Diseño e implementación de un convertidor estático usando algoritmos MPPT para aumentar la eficiencia en sistemas fotovoltaicos tipo paneles solares en la ciudad de Cali - Colombia

Abstract

In the following thesis, the implementation, evaluation and comparison of four MPPT algorithms (Maximum Power Point Tracker), known as Maximum Power Point Tracking algorithms in curves (current vs. voltage) of Photovoltaic Solar Systems, are presented. The algorithms studied in this work, are: P&O (Perturb and Observe), Modified P&O (variable step), a Diffuse Controller and a Neural Network. For the implementation of such tracking algorithms, Matlab’s Simulink software was used; this software has libraries that allow to easily load models to programmable cards. In this case, ATmega2506 microcontroller chip is used, contained within the Arduino Mega 2506 board.

The proposed system for this work’s development is constituted by a 255 W solar panel, a DC/DC elevator type converter (Boost type), which is controlled through a PWM and a controller that generates the control signal for the converter, taking into account the implemented MPPT algorithm. As a final stage, the system has a load of 20 Ω.

The parameters that are used as a comparison point between algorithms are determined by: the convergence time to the maximum power point, the steady-state error between the nominal maximum power point and the point where the system converges to with the algorithm.