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A modified multidimension diode model for PV parameters identification using guaranteed convergence particle swarm optimization algorithm

Nunes, H.G.G. ; Bento, P.M.R. ; Pombo, J. ; Mariano, S.J.P.S. ; Calado, M.R.A.

A modified multidimension diode model for PV parameters identification using guaranteed convergence particle swarm optimization algorithm, Proc IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) EEEIC / I&CPS Europe, Palermo, Italy, Vol. , pp. - , June, 2018.

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Abstract
This paper proposes a modified multidimension diode model to identify the photovoltaic (PV) parameters using the guaranteed convergence particle swarm optimization algorithm. The main advantage of this model is that it allows adjusting the number of diodes of the PV model by finding the configuration that most accurately characterizes a PV device under a certain operating condition and of different PV technologies. The proposed model was validated from experimental data measured at different irradiance and temperature levels, as well as for six different PV technologies. The results show that the model is able to accurately characterize the behaviour of PV devices.