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Perturb and observe based on fuzzy logic controller maximum power point tracking (MPPT)
Conference proceeding

Perturb and observe based on fuzzy logic controller maximum power point tracking (MPPT)

Ahmed Ali, Ali N Hasan and Tshilidzi Marwala
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, pp 406-411
01 Oct 2014

Abstract

Solar Energy Photovoltaic Cells
Photovoltaic (PV) systems are considered to be renewable resources of energy that utilize direct sun radiation and converts it to electric power. The most important elements in such systems are photovoltaic cells that are connected as an array to produce usable electric energy. These systems need electronic converters to convert the system's output current and voltage into a proper form when considering the conditions of the system's load and its needs. The most commonly used electronic converter is the DC to DC converter where high voltage is generated from the low solar cell voltage. This paper, explores the PV system and DC to DC converter with reference to two cases: in the first case, the system was designed as a closed loop system, since the situation of the system depends on the algorithm of the maximum power point tracking (MPPT), which captures the maximum amount of sunshine to generate the maximum electrical power. This system simulation and hardware implementation was done using the MATLAB/SIMULINK software program and real components integration. In the second case, the system was designed depending on MPPT, but the simulation was done by using a fuzzy logic controller. The implementation and simulation results for both cases are presented to illustrate the output voltage's steady state returning ability when the input voltage influence varied. The presence of a minute settling time and over-shoot in output voltage return ia apparent as well. Finally, the result for the two cases is compared to ascertain which case is better.

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23 citations in Web of Science

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