Optimization of photovoltaic module electrical characteristics using genetic algorithm
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Date
2010-10-16Author
Muhammad Irwanto
Ismail, Daut, Prof. Dr.
Merdang, Sembiring, Dr. Ir.
Rosnazri, Ali
Dina Maizana, Maiz Ahmad
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Show full item recordAbstract
This paper presents the optimization of PV module
electrical characteristics using genetic algorithm (GA).
A mathematical modeling was used to characterize the
electrical characteristics of PV module. A 180 W, 30
V, Sharp mono-crystal silicon PV module (NUS0E3E)
was used in this paper. This PV module consists of 48
solar cells configured in series strings. Under constant
temperature and different solar irradiance were tested
to the PV module using GA, its electrical
characteristics shown in curves and compared to the
data sheet and a reference and also 3-dimensional
diagram as function of both solar irradiance and
temperature shown and discussed. The result shows
that the comparison of simulation results using GA
with data sheet of current-voltage and power-voltage
curve illustrates a good correlation, if the temperature
constant and solar irradiance increase will cause the
short circuit current, open circuit voltage, maximum
power and efficiency increase.