Title: Simulation and practical implementation under different scenarios of indirect incremental conductance algorithm for MPPT of PV system

Authors: Noureddine Bouarroudj; Amor Fezzani; Boualam Benlahbib; Bachir Batoun; Said Drid; Djamel Boukhetala

Addresses: Unité de Recherche Appliquée en Energies Renouvelables (URAER), Centre de Développement des Energies Renouvelables (CDER), 47133, Ghardaïa, Algeria ' Unité de Recherche Appliquée en Energies Renouvelables (URAER), Centre de Développement des Energies Renouvelables (CDER), 47133, Ghardaïa, Algeria ' Unité de Recherche Appliquée en Energies Renouvelables (URAER), Centre de Développement des Energies Renouvelables (CDER), 47133, Ghardaïa, Algeria ' Unité de Recherche Appliquée en Energies Renouvelables (URAER), Centre de Développement des Energies Renouvelables (CDER), 47133, Ghardaïa, Algeria ' LSPIE Laboratory, Electrical Engineering Department, University of Batna 2, Batna, Algeria ' Laboratoire de Commande des Processus, Ecole Nationale Polytechnique, 10 Rue des Frères OUDEK, El-Harrach 16200, Alger, Algeria

Abstract: Simplicity and good tracking performance have made the incremental conductance (INC) algorithm for maximum power point tracking (MPPT) of photovoltaic (PV) systems the most widely used algorithm. This paper treats of simulation and practical implementation of the indirect INC algorithm with a conventional proportional integral (PI) controller under different scenarios. Firstly, a comparison between indirect INC algorithm and the direct one is carried out, and in which the indirect INC algorithm is shown to be superior. Secondly, a simulation using Matlab/Simulink program is conducted under standard climatic conditions, immediate change of irradiance and under immediate change of resistive load value. Finally, the validated indirect INC algorithm is implemented using a real prototype under the same scenarios as in the simulation.

Keywords: PV-module; boost converter; direct INC algorithm; indirect INC algorithm.

DOI: 10.1504/IJAIP.2025.146973

International Journal of Advanced Intelligence Paradigms, 2025 Vol.30 No.2, pp.131 - 151

Received: 14 Nov 2018
Accepted: 04 Jan 2019
Published online: 10 Jul 2025 *

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