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Energy Storage Conversion Lab.

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An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications
Content type 2017
Title of paper An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications
Author Woonki Na, Pengyuan Chen and Jonghoon Kim
Publications Applied sciences
Status of publication published
Vol 7
Link 관련링크 https://www.mdpi.com/2076-3417/7/4/326 78회 연결

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.