An accelerated aquila optimizer for maximum power point tracking of PV systems under partial shading conditions

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dc.contributor.authorBelmadani, Hamza
dc.contributor.authorMerabet, Oussama
dc.contributor.authorKhettab, Sofiane
dc.contributor.authorMaindola, Meenakshi
dc.contributor.authorBajaj, Mohit
dc.contributor.authorOubelaid, Adel
dc.date.accessioned2024-10-21T12:41:39Z
dc.date.available2024-10-21T12:41:39Z
dc.date.issued2024
dc.description.abstractIn this work, an improved version of the recent Aquila Optimizer was designed for Maximum Power Point Tracking. The new algorithm was tested on a standalone PV system under several complex partial shading scenarios. A comparative study was conducted to evaluate efficiency, robustness, and convergence speed against the PSO, and the standard AO algorithms. The results indicate that the proposed Accelerated Aquila Optimizer (AAO) generally outperformed its competitors, particularly in terms of convergence time.en_US
dc.identifier.issn2555-0403
dc.identifier.urihttps://www.e3s-conferences.org/articles/e3sconf/abs/2024/94/e3sconf_icpgres2024_09001/e3sconf_icpgres2024_09001.html
dc.identifier.urihttps://doi.org/10.1051/e3sconf/202456409001
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/14473
dc.language.isoenen_US
dc.publisherEDP Sciencesen_US
dc.relation.ispartofseriesE3S Web of Conferences/ Vol. 564, Art. N° 09001. International Conference on Power Generation and Renewable Energy Sources, ICPGRES 2024, Warangal;
dc.titleAn accelerated aquila optimizer for maximum power point tracking of PV systems under partial shading conditionsen_US
dc.typeArticleen_US

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