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Glowworm Swarm Optimization for Photovoltaic Model Identification

Nunes, H.G.G. ; Pombo, J. ; Fermeiro, J.B.L. ; Mariano, S.J.P.S. ; Calado, M.R.A.

Glowworm Swarm Optimization for Photovoltaic Model Identification, Proc IEEE International Young Engineers Forum on Electrical and Computer Engineering YEF-ECE, Costa de Caparica, Portugal, Vol. , pp. 59 - 64, May, 2017.

Digital Object Identifier: 10.1109/YEF-ECE.2017.7935641

This paper presents a new algorithm for finding the parameters that characterize a photovoltaic panel by using the Glowworm Swarm Optimization algorithm. This new algorithm shows great simplicity, flexibility and precision, being able to precisely locate the global optimum point or multiple global optimum points, independently of the initial conditions. The approach here adopted allows the utilization of the algorithm in several existing models to characterize a photovoltaic panel in the current literature.