Enhancing Photovoltaic Efficiency with the Optimized Steepest Gradient Method and Serial Multi-Cellular Converters

Author:

Fekik Arezki12ORCID,Azar Ahmad345ORCID,Hameed Ibrahim6ORCID,Hamida Mohamed2ORCID,Amara Karima2,Denoun Hakim2ORCID,Kamal Nashwa7ORCID

Affiliation:

1. Department of Electrical Engineering, University Akli Mohand Oulhadj-Bouria, Rue Drissi Yahia Bouira, Bouïra 10000, Algeria

2. Electrical Engineering Advanced Technology Laboratory (LATAGE), Tizi Ouzou 15000, Algeria

3. Automated Systems & Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh 11586, Saudi Arabia

4. College of Computer & Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia

5. Faculty of Computers and Artificial Intelligence, Benha University, Benha 13518, Egypt

6. Department of ICT and Natural Sciences, Norwegian University of Science and Technology, Larsgårdsve-gen, 2, 6009 Ålesund, Norway

7. Faculty of Engineering, Cairo University, Giza 12613, Egypt

Abstract

Many methods have been developed to aid in achieving the maximum power point (MPP) generated by PV fields in order to improve photovoltaic (PV) production. The optimized steepest gradient technique (OSGM), which is used to extract the maximum power produced by a PV field coupled to a multicell series converter, is one such promising methodology. The OSGM uses the power function’s first and second derivatives to find the optimal voltage (Vpv) and converge to the voltage (Vref) that secures the MPP. The mathematical model was developed in Matlab/Simulink, and the MPPT algorithm’s performance was evaluated in terms of reaction time, oscillations, overshoots, and stability. The OSGM has a faster response time, fewer oscillations around the MPP, and minimal energy loss. Furthermore, the numerical calculation of the gradient and Hessian of the power function enables accurate modeling, improving the system’s precision. These findings imply that the OSGM strategy may be a more efficient way of obtaining MPP for PV fields. Future research can look into the suitability of this method for different types of PV systems, as well as ways to improve the algorithm’s performance for specific applications.

Funder

Norwegian University of Science and Technology

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

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