TITLE:
Optimal Extraction of Photovoltaic Model Parameters Using Gravitational Search Algorithm Approach
AUTHORS:
C. Saravanan, K. Srinivasan
KEYWORDS:
GSA, Photo Voltaic, Parameter Extraction, MATLAB/Simulink
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.11,
September
22,
2016
ABSTRACT: Extraction of accurate Photo Voltaic (PV) model
parameters is a challenging task for PV simulator developers. To mitigate this
challenging task a novel approach using Gravitational Search Algorithm (GSA)
for accurate extraction of PV model parameters is proposed in this paper. GSA
is a population based heuristic optimization method which depends on the law of
gravity and mass interactions. In this optimization method, the searcher agents
are collection of masses which interact with each other using laws of gravity
and motion of Newton. The developed PV model utilizes mathematical equations
and is described through an equivalent circuit model comprising of a current
source, a diode, a series resistor and a shunt resistor including the effect of
changes in solar irradiation and ambient temperature. The optimal values of
photo-current, diode ideality factor, series resistance and shunt resistance of
the developed PV model are obtained by using GSA. The simulations of the
characteristic curves of PV modules (SM55, ST36 and ST40) are carried out using MATLAB/Simulink environment.
Results obtained using GSA are compared with Differential Evolution (DE), which
shows that GSA based parameters are better optimal when compared to DE.