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Advanced Artificial Intelligence Algorithms for Microcontroller based Maximum Power Point Tracking of Photovoltaic
ISSN: en
Publisher: author
Advanced Artificial Intelligence Algorithms for Microcontroller based Maximum Power Point Tracking of Photovoltaic
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Abstract
In this paper, the detailed analysis and performance appraisal of a completely new algorithm based on Stimulated Annealing (SA) technique, a more accurate densely clustered controllable precision based fuzzy logic algorithm and a fast-converging high precision robust algorithm based on particle swarm optimization (PSO) has been presented for MPPT to optimize standalone PV panel operating point even under rapidly and significantly changing weather pattern. The proposed algorithms are as simple as traditional P&O and Hill-climbing algorithm, yet they can successfully encounter the oscillation problem and steady state error problem even under worst case scenario with efficiency more than 99%. The algorithms eliminate hardware complexity and can be implemented using programmable microcontrollers. The performances of these proposed algorithms are compared with a state-of-the-art artificially intelligent algorithm known as Genetic algor...
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International Category Code (ICC):
ICC-0202
Md. Ali Azam, Md. Ashfanoorkabir, Md. Hossaintoufiq Imam, Syed Abdull..
International Article Address (IAA):
IAA.ZONE/en6737en
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