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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 2nd International Conference on Renewable Energy (CIER’14) 2014

Maximum Power Point Tracking For

Photovoltaic Systems: A Comparison between GAs and PSO Approaches

M. BECHOUAT, Y. Soufi, S. Kahla, B.Guendouz, M. Sedraoui

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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