Global Maximum Power Point Tracking of Photovoltaic Systems Using Bio-inspired Algorithm-Based MPPT and One-Cycle Control
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08493-2.pdf
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3. Elgendy, M.A.; Atkinson, D.J.; Zahawi, B.: Experimental investigation of the incremental conductance maximum power point tracking algorithm at high perturbation rates. IET Renew. Power Gener. 10(2), 133–139 (2016)
4. Kjær, S.B.: Evaluation of the “hill climbing’’ and the “incremental conductance’’ maximum power point trackers for photovoltaic power systems. IEEE Trans. Energy Convers. 27(4), 922–929 (2012)
5. Ilyas, A.; Khan, M.R.; Ayyub, M.: FPGA based real-time implementation of fuzzy logic controller for maximum power point tracking of solar photovoltaic system. Optik 213, 164668 (2020)
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