CAJ | 학술논문

组件温度是影响太阳能电池组件转换效率的一个重要因素，对组件温度的准确预测，有助于提高光伏发电功率预测的精度。文中提出了一种光伏电池组件温度预测方法。该方法考虑了影响光伏电池组件温度的主要因素，通过选择适当的样本建立统计模型。算例结果表明，该预测模型能够较好地对光伏电池组件温度进行预测，具有潜在的应用价值。
조건온도시영향태양능전지조건전환효솔적일개중요인소，대조건온도적준학예측，유조우제고광복발전공솔예측적정도。문중제출료일충광복전지조건온도예측방법。해방법고필료영향광복전지조건온도적주요인소，통과선택괄당적양본건립통계모형。산례결과표명，해예측모형능구교호지대광복전지조건온도진행예측，구유잠재적응용개치。
As module temperature plays an important role in the conversion efficiency of photovoltaic, PV, cell module, an accurate prediction will be very helpful in improving PV power forecasting. In this article, a statistical approach is opposed to generate temperature forecasting of PV cell module considering its main inlfuence factors. In the case study, this approach continuously provides reasonable temperature forecasting of the PV cell module. It is indicated that this approach is of signiifcance in practical application.