Journal
APPLIED SCIENCES-BASEL
Volume 7, Issue 4, Pages -Publisher
MDPI
DOI: 10.3390/app7040326
Keywords
PV; P and O; MPPT; fuzzy logic control; DC-DC converter
Categories
Funding
- Human Resource Training Program for Regional Innovation and Creativity through the Ministry of Education and National Research Foundation of Korea [NRF-2014H1C1A1066713]
- National R&D Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT & Future Planning [NRF-2016M1A3A1A02021173]
- National Research Foundation of Korea [2014H1C1A1066713] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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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.
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