Modelling of fuzzy logic controller for variable-step MPPT in photovoltaic system

Author

Roy, C.P. ; Vijaybhaskar, D. ; Maity, Tanmoy

Author_Institution

Dept. of Electr. Eng., Indian Sch. of Mines, Dhanbad, India

fYear

2013

fDate

6-8 Dec. 2013

Firstpage

341

Lastpage

346

Abstract

The output power of photovoltaic electrical systems is highly dynamic and non-linear in nature. In order to extract maximum power from such systems, maximum power point tracking (MPPT) technique is required. MPPT techniques with variable step-size of perturbation track the maximum power point (MPP) with more efficiency. In this paper, a model of a fuzzy logic controller (FLC) for determining the step-size of perturbation in duty-cycle of a photovoltaic electrical system to track MPP is presented and its result is compared with a classical method of exponential approximation in MATLAB/Simulinke.

Keywords

fuzzy control; maximum power point trackers; photovoltaic power systems; power generation control; FLC; fuzzy logic controller modelling; maximum power point tracking; photovoltaic electrical systems; photovoltaic system; variable-step MPPT technique; Fuzzy logic; Mathematical model; Maximum power point trackers; Photovoltaic systems; Resistance; Software packages; Maximum power point tracking; boost converter; exponential approximation; fuzzy logic control; membership function; perturb and observe;

fLanguage

English

Publisher

ieee

Conference_Titel

Condition Assessment Techniques in Electrical Systems (CATCON), 2013 IEEE 1st International Conference on

Conference_Location

Kolkata

Print_ISBN

978-1-4799-0081-7

Type

conf

DOI

10.1109/CATCON.2013.6737524

Filename

6737524