摘要
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。
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 influence 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 significance in practical application.
出处
《物联网技术》
2013年第11期32-33,36,共3页
Internet of things technologies
关键词
光伏
组件温度
功率预测
气象监测要素
photovoltaic
module temperature
power forecasting
meteorological monitoring element
