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Appl. Sci. 2017, 7(4), 326; doi:10.3390/app7040326

An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications

1
Electrical and Computer Engineering, California State University, Fresno 93740, CA, USA
2
Electrical Engineering, Chungnam National University, Daejeon 34134, Korea
*
Author to whom correspondence should be addressed.
Received: 31 December 2016 / Revised: 13 March 2017 / Accepted: 14 March 2017 / Published: 29 March 2017
(This article belongs to the Special Issue Energy Saving)

Abstract

This paper presents an improved maximum power point tracking (MPPT) algorithm using a fuzzy logic controller (FLC) in order to extract potential maximum power from photovoltaic cells. The objectives of the proposed algorithm are to improve the tracking speed, and to simultaneously solve the inherent drawbacks such as slow tracking in the conventional perturb and observe (P and O) algorithm. The performances of the conventional P and O algorithm and the proposed algorithm are compared by using MATLAB/Simulink in terms of the tracking speed and steady-state oscillations. Additionally, both algorithms were experimentally validated through a digital signal processor (DSP)-based controlled-boost DC-DC converter. The experimental results show that the proposed algorithm performs with a shorter tracking time, smaller output power oscillation, and higher efficiency, compared with the conventional P and O algorithm. View Full-Text
Keywords: PV; P and O; MPPT; fuzzy logic control; DC-DC converter PV; P and O; MPPT; fuzzy logic control; DC-DC converter
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Na, W.; Chen, P.; Kim, J. An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications. Appl. Sci. 2017, 7, 326.

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