DocumentCode :
1526644
Title :
Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking
Author :
Piegari, L. ; Rizzo, Rocco
Author_Institution :
Dept. of Electr. Eng., Univ. of Naples Federico II, Naples, Italy
Volume :
4
Issue :
4
fYear :
2010
fDate :
7/1/2010 12:00:00 AM
Firstpage :
317
Lastpage :
328
Abstract :
The optimisation of energy generation in a photovoltaic (PV) system is necessary to let the PV cells operate at the maximum power point (MPP) corresponding to the maximum efficiency. Since the MPP varies, based on the irradiation and cell temperature, appropriate algorithms must be utilised to track the MPP. This is known as maximum power point tracking (MPPT). Different MPPT algorithms, each with its own specific performance, have been proposed in the literature. A so-called perturb and observe (P&O) method is considered here. This method is widely diffused because of its low-cost and ease of implementation. When atmospheric conditions are constant or change slowly, the P&O method oscillates close to MPP. However, when these change rapidly, this method fails to track MPP and gives rise to a waste of part of the available energy. An adaptive P&O method is proposed in this study that has faster dynamics and improved stability compared to the traditional P&O. The MPPT algorithm was set up and validated by means of numerical simulations and experimental tests, confirming the effectiveness of the method.
Keywords :
maximum power point trackers; solar cell arrays; PV cells; adaptive perturb and observe algorithm; energy generation optimisation; maximum power point tracking; photovoltaic system;
fLanguage :
English
Journal_Title :
Renewable Power Generation, IET
Publisher :
iet
ISSN :
1752-1416
Type :
jour
DOI :
10.1049/iet-rpg.2009.0006
Filename :
5497933
Link To Document :
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