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A hybrid global maximum Power Point tracker for photovoltaic systems under complex partial shading conditions / Mostefa Kermadi 

Public ISBD Titre : A hybrid global maximum Power Point tracker for photovoltaic systems under complex partial shading conditions Type de document : texte imprimé Auteurs : Mostefa Kermadi, Auteur ; Berkouk, El Madjid, Directeur de thèse ; Zainal Salam, Directeur de thèse Editeur : [S.l.] : [s.n.] Année de publication : 2018 Importance : 157 f. Présentation : ill. Format : 30 cm. Accompagnement : 1 CD-ROM. Note générale : Thèse de Doctorat : Automatique : Alger, École Nationale Polytechnique : 2018 Bibliogr. f. 143 - 153 . Annexe f. 154 - 157 Langues : Anglais (eng) Mots-clés : Maximum  power  point  tracking  (MPPT)  ;  Photovoltaic  (PV)  ;  partial  shading  condition  (PSC) Index. décimale : D003818 Résumé : In Photovoltaic (PV) systems, maximum power point tracking (MPPT) is an indispensable task. To date, various MPPT techniques have been proposed in the literature using different methods. In this work, we performed initially a comprehensive comparative study of the most adopted MPPT techniques. Thereafter, we proposed a hybrid maximum power point tracker (MPPT) for photovoltaic (PV) system under complex partial shading conditions. The proposed algorithm combines conventional techniques with meta-heuristic algorithm i.e., the particle swarm optimization (PSO). By doing so, a fast, accurate and reliable tracking of the global maximum power point (GMPP) is guaranteed. The search space is fully scrutinized such that the convergence to GMPP is guaranteed. The performance of the proposed technique is evaluated against highly competitive MPPT algorithms. Tests are made to verify the correctness tracking of the GMPP under complex partial shading conditions. For experimental verification, hardware based photovoltaic array simulator is used in conjunction with a buck-boost converter. The proposed algorithm was implemented using the TMS320F240 DSP of dSPACE DS1104 board. A hybrid global maximum Power Point tracker for photovoltaic systems under complex partial shading conditions [texte imprimé] / Mostefa Kermadi, Auteur ; Berkouk, El Madjid, Directeur de thèse ; Zainal Salam, Directeur de thèse . - [S.l.] : [s.n.], 2018 . - 157 f. : ill. ; 30 cm. + 1 CD-ROM. Thèse de Doctorat : Automatique : Alger, École Nationale Polytechnique : 2018 Bibliogr. f. 143 - 153 . Annexe f. 154 - 157 Langues : Anglais (eng) Mots-clés : Maximum  power  point  tracking  (MPPT)  ;  Photovoltaic  (PV)  ;  partial  shading  condition  (PSC) Index. décimale : D003818 Résumé : In Photovoltaic (PV) systems, maximum power point tracking (MPPT) is an indispensable task. To date, various MPPT techniques have been proposed in the literature using different methods. In this work, we performed initially a comprehensive comparative study of the most adopted MPPT techniques. Thereafter, we proposed a hybrid maximum power point tracker (MPPT) for photovoltaic (PV) system under complex partial shading conditions. The proposed algorithm combines conventional techniques with meta-heuristic algorithm i.e., the particle swarm optimization (PSO). By doing so, a fast, accurate and reliable tracking of the global maximum power point (GMPP) is guaranteed. The search space is fully scrutinized such that the convergence to GMPP is guaranteed. The performance of the proposed technique is evaluated against highly competitive MPPT algorithms. Tests are made to verify the correctness tracking of the GMPP under complex partial shading conditions. For experimental verification, hardware based photovoltaic array simulator is used in conjunction with a buck-boost converter. The proposed algorithm was implemented using the TMS320F240 DSP of dSPACE DS1104 board.

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	Spécialité	Etat_Exemplaire
T000164	D003818	Papier	Bibliothèque Annexe	Thèse de Doctorat	Disponible	Automatique	Consultation sur place
T000163	D003818	Papier	Bibliothèque centrale	Thèse de Doctorat	Disponible	Automatique	Consultation sur place

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KERMADI.Mostefa.pdf URL