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Innovative GMPPT searching algorithm and precise backstepping control for grid-connected PV system in challenging shading environments

International Journal of Power Electronics and Drive Systems · Vol. 15 No. 3 (2024) · pp. 1537–1546

DOI
10.11591/ijpeds.v15.i3.pp1537-1546
ISSN
2722-256X, 2088-8694
Published
2024-09-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Photovoltaic (PV) systems encounters different problems of weather conditions that lowers their generated power. For this reason, maximum power point tracking (MPPT) have been designed to track the maximum power at all times and thus minimize these losses. However, under complexes partial shading condition (PSC) these losses are even higher. Classical MPPT algorithms fails to track the global MPP (GMPP) which further augment the power losses. Alternately, a grid connected topology of the PV system is chosen but needs a control method to phase the inverter current with the grid. This paper introduces a novel algorithm named power search algorithm (PSA) that memorizes the highest peak as it scans the PV curve then returns and locks it. Due to its simplicity, this proposed method is suitable for practical use and manages to track the GMPP with high efficiency of 99.5% and a mean response time of 0.04 s. Comparison was made with a gray wolf optimization (GWO) technique. Simulation was done in MATLAB/Simulink. Results shows that the proposed algorithm performed better than the GWO in all aspect of efficiency, tracking time and oscillations around GMPP. Also, a backstepping control was used to inject a good synchronized power to the grid.

Keywords

Collaboration network of the authors

24 authors · 57 co-authorship links · 12 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Hassan II Casablanca
  • Université Hassan 1er
  • Aix-Marseille Université
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Elhassane AbdelmounimUniversité Hassan 1er3
Aziza BenaboudUniversity of Hassan II Casablanca3
Khadija AbdouniUniversity of Hassan II Casablanca2
Mostafa BenboukousUniversity of Hassan II Casablanca2
Asmaa DrighilUniversity of Hassan II Casablanca2
Mohamed BourUniversity of Hassan II Casablanca2
M'hammed GuisserUniversité Hassan 1er2
Mohammed El MalahUniversité Hassan 1er2
Khalid SabhiUniversity of Hassan II Casablanca2
Chaimaa LakhdairiUniversity of Hassan II Casablanca2
Youssef MsalaUniversité Hassan 1er2
Oussama HamedAix-Marseille Université2
Ahmed MoutabirUniversity of Hassan II Casablanca1
Zouhair Ibn BatoutaUniversity of Hassan II Casablanca1
Rachid DehbiUniversity of Hassan II Casablanca1
Sakina AmmariUniversity of Hassan II Casablanca1
Abdellah BakhouyiUniversity of Hassan II Casablanca1
Amine DehbiUniversity of Hassan II Casablanca1
Al Mahdi KhaddarUniversity of Hassan II Casablanca1
Hind EnnasriUniversity of Hassan II Casablanca1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://ijpeds.iaescore.com/index.php/IJPEDS/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Innovative GMPPT searching algorithm and precise backstepping control for grid-connected PV system in challenging shading environments</dc:title>
	<dc:creator>Bahri, Mohamed</dc:creator>
	<dc:creator>Talea, Mohamed</dc:creator>
	<dc:creator>Bahri, Hicham</dc:creator>
	<dc:creator>Aboulfatah, Mohamed</dc:creator>
	<dc:subject xml:lang="en-US">backstepping control; partial shading conditions; photovoltaic system; scanning algorithm; synchronization; three phase grids connected</dc:subject>
	<dc:description xml:lang="en-US">Photovoltaic (PV) systems encounters different problems of weather conditions that lowers their generated power. For this reason, maximum power point tracking (MPPT) have been designed to track the maximum power at all times and thus minimize these losses. However, under complexes partial shading condition (PSC) these losses are even higher. Classical MPPT algorithms fails to track the global MPP (GMPP) which further augment the power losses. Alternately, a grid connected topology of the PV system is chosen but needs a control method to phase the inverter current with the grid. This paper introduces a novel algorithm named power search algorithm (PSA) that memorizes the highest peak as it scans the PV curve then returns and locks it. Due to its simplicity, this proposed method is suitable for practical use and manages to track the GMPP with high efficiency of 99.5% and a mean response time of 0.04 s. Comparison was made with a gray wolf optimization (GWO) technique. Simulation was done in MATLAB/Simulink. Results shows that the proposed algorithm performed better than the GWO in all aspect of efficiency, tracking time and oscillations around GMPP. Also, a backstepping control was used to inject a good synchronized power to the grid.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2024-09-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/23160</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v15.i3.pp1537-1546</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 15, No 3: September 2024; 1537-1546</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v15.i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/23160/14620</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Mohamed Bahri</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>