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

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Academic year: 2021

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The 2

nd

International Conference on Renewable Energy (CIER’14)

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

Approaches

M. Bechouat1, 2, Y. Soufi3, S. Kahla1, 4, B.Guendouz2, M. Sedraoui1

1Department of Electronic and Telecommunication,

Faculty of Sciences and Technology, University of 8 May 1945 of Guelma, Algeria.

2Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, 47133, Ghardaïa, Algérie

3Labget laboratory, Department of Electrical Engineering, University of Tebessa, Algeria

[email protected];[email protected];[email protected];[email protected];

[email protected]

Abstract— 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).

Keywords—Photovoltaic systems, Boost, PWM, MPPT, PSO, GAs

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