Parameter Extraction of PV Solar Cell: A Comparative Assessment Using Newton Raphson, Simulated Annealing and Particle Swarm Optimization
Keywords:
PV Cell, Simulated Annealing, Newton Raphson, Particle Swarm Optimization, Single-Diode ModelAbstract
Proper modelling of PV cell is important to calculate its unknown parameters close to the accurate values, to
attain the I-V characteristic curve close to the hardware model. This can help for simulation, computing
efficiency, maximum power point tracing design, optimization and regulation of PV system. This paper
estimates single diode PV model parameters such as photocurrent, the saturation current, the series resistance,
the shunt resistance and the ideality factor. The estimation is done by three different optimization methods for
single-diode model in an attempt to judge which method is surpassing in terms of convergence time and relative
error. The first method Newton-Raphson is a numerical method based on gradient descent approach, while the
second and third methods are evolutionary methods, simulated annealing and particle swarm optimization
respectively. It was observed that particle swarm optimization algorithm is best among the methods and
simulated annealing showed the worse performance.
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