A novel metric for quantifying solar irradiance stability: Mapping solar irradiance variability to photovoltaic power generation

被引:0
作者
Tian, Qun [1 ]
Li, Jinxiao [2 ]
Xie, Zhiang [3 ]
Li, Puxi [4 ]
Wang, Ya [5 ]
Chen, Dongwei [6 ]
Zheng, Yue [7 ]
机构
[1] GBA Acad Meteorol Res, Guangzhou Inst Trop & Marine Meteorol, Guangdong Prov Key Lab Reg Numer Weather Predict, China Meteorol Adm, Guangzhou 510641, Peoples R China
[2] Shanghai Invest Design & Res Inst Co Ltd, Shanghai 200434, Peoples R China
[3] Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen 518055, Peoples R China
[4] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, China Meteorol Adm, Beijing 100081, Peoples R China
[5] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geoph, Beijing 100029, Peoples R China
[6] Clemson Univ, Sch Math & Stat Sci, Clemson, SC 29634 USA
[7] ClusterTech Ltd, Hong Kong 999077, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金; 上海市科技启明星计划;
关键词
Photovoltaic; Solar irradiance; Solar instability index; Wasserstein distance; TEMPORAL VARIABILITY; CLASSIFICATION; SYSTEM;
D O I
10.1016/j.renene.2024.122035
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The daily stability of solar irradiance significantly influences photovoltaic (PV) power generation; however, existing metrics for assessing it normally fail to robustly correlate with daily PV output. To address this gap, we introduce anew metric, the solar instability index (SII), formulated by applying the Wasserstein distance to assess the deviation of intra-day solar irradiance pattern from the anticipated diurnal cycle. In our case station, SII closely correlates with atmospheric moisture and available solar energy, suggesting its strong association with synoptic weather events that lead to solar resource loss. We further scrutinize the efficacy of SII alongside two existing metrics through two case studies. The results demonstrate that SII excels in capturing low-frequency variations in solar irradiance without relying on arbitrarily assigned parameters, thereby outperforming the other two metrics in establishing a robust correlation with PV power output. As such, in scenarios involving site selection for PV power plant, SII stands as a valuable metric for assessing the potential stability of daily PV power generation.
引用
收藏
页数:8
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