全工况下光伏组件输出特性的预测建模与研究

肖文波; 胡方雨; 戴锦

doi:doi:10.3788/gzxb20144311.1125002

光子学报, 2014, 43 (11): 1125002, 网络出版: 2014-12-08

全工况下光伏组件输出特性的预测建模与研究

Establishment and Research of a Photovoltaic Module Performance Prediction Model under Different Operating Conditions

论文大纲

肖文波 ^*胡方雨戴锦

作者单位

南昌航空大学无损检测技术教育部重点实验室, 南昌 330063

光伏组件输出特性仿真预测模型光强与温度 Photovoltaic module Output performance Simulation Prediction model Light intensity and temperature

摘要

在光生电流远大于二极管反向饱和电流, 并联电阻为无穷大且二极管反向饱和电流与光强无关的假设条件下,理论上推导出全工况光伏组件输出特性预测模型,并采用Matlab/Simulink搭建了仿真系统.对单(多)晶硅光伏组件的实验与预测对比,表明模型可以准确预测组件在任意光强与温度下的输出特性,预测误差在6%以下.研究结果发现,相对于光强变化,温度变化对组件输出特性预测影响更大; 多晶硅组件预测难于单晶硅组件.对实际环境中单位光强与单位温度实时改变时的预测表明,组件输出主要由所受辐照总光强决定,而不是器件温度; 且需要根据外界情况调整组件的输出电压,以实现最大功率输出.

Abstract

Assuming that the photocurrent is much larger than the diode reverse saturation current,shunt resistance is infinite and diode reverse saturation current is independent of light intensity,a performance prediction model of photovoltaic module under different operating conditions was proposed and a simulation system was built by using Matlab/Simulink programs.Through the comparison between computer simulations and experimental data for mono/poly crystalline silicon photovoltaic modules,it showed that the proposed model can accurately predict the photovoltaic modules output characteristics at different light intensities and temperatures,and the relative prediction error precisions were all below 6%.The results also reveal that temperature change has a greater impact on modules performance prediction than the light intensity,and it is harder to predict module performance of polycrystalline silicon than that of mono crystalline silicon.Moreover,the prediction results of photovoltaic modules performance in natural environment showed that the output characteristics of the modules are mainly determined by light intensity rather than by temperature.it is found that the output voltage of the modules should be varied when conditions of light intensities and temperatures change,in order to achieve the maximum output power.

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肖文波, 胡方雨, 戴锦. 全工况下光伏组件输出特性的预测建模与研究[J]. 光子学报, 2014, 43(11): 1125002. XIAO Wen-bo, HU Fang-yu, DAI jin. Establishment and Research of a Photovoltaic Module Performance Prediction Model under Different Operating Conditions[J]. ACTA PHOTONICA SINICA, 2014, 43(11): 1125002.

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