DocumentCode :
666012
Title :
On-line optimization of the P&O MPPT method by means of the system identification
Author :
Manganiello, Patrizio ; Ricco, Mattia ; Monmasson, E. ; Petrone, Giovanni ; Spagnuolo, Giovanni
Author_Institution :
Seconda Univ. degli Studi di Napoli, Aversa, Italy
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
1786
Lastpage :
1791
Abstract :
One of the main functions any photovoltaic system is equipped with is the maximum power point tracking. The perturb and observe technique is one of the mainly used algorithms for tracking the optimal operating point of the photovoltaic source. Its performances depend on the values of the two design parameters, that are the amplitude and the frequency of the perturbations it applies for identifying the position of the maximum power point. In this paper, two methods for an on-line optimization of the perturbation period are presented. They are based on the identification of the dc/dc converter, that controls the photovoltaic source, by means of its impulse and frequency response, both evaluated by using the cross-correlation method. Such methods, as well as the tracking algorithm, are effectively implemented by using a Field Programmable Gate Array. The feasibility of the proposed methods has been confirmed by Matlab simulations.
Keywords :
DC-DC power convertors; correlation methods; field programmable gate arrays; maximum power point trackers; optimisation; perturbation theory; photovoltaic power systems; power system identification; DC-DC converter; Matlab simulation; P&O MPPT method; cross-correlation method; field programmable gate array; maximum power point tracking; online optimization; optimal operating point tracking; perturb and observe technique; photovoltaic system; power system identification; Arrays; Equations; Estimation; Frequency response; Mathematical model; Maximum power point trackers; Resistance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6699402
Filename :
6699402
Link To Document :
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