Acomparative study of MPPT techniques for PV systems

Author

Charfi, Selem ; Chaabene, Maher

Author_Institution

Machine Control & Power Grid Res. Unit, Univ. of Sfax, Sfax, Tunisia

fYear

2014

fDate

25-27 March 2014

Firstpage

1

Lastpage

6

Abstract

Power generation of photovoltaic panels (PVP) depends mainly on the cell temperature (T) and the solar irradiance (G). Moreover, for a given climatic condition, the operating point is sensitive to the PVP connected load. To enable the PVP to generate the maximum of available power, many maximum power point trackers (MPPT) algorithms are developed. This paper presents an assessment of four main used algorithms: the Perturb & Observe, the Artificial Neural Network, the Fuzzy Logic, and the Table Look Up. Matlab based simulations had been carried out in order to compare the precision and the implementation of these algorithms procedures. The Table Look Up algorithm is consequently selected due to its performance.

Keywords

maximum power point trackers; photovoltaic power systems; MPPT techniques; PV systems; cell temperature; maximum power point trackers; photovoltaic panels; solar irradiance; Artificial neural networks; Fuzzy logic; Mathematical model; Maximum power point trackers; Neurons; Training; Artificial Neural Network; Fuzzy Logic; MPPT; Perturb & Observe; Photovoltaic energy; table look up;

fLanguage

English

Publisher

ieee

Conference_Titel

Renewable Energy Congress (IREC), 2014 5th International

Conference_Location

Hammamet

Print_ISBN

978-1-4799-2196-6

Type

conf

DOI

10.1109/IREC.2014.6827034

Filename

6827034