Di Napoli, Fabio (2016) High Granularity approaches for effective energy delivery from Photovoltaic Sources. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Lingua: English
Title: High Granularity approaches for effective energy delivery from Photovoltaic Sources
Creators:
CreatorsEmail
Di Napoli, Fabiofabiodinap1987@libero.it
Date: 31 March 2016
Number of Pages: 161
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Elettrica e delle Tecnologie dell'Informazione
Scuola di dottorato: Ingegneria dell'informazione
Dottorato: Ingegneria elettronica e delle telecomunicazioni
Ciclo di dottorato: 28
Coordinatore del Corso di dottorato:
nomeemail
Riccio, Danieledaniele.riccio@unina.it
Tutor:
nomeemail
Santolo, DalientoUNSPECIFIED
Iannuzzi, DiegoUNSPECIFIED
Date: 31 March 2016
Number of Pages: 161
Uncontrolled Keywords: Photovoltaic; PV high granularity monitoring; Power Line Communication; PV high granularity modeling; Electrothermal simulation; Distributed Converter; Cascaded H Bridge Multilevel converter;
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-IND/09 - Sistemi per l'energia e l'ambiente
Area 09 - Ingegneria industriale e dell'informazione > ING-IND/32 - Convertitori, macchine e azionamenti elettrici
Area 09 - Ingegneria industriale e dell'informazione > ING-IND/33 - Sistemi elettrici per l'energia
Area 09 - Ingegneria industriale e dell'informazione > ING-INF/01 - Elettronica
Date Deposited: 12 Apr 2016 21:53
Last Modified: 31 Oct 2016 11:13
URI: http://www.fedoa.unina.it/id/eprint/10684

Abstract

Silicon solar cell technology is a fully mature technology but the need to compete with traditional and other renewable energy sources urges to improve the overall efficiency of a photovoltaic (PV) system by a significant amount. Regardless of the solar panel efficiency, the difference between the nominal performance of a PV system and the energy actually produced is quite high, and it can be quantified in the order of 20%. A loss term, often underestimated, depends on possible failure of the Maximum Power Point Tracking (MPPT) algorithms in the presence of multiple maximum power points in power-voltage characteristic, arising in mismatch conditions. This work proposes High Granularity (HG) approaches in order to improve the PV energy yield: a monitoring strategy, a modeling and a power flux control of the whole PV system, all performed at level of single elementary source (i.e., PV cell or PV panel). An innovative HG sensor infrastructure was developed, and the measurements were exploited to perform an automatic PV system reconfiguration, and to design an information based MPPT. Moreover, the data validated a circuit HG model describing the PV system at single cell level, which also accounts for the electrothermal effect. The model was exploited in an automatic tool which translates an AutoCAD project of a PV plant in an equivalent circuit netlist. Finally, the results were employed to investigate the effectiveness of distributed power conversion – in particular the efficiency of the multilevel cascaded H bridge converter controlled by means of an innovative strategy, which overcomes some issues related to the need of performing a distributed MPPT, was assessed.

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