An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-03-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/7/4/326 |
| _version_ | 1818237594105806848 |
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| author | Woonki Na Pengyuan Chen Jonghoon Kim |
| author_facet | Woonki Na Pengyuan Chen Jonghoon Kim |
| author_sort | Woonki Na |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-12T12:28:14Z |
| format | Article |
| id | doaj.art-0abe3adc48e4492c9961c680eb010e26 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-12T12:28:14Z |
| publishDate | 2017-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-0abe3adc48e4492c9961c680eb010e262022-12-22T00:24:29ZengMDPI AGApplied Sciences2076-34172017-03-017432610.3390/app7040326app7040326An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic ApplicationsWoonki Na0Pengyuan Chen1Jonghoon Kim2Electrical and Computer Engineering, California State University, Fresno 93740, CA, USAElectrical and Computer Engineering, California State University, Fresno 93740, CA, USAElectrical Engineering, Chungnam National University, Daejeon 34134, KoreaThis 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.http://www.mdpi.com/2076-3417/7/4/326PVP and OMPPTfuzzy logic controlDC-DC converter |
| spellingShingle | Woonki Na Pengyuan Chen Jonghoon Kim An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications Applied Sciences PV P and O MPPT fuzzy logic control DC-DC converter |
| title | An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications |
| title_full | An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications |
| title_fullStr | An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications |
| title_full_unstemmed | An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications |
| title_short | An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications |
| title_sort | improvement of a fuzzy logic controlled maximum power point tracking algorithm for photovoltic applications |
| topic | PV P and O MPPT fuzzy logic control DC-DC converter |
| url | http://www.mdpi.com/2076-3417/7/4/326 |
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