Solución del modelo de un generador fotovoltaico utilizando los algoritmos de optimización Trust Region Dogleg y PSO

  • Luis Miguel Perez- Archila Universidad Industrial de Santader
  • Juan David Bastidas-Rodriguez Universidad Nacional de Colombia
  • Rodrigo Correa Universidad Industrial de Santander http://orcid.org/0000-0002-6507-1809

Resumen

El modelo matemático de un generador fotovoltaico en conexión Serie-Paralelo representado mediante el modelo de diodo simple, tiene asociado a él un sistema de ecuaciones no lineales. En este trabajo se propone la solución de estos sistemas empleando los métodos de optimización Trust Region Dogleg y Optimización por Enjambre de Partículas, para resolver el modelo de un generador fotovoltaico operando en condiciones homogéneas y no homogéneas, variando el número de submódulos y el patrón de sombreado que incide sobre el generador. Se realizó la simulación de los modelos para generadores compuestos por 3 y 15 submódulos en serie, bajo diferentes condiciones de sombreado. De los métodos implementados, Trust Region Dogleg mostró un mejor desempeño con tiempos de cómputo 2 y 14 veces menores que el método de referencia y Optimización por Enjambre de Partículas, respectivamente. Y un error medio cuadrático igual o un 50 % inferior a los otros métodos.

Palabras clave: optimización, modelo, generador fotovoltaico, sombreado parcial, condición no-homogénea

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Publicado
2019-12-31