Centro de Documentación de Fundación MAPFRE - Design of small photovoltaic power generation system based on maximum power point tracking

Notas: Sumario: According to the nonlinear output characteristics of photovoltaic cells, combined with artificial intelligence algorithmthe the MPPTiMaximum Power Point Trackingjcontrol algorithm based on fuzzy variable step size is proposed, which enables the system to quickly track the maximum power point and improve the energy conversion efficiency of photovoltaic system.This paper designs a small-scale photovoltaic power generation system. The main circuit of the system consists of Perovskite Solar Panels, DC voltage regulator circuit, storage battery and one-way full bridge inverter circuit. The control circuit consists of sun-seeking, inverter and maximum power tracking on constant voltage. Proteus simulation software is used to simulate the sun-seeking part, the inverting part, the general control unit, the keys and the display interface. The results indicate that the functions of the small-scale photovoltaic power generation system can be achieved very well.Registros relacionados: En: Revista Iberoamericana de Inteligencia Artificial. - IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018- = ISSN 1988-3064. - 31/12/2020 Volumen 23 Número 66 - diciembre 2020 , p. 26-35Materia / lugar / evento: Energía fotovoltaica Algoritmos Inteligencia artificial Paneles solares Otros autores: Cui, Yang
Otras clasificaciones: 922.134

Derechos: In Copyright (InC)

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