对地面光伏电站的2个采取不同清洁策略方阵的运行数据和辐照数据分成上午数据和下午数据,分别进行处理和分析。介绍去除数据集中的异常数据和不可信数据的预处理的方法。之后,对比组串的发电数据,发现了2个方阵中发电异常的2个组串。为了研究清洁增益的效果,计算不同太阳辐照度下2个方阵的功率比值。发现对于不同的辐照度,清洁增益的效果有较大差别。在该文实验条件下,在200 W/m2以上的辐照度下,上午的清洁增益约3.3%±2.1%,下午为3.6%±2.0%。
Abstract
The processing methods of the running data are the base of intelligent maintenance for one photovoltaic plant. Data from two array in the same terrain photovoltaic plant is spitted to two parts by before and after the noon. The pre-processed steps are introduced to eliminate the abnormal data. By analyzing the cleaned data, two PV module strings with lower power output caused by partly shading is found. In order to study the effect of cleaning gain, the power ratios of the two arrays under different solar radiation are calculated. It is found that the effect of cleaning gain has great difference for different radiation. Under the experimental conditions in this paper, the cleaning gain is about 3.3%±2.1% in the morning and 3.6%±2.0% in the afternoon at solar radiation above 200 W/m2.
关键词
光伏电站 /
数据分析 /
性能评估 /
发电损失 /
灰尘
Key words
photovoltaic station /
data process /
performance evaluate /
solar energy /
power generation loss /
dusts
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