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Parameter Estimation of Solar Cells and MPP Prediction Using a NN-Emulator  

권봉재 (한국해양대학교 대학원 제어계측공학과)
김종하 (한국해양대학교 IT 공학부)
진강규 (한국해양대학교 IT공학부)
Abstract
In this paper, a scheme for estimating the parameters of solar cells and a NN-based emulator for predicting the maximum power point are presented. The diode model with series and shunt resistors is used to estimate parameters highly affecting its V-I characteristic curve and both a real-coded genetic algorithm and the model adjustment technique are employed. For implementing the emulator, a multi-layered neural network incorporating with the BP algorithm is used. A set of simulation works using both field data and generated data are carried out to demonstrate the effectiveness of the proposed method.
Keywords
Solar Cell; Parameter Estimation; RCGA; MPP; NN-based Emulator;
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