1. Solución del modelo de un generador fotovoltaico utilizando los algoritmos de optimización Trust Region Dogleg y PSO.
- Author
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Miguel Perez-Archila, Luis, David Bastidas-Rodriguez, Juan, and Correa, Rodrigo
- Subjects
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PARTICLE swarm optimization , *NONLINEAR equations , *ELECTRIC circuits , *MATHEMATICAL optimization , *MATHEMATICAL models , *ELECTRIC generators , *RANDOM numbers , *VARISTORS - Abstract
Mathematical Model of a Series-Parallel (SP) photovoltaic (PV) generator represents each module through an equivalent electrical circuit denominated single diode model, this model has associated a nonlinear equation system that describes the electrical behavior of SP generator. This paper presents a solution of this system using optimization methods widely using: Trust Region Dogleg and Particle swarm optimization (PSO) for solving the electrical model of PV generator operating under homogeneous or non-homogeneous conditions, changing the number of submodules and shading pattern. It has been made simulations about generators composed by 3 and 15 series submodules, operating under different partial shading conditions. Between the implemented methods, Trust Region Dogleg show a better performance than other methods, with 2 and 14 times less computation time than the reference method and PSO, respectively, and a RMSE equal or 50% lower than PSO. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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