An Accelerated Aquila Optimizer for Maximum Power Point Tracking of PV Systems under Partial Shading Conditions

¹ SET Laboratory, Blida 1 University, Faculty of Technology, Electronics Department, 09000 Blida, Algeria
² Laboratory of Signals & Systems, Institute of Electrical and Electronic Engineering, University M’hamed Bougara, Boumerdes, Algeria
³ Department of Computer Science Engineering, Graphic Era (Deemed to be University), Dehradun - 248002, India
⁴ Department of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun - 248002, India
⁵ Graphic Era Hill University, Dehradun, 248002, India
⁶ Université de Bejaia, Faculté de Technologie, Laboratoire de Technologie Industrielle et de l’Information, Bejaia 06000, Algeria

^* Corresponding author: thebestbajaj@gmail.com

Abstract

In 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.