Title :
Microcontroller based densely clustered fuzzy logic algorithm for peak solar power tracking
Author :
Azam, Md Ali ; Hoque, Muminul ; Abdullah-Al-Nahid, Syed ; Imam, Hossain Toufiq
Author_Institution :
Dept. of Electr. & Electron. Eng., Bangladesh Univ. of Eng. & Technol., Dhaka, Bangladesh
Abstract :
In this paper, a densely clustered controllable precision based fuzzy logic algorithm for maximum power point tracking of a high capacity PV panel has been thoroughly developed. Slow transient response time as well as reliability problem of traditional fuzzy logic based MPPT algorithms have been successfully encountered in this paper. A high precision convergence of maximum power point tracking can be achieved with some trade-off between settling time in case where high power PV cell is being used. Performance of the proposed algorithm has been simulated in MATLAB / PSIM using the datasheet of MSX60 standard solar panel module. The algorithm has been written in a compatible mode for microcontrollers.
Keywords :
fuzzy logic; maximum power point trackers; microcontrollers; solar cells; MATLAB; PSIM; high precision convergence; maximum power point tracking; microcontroller based densely clustered fuzzy logic algorithm; peak solar power tracking; reliability problem; standard solar panel module; trade-off; transient response time; Algorithm design and analysis; Clustering algorithms; Fuzzy logic; Mathematical model; Software algorithms; Temperature; Artificial Intelligence; Fuzzy logic; High capacity PV; High precision; MPPT; Microcontroller; densely clustered; maximum power point tracking;
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1153-3
DOI :
10.1109/ICIEV.2012.6317374