Fuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems

Conventionally, the parameters of a fuzzy logic controller (FLC) are obtained by a trial and error method or by human experience. In this paper, the problem of designing a FLC for maximum power point tracking (MPPT) of a photovoltaic system (PV) that consists of a PV generator, a DC-DC boos...

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Autores principales:	Bouarroudj Noureddine, Abdelkrim Thameur, Farhat Maissa, Feliu-Batlle Vicente, Benlahbib Boualam, Boukhetala Djamel, Boudjema Fares
Formato:	article
Lenguaje:	EN
Publicado:	Faculty of Technical Sciences in Cacak 2021
Materias:	pv system boost converter mppt flc flc-mppt pso flcmppt-pso. Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/69811408cf2e44d5b9252310f8b037b6
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id	oai:doaj.org-article:69811408cf2e44d5b9252310f8b037b6
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spelling	oai:doaj.org-article:69811408cf2e44d5b9252310f8b037b62021-12-01T13:00:47ZFuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems1451-48692217-718310.2298/SJEE2103351Bhttps://doaj.org/article/69811408cf2e44d5b9252310f8b037b62021-01-01T00:00:00Zhttp://www.doiserbia.nb.rs/img/doi/1451-4869/2021/1451-48692103351B.pdfhttps://doaj.org/toc/1451-4869https://doaj.org/toc/2217-7183Conventionally, the parameters of a fuzzy logic controller (FLC) are obtained by a trial and error method or by human experience. In this paper, the problem of designing a FLC for maximum power point tracking (MPPT) of a photovoltaic system (PV) that consists of a PV generator, a DC-DC boost converter and a lead-acid battery is studied. The normalization gains, the membership functions and the fuzzy rules are automatically adjusted using a particles swarm optimization algorithm (PSO) in order to maximize the criterion based on the integration of the PV module power under standard temperature condition (STC) (T=25ºC and S=1000 W/m2). The robustness test of the optimized fuzzy logic MPPT controller (FLC-MPPT) is carried out under different scenarios. Simulation results of the system clearly show that the proposed optimized FLCMPPT controller outperforms in terms of maximum efficiency the FLC-MPPT controller not optimized, the FLC-MPPT controller with optimized normalization gains and the FLC-MPPT controller with optimized normalization gains and membership functions.Bouarroudj NoureddineAbdelkrim ThameurFarhat MaissaFeliu-Batlle VicenteBenlahbib BoualamBoukhetala DjamelBoudjema FaresFaculty of Technical Sciences in Cacakarticlepv systemboost convertermpptflcflc-mpptpsoflcmppt-pso.Electrical engineering. Electronics. Nuclear engineeringTK1-9971ENSerbian Journal of Electrical Engineering, Vol 18, Iss 3, Pp 351-384 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	pv system boost converter mppt flc flc-mppt pso flcmppt-pso. Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	pv system boost converter mppt flc flc-mppt pso flcmppt-pso. Electrical engineering. Electronics. Nuclear engineering TK1-9971 Bouarroudj Noureddine Abdelkrim Thameur Farhat Maissa Feliu-Batlle Vicente Benlahbib Boualam Boukhetala Djamel Boudjema Fares Fuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems
description	Conventionally, the parameters of a fuzzy logic controller (FLC) are obtained by a trial and error method or by human experience. In this paper, the problem of designing a FLC for maximum power point tracking (MPPT) of a photovoltaic system (PV) that consists of a PV generator, a DC-DC boost converter and a lead-acid battery is studied. The normalization gains, the membership functions and the fuzzy rules are automatically adjusted using a particles swarm optimization algorithm (PSO) in order to maximize the criterion based on the integration of the PV module power under standard temperature condition (STC) (T=25ºC and S=1000 W/m2). The robustness test of the optimized fuzzy logic MPPT controller (FLC-MPPT) is carried out under different scenarios. Simulation results of the system clearly show that the proposed optimized FLCMPPT controller outperforms in terms of maximum efficiency the FLC-MPPT controller not optimized, the FLC-MPPT controller with optimized normalization gains and the FLC-MPPT controller with optimized normalization gains and membership functions.
format	article
author	Bouarroudj Noureddine Abdelkrim Thameur Farhat Maissa Feliu-Batlle Vicente Benlahbib Boualam Boukhetala Djamel Boudjema Fares
author_facet	Bouarroudj Noureddine Abdelkrim Thameur Farhat Maissa Feliu-Batlle Vicente Benlahbib Boualam Boukhetala Djamel Boudjema Fares
author_sort	Bouarroudj Noureddine
title	Fuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems
title_short	Fuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems
title_full	Fuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems
title_fullStr	Fuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems
title_full_unstemmed	Fuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems
title_sort	fuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems
publisher	Faculty of Technical Sciences in Cacak
publishDate	2021
url	https://doaj.org/article/69811408cf2e44d5b9252310f8b037b6
work_keys_str_mv	AT bouarroudjnoureddine fuzzylogiccontrollerbasedmaximumpowerpointtrackinganditsoptimaltuninginphotovoltaicsystems AT abdelkrimthameur fuzzylogiccontrollerbasedmaximumpowerpointtrackinganditsoptimaltuninginphotovoltaicsystems AT farhatmaissa fuzzylogiccontrollerbasedmaximumpowerpointtrackinganditsoptimaltuninginphotovoltaicsystems AT feliubatllevicente fuzzylogiccontrollerbasedmaximumpowerpointtrackinganditsoptimaltuninginphotovoltaicsystems AT benlahbibboualam fuzzylogiccontrollerbasedmaximumpowerpointtrackinganditsoptimaltuninginphotovoltaicsystems AT boukhetaladjamel fuzzylogiccontrollerbasedmaximumpowerpointtrackinganditsoptimaltuninginphotovoltaicsystems AT boudjemafares fuzzylogiccontrollerbasedmaximumpowerpointtrackinganditsoptimaltuninginphotovoltaicsystems
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Fuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems

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