TITLE:
Fuzzy Estimation Analysis of Photovoltaic Model Parameters
AUTHORS:
Helal Al-Hamadi
KEYWORDS:
Photovoltaic Cell, Parameter Sensitivity, Fuzzy Logic, Diode Model, Modeling
JOURNAL NAME:
Journal of Power and Energy Engineering,
Vol.3 No.7,
July
17,
2015
ABSTRACT:
One of the challenges in
accurately estimating Photovoltaic (PV) cell electric performance is the
uncertainty of the model equivalent circuit parameters. The parameters
considered in the study are the series resistance, shunt resistance, photo
current, saturation current, and diode ideality factor. Parameter estimation
for the PV cell equivalent circuit model is challenging due to the implicit
transcendental relationship of the I-V characteristics of the cell. This paper
presents a fuzzy logic based study for estimating the uncertainty of the cell
parameters. The model parameters change with temperature and irradiance, are
the source of uncertainties. Mathematical programming is used to estimate the
fuzzy parameters. The approach is performed on practical data and the results
of the analysis provide the estimation of the PV cell parameters. Results of
this research yielding better estimated parameters compared with other methods
using the Absolute Mean Error (AME).