Maximum Power Point Tracking For Photovoltaic Systems: A Comparison between GAs and PSO Approaches

Type : Article de conférence
Auteur(s) :  M. BECHOUAT, Y. Soufi, S. Kahla, B.Guendouz, M. Sedraoui
Année :  2014
Domaine : Automatique
Conférence: The 2nd International Conference on Renewable Energy (CIER’14)
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  Photovoltaic systems, Boost, PWM, MPPT, PSO, GAs

Résumé : 

Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) are proposed in this paper to generate a duty cycle. The duty cycle (D) used in Pulse With modulation (PWM) to reproduced control switch for the boost converter by the maximum power point tracking (MPPT) for a photovoltaic (PV) system. As results indicated, using particle swarm optimization (PSO) and Genetic Algorithms (GAs) are used for stabilization of a photovoltaic system (PV).