Fuzzy based Maximum Power Point Tracking on a PV system

Author

Vinifa, R. ; Kavitha, Anbukumar

Author_Institution

Coll. of Eng., Guindy, Anna Univ., Chennai, India

fYear

2013

fDate

10-12 April 2013

Firstpage

329

Lastpage

333

Abstract

A substantial rise in global energy demand and growing concern about shortage on conventional energy reserves as well as environmental issues have drawn more attention to renewable energy sources. The photo voltaic (PV) cell has optimum operating point to be able to get maximum power. To obtain maximum power from photovoltaic power system usually requires Maximum Power Point Tracking (MPPT) Controller. In this work fuzzy based MPPT is proposed. The photovoltaic generator exhibits a nonlinear - characteristic and its maximum power (MP) point varies with solar insolation. Fuzzy logic is a natural way of expressing uncertain information and can be finely tuned to certain nonlinearities. The algorithm is verified for various atmospheric conditions in MATLAB/SIMULINK environment.

Keywords

fuzzy control; maximum power point trackers; solar cells; Matlab-Simulink environment; PV cell; PV system; atmospheric conditions; energy reserves; environmental issues; fuzzy based MPPT controller; fuzzy based maximum power point tracking controller; fuzzy logic; global energy demand; photovoltaic cell; photovoltaic generator; photovoltaic power system; renewable energy sources; Arrays; Fuzzy logic; Maximum power point trackers; Photovoltaic cells; Photovoltaic systems; Temperature; Maximum power point tracking; PV array characteristics; fuzzy logic controller;

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.2013.6533404

Filename

6533404