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- Glowworm Swarm Optimization for photovoltaic model identificationPublication . Nunes, H.G.G.; Pombo, José; Fermeiro, J.B.L.; Mariano, S.; Calado, M. do RosárioThis 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.
- Particle Swarm Optimization for photovoltaic model identificationPublication . Nunes, Hugo; Pombo, José Álvaro Nunes; Fermeiro, J.B.L.; Mariano, S.; Calado, M. do RosárioThis paper proposes a comprehensive modeling and parameters extraction method of solar photovoltaic module based on the Particle Swarm Optimization algorithm. The character-istic curves of photovoltaic panel are obtained by using only the information provided by the manufacturer data-sheet, avoiding the need to carry out experimental data. The performance and the accuracy of the proposed method are evaluated by applying the one-diode model and the results are compared with those obtained by the well-known Lambert W function. The proposed method shows a higher performance.