站点中83个不同逆变器的正常运行时间结果。根据两种不同的计算方法,平均跟踪器正常运行时间为99%。每日跟踪指标显然有局限性,但是由于文献中没有现有的指标,因此它提供了一个有价值的工具,用于标记卡住的跟踪器。
更新日期:2018-04-17
down
wechat
bug