A Novel Global Maximum Power Point Tracking Method Based on Measurement Cells
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A_Novel_Global_Maximum_Power_P ...
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Author
Morales, R.H.Rohten, J.A.
Garbarino, M.N.
Munoz, J.A.
Silva, J.J.
Pulido, E.S.
Espinoza, J.R.
Andreu, M.L.
Affiliation
Department of Mining and Geological Engineering, University of ArizonaIssue Date
2022Keywords
DC-AC power converterDC-AC power converters
GMPPT
Heuristic algorithms
Inverters
Maximum power point trackers
MPPT
Oscillators
partial shading algorithm
Photovoltaic cells
PV system
Voltage
Voltage control
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Morales, R. H., Rohten, J. A., Garbarino, M. N., Munoz, J. A., Silva, J. J., Pulido, E. S., Espinoza, J. R., & Andreu, M. L. (2022). A Novel Global Maximum Power Point Tracking Method Based on Measurement Cells. IEEE Access, 1–1.Journal
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Copyright © 2022 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Solar power generation has become a solution to mitigate the severe effects on the everyday higher prices of fossil fuels. Additionally, renewable energies operation -as solar- results in a non-polluting way to supply energy, being of special interest into highly contaminated cities and/or countries. The solar energy efficiency injection system is known to be high and mainly due to the power converters effectiveness, which is over of 95% for low and medium voltage. However, this efficiency is reduced when the solar array is partially shaded because traditional maximum power point tracking (MPPT) algorithms are not able to find the maximum power point (MPP) under irregular radiation. This work presents a new algorithm to find the global MPP (GMPP) based upon two MPPTs algorithms used regularly in uniform solar condition (USC), these are the Measuring Cell (MC) and the Perturb and Observe (P&O) methods. The MC ensures to find the surroundings of every local MPP (LMPP) faster and then choose among them the surroundings of the GMPP. Once the surroundings of GMPP are found, the P&O is used to get closer to the GMPP but reducing the DC voltage oscillation to zero hence overcoming the main issue of the P&O. Thus, the proposed algorithm finds the GMPP in two main steps and eliminates the oscillations around the GMPP in steady state, despite the utilization of the P&O. The algorithm is detailed mathematically, illustrated by means of a block diagram, and validated in simulated and experimental results. AuthorNote
Open access journalISSN
2169-3536Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1109/ACCESS.2022.3205163
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Except where otherwise noted, this item's license is described as Copyright © 2022 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.