Photovoltaic cell working temperature and power generation power joint estimation method
A photovoltaic cell and operating temperature technology, applied in neural learning methods, calculations, computer components, etc., can solve problems such as power prediction error, affecting photovoltaic cell power generation, system operation safety and reliability threats, etc., to improve prediction. Accuracy, the effect of ensuring long-term stability
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[0079] This embodiment is based on a certain SM46 photovoltaic cell experimental device. The parameter information of the battery under standard test conditions and nominal operating temperature conditions is shown in Table 1. The I-V curve and P-V curve of the standard test conditions are as follows Figure 4 shown. Therefore, in the photovoltaic cell operating temperature prediction model based on the artificial neural network model, G NOCT Take 800W / m 2 ,T a,NOCT Take 20℃, T NOCT Take 45°C. based on a single diode R p Model of photovoltaic cell power prediction model, G stc Take 1000W / m 2 ,T stc Take 25°C.
[0080] Table 1 Parameter information of SM46 standard test conditions
[0081] Maximum rated power / W 46 Operating current at the maximum power point / A 3.15 Operating voltage at the maximum power point / V 14.6 Short circuit current / A 3.35 Open circuit voltage / V 18.0 Nominal working temperature / ℃ 45
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