Calculating the shading reduction coefficient of photovoltaic system efficiency using the anisotropic sky scattering model
2022-09-06
国核电力规划设计研究院 胡彬等:基于各向异性天空散射模型的光伏系统效率前排阴影遮挡损失系数计算方法
摘要
前排阴影遮挡损失修正系数是计算光伏电站系统效率的关键参数之一。本文基于Hay各向异性天空散射模型对前排阴影遮挡期间的光伏阵列表面太阳辐射强度变化规律进行了模拟,结合光伏电池片V-I特性建立了光伏阵列前排阴影遮挡工作模型。提出一种基于Hay各向异性天空散射模型和光伏电池片组串单元划分方式的光伏阵列前排阴影遮挡损失修正系数计算方法。该算法能够准确评估光伏阵列布置方式、接线方式、阵列间距、光伏组件规格、太阳辐射等因素对光伏电站系统效率的具体影响程度。为优化光伏系统方案,降低光伏电站损耗,提高系统效率提供了依据。
Calculating the shading reduction coefficient of photovoltaic system efficiency using the anisotropic sky scattering model
基于各向异性天空散射模型的光伏系统效率前排阴影遮挡损失系数计算方法
Bin Hu1, Jiawei Wu2, Peng Li2, Wei Sun2, Jinyu Xiao2
(1.State Nuclear Electric Power Planning Design & Research Institute Co., Ltd., No.6 Dijin Road, Beijing 100095, P. R. China
2.Global Energy Interconnection Group Co., Ltd., No.8 Xuanwumen Inner Street, Xicheng District, Beijing 100000, P. R. China )
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Abstract
Keywords
Shading reduction coefficient, System efficiency, Hay anisotropic sky scattering model, PV cells string unit.

Fig.1 Equivalent circuit of a PV module

Fig.2 Equivalent circuit of a PV cell

Fig.3 PV array division of lateral arrangement and single row wiring mode

Fig.4 PV array division of vertical arrangement and ring wiring

Fig.5 Surface area division of PV array with horizontal arrangement and single row wiring mode

Fig.6 Surface area division of PV array with vertical arrangement and ring wiring mode

Fig.7 Correction coefficient of front row shadow occlusion loss and solar radiation of project A

Fig.8 Correction coefficient of front row shadow occlusion loss and solar radiation of project B
本文引文信息
Hu B, Wu JW, Li P, et al. (2022) Calculating the shading reduction coefficient of photovoltaic system efficiency using the anisotropic sky scattering model. Global Energy Interconnection, 5(4): 375-384
胡彬,吴佳玮,李鹏,等 (2022) 基于各向异性天空散射模型的光伏系统效率前排阴影遮挡损失系数计算方法. 全球能源互联网(英文), 5(4): 375-384
Biographies

Bin Hu
Bin Hu received bachelor degree at North China Electrical Power University, Beijing, 2004. He received master degree at North China Electrical Power University, Beijing, 2007. He is working in State Nuclear Electric Power Planning Design & Research Institute Co., Ltd., Beijing. His research interests include planning, design, research, operation analysis and evaluation of renewable energy power stations.


Jiawei Wu
Jiawei Wu (Corresponding author), received Bachelor and PhD degrees in electrical engineering at Xi’an Jiaotong University, Xi’an, 2012 and 2018 year. She is working GEIDCO, Beijing, China. Her research interests include renewable energy resource assessment and renewable energy power generation technologies.


Peng Li
Peng Li received Master degrees in electrical engineering at Beihang University, Beijing, 2007 year. He is working GEIDCO, Beijing, China. His research interests include is power electronics, renewable energy resource assessment, power system planning and reactive power compensation.


Wei Sun
Wei Sun received Bachelor and PhD degrees in electrical engineering at China University of Mining and Technology, Xuzhou, 2004 and 2009 year. She is working at GEIDCO, Beijing, China. Her research interests include wind turbine modelling, renewable energy gird integration analysis, control and modeling of DC grid, economic and technical forecasting of renewable energy power generation technologies, renewable energy resource assessment.


Jinyu Xiao
Jinyu Xiao received Bachelor and PhD degrees in electrical engineering at Tsinghua University, Beijing, 1999 and 2005 year. He is working GEIDCO, Beijing, China. His research interests include electrical system planning and novel energy technologies.
编辑:王彦博
审核:王 伟
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