Experimental Implementation of Mppt Algorithms in a Photovoltaic-Fed Battery Charging System

Abstract

In this thesis, MPPT methods for a PV system with a buck converter, a programmable load and batteries are analyzed at the experimental level. The analysis considers two direct MPPT methods (P&O and IC) and two indirect MPPT methods (constant voltage method and fixed power factor method). First, the basic features and types of PV modules are described, as well as the influence of changes in insolation and temperature on the power characteristics of PV modules. Furthermore, the buck converter and the operating mode used in the analysis are described, and then the MPPT methods and their algorithms are discussed. Then, all elements and parameters used to realize the laboratory model are described in detail. A programmable DC source was used as a PV module emulator, while a programmable AC/DC load was used to simulate the load, to which lead-acid batteries were connected in parallel. The model of the control algorithm was created in MATLAB Simulink, with the use of appropriate blocks from the dSpace library for the acquisition of measured signals and the generation of control PWM pulses, which enable the execution of the algorithm in real time using the DS1104 card. At the very end, recorded dynamic experimental responses for the considered MPPT methods and associated static characteristics are presented and commented on, and the most promising MPPT methods for the considered system were determined by comparing the obtained results.

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