文档介绍：第 卷 第 期 福州大学学报 自然科学版
49 3 ( ) HEN Zhicong， ZHENG Qiao， WU Lijun， CHENG Shuying， LIN Peijie
(Institute of Micro-Nano Devices and Solar Cells， College of Physics and Information Engineering，
Fuzhou University， Fuzhou， Fujian 350108， China)
Abstract
: In order to improve the accuracy and reliability of the photovoltaic module models， this
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paper proposes a new modeling method based on the multilayer perceptron and － characteristic
curves dataset measured under different working conditions. Firstly， bilinear interpolation method is
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used for resampling the measured － curve to improve the uniformity of the distribution of data points
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on the － curve， and then the dataset was down-sampled by temperature-irradiance grid sampling
method to reduce the data redundancy. Secondly， a new photovoltaic module model based on multilay-
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er perceptron neural network is proposed， and based on the pre-processed － curve data set， the
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Adam algorithm is used to t