DocumentCode :
609310
Title :
Extraction of maximum power from photovoltaic system using fuzzy logic control
Author :
Rajesh ; Mabel, M. Carolin
Author_Institution :
Dept. of Electr. & Electron. Eng., St. Xavier´s Catholic Coll. of Eng., Nagercoil, India
fYear :
2013
fDate :
10-12 April 2013
Firstpage :
629
Lastpage :
634
Abstract :
Maximum power point tracking (MPPT) algorithms plays an important role in improving the performance of photovoltaic system. A fuzzy based MPPT algorithm is proposed with current controlled DC-DC converter. Two input and single output Sugeno fuzzy system with triangular membership function is used to generate the control current. The proposed method is implemented in MALAB and the maximum power tracking performance is evaluated. The performance of proposed method is compared with conventional perturb and observe (P&O) algorithm and without MPPT technique. The proposed method tracks the maximum operating point with no oscillation and improved accuracy. The simulation results prove the effectiveness of the proposed method.
Keywords :
DC-DC power convertors; electric current control; fuzzy control; maximum power point trackers; photovoltaic power systems; MATLAB; current control; current controlled DC-DC converter; fuzzy based MPPT algorithm; fuzzy logic control; maximum power extraction; maximum power point tracking; maximum power tracking performance; perturb and observe algorithm; photovoltaic system; Artificial neural networks; Environmental factors; Niobium; Simulation; Stability analysis; DC-DC converter; MPPT method; current control; fuzzy system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Efficient Technologies for Sustainability (ICEETS), 2013 International Conference on
Conference_Location :
Nagercoil
Print_ISBN :
978-1-4673-6149-1
Type :
conf
DOI :
10.1109/ICEETS.2013.6533457
Filename :
6533457
Link To Document :
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