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A high-performance global maximum power point tracker of PV system for rapidly changing partial shading conditions

Kermadi, Mostefa; Salam, Zainal; Ahmed, Jubaer; Berkouk, El Madjid

Authors

Mostefa Kermadi

Zainal Salam

El Madjid Berkouk



Abstract

This article proposes a fast and efficient maximum power point tracker (MPPT) for photovoltaic (PV) systems under rapidly changing partial shading conditions. An intelligent mechanism is adopted to systematically schedule the search for the global maximum power point (GMPP) on the P-V curve. As a result, the voltage track, i.e., the path length that the operating point traverses along the voltage axis of the curve (until it converges to GMPP), is reduced. The search region is further minimized using a novel skipping scheme, where the voltage section that does not contain GMPP is discarded. The superiority of the proposed scheme is evaluated against two recent algorithms, namely, the maximum power trapezium and the flower pollination MPPT. The performance is analyzed in terms of convergence time, voltage track, and transient efficiency. The MATLAB simulation is verified experimentally using a PV array simulator, in conjunction with a buck-boost converter. The competing MPPT algorithms are implemented using the TMS320F240 DSP on the dSPACE DS1104 platform. The results indicate that under the same operating and shading conditions, the proposed scheme is the fastest and most reliable and exhibits the highest overall transient efficiency.

Journal Article Type Article
Acceptance Date Jan 27, 2020
Online Publication Date Feb 17, 2020
Publication Date 2021-03
Deposit Date Dec 28, 2021
Journal IEEE Transactions on Industrial Electronics
Print ISSN 0278-0046
Electronic ISSN 1557-9948
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 68
Issue 3
Pages 2236-2245
DOI https://doi.org/10.1109/TIE.2020.2972456
Keywords Global maximum power point (GMPP), maximum power point tracker (MPPT), partial shading, photovoltaic (PV) system
Public URL http://researchrepository.napier.ac.uk/Output/2823375