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

Abstract : 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.
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https://hal.laas.fr/hal-02943934
Contributor : Boutaib Dahhou <>
Submitted on : Monday, September 21, 2020 - 9:19:08 AM
Last modification on : Thursday, June 10, 2021 - 3:04:07 AM

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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⟩

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