Multi-objective optimization of fuzzy MPPT using improved strength Pareto evolutionary algorithm

Ouahib Guenounou (1) , Boutaib Dahhou (2) , Ferhat Chabour (3)

1 Laboratoire LTII
2 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite
3 GREAH - Groupe de Recherche en Electrotechnique et Automatique du Havre

With the exception of a few simple applications, all photovoltaic (PV) conversion systems have a maximum power point tracking (MPPT) unit which allows an optimal extraction of power. In this paper, the fuzzy logic controller and evolutionary methods are combined to obtain an efficient MPPT unit with a fast response in transient state and minimal errors in steady state. The proposed combination shows a good performance in simulation and offers a varied set of MPPT controllers.

Domaines: Automatique / Robotique; Automatique; Systèmes et contrôle [cs.SY]

Ouahib Guenounou, Boutaib Dahhou, Ferhat Chabour. Multi-objective optimization of fuzzy MPPT using improved strength Pareto evolutionary algorithm. 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), Jun 2020, Istanbul, Turkey. pp.1-6, ⟨10.1109/ICECCE49384.2020.9179236⟩. ⟨hal-02943934⟩