Abstract
The current-voltage characteristics of photovoltaic module are non-linear, multivariable and multi-modal and difficult to optimize the electrical intrinsic parameters. The conventional methods are incapable to optimize the parameters of photovoltaic module with high accuracy. Recently, the bio-inspired algorithm such as firefly algorithm has attracted the intention to optimize the non-linear and complex systems, based on the flashing patterns and behavior of firefly's swarm. Further, the firefly algorithm is nature-inspired stochastic optimization algorithm is among the most powerful algorithms. Moreover, the firefly algorithm is proposed in this paper to extract the electrical intrinsic parameters of photovoltaic module (Photowatt-PWP 201) in which 36 polycrystalline silicon cells are connected in series, at 45°C and 1000W/m2 from experimental current-voltage. The current predicted values with the photovoltaic module obtained analytical model are in good agreement with the experimental values used for the photovoltaic module parameters estimation.
Published Version
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