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An improved fuzzy logic control MPPT based P&O method to solve fast irradiation change problem.

Authors :
Boukezata, Boualem
Chaoui, Abdelmadjid
Gaubert, Jean-Paul
Hachemi, Mabrouk
Source :
Journal of Renewable & Sustainable Energy; 2016, Vol. 8 Issue 4, p1-14, 14p, 1 Color Photograph, 7 Diagrams, 3 Charts, 7 Graphs
Publication Year :
2016

Abstract

This paper proposes a fuzzy control method for tracking maximum power point in photovoltaic (PV) power systems to solve a fast irradiation change problem. Perturb and Observe (P&O) is known as a very simple maximum power point tracking and is extensively disseminated. Fuzzy logic is also simple to investigate and provides fast dynamics. The suggested technique combines both fuzzy logic and P&O advantages. A fuzzy logic-based P&O algorithm is illustrated to identify the fault direction tracking of conventional P&O algorithm under trapezoidal irradiation change. The proposed algorithm is verified using Matlab/Simulink™ software. The robust tracking capability under rapidly increasing and decreasing irradiance is verified experimentally with a PV array emulator. Simulation and experimental results confirm that the proposed algorithm provides effective, fast, and accurate tracking compared to the conventional P&O algorithm. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19417012
Volume :
8
Issue :
4
Database :
Complementary Index
Journal :
Journal of Renewable & Sustainable Energy
Publication Type :
Academic Journal
Accession number :
117855498
Full Text :
https://doi.org/10.1063/1.4960409