Improved maximum power point tracking algorithm using a Fuzz…
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Work Details
- DOI 10.1109/pedg.2016.7527033
- OpenAlex ID W2493074261
- Type Conference-paper
- Language EN
- Published 01 Jun 2016
- Volume ii
- Pages 1–5
- Source IEEE International Symposium on Power El…
- FWCI 1.36
- Countries 2
- Institutions 3
- Added 10 Oct 2025
- Updated 16 Oct 2026
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Improved maximum power point tracking algorithm using a Fuzzy Logic Controller for a Photovoltaic System
Conference-paper 2016 EN
In this paper, an improved the maximum power point tracking (MPPT) in a Photovoltaic (PV) System is designed by using a Fuzzy Logic Controller (FLC). The objectives of designing the FLC for MPPT in the PV systems are to accelerate the MPPT rate, and to set a smaller oscillating zone around the maximum power point (MPP). The proposed FLC based MPPT adopts a set of variable step sizes with regard to…
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UN Sustainable Development Goals
2 SDGsAuthors & Affiliations
4 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Woonki Na | California State University, F… (US) | |
| 2 | Pengyuan Chen | California State University, F… (US) | |
| 3 | Jonghoon Kim | Chosun University (KR) | |
| 4 | Hong-Ju Jung | Hyosung Corporation (South Kor… (KR) | — |
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