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Maximum Power Point Tracking Using Fuzzy Logic Controller under Partial Conditions
Department of Mechanical Engineering, Jordan University of Science and Technology, Irbid, Jordan
Department of Mechanical Engineering, Jordan University of Science and Technology, Irbid, Jordan
Department of Mechanical Engineering, Applied University, Salt, Jordan
- 1 Department of Mechanical Engineering, Jordan University of Science and Technology, Irbid, Jordan
- 2 Department of Mechanical Engineering, Jordan University of Science and Technology, Irbid, Jordan
- 3 Department of Mechanical Engineering, Applied University, Salt, Jordan
Smart Grid and Renewable Energy·Volume 06 (2015)·Pages 1–13·Published 15 January 2015·DOI10.4236/sgre.2015.61001
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Abstract
This study proposes a fuzzy system for tracking the maximum power point of a PV system for solar panel. The solar panel and maximum power point tracker have been modeled using MATLAB/Simulink. A simulation model consists of PV panel, boost converter, and maximum power point tack MPPT algorithm is developed. Three different conditions are simulated: 1) Uniform irradiation; 2) Sudden changing; 3) Partial shading. Results showed that fuzzy controller successfully find MPP for all different weather conditions studied. FLC has excellent ability to track MPP in less than 0.01 second when PV is subjected to sudden changes and partial shading in irradiation.
KeywordsFuzzy Logic ControllerMaximum Power PointPhotovoltaic SystemPartial Shading
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