Open AccessSimple Computational Method of Predicting Electrical Characteristics in Solar Cells
Author(s) -
Jieming Ma,
Ka Lok Man,
T. O. Ting,
N. Zhang,
Eng Gee Lim,
Sheng-Uei Guan,
Prudence W. H. Wong,
Tomas Krilavičius,
D. Saulevicius,
ChiUn Lei
Publication year - 2014
Publication title -
elektronika ir elektrotechnika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.224
H-Index - 26
eISSN - 2029-5731
pISSN - 1392-1215
DOI - 10.5755/j01.eee.20.1.6165
Subject(s) - computation , photovoltaic system , simple (philosophy) , diode , nonlinear system , range (aeronautics) , computer science , exponential function , experimental data , algorithm , least squares function approximation , iterative method , mathematics , electronic engineering , engineering , electrical engineering , physics , mathematical analysis , statistics , aerospace engineering , estimator , philosophy , epistemology , quantum mechanics
A precise single-diode analytical model of Photovoltaic (PV) modules is generally nonlinear analytical equations with high computation complexity. This paper proposes a simple computational method for the PV model. Its exponential diode behaviour is simplified via Least Squares Approximation (LSA), which permits designers or engineers to predict the electrical characteristics of a PV module without using iterative numerical calculations. Based on experimental data, the methodology is validated by covering a wide range of operation conditions. Simulation and experimental results prove the effectiveness and accuracy of the proposed method.link_to_subscribed_fulltex
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