DocumentCode
2727225
Title
ANFIS-based parameter estimation of one-diode equivalent circuit model of PV modules
Author
Kulaksiz, A.A.
Author_Institution
Electr. & Electron. Eng. Dept., Selcuk Univ., Konya, Turkey
fYear
2011
fDate
21-22 Nov. 2011
Firstpage
415
Lastpage
420
Abstract
Fast implementation and accurate operation of maximum power point tracking (MPPT) controllers can be realized by modeling the characteristics of PV modules obtaining equivalent parameters. In this study, ANFIS has been used to obtain three of the parameters in single-diode model of PV cells namely series resistance, shunt resistance and diode ideality factor. The input parameters of ANFIS are material type of PV modules, short circuit current, open circuit voltage, and unit area under I-V curve of PV module. The advantage of the proposed method is that the equivalent parameters can be obtained for a wide range of PV modules of different types (mono-crystalline, multi-crystalline and thin-film) using easily obtainable field test data. The simulation results suggest that, ANFIS model can be a useful tool for estimating equivalent parameters of PV modules.
Keywords
control engineering computing; diodes; fuzzy neural nets; fuzzy reasoning; maximum power point trackers; photovoltaic power systems; power engineering computing; power system control; short-circuit currents; ANFIS based parameter estimation; I-V curve; PV cells; PV modules; diode ideality factor; maximum power point tracking controllers; one diode equivalent circuit model; open circuit voltage; series resistance; short circuit current; shunt resistance; Computational modeling; Equivalent circuits; Integrated circuit modeling; Mathematical model; Photovoltaic cells; Predictive models; Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Informatics (CINTI), 2011 IEEE 12th International Symposium on
Conference_Location
Budapest
Print_ISBN
978-1-4577-0044-6
Type
conf
DOI
10.1109/CINTI.2011.6108541
Filename
6108541
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