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Interval Type 2 Fuzzy-Logic-Based Solar Power MPPT Algorithm Connected to AC Grid
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Author(s): Amel Abbadi (university of medea, Medea, Algeria), Fethia Hamidia (university of medea, Medea, Algeria), Abdelkader Morsli (university of medea, Medea, Algeria), Habiba Bellatrache (Electronic Engineering Department University of Saad Dahlab, Blida1, Algeria), Djamel Boukhetala (Laboratoire de Commande des Processus, Département d'Automatique, École Nationale Polytechnique, El Harrach, Algeria)and Lazhari Nazli (Laboratoire de Commande des Processus, Département d'Automatique, École Nationale Polytechnique, El Harrach, Algeria)
Copyright: 2020
Volume: 9
Issue: 1
Pages: 12
Source title:
International Journal of Energy Optimization and Engineering (IJEOE)
Editor(s)-in-Chief: Jose Marmolejo-Saucedo (National Autonomous University of Mexico), Gerhard-Wilhelm Weber (Poznań University of Technology, Poland)and Pandian Vasant (Ton Duc Thang University, Vietnam)
DOI: 10.4018/IJEOE.2020010103
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Abstract
In this article, an interval type-2 fuzzy logic controller (IT2FLC) is used as a Maximum Power Point Tracker (MPPT) to supply a large scale interconnected grid. The IT2FLC has the advantage of being able to regulate the MPP in case of severe variations of the weather conditions. A photovoltaic array is connected to AC grid via a DC-DC boost converter and a three-phase three-level Voltage Source Converter (VSC). The duty cycle of the boost converter is switched by the IT2FLC. A three phase VSC converts the VDC link voltage to AC and keeps unity power factor. The VSC control system uses two control loops: an external control loop which regulates DC link voltage to alternative current and an internal control loop which regulates the active and the reactive grid currents. Vd and Vq voltage outputs of the current controller are converted to three modulating signals used by the PWM Generator.
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