Nurul Afiqah, Zainal and A. R., Yusoff and Ajisman, Apen (2019) Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances. Measurement, 131. pp. 100-108. ISSN 0263-2241. (Published)
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Abstract
The nonlinearity of solar irradiation and temperature leads to unstable photovoltaic (PV) outputs and decrease in efficiency. A method based on experimental study is developed to maximize the output of the PV panels using the combination of PV cooling system and fuzzy logic, fuzzy logic (FL)-based constant voltage (CV) maximum power point tracking (MPPT) algorithm. The PV cooling system reduces the PV panel temperature to the optimum temperature, while the FL-based CV MPPT algorithm tracks the maximum power of the PV panel. Experimental results showed that the combination of the two methods in a PV system results in improving the photovoltaic performances. Thus, the PV panel outputs increase when the PV panel works at its optimum temperature. This integrated FL-based CV MPPT controller proves the effectiveness in improving PV performances for any weather condition.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Photovoltaic panel; Maximum power point trackingConstant voltage; Fuzzy logic |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Manufacturing Engineering |
| Depositing User: | P. M. Dr. Ahmad Razlan Yusoff |
| Date Deposited: | 11 Jan 2019 02:39 |
| Last Modified: | 11 Jan 2019 02:39 |
| URI: | http://umpir.ump.edu.my/id/eprint/23305 |
| Download Statistic: | View Download Statistics |
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