Detecting clear-sky periods from photovoltaic power measurements

IF 2.3 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Meteorological Applications Pub Date : 2024-05-05 DOI:10.1002/met.2201
William Wandji Nyamsi, Anders Lindfors
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Abstract

A method for detecting clear-sky periods from photovoltaic (PV) power measurements is presented and validated. It uses five tests dealing with parameters characterizing the connections between the measured PV power and the corresponding clear-sky power. To estimate clear-sky PV power, a PV model has been designed using as inputs downwelling shortwave irradiance and its direct and diffuse components received at ground level under clear-sky conditions as well as reflectivity of the Earth's surface and extraterrestrial irradiance, altogether provided by the McClear service. In addition to McClear products, the PV model requires wind speed and temperature as inputs taken from ECMWF twentieth century reanalysis ERA5 products. The performance of the proposed method has been assessed and validated by visual inspection and compared to two well-known algorithms identifying clear-sky periods with broadband global and diffuse irradiance measurements on a horizontal surface. The assessment was carried out at two stations located in Finland offering collocated 1-min PV power and broadband irradiance measurements. Overall, total agreement ranges between 84% and 97% (depending on the season) in discriminating clear-sky and cloudy periods with respect to the two well-known algorithms serving as reference. The disagreement fluctuating between 6% and 15%, depending on the season, primarily occurs while the PV module temperature is adequately high and/or when the sun is close to the horizon with many more interactions between the radiation, the atmosphere and the ground surface.

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从光伏功率测量中检测晴空时段
本文提出并验证了一种从光伏(PV)功率测量中检测晴空时段的方法。该方法采用了五项测试,这些测试涉及光伏发电量测量值与相应晴空发电量之间关系的特征参数。为估算晴空光伏功率,设计了一个光伏模型,将晴空条件下地面接收到的下沉短波辐照度及其直接和漫射分量、地球表面反射率和地外辐照度作为输入,这些数据均由 McClear 服务提供。除 McClear 产品外,PV 模型还需要从 ECMWF 20 世纪再分析 ERA5 产品中输入风速和温度。建议方法的性能已通过目测进行了评估和验证,并与两个著名的算法进行了比较,这两个算法利用水平面上的宽带全球辐照度和漫射辐照度测量来识别晴空时段。评估是在芬兰的两个观测站进行的,这两个观测站提供同地 1 分钟光伏功率和宽带辐照度测量。总体而言,与作为参考的两种著名算法相比,在区分晴天和多云时段方面,总的一致性在 84% 到 97% 之间(取决于季节)。不一致性在 6% 到 15% 之间波动(取决于季节),主要发生在光伏组件温度足够高和/或太阳接近地平线时,辐射、大气和地表之间有更多的相互作用。
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来源期刊
Meteorological Applications
Meteorological Applications 地学-气象与大气科学
CiteScore
5.70
自引率
3.70%
发文量
62
审稿时长
>12 weeks
期刊介绍: The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.
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